Summary
In this episode, Itai Green discusses the urgency of innovation in the fast-paced world of technology, the importance of engaging with startups, and how organizations can adapt to AI-driven change to stay relevant.

Key Topics

• The importance of rapid innovation in today's ecosystem
• How organizations can effectively engage with startups
• The impact of AI on organizational structure and strategy
• Strategies for managing change and fostering agility
• The role of leadership in driving innovation and speed
  
  

Chapters

00:00 Introduction and guest overview
03:52 Case study: Salesforce's rapid adaptation
04:58 The rise of AI tools like Wix and Base 44
06:30 The future of organizations in an AI-driven world
07:02 The challenge of organizational inertia and culture
08:22 The importance of understanding and engaging with the ecosystem
12:03 The difference in innovation dynamics between startups and large corporations
14:02 The value of maintaining startup culture within large companies
16:33 Changing KPIs and management mindset for innovation
18:00 How to start engaging with startups and new technologies
22:18 The pilot process and investment opportunities
27:52 The importance of leadership engagement in innovation
30:02 Managing bureaucracy and accelerating adoption
32:56 The importance of being aware of emerging solutions
35:58 The future of industry and the importance of ecosystem awareness
37:50 The most impactful non-AI technologies seen in startups
38:38 Alternative careers: Math teaching and lifelong learning
39:06 The role of foundational knowledge in a world of AI
40:16 The rapid pace of AI development and future outlook
41:07 Closing thoughts and how to connect with Itai Green

Links & Stuff

LinkedIn: https://www.linkedin.com/in/itaigreen/
Book: Innovation or Elimination: WINNING in a World of Constant Change
https://www.amazon.com/Innovation-Elimination-Winning-Constant-Change-ebook/dp/B0F1M7RC65

Support the show

Subscribe to the Project Flux Newsletter!

All our podcasts commentate on the weeks hottest news brought to you by the Project Flux Newsletter! 

Get a step ahead on the world of AI and tech, subscribe and get the weekly newsletter to your inbox every Monday!

Sign Up to Newsletter

Project Flux is independently owned, funded, and operated by its founder. Any external references or features are for community benefit only and do not imply endorsement, control, or ownership.

Summary

In this episode, we explore the rapid advancements in AI, its implications for jobs, project delivery, and the ethical considerations surrounding emerging models like Astra and Gemini. We discuss how AI is transforming industries and what the future might hold.

Key Topics

• AI model advancements from Astra, Gemini, and others
• Implications of AI on jobs and the economy
• The technical evolution of large language models and their capabilities
• Ethical considerations and safety in AI development
• The impact of AI on project delivery and construction industry

Chapters

00:00 Introduction to the AI landscape and recent developments
01:57 AI's impact on cybersecurity and economic models
03:52 The evolution of AI models and their capabilities
06:46 The debate on AI hype versus reality
10:02 Job displacement, diffusion, and the doomsday scenarios
14:48 The importance of AI alignment and value systems
19:55 Project delivery, automation, and decision-making bottlenecks
25:01 The future of AI models: Astra, Gemini, and emerging capabilities
29:52 Model efficiency, token usage, and recursive self-improvement
34:56 The role of browser use, agent swarms, and hacking incidents
40:02 The ethical and societal implications of AI advancements
45:11 AI in construction: design, automation, and project management
49:00 Summary, future outlook, and closing remarks

Support the show

Subscribe to the Project Flux Newsletter!

All our podcasts commentate on the weeks hottest news brought to you by the Project Flux Newsletter! 

Get a step ahead on the world of AI and tech, subscribe and get the weekly newsletter to your inbox every Monday!

Sign Up to Newsletter

Project Flux is independently owned, funded, and operated by its founder. Any external references or features are for community benefit only and do not imply endorsement, control, or ownership.

Summary

In this episode of Project Flux, James and Yoshi talk with Chris de Gruben about AI, automation, AGI, the future of work, and its impact on property and professional services. If you want to understand how AI could reshape your career and what skills will matter next, this conversation is worth a listen.

Key Topics

• AI's role in military and warfare
• Impact of AI on jobs and industry
• AI regulation and ethical considerations
• Development of AGI and superintelligence
• Global AI strategies and cultural differences
• AI's influence on property and real estate
• Education and AI literacy for the future
• AI's economic and geopolitical implications

Chapters

00:00 Introduction and guest overview
03:16 Autonomous systems and AI in military operations
06:26 Regional AI strategies: Middle East and cultural differences
10:28 Future job roles and AI-driven job transformation
14:13 Training future surveyors and AI skills
18:08 Transforming consulting and transformation projects
21:22 The speed of AI adoption and technological progress
25:17 Global disparities and AI's geopolitical impact
30:35 Tools for AI compliance and standards enforcement
35:10 Defining AGI and superintelligence
38:36 Physical hardware and AI embodiment
42:39 Synthetic data and AI training challenges
43:15 Fragmentation and shadow AI risks
44:30 Brand, reputation, and trust in AI-driven industry
45:14 Risks of AI mishandling and data leaks
46:17 Societal resistance and AI backlash
47:24 The future of human-driven services and AI coexistence
48:39 Preparing for AI: education and soft skills
49:03 Surveying and AI: future skills and roles
49:53 Closing remarks and future outlook

Links & Stuff

LinkedIn: https://www.linkedin.com/in/degruben/
Sponsored By:  morta.io

Support the show

Subscribe to the Project Flux Newsletter!

All our podcasts commentate on the weeks hottest news brought to you by the Project Flux Newsletter! 

Get a step ahead on the world of AI and tech, subscribe and get the weekly newsletter to your inbox every Monday!

Sign Up to Newsletter

Project Flux is independently owned, funded, and operated by its founder. Any external references or features are for community benefit only and do not imply endorsement, control, or ownership.

Summary

Galen Low, co-founder of the Digital Project Manager, shares insights on how digital project management intersects with AI, human skills, and the future of work in a rapidly changing technological landscape.

Key Topics

• Impact of AI on project management
• Human skills versus technical skills in the AI era
• The divide between system-focused and social-focused project managers
• Adapting to rapid technological change
• The importance of collaboration and communication
• The evolution of job roles and titles in project management
• Overcoming fear and misinformation about AI
• Strategies for lifelong learning and adaptability

Chapters

00:00 Introduction to Galen Lowe and his work
01:32 Connecting digital project management with infrastructure
03:47 Impact of AI on project leadership and industry mindset
05:00 Initial reactions to AI and project management evolution
08:25 Concerns about the rapid pace of AI development
10:02 Division between system-focused and social-focused project managers
17:03 The importance of human skills in an AI-driven world
20:21 The artificial divide and the convergence of skills
22:36 Using AI to enhance collaboration and learning
30:39 The journey of AI adoption and managing expectations
37:34 The potential for AI to close gaps and improve teamwork
39:14 Advice for future project managers in a changing world
44:13 The value of human connection and storytelling
47:03 Reflections on the meaning of impact and legacy
48:16 Where to find Galen Lowe and connect with him

Links & stuff
LinkedIn: transformation-advisor
Galen Low's Website: https://thedigitalprojectmanager.com/
This episode is sponsored by Morta
morta.io

Support the show

Subscribe to the Project Flux Newsletter!

All our podcasts commentate on the weeks hottest news brought to you by the Project Flux Newsletter! 

Get a step ahead on the world of AI and tech, subscribe and get the weekly newsletter to your inbox every Monday!

Sign Up to Newsletter

Project Flux is independently owned, funded, and operated by its founder. Any external references or features are for community benefit only and do not imply endorsement, control, or ownership.

Summary

In this episode, Dr. Alex Leithard discusses the landscape of AI, its applications, cultural implications, pricing models, and the future of AI technology. Listeners will gain insights into how organizations can approach AI adoption responsibly and effectively.

Key Topics

• AI landscape and applications
• Cultural change in AI adoption
• Pricing models and economic impact of AI
• Measuring AI value and impact
• AI safety, bias, and ethical considerations
• Future trends and the potential of AGI

Chapters

00:00 Introduction to Dr. Alex Leithardt and episode overview
01:08 Dr. Leithardt's background and journey into AI
02:42 Understanding AI technologies and their applications
04:32 The role of organizational culture in AI adoption
05:48 Hypothesis testing and experimentation in AI projects
07:30 Quantitative vs qualitative measurement of AI value
08:49 Challenges in AI ROI and market disruption
13:50 Pricing models for AI: Value-based and outcome-based
18:20 Market disruption and the race to AI adoption
22:26 Environmental impact and data transparency in AI
24:49 On-device AI and future ecosystem considerations
28:50 Predictions for AGI and the future of AI technology
31:27 Consciousness, intelligence, and philosophical perspectives
34:33 Information overload and managing AI in organizations
36:20 Transparency, opaqueness, and user experience in AI tools
38:30 Data privacy, bias, and responsible AI use
41:21 Book and resource recommendations from Dr. Leithardt
43:24 On device AI stacks and tools used by Dr. Leithardt
44:50 Closing remarks and future discussions

Links & Stuff

🔗 Connect with Alex Leathard on LinkedIn:
https://www.linkedin.com/in/alexleathard/

Support the show

Subscribe to the Project Flux Newsletter!

All our podcasts commentate on the weeks hottest news brought to you by the Project Flux Newsletter! 

Get a step ahead on the world of AI and tech, subscribe and get the weekly newsletter to your inbox every Monday!

Sign Up to Newsletter

Project Flux is independently owned, funded, and operated by its founder. Any external references or features are for community benefit only and do not imply endorsement, control, or ownership.

Summary

In this episode, Nate Amidon shares his unique journey from a C-17 pilot to founder of Form 100 Consulting, highlighting how military skills translate into technology consulting and the importance of trust and governance in AI deployment.

Key Topics

• Military skills in technology consulting
• The importance of trust in AI
• Governance and regulation of AI tools
• Using AI to improve decision-making and project delivery
• The OODA loop and AI's role in fast decision environments
• Transitioning from military to civilian tech careers

Chapters

00:00 Introduction and episode overview
01:12 Nate Amidon's background as a C-17 pilot
02:13 Transition from military to technology consulting
03:01 Skills transfer from military to tech projects
04:07 Differences and similarities between military and private sector processes
06:23 The role of SOPs and regulation in organizations
08:14 AI governance and risk management
10:23 Balancing governance and innovation in AI deployment
13:17 Trust in AI and project reporting
17:06 Watermarking and authenticity of AI-generated content
19:30 The role of AI in decision-making and the OODA loop
22:20 AI's ability to discern and make decisions
28:39 Long horizon tasks and AI autonomy
33:17 Veteran support programs and MSSA
34:02 AI as a decision-making and creativity tool
37:55 Risks of over-reliance on AI in project management
42:18 Nate Amidon's work with veterans and future predictions

Links & Stuff

🔗 Connect with Nate Amidon on LinkedIn:
Nate Amidon on LinkedIn

🔗 Learn More About Movar:
Visit Movar Reply

Support the show

Subscribe to the Project Flux Newsletter!

All our podcasts commentate on the weeks hottest news brought to you by the Project Flux Newsletter! 

Get a step ahead on the world of AI and tech, subscribe and get the weekly newsletter to your inbox every Monday!

Sign Up to Newsletter

Project Flux is independently owned, funded, and operated by its founder. Any external references or features are for community benefit only and do not imply endorsement, control, or ownership.

Summary

In this episode, Sir Robert Buckland discusses the impact of AI on the justice system, the challenges of integrating technology into legal processes, and the future of AI regulation. His insights shed light on how AI can transform justice while highlighting the importance of human judgment and ethical considerations.

Key Topics

• Impact of AI on the justice system
• Challenges of integrating AI into courts
• AI bias and ethical considerations
• Future regulation of AI and legal implications
• Training legal professionals for AI adoption

Chapters

00:00 Introduction to Sir Robert Buckland and his career
03:29 The risks of misinformation and deep fakery in courts
07:09 The importance of verification and professional standards
11:24 The role of human judgment versus AI in courts
17:36 The evolution of legal work and technology over decades
20:39 AI's impact on court backlog and efficiency
24:00 Bias in large language models and societal implications
26:37 Law and social change: AI's role in reflecting societal values
27:18 The importance of human final judgment in legal decisions
30:50 Richard Susskind's perspective on professional change
31:15 The future of the legal profession in the AI era
33:17 Developing AI systems in partnership with legal professionals
34:30 Lessons from past technological failures in justice systems
35:09 Risks of AI system failures and the need for oversight
36:10 The shift towards output-based legal service pricing
37:24 The potential of agentive AI in court processes
38:23 Insights into government decision-making and AI awareness
40:21 The role of government and regulation in AI development
42:23 Global AI regulation: EU, US, and UK perspectives
44:29 Reflections on technological innovation and future prospects

Links  & Stuff 

• Sir Robert Buckland KC: Protecting the Rule of Law Doesn’t Mean the Rule of Lawyers
  Read the article
• AI, Machine Learning and the Justice System – Harvard Kennedy School Research Paper
  Read the full research paper (PDF)
• About Sir Robert Buckland KC
  Learn more about Sir Robert Buckland

LinkedIn: Connect with Sir Robert Buckland on LinkedIn

Support the show

Subscribe to the Project Flux Newsletter!

All our podcasts commentate on the weeks hottest news brought to you by the Project Flux Newsletter! 

Get a step ahead on the world of AI and tech, subscribe and get the weekly newsletter to your inbox every Monday!

Sign Up to Newsletter

Project Flux is independently owned, funded, and operated by its founder. Any external references or features are for community benefit only and do not imply endorsement, control, or ownership.

Summary

In this episode, Isabela Parisio, an AI policy and governance expert, discusses the complexities of AI regulation, the race between law and technology, and the future of AI in legal and other sectors. She shares insights from her experience at King's College and her research on responsible AI.

Key Topics

• AI policy and governance complexities
• The pace of regulation versus technological development
• Global and regional AI regulations
• The impact of AI on legal practice and law firms
• Market power and geopolitical considerations in AI regulation
• The role of regulators and dialogue in AI governance
• AI hallucinations and legal liability
• Future predictions for AI regulation in five years

Chapters

00:00 Introduction to AI policy and governance
02:01 Isabella's background and journey into AI regulation
03:48 The increasing importance of AI regulation and political debates
06:07 The scattered landscape of global AI regulations
06:57 Law versus technology: the race and pace problem
08:56 The impact of market power and geopolitical interests
10:54 The role of regulation in innovation and risk management
13:03 Case study: AI in the legal sector and liability issues
15:57 The importance of dialogue and regulatory engagement
17:57 Future predictions for AI regulation and potential crises

Links and Stuff

Isabella’s Linked In - https://www.linkedin.com/in/isabela-parisio-?utm_source=share_via&utm_content=profile&utm_medium=member_ios

Richard Susskind — The Future of the Professions

The Future of the Professions: How Technology Will Transform the Work of Human Experts (Richard Susskind & Daniel Susskind, updated edn 2022) — https://global.oup.com/academic/product/the-future-of-the-professions-9780198841890

AI policy and governance research at King's College London

• King's Institute for Artificial Intelligence — https://www.kcl.ac.uk/ai
• TELOS — Centre for Technology, Ethics, Law and Society (Dickson Poon School of Law) — https://www.kcl.ac.uk/research/centre-for-technology-ethics-law-and-society-telos — the one to cite for AI regulation and governance specifically
• Responsible AI UK at King's — https://www.kcl.ac.uk/research/rai-uk
• UKRI Centre for Doctoral Training in Safe and Trusted AI (KCL / Imperial) — https://safeandtrustedai.org/

Support the show

Subscribe to the Project Flux Newsletter!

All our podcasts commentate on the weeks hottest news brought to you by the Project Flux Newsletter! 

Get a step ahead on the world of AI and tech, subscribe and get the weekly newsletter to your inbox every Monday!

Sign Up to Newsletter

Project Flux is independently owned, funded, and operated by its founder. Any external references or features are for community benefit only and do not imply endorsement, control, or ownership.

Summary

In this episode, Emile Kfouri  from Autodesk shares insights on AI's evolving role in construction and design, the future of outcome-based modeling, and how humans and AI can collaborate effectively.

Key Topics

• AI's role in construction and design
• Outcome-based modeling and its implications
• The evolution of developer work with AI
• Heuristics and their role in AI development
• Multi-agent systems and scaffolding in AI
• Responsible AI and ethical considerations
• Future skills for developers and users
• The impact of AI on human roles and collaboration

Chapters

00:00 Introduction and episode overview
01:13 Guest introduction: Emil Kofori from Autodesk
02:09 Emil's background and team overview at Autodesk
04:03 Challenges in AI adoption and responsible use
05:22 Changes in developer advocacy and AI's influence
07:33 Shift towards outcome-based design in construction
09:41 Scrutinizing AI models and understanding their thought process
12:25 Multi-agent architectures and scaffolding in AI
17:45 Heuristics, AI, and open-ended problem solving
23:06 Indicators for when not to use AI
28:50 The future skills of developers and humans in AI era
39:31 Books that influenced Emil's thinking
41:34 Predictions for AI in AEC in five years
43:06 Closing remarks and where to find Emil

Links and Stuff 

Emile Kfouris's Linkedin : https://www.linkedin.com/in/emile-kfouri/

Support the show

Subscribe to the Project Flux Newsletter!

All our podcasts commentate on the weeks hottest news brought to you by the Project Flux Newsletter! 

Get a step ahead on the world of AI and tech, subscribe and get the weekly newsletter to your inbox every Monday!

Sign Up to Newsletter

Project Flux is independently owned, funded, and operated by its founder. Any external references or features are for community benefit only and do not imply endorsement, control, or ownership.

Summary

In this week's episode, we are joined by João Dias, Co-Founder and CEO of Constructer.ai, and Dr Shirin Dora, Senior Lecturer in Neuromorphic Computing at Loughborough University, to discuss what trustworthy AI really requires in construction.

Key Topics

• AI's impact on construction project management
• Data quality and unstructured data in construction
• Use of live data versus historical data in AI models
• The importance of domain expertise in AI solutions
• Challenges of AI adoption in construction industry
• The concept of faithful but wrong in AI outputs
• Future prospects of AI and AGI in construction

Chapters

00:00 Introduction to the episode and guests
01:09 Joao Dias discusses his background and motivation for founding Constructor
02:34 The personal pain points in project delivery that AI aims to solve
03:11 Shirin Dora shares her transition from academic machine learning to industry impact
04:11 The collaboration between domain expertise and AI technology
06:02 Differentiating Constructor from other construction tech platforms
09:52 Constructor's approach: detect, quantify, and act with live data
11:01 Why focus on live data instead of historical data
12:21 Choosing appropriate AI techniques for construction problems
16:15 Understanding hallucination versus faithful but wrong in AI outputs
21:32 Liability and trust in AI-generated insights in construction
24:13 Current AI adoption levels in the construction industry
34:24 Preparing for the future: building AI capabilities for construction professionals
41:54 The long-term outlook for AI and the possibility of AGI in construction

Connect with the Guests:

• Joao Dias - LinkedIn
• Shirin Dora - Linkedin
• Constructer.ai

Support the show

Subscribe to the Project Flux Newsletter!

All our podcasts commentate on the weeks hottest news brought to you by the Project Flux Newsletter! 

Get a step ahead on the world of AI and tech, subscribe and get the weekly newsletter to your inbox every Monday!

Sign Up to Newsletter

Project Flux is independently owned, funded, and operated by its founder. Any external references or features are for community benefit only and do not imply endorsement, control, or ownership.

Summary

Helen Routledge, CEO of Totem Learning, shares insights on the intersection of AI, serious games, and human behavior. Discover how immersive technology and behavioral science are shaping the future of learning and performance.

Key Topics

• The role of serious games in behavior change
• Impact of AI on game design and creativity
• The importance of practice in learning and memory
• Holistic systems thinking in technology adoption
• Ethics and regulation of AI in training
• The human element in AI-driven systems
• Cost and quality considerations in immersive learning
• The future of work and AI adoption among different age groups

Chapters

00:00 Introduction to Helen Routledge and Totem Learning
01:10 Helen's background in psychology and behavior change
02:30 What are serious games and their role in learning
03:46 Current focus on AI and its impact on software and game design
05:18 The challenge of quality in AI-generated content
06:55 The importance of creativity and human direction in game development
07:41 Holistic systems thinking in behavior change and technology
08:22 Practice versus instant knowledge in learning
10:30 Building mental models through practice and experience
12:18 The value of doing and experiential learning
13:33 The emotional element in learning and AI simulation
15:33 Empowering learners through problem-solving and choice
17:00 AI as a supporter versus a control in learning
18:03 Designing AI characters with emotional and psychological depth
20:28 Emulating emotion and human traits in AI characters
22:39 Cost, quality, and the economics of immersive learning
24:36 Risks and safeguards in AI development and deployment
26:31 Experimentation and rapid testing with AI tools
28:14 Regulation, safety, and slowing down AI progress
30:43 AI adoption and resistance among different age groups
33:22 The societal impact of AI and future work trends
36:22 The importance of human connection in a digital world
38:45 The unique value of human judgment in immersive learning
42:37 Helen's recommended game: Zelda Breath of the Wild
43:46 Nested problem solving in games and real-world applications
44:50 The joy of curiosity and continuous learning
45:46 Connecting with Helen and final thoughts

Links and Stuff

Support the show

Subscribe to the Project Flux Newsletter!

All our podcasts commentate on the weeks hottest news brought to you by the Project Flux Newsletter! 

Get a step ahead on the world of AI and tech, subscribe and get the weekly newsletter to your inbox every Monday!

Sign Up to Newsletter

Project Flux is independently owned, funded, and operated by its founder. Any external references or features are for community benefit only and do not imply endorsement, control, or ownership.

Summary

In this episode, Ritesh Patel, co-founder of TicketFairy, shares insights on how AI is transforming event management, ticketing, and industry dynamics. Discover how innovative AI-driven tools are streamlining operations, enhancing fan engagement, and shaping the future of live events.

Key Topics

• AI in event management and ticketing
• Automation of event production tasks
• Word of mouth and network effects in ticket sales
• AI-driven industry insights and analytics
• Custom AI harness and skills for event planning
• Impact of AI on jobs and industry dynamics

Chapters

00:00 Introduction to Ritesh Patel and TicketFairy
01:11 Ritesh's background in tech and event production
03:03 Identifying market gaps in event tech
03:55 TicketFairy's dual focus on promoters and fans
04:46 The importance of industry health and sustainability
05:57 Digitizing word of mouth and marketing
08:54 AI's role in streamlining event logistics
10:57 Building custom AI harnesses for industry-specific needs
12:58 Early experiments with AI and LLMs in event management
15:04 The development of AI agents for event production
18:02 Proactive AI in operational management and safety
19:56 AI for continuous improvement and feedback loops
21:48 AI's role in logistics, contracts, and vendor management
24:56 The importance of ground-level experience in AI development
29:56 Scaling AI systems for business and industry
31:53 Future potential of recursive AI improvements
33:52 Impact of AI on jobs and industry efficiency
37:09 Societal implications and the AI revolution
40:05 The enduring value of in-person experiences
41:08 Personal influences and recent technological inspirations
42:06 Predictions for the future of live events in 2031
43:50 Closing thoughts and where to find Ritesh

Links and Stuff

Ticket Fairy's Linkedin : 

Support the show

Subscribe to the Project Flux Newsletter!

All our podcasts commentate on the weeks hottest news brought to you by the Project Flux Newsletter! 

Get a step ahead on the world of AI and tech, subscribe and get the weekly newsletter to your inbox every Monday!

Sign Up to Newsletter

Project Flux is independently owned, funded, and operated by its founder. Any external references or features are for community benefit only and do not imply endorsement, control, or ownership.

Summary

In this episode, Alex Luketa from Xerini shares insights on AI, data management, and the future of technology, emphasizing the importance of data quality, governance, and the societal impacts of AI.

Key Topics

• Data silos and quality issues
• Impact of AI on organizational culture
• Risks and governance of AI
• Future hardware and local models
• Societal impacts and inequality

Chapters

00:00 Introduction to Alex Luketa and Zorini
01:15 Alex's background in finance and AI
02:28 The core problem: Data silos and quality
03:38 AI's influence on organizational culture
04:39 Progress in data maturity and AI adoption
06:45 Starting small with data projects
08:10 Using AI to assess data quality
09:11 Lessons from HS2 project and AI failures
10:07 Business case and success metrics for AI
11:35 Addressing AI panic and data security concerns
12:14 Risks of AI and data privacy
14:58 The future of AI hardware and costs
16:10 Legislation, governance, and geopolitical risks
18:36 Local models and AI competition
20:43 Environmental costs of AI and data centers
22:24 Global AI market and competition
24:31 Market dynamics and monopoly concerns
26:13 The power of local hardware and AI accessibility
28:38 AI's societal impact and inequality
32:20 AI in healthcare and societal benefits
36:28 The future of AI legislation and governance
40:20 Adapting to AI and future predictions
44:27 Predictions for AI in 2031
46:26 Where to find Alex and Zorini

LINKS AND STUFF 

Alex Luketa's Linkedin : https://www.linkedin.com/in/alex-luketa?utm_source=share_via&utm_content=profile&utm_medium=member_ios

Support the show

Subscribe to the Project Flux Newsletter!

All our podcasts commentate on the weeks hottest news brought to you by the Project Flux Newsletter! 

Get a step ahead on the world of AI and tech, subscribe and get the weekly newsletter to your inbox every Monday!

Sign Up to Newsletter

Project Flux is independently owned, funded, and operated by its founder. Any external references or features are for community benefit only and do not imply endorsement, control, or ownership.

Summary

In this episode, Atif Ansar discusses the transformative impact of AI on project management, the psychological biases affecting project delivery, and the future of autonomous construction. He shares insights from his work at Foresight Works and explores how AI can enhance decision-making and efficiency in complex projects.

Key Topics

• Impact of AI on project management and construction
• Psychological and political biases in project delivery
• Reference class forecasting and AI techniques
• The acceleration of AI capabilities and compute power
• Organizational change and new work structures with AI
• Risks and limitations of AI models in project management
• Future predictions for autonomous construction and AI

Chapters

00:00 Introduction to Atif Ansar and his work
01:54 The impact of AI on project management and infrastructure
04:14 Reference class forecasting and human biases
06:00 The acceleration of AI capabilities and compute power
07:53 Psychological biases and organizational resistance
10:03 Biases in project delivery and organizational culture
12:11 The future of AI in project management and construction
14:12 AI's role in de-biasing and decision support
16:03 Displacement and augmentation of jobs by AI
17:54 The economic impact of AI and data-driven companies
19:50 Small teams, small companies, and AI empowerment
21:57 Organizational structures and pod methodology
24:03 Limitations of AI and implicit knowledge
25:50 AI in project controls and schedule management
27:53 The ecosystem of AI models and system integration
30:00 Future predictions for autonomous construction
31:53 The importance of human expertise and implicit knowledge
34:01 The future of vertical AI and specialized models
36:11 Connecting AI systems and APIs
37:58 Practical applications of AI in project scheduling
40:02 Leadership and organizational maturity in AI adoption
41:54 The limits of codifying complex systems
44:01 The role of implicit knowledge and human experience
45:54 Bold predictions for AI and project delivery in 2034
47:53 Closing remarks and how to connect with Atif

Links and Stuff

Atif Ansar's Linkedin: https://www.linkedin.com/in/dr-atif-ansar-940bab1?utm_source=share_via&utm_content=profile&utm_medium=member_ios

https://www.foresight.works/

Support the show

Subscribe to the Project Flux Newsletter!

All our podcasts commentate on the weeks hottest news brought to you by the Project Flux Newsletter! 

Get a step ahead on the world of AI and tech, subscribe and get the weekly newsletter to your inbox every Monday!

Sign Up to Newsletter

Project Flux is independently owned, funded, and operated by its founder. Any external references or features are for community benefit only and do not imply endorsement, control, or ownership.

Summary

In this episode, Dr. Craig Ramlal and Daniel Goitia from the University of West Indies discuss the regional and global implications of AI, the importance of regulation, and the Caribbean's role in shaping AI policy and innovation.

Key Topics

• Regional AI development in the Caribbean
• Global AI governance and regulation
• Data sovereignty and bias in AI systems
• The role of international organizations in AI policy
• Challenges of AI safety and interoperability

Chapters

00:00 Introduction to AI in the Caribbean
03:31 The Evolution of AI and Its Challenges
07:03 Public Perception of AI and Its Implications
11:40 Global AI Governance and Regional Perspectives
16:27 Balancing Innovation and Regulation in AI
20:45 Harmonizing AI Policies in the Caribbean
22:45 Digital Preservation and AI Challenges
25:44 Building Capacity in the Caribbean
28:38 Data Sovereignty and AI Opportunities
31:14 Regulation and Global Standards for AI
35:49 The Future of AI: Risks and Responsibilities
42:54 james.mp4
43:34 Exploring Key Themes in Project Flux
43:46 Exploring the Core Principles of Project Management

Links and Stuff

Dr. Craig Ramlal's LinkedIn: https://www.linkedin.com/in/craig-ramlal-359b87249/
Daniel Goitia's LinkedIn:  https://www.linkedin.com/in/daniel-goitia-b1347471/ 

Support the show

Subscribe to the Project Flux Newsletter!

All our podcasts commentate on the weeks hottest news brought to you by the Project Flux Newsletter! 

Get a step ahead on the world of AI and tech, subscribe and get the weekly newsletter to your inbox every Monday!

Sign Up to Newsletter

Project Flux is independently owned, funded, and operated by its founder. Any external references or features are for community benefit only and do not imply endorsement, control, or ownership.

Episode Description

In this episode, Rob Butler shares his journey from project management to data analytics and AI, exploring how emerging technologies like graph databases, AI coding, and decision intelligence are transforming the project controls industry. We discuss the future of AI, ethical considerations, and practical steps for adopting innovative tools in complex projects.

Key Topics

• Rob Butler's background in project management and data analytics
• The impact of AI on coding and project decision-making
• Graph databases and their application in projects
• Challenges and opportunities of AI in critical systems
• The concept of decision intelligence in project controls
• The role of skills and tools in future project management
• Ethical and security considerations of advanced AI models
• Practical steps for adopting new technologies in projects

Chapters

00:00 Introduction to AI's Impact on Coding
06:23 Navigating Project Management and Coding
09:59 Emerging Challenges in Tech and Project Management
12:44 Understanding Graph Databases
20:42 AI and Knowledge Graphs: Finding Patterns
26:48 The Role of Skills in AI Agents
29:37 Collective Intelligence and Agent Networks
33:36 Risks and Alignments in AI Models
36:28 Framing Context in AI Outputs

Links & stuff
Rob Butler on LinkedIn: https://www.linkedin.com/in/rob-butler-65841953/
https://www.linkedin.com/company/kaleidoprojects/posts/?feedView=all
https://kaleidoprojects.co.uk/
 Rob Butler's website—https://kaleidoprojects.co.uk/

Support the show

Subscribe to the Project Flux Newsletter!

All our podcasts commentate on the weeks hottest news brought to you by the Project Flux Newsletter! 

Get a step ahead on the world of AI and tech, subscribe and get the weekly newsletter to your inbox every Monday!

Sign Up to Newsletter

Project Flux is independently owned, funded, and operated by its founder. Any external references or features are for community benefit only and do not imply endorsement, control, or ownership.

Episode Description

In this episode, Lucrezia Noli from Google shares insights on AI's rapid evolution, agentic AI, world models, and the future of AI integration in industries. Discover how Google is shaping the next wave of AI technology and what it means for businesses and developers.

Key Topics

• Evolution of AI and large language models
• Agentic AI and its capabilities
• Grounding LLMs with real-time data
• Google's Gemini and world models
• Multi-agent architectures and collaboration
• AI's role in healthcare and life sciences
• Challenges and risks in AI deployment
• Future predictions for AI development

Chapters

00:00 Introduction to AI in Healthcare
03:49 The Evolution of Data Science and AI
06:36 Understanding AI Agents and Their Capabilities
09:41 The Role of Human Judgment in AI
12:14 The Displacement Paradox: Can AI Replace Us?
15:00 Trust and Collaboration with AI Agents
17:59 Navigating the Future of AI in Organizations
20:42 Multi-Agent Architectures: Collaboration and Differentiation
23:45 The Future of AI Marketplaces
29:50 Navigating AI Implementation Challenges
33:15 Understanding AI Models and Their Evolution
39:47 The Future of World Models vs. Large Language Models
43:03 The Intersection of Jazz and AI
46:05 Predictions for the Future of AI Interaction


Links & stuff
Lucrezia Noli on LinkedIn: https://www.linkedin.com/in/lucrezianoli/
Lucrezia’s website - https://lucrezianoli.ldn-projects.com/

Sign Up for NPlan AI Day ;https://www.nplan.io/events/nplan-summer-ai-day-2026-construction-superintelligence?utm_campaign=37177368-nPlan%20Summer%20AI%20Day%202026&utm_source=projectflux

Support the show

Subscribe to the Project Flux Newsletter!

All our podcasts commentate on the weeks hottest news brought to you by the Project Flux Newsletter! 

Get a step ahead on the world of AI and tech, subscribe and get the weekly newsletter to your inbox every Monday!

Sign Up to Newsletter

Project Flux is independently owned, funded, and operated by its founder. Any external references or features are for community benefit only and do not imply endorsement, control, or ownership.

Summary

In this episode, we explore the latest in AI, extended reality, and future tech trends with expert Ryan Clarke. We discuss the impact of AI on project management, the evolution of mixed reality devices like Apple Vision Pro, and the ethical considerations of emerging technologies.

Key Topics

• AI's role in project management and data analysis
• The rise and fall of Meta's Horizon Worlds and the metaverse
• The development and potential of Apple Vision Pro
• Privacy concerns with AR glasses and video capture
• Vibecoding and rapid prototyping with AI
• The convergence of AI, neurology, and human augmentation
• Predictions for AI and superintelligence in the next decade

Chapters

00:00 Introduction and Guest Reintroduction
05:02 Exploring Extended Reality and Its Challenges
10:56 The Future of Mixed Reality and AI Integration
15:30 Use Cases and Practical Applications of XR Technology
21:57 Predictions for the Future of XR and AI
26:33 The Influence of Product Placement in Media
27:52 Exploring Vibe Coding and Extended Reality
29:50 Prototyping with Vibe Coding: A New Era
31:46 The Challenges of Data Visualization and Client Engagement
33:34 Navigating the Limitations of Current Technology
35:16 The Future of Presentations: Moving Beyond PowerPoint
37:20 The Importance of Clean Data in Decision Making
39:05 Legacy Systems: The Challenge of Modernization
41:13 The Human Element in Automation and AI
43:08 The Future of Work: Embracing Change and Innovation
51:05 Unleash the Code 1 Second.mp3
51:44 Introduction to Project Flux
51:44 Exploring the Core Principles of Project Management
51:58 Unleash the Code Intro.wav

Links & Stuff:
You can find more about Ryan Clarke:
Ryan’s Linkedin: https://www.linkedin.com/in/ryanclarke3/

Support the show

Subscribe to the Project Flux Newsletter!

All our podcasts commentate on the weeks hottest news brought to you by the Project Flux Newsletter! 

Get a step ahead on the world of AI and tech, subscribe and get the weekly newsletter to your inbox every Monday!

Sign Up to Newsletter

Project Flux is independently owned, funded, and operated by its founder. Any external references or features are for community benefit only and do not imply endorsement, control, or ownership.

Summary

In this episode, conversation with Martin Neale explores the impact of AI and video production technology on the industry, emphasizing how technological advancements expand the overall 'pie' rather than just shifting slices. It challenges misconceptions about AI taking over roles and highlights the importance of understanding the broader benefits of innovation.

Key Topics

• AI's impact on video production
• Myths about AI taking over roles
• Technology increases industry size
• Video as a tool for better understanding

Chapters

00:00 Introduction to Martin Neale and ICS AI
02:06 Martin's Journey into AI and ICS AI
04:07 AI Adoption in Different Sectors
06:13 The Role of AI in Education and Local Government
09:30 Generational Perspectives on AI
12:08 The Impact of AI on Job Markets
14:51 AI's Role in Recruitment and Workforce Dynamics
18:08 The Future of AI in Organizations
23:21 The Evolution of AI Architecture
24:05 Ambition in AI Implementation
26:53 Measuring AI Success in Organizations
28:26 Challenges in AI Implementation
30:26 Transforming Public Services with AI
33:07 Navigating Dialects and Accents in AI
34:56 Ethics of AI Communication
37:04 The Future of AI and Human Interaction
39:52 Influences and Inspirations in AI Development
43:16 james .mp4
43:57 Exploring Key Themes in Project Flux
44:06 Introduction to Project Flux
44:06 Exploring the Core Principles of Project Management
44:19 Unleash the Code Intro.wav

links and Resources 

You can find Martin Neale on:

Linkedin: https://www.linkedin.com/in/martinneale?utm_source=share_via&utm_content=profile&utm_medium=member_ios

Website : https://www.ics.ai/

Support the show

Subscribe to the Project Flux Newsletter!

All our podcasts commentate on the weeks hottest news brought to you by the Project Flux Newsletter! 

Get a step ahead on the world of AI and tech, subscribe and get the weekly newsletter to your inbox every Monday!

Sign Up to Newsletter

Project Flux is independently owned, funded, and operated by its founder. Any external references or features are for community benefit only and do not imply endorsement, control, or ownership.

Summary

In this episode, industry expert Phil Chell discusses the transformative impact of AI on construction, project management, and professional services. Topics include AI-driven efficiency, industry challenges, and future visions for construction technology. In this engaging interview, Phil Chell shares insights on AI, construction tech, company culture, and future trends in technology. Discover real-world success stories, challenges faced, and the transformative power of innovation in the industry.

Key Topics

• AI-driven efficiency in construction
• Industry challenges and skills gap
• Future visions for construction technology AI in construction and security
• Company culture and innovation
• Success and failure stories in tech
• Future trends in AI and automation

Timestamps:
00:00 - Intro and guest introduction: Phil Chell, AI pioneer in construction
02:48 - The origin story of Hera Waterproofing and AI integration
05:26 - Challenges facing the construction industry and AI opportunities
08:37 - Automating order processing with API and LLM technology
11:21 - The role of human oversight and managing job displacement fears
13:42 - Rethinking the QS profession and orchestrating AI agents
15:56 - The evolution of industry legislation and regulation impacts
20:09 - Unblocking project bottlenecks with AI and regulatory changes
22:26 - CoreOS: digital project management and data management tools
28:56 - Use of drones and photogrammetry in construction surveying
30:44 - Successful case of automation in waste management and AI-powered voice agents
32:29 - Building a company culture that embraces change and innovation
35:12 - The future of AGI and ongoing AI developments
36:11 - The importance of naivety and resilience in technological progress
38:05 - Industry risks, regulation lag, and the wild west of AI development
41:36 - Recommended resources: Ryan Holiday’s "The Obstacle is the Way"
44:01 - Closing thoughts and how to connect with Phil Chell

Links and Stuff:
Website: https://www.herawaterproofing.co.uk/  OR
https://www.chironai.co.uk/
LinkedIn:  Follow Phil on Linked In

Episode sponsored by Movar:
https://movar.group/services/tech-and-data

Support the show

Subscribe to the Project Flux Newsletter!

All our podcasts commentate on the weeks hottest news brought to you by the Project Flux Newsletter! 

Get a step ahead on the world of AI and tech, subscribe and get the weekly newsletter to your inbox every Monday!

Sign Up to Newsletter

Project Flux is independently owned, funded, and operated by its founder. Any external references or features are for community benefit only and do not imply endorsement, control, or ownership.

Episode Description

In this in-depth interview, Greg Lawton from Nodes and Link discusses the evolution of AI in construction, recent partnerships with Oracle, and the future of autonomous systems and AI governance. Gain insights into ground truth models, auditable AI, and the transformative potential of AI-driven orchestration in industry.

He explains:

◼️Ground truth models for AI
◼️Auditable AI and trust in automation
◼️Partnerships with Oracle for industry innovation
◼️The evolution of AI in construction and project management

Chapters

00:00 Welcome Back and Introduction to Nodes and Link
01:39 Evolution of Nodes and Link: From Scheduling Tool to AI Expert
04:45 Partnership with Oracle: Shaping the Future of Construction
07:24 Shared Values and Principles in Business
08:40 The Importance of Auditability in AI
11:15 The Role of AI in Project Management
13:40 Industry Fallacies and Lessons Learned
17:20 The Challenge of Non-Software Companies
18:41 Emerging Dynamics in Software Development
22:16 New Features: Autopilot and Ground Truth Models
27:41 The Legal Accountability of AI
29:58 The Future of AI Autonomy
32:12 The Rise of Humanoid Robotics
33:50 Implicit Knowledge and AI
36:35 The Future of Project Management Technology
41:53 Transformations in Professions and Mindsets
49:56 Unleash the Code Intro.wav

Resources & Links:

LinkedIn:  https://www.linkedin.com/in/greg-lawton-3545497b?utm_source=share_via&utm_content=profile&utm_medium=member_ios

Website: https://nodeslinks.com/

Support the show

Subscribe to the Project Flux Newsletter!

All our podcasts commentate on the weeks hottest news brought to you by the Project Flux Newsletter! 

Get a step ahead on the world of AI and tech, subscribe and get the weekly newsletter to your inbox every Monday!

Sign Up to Newsletter

Project Flux is independently owned, funded, and operated by its founder. Any external references or features are for community benefit only and do not imply endorsement, control, or ownership.

Procure Pro Secures $15 Million: A New Era in Construction Innovation

Discover how Procure Pro is transforming procurement processes in construction through AI, data integration, and strategic growth, revolutionizing an industry traditionally slow to change.

In this episode:

• Alastair Blenkin shares the recent $15 million funding milestone and what it signals for the industry
• The evolution of AI in construction tech and the shift from pilots to strategic implementation
• How Procure Pro's platform reduces manual work with real-time data and AI-powered decision making
• The future of procurement: automating models similar to insurance comparison sites
• The importance of deterministic systems and trustworthy AI for critical project data
• Managing complex feature interdependencies through dedicated product squads
• The role of governance and permissions in enterprise AI deployment
• The strategic approach to hiring engineers in an AI-driven industry
• Insights on scaling operations and valuing control and visibility in project management

Timestamps:

00:00 - Introduction to Alistair Blenkin and Procure Pro's funding success

00:42 - Recent funding announcement and industry implications

01:31 - Key drivers of Procure Pro’s growth: AI, process, and global expansion

03:07 - AI evolution in construction tech: from pilots to structured strategies

04:43 - How AI is transforming procurement decision making

05:16 - The shift from manual spreadsheets to AI-automated workflows

06:09 - Comparing AI tools like Claude and ChatGPT for construction use cases

07:00 - Benefits and challenges of narrow AI solutions in procurement

07:18 - Data collection at procurement stage and its future potential

08:01 - Defining procurement in construction and its digital transformation

09:23 - Decision-making risks and the importance of structured data

10:13 - Future of procurement: from automation to reinventing the model

11:23 - The vision for real-time, programmatic supply chain pricing

12:19 - Automating quotes comparisons while maintaining human oversight

13:00 - The long-term view on AI and data readiness for construction

14:24 - Opportunities in orchestration and risk detection with AI agents

15:37 - Developing AI copilot features for project management

16:42 - The human element in AI-led procurement and negotiation

17:35 - Costs of AI agents and maintaining human connections

18:58 - The importance of responsibility and "bookending" in AI workflows

19:10 - Building trust through deterministic systems and industry standards

20:34 - Funding details: differences in currency reporting and validation

21:08 - Lessons from early funding pitches and adapting messaging for investors

22:27 - Rapid change in tech and construction projects driven by AI

23:52 - Big vision: data networks and industry-wide AI ecosystems

24:35 - Growth and revenue milestones emphasizing efficiency

25:21 - Building deterministic systems into Procure Pro’s architecture

27:01 - The evolving role of engineers with AI automation

28:25 - Redefining job descriptions and AI’s role in engineering teams

29:51 - Managing interdependent workflows with dedicated product squads

32:00 - Technical infrastructure: APIs, integrations, and middleware

33:19 - Governance, permissions, and enterprise-grade security measures

35:31 - Data search and retrieval: leveraging natural language and permission controls

36:07 - The future of AI storytelling: confidence in a new wave of technology

37:39 - Connecting AI modules: from quote leveling to procurement workflows

38:10 - API development and integration capabilities

39:09 - Final advice for contractors: control, visibility, and early risk detection

44:32 - Key takeaways: visibility and control as industry imperatives

45:34 - Final thoughts and encouragement for industry innovators

Resources & Links:

• Procure Pro Official Website
• Alastair Blenkin on LinkedIn
• Episode 42 of Project Flux with Alastair
• Claude.ai
• ChatGPT

Support the show

Subscribe to the Project Flux Newsletter!

All our podcasts commentate on the weeks hottest news brought to you by the Project Flux Newsletter! 

Get a step ahead on the world of AI and tech, subscribe and get the weekly newsletter to your inbox every Monday!

Sign Up to Newsletter

Project Flux is independently owned, funded, and operated by its founder. Any external references or features are for community benefit only and do not imply endorsement, control, or ownership.

Dive into the transformative power of AI with Nikki Barua, CEO of Flipwork, as she shares her journey, insights on industry disruption, and the future of work in an AI-driven world. This episode explores how organizations can adapt and thrive amid rapid technological change.

KEY TOPICS

• Nikki’s career journey from EY to AI entrepreneurship and her unique interdisciplinary approach
• The divide between technology’s speed and humans’ ability to adapt, and how Flipwork aims to bridge that gap
• Industry-specific challenges and opportunities with AI disruption, from regulated sectors to SaaS
• Reimagining work: from effort-based productivity to creativity, fulfillment, and organizational culture
• The concept of reallocation of AI-generated capacity towards innovation and human-centric work
• The importance of skills like orchestration of AI agents, resource planning, and leadership in hybrid human-AI teams
• The role of emotional intelligence, setting context, and reframing leadership in an AI-enabled workspace
• Capabilities and pitfalls of AI energy use, compute resource allocation, and technological convergence
• Practical tools like FlipFactor for AI readiness assessment at enterprise and small business levels
• Impact of AI on identity, imposter syndrome, and expanding human agency and purpose
• The craft of genuine original content and craftsmanship as a differentiator in the proliferation of AI-generated outputs
• The evolving struggle: removing mundane labor, emphasizing higher-value creative pursuits, and avoiding superficial challenges
• Recommendations for insightful newsletters and podcasts, with highlights like David Senra’s deep dives and Lex Friedman’s rigor

Future visions: abundance, societal purpose, and the importance of human passion and curiosity in an AI-empowered world


TIMESTAMPS
00:00 - Welcome and episode overview with Nikki Barua
00:16 - Nikki’s background and journey into AI and transformation
00:54 - The intersection of strategy, tech, and human adaptation
01:37 - The rapid pace of tech change versus human resilience
02:07—Why Flipwork exists to bridge the AI-human divide
03:32 - Rewiring mindsets for AI adaptation and leadership
04:17 - Connecting the dots across diverse career experiences
04:41 - Industry disruption: challenges and opportunities
05:11 - Navigating regulations in sectors like banking and healthcare
06:15 - The evolving definition of human work and skills
06:50 - Expanding human creativity and fulfilling work in AI age
07:36 - Measuring success beyond productivity: retention and fulfillment
08:04 - Reallocation of AI-driven capacity to innovation
09:04 - Raising the bar: excellence and mastery in the AI era
09:31 - Fulfillment through operating in the zone of genius
10:16 - The evolution of creativity and idea proliferation
10:32 - Energy and compute capacity challenges in AI scaling
11:07 - How resources flow toward high-value industries
11:38 - Capital and energy infrastructure for AI expansion
12:36 - The convergence of AI tools and specialization paths
13:03 - The rise of AI agents and resourcefulness
13:31 - The importance of imagination and bravery in execution
14:16 - Orchestrating multiple AI agents and resource planning
15:08 - The impact on leadership, hybrid teams, and management practices
16:16 - The shift from command-and-control to context setting
17:14 - Emotional intelligence
Links and Resources:
Nikki Barua's Website:
https://www.nikkibarua.com

LinkedIn - Nikki Barua:
https://www.linkedin.com/in/nikkibarua/

David Senra — Founders Podcast:
https://www.founderspodcast.com

Lex Fridman Podcast:
https://lexfridman.com/podcast

FlipWork (Company):
https://www.flipwork.ai

Support the show

Subscribe to the Project Flux Newsletter!

All our podcasts commentate on the weeks hottest news brought to you by the Project Flux Newsletter! 

Get a step ahead on the world of AI and tech, subscribe and get the weekly newsletter to your inbox every Monday!

Sign Up to Newsletter

Project Flux is independently owned, funded, and operated by its founder. Any external references or features are for community benefit only and do not imply endorsement, control, or ownership.

Summary

Max Sebci discusses decentralized AI, collective intelligence, and their application in sports analytics, especially football. The conversation covers the potential of crowd-sourced AI models, computer vision, and the future of AI in democratizing sports data and grassroots opportunities.

Key Topics

• Decentralized AI and collective intelligence
• Application of computer vision in sports
• AI democratization and grassroots opportunities

Chapters

00:00 Introduction to Collective Intelligence and Decentralized AI
03:25 The Power of the Crowd in Problem Solving
08:07 Challenges of Centralized vs. Decentralized AI
09:54 Building Efficient AI Models
12:35 Understanding Computer Vision
14:11 Score: Revolutionizing Sports Intelligence
18:43 Partnership with Reading FC and Use Cases
21:19 Integrating Data and Human Insight in Football
24:04 Leveraging Open Source for Football Clubs
25:30 The Quest for Performance Metrics in Football
26:47 Simulating Football Matches: The Digital Twin Concept
27:27 Understanding Human Behavior in Team Dynamics
28:10 Data-Driven Insights in Project Delivery
30:28 Inversion and Mental Models in AI
32:16 The Role of Computer Vision in AI Development
33:58 Transparency and Trust in AI Models
35:33 Cultural Perceptions of AI and Data Security
36:56 Multimodality and Memory in AI Systems
39:29 The Future of Work in an AI-Driven World
42:32 Democratizing Football Intelligence
44:56 Unleash the Code 1 Second.mp3
44:59 james .mp4
45:37 Exploring Key Themes in Project Flux
45:59 Unleash the Code Intro.wav

Support the show

Subscribe to the Project Flux Newsletter!

All our podcasts commentate on the weeks hottest news brought to you by the Project Flux Newsletter! 

Get a step ahead on the world of AI and tech, subscribe and get the weekly newsletter to your inbox every Monday!

Sign Up to Newsletter

Project Flux is independently owned, funded, and operated by its founder. Any external references or features are for community benefit only and do not imply endorsement, control, or ownership.

Summary

In this episode, Ben Lee, head of AI at Bidwells, shares his journey from real estate to AI leadership, exploring how AI is transforming industries, the importance of domain expertise, and the future of AI and AGI. Discover practical insights on adopting AI, managing organizational change, and the ethical considerations surrounding AI development.

Key Topics

Ben Lee's background and journey into AI
The impact of AI on real estate and industry
Building AI literacy and organizational adoption
Ethical considerations and governance in AI
Future trends and the path to AGI

Chapters

00:00 Introduction to AI and Data Roles
02:20 Ben Lee's Background and Journey in Real Estate
06:09 The Impact of AI on Communication and Productivity
10:01 Building Trust and Momentum in AI Adoption
13:52 Bridging the Gap Between Technology and Real Estate
17:20 AI's Role in Restructuring Job Functions
21:20 Collaborative Approaches to AI Integration
23:55 Navigating the AI Acceptance Journey
26:43 The Balance of AI and Human Experience
27:48 Addressing Job Displacement Concerns
29:51 The Future of AI Tools in the Workplace
34:32 The Consumer's Role in AI Evolution
37:39 Defining AGI and Its Implications
41:02 Personal Experiences with AI Integration
47:25 Unleash the Code 1 Second.mp3
47:28 james .mp4
48:05 Introduction to Project Flux
48:05 Exploring Key Themes in Project Flux
48:16 Introduction to Project Flux and AI Gap
49:17 Exploring Project Flux Pro and Its Benefits
49:20 Unleash the Code Intro.wav

Support the show

Subscribe to the Project Flux Newsletter!

All our podcasts commentate on the weeks hottest news brought to you by the Project Flux Newsletter! 

Get a step ahead on the world of AI and tech, subscribe and get the weekly newsletter to your inbox every Monday!

Sign Up to Newsletter

Project Flux is independently owned, funded, and operated by its founder. Any external references or features are for community benefit only and do not imply endorsement, control, or ownership.

This is a free highlights reel from Project Flux Pro — our subscriber-only podcast for serious AEC, Project Delivery + AI watchers. The full, unfiltered episode is exclusive to Pro members.

👉 Subscribe at www.projectflux.ai to unlock the complete episode plus monthly deep dives, the back catalogue, and much more.

What you'll hear in this highlight reel

A fast-moving cut of the biggest moments from Episode 2, covering:

• The autonomy threshold — AI agents are finally doing real work without hand-holding. We unpack what Anthropic, Perplexity and Claude are pulling off right now, and where it still falls over.
• The model wars are here — Mythos vs GPT-6, the noise around Spud, and why the frontier might not be where the action is.
• Construction's consolidation moment — the acquisitions and mergers quietly redrawing the lines between tech and the built environment.
• Safety, alignment and breach risk — the conversations the industry isn't having loudly enough, and why "human in the loop" is more than a slogan.
• Practical, today-useful AI — scheduling, file management, longitudinal data — the unsexy wins compounding fastest.
• Policy & sovereignty — the UK's sovereign AI fund and what international collaboration actually looks like.

Plus heads-up on PCG Fight Night (16 May, online) and the Autodesk Conference in Amsterdam.

Want the full episode?

This is around 10% of what we covered. The complete conversation — including the deeper takes on model safety, the human-in-the-loop framework, the epoch model of AI leadership, and our full industry analysis — is exclusive to Project Flux Pro subscribers.

🎧 Subscribe at www.projectflux.ai

Pro gets you:

• Full-length monthly Pro episodes (this is just a taster)
• The complete back catalogue
• Exclusive Blog Posts & Deep Research
• Early Access to All New Content
• Monthly AI Tool Reviews & Guides
• Monthly Live AMA and Expert Sessions
• Private Pro Community (Whats App

Events mentioned

• PCG Fight Night — 16 May, online live event
• Autodesk Conference — Amsterdam, next week

Stay connected

Got feedback, guest ideas, or topics you want us to dig into? Reply to any Project Flux email or drop us a line via projectflux.ai. We read everything.

Support the show

Subscribe to the Project Flux Newsletter!

All our podcasts commentate on the weeks hottest news brought to you by the Project Flux Newsletter! 

Get a step ahead on the world of AI and tech, subscribe and get the weekly newsletter to your inbox every Monday!

Sign Up to Newsletter

Project Flux is independently owned, funded, and operated by its founder. Any external references or features are for community benefit only and do not imply endorsement, control, or ownership.

Summary

In this insightful interview, Alistair Godbold, a seasoned project management expert, shares his perspectives on the impact of AI on project delivery, the importance of human skills, and how the profession can adapt to technological changes. Discover how curiosity, creativity, and ethical considerations will shape the future of project management in an AI-driven world.

Key Topics

Impact of AI on project management
The importance of human skills and creativity
Adapting to technological change in projects
Action Items

Focus on outcomes rather than processes
Develop AI literacy and critical thinking skills
Move up the value chain by enhancing human skills


Chapters

00:00 Introduction and Guest Introduction
02:00 Alistair's Background and Perspectives on Technology
03:18 Hope and Worries for Future Project Professionals
04:42 Lessons from Early Career and Curiosity
05:41 The Role of Learning and AI in Knowledge Acquisition
06:21 A Fundamental Mistake in Project Delivery
07:21 The Limitations of Process and Logic
08:39 Human Qualities in Change Management
09:45 AI's Support in Project Stages
11:15 The Human Element in AI-Driven Projects
11:47 Impact on Other Industries and Future Skills
12:36 Experience and Skills for Future Architects
13:46 Gamification and Experience Building
14:31 Human Skills in the Age of AI
15:36 Control, Complexity, and Adaptability
16:12 Balancing Control and Flexibility
17:23 Control and Bias in Project Management
18:48 Probing and Eliciting Emergent Behavior in AI
19:55 The Inflection Point of AI Adoption
21:00 Risks of Fizzling Out or Fading Away
21:44 Historical Parallels: Steam, Internet, and AI
23:13 Market Pressure and AI Investment
24:34 Building Infrastructure for AI
25:35 Cultivating Critical Thinking in an AI World
26:27 The Importance of Memory and Questioning
27:32 Connecting and Reasoning with AI
28:15 Moving Up the Value Chain as a Project Professional
29:53 The Future Skills of Project Managers
31:10 Resistance and Change Management
32:20 Balancing Certainty and Uncertainty
32:44 The Next Generation's Adaptability
33:27 The Speed of Technological Change
34:25 Societal and Workplace AI Integration
35:25 The Role of AI in Society and Work
35:58 Job Displacement and AI Washing
37:12 The Future of Success in Society and Projects
38:08 Inspirations and Recommended Reads
40:17 The Power of Philosophy and Critical Thinking
40:58 Final Advice and Closing Remarks
42:23 Unleash the Code 1 Second.mp3
42:26 james .mp4
43:04 Exploring Key Themes in Project Flux
43:26 Unleash the Code Intro.wav

Support the show

Subscribe to the Project Flux Newsletter!

All our podcasts commentate on the weeks hottest news brought to you by the Project Flux Newsletter! 

Get a step ahead on the world of AI and tech, subscribe and get the weekly newsletter to your inbox every Monday!

Sign Up to Newsletter

Project Flux is independently owned, funded, and operated by its founder. Any external references or features are for community benefit only and do not imply endorsement, control, or ownership.

In this episode, we delve into how AI impacts construction and project management, exploring whether it's a tool or a threat, and how culture influences its adoption. Experts discuss technology's effect on jobs, efficiency, and human involvement.

Main Topics:

• Culture's role in AI adoption
• AI as a tool vs. a job threat
• Structural vs. cultural challenges in AI implementation

Key Insights:

• Organizational culture significantly affects AI integration
• AI can automate tasks but requires trust and oversight
• Historical parallels show initial skepticism of new tech
• Investing in people and collaboration is crucial

Timestamps: 

 00:00 - Opening remarks
 03:20 - Debate: Culture enabling AI adoption
 19:54 - Debate: AI as a tool, not a job replacer
 38:28 - Debate: AI's effect on project delivery quality
 54:46 - Reflections on technology's complexities
 66:12 - Final reflections on culture and change

Resources & Links:

• Project Flux Podcast
• Project Chatter Podcast
• Gen AI Podcast

Connect with the Speakers:

• Ronald Dyer - LinkedIn
• Andrew Knight - LinkedIn
• Lisa Silander - LinkedIn
• Marco Frisenda - LinkedIn
• Sarah Crawley  - LinkedIn
• Kashan Ratyal - LinkedIn

Note: The debates reflect diverse perspectives and encourage ongoing inquiry into technology's role in shaping industry futures.

Support the show

Subscribe to the Project Flux Newsletter!

All our podcasts commentate on the weeks hottest news brought to you by the Project Flux Newsletter! 

Get a step ahead on the world of AI and tech, subscribe and get the weekly newsletter to your inbox every Monday!

Sign Up to Newsletter

Project Flux is independently owned, funded, and operated by its founder. Any external references or features are for community benefit only and do not imply endorsement, control, or ownership.

Summary

In this episode, Matthew Carr, CEO at Luffy AI discusses the cutting-edge of AI control technology, neuroplasticity, and their applications in industry, robotics, and sustainability. He shares insights into real-time AI, energy efficiency, and the future of AI models, emphasizing practical impacts and innovations.

Key Topics

• Real-time AI control and latency importance
• Neuroplasticity and adaptive learning in AI
• Energy efficiency and sustainability through AI
• Applications of AI in robotics and industry
• Future trends in AI models and societal impact

Chapters

00:00 Introduction to Matt Carr and Luffy AI
01:06 Matt's Journey in Renewable Energy and Fusion Technology
03:57 The Gap in AI: Real-Time Control Technologies
07:01 Understanding Real-Time Control and Latency in AI
09:50 Neuroplasticity and Self-Adaptive AI Controllers
13:50 The Future of AI in Project Delivery and Industry
17:33 The Role of AI in Reducing Project Failures and Costs
22:29 Innovations in Robotics and Drones
24:00 Granular Control in AI Systems
26:00 The Future of AI Models
30:40 AI and Sustainability
37:57 Balancing Short-term and Long-term Innovations
44:50 Unleash the Code Intro.wav

Connect with our guest

• Luffy AI Website
• https://www.linkedin.com/in/matthewncarr/

Support the show

Subscribe to the Project Flux Newsletter!

All our podcasts commentate on the weeks hottest news brought to you by the Project Flux Newsletter! 

Get a step ahead on the world of AI and tech, subscribe and get the weekly newsletter to your inbox every Monday!

Sign Up to Newsletter

Project Flux is independently owned, funded, and operated by its founder. Any external references or features are for community benefit only and do not imply endorsement, control, or ownership.

Summary

In this episode, Pip Morpeth, CEO of Method Grid, discusses how AI is transforming project delivery, closing productivity gaps, and the future of responsible AI adoption in construction, energy, and infrastructure industries.

Key Topics

AI-driven project management
Closing productivity gaps with AI
Building smarter ways of working
Responsible AI and trust in technology

Chapters

00:00 Introduction to Method Grid and AI Integration
03:18 Navigating the SaaS Landscape and Innovation Challenges
06:59 Quality Assurance and AI: Overlooked Opportunities
09:38 The Impact of AI on Productivity and Quality
12:20 AI Washing: Understanding Real vs. Faux AI
15:29 Trust and Competition in AI Development
17:53 Misunderstandings About AI and Its Complexity
21:14 Future Perspectives on AI Development
49:32 Unleash the Code 1 Second.mp3
49:35 james .mp4
50:12 Exploring Key Themes in Project Flux
50:21 Introduction to Project Flux
50:21 Exploring the Core Principles of Project Management
50:35 Unleash the Code Intro.wav

Support the show

Subscribe to the Project Flux Newsletter!

All our podcasts commentate on the weeks hottest news brought to you by the Project Flux Newsletter! 

Get a step ahead on the world of AI and tech, subscribe and get the weekly newsletter to your inbox every Monday!

Sign Up to Newsletter

Project Flux is independently owned, funded, and operated by its founder. Any external references or features are for community benefit only and do not imply endorsement, control, or ownership.

Summary

Alice Graham, a Solutions Specialist at Procore, shares her journey from quantity surveying to tech, exploring the impact of AI and digital transformation in construction. This episode delves into the challenges, opportunities, and future of AI regulation, data ownership, and industry innovation.

Key Topics

AI and digital transformation in construction
Data ownership and industry regulation
Adoption of technology in quantity surveying

Chapters

00:00 Introduction to Alice Graham and Her Journey
02:54 The Transformation of Cost Management in Construction
05:51 The Role of Technology in Quantity Surveying
08:39 Data Ownership and Psychological Safety in Cost Management
11:27 Challenges in Technology Adoption for Quantity Surveyors
14:14 The Impact of AI and Regulation in the Industry
24:10 Exploring the Dual Nature of AI in Creativity
25:48 AI as a Tool: Perspectives and Implications
28:37 The Future of AI: Beyond Just a Tool
30:19 AI's Historical Context and Its Evolution
31:57 Personalization and Privacy in AI
34:28 Blurring Lines: Personal and Work AI Dynamics
36:40 The Impact of AI on SaaS and Business Models
42:04 The Future of Construction: AI's Role in Project Delivery
43:25 Cultural Perspectives: Speed vs. Quality in Tech
46:09 Unleash the Code 1 Second.mp3
46:12 james .mp4
46:50 Exploring Key Themes in Project Flux
46:59 Introduction to Project Flux
46:59 Exploring the Core Principles of Project Management
47:12 Unleash the Code Intro.wav

Connect with our guest

https://www.linkedin.com/in/aliceagraham?utm_source=share_via&utm_content=profile&utm_medium=member_ios

Support the show

Subscribe to the Project Flux Newsletter!

All our podcasts commentate on the weeks hottest news brought to you by the Project Flux Newsletter! 

Get a step ahead on the world of AI and tech, subscribe and get the weekly newsletter to your inbox every Monday!

Sign Up to Newsletter

Project Flux is independently owned, funded, and operated by its founder. Any external references or features are for community benefit only and do not imply endorsement, control, or ownership.

Summary

In this episode, AI expert Ben Tasker discusses the rapid evolution of AI, workforce transformation, upskilling strategies, and the future impact of AI on various industries. Gain insights into managing AI adoption and preparing for the AI-driven future.

Key Topics

• AI rapid evolution and updates
• Workforce upskilling and reskilling
• AI adoption challenges and opportunities

Chapters

00:00 Introduction to AI Landscape and Overwhelm
02:53 The AI Between Times: Structural Changes in Work
05:42 Workforce Transformation: Upskilling and Reskilling
08:40 Understanding the Capability Gap in AI Adoption
11:09 Skills and Capability Assessments for AI
14:07 Creating a Learning Culture in Organizations
16:54 Balancing AI Adoption and Cultural Resistance
19:47 Navigating Radical Innovation in AI Usage
22:35 The Future of Work and AI Skills
27:59 AI's Impact on Job Roles and Industries
31:53 The SaaS Landscape and AI Integration
38:12 Navigating the AI-Driven Future
43:06 james .mp4
43:46 Engagement and Community Building
43:59 Introduction to Project Flux
43:59 Exploring the Core Principles of Project Management
44:17 Unleash the Code Intro.wav

Connect with our guest

https://www.bentaskerai.com/

Support the show

Subscribe to the Project Flux Newsletter!

All our podcasts commentate on the weeks hottest news brought to you by the Project Flux Newsletter! 

Get a step ahead on the world of AI and tech, subscribe and get the weekly newsletter to your inbox every Monday!

Sign Up to Newsletter

Project Flux is independently owned, funded, and operated by its founder. Any external references or features are for community benefit only and do not imply endorsement, control, or ownership.

Summary

In this insightful interview, Mohammad Shana'a, CEO of Morta, discusses how their platform is transforming construction project management through data integration, trust-building, and AI. Discover how Morta's bottom-up approach is creating industry-wide trust and efficiency, and explore the future role of AI in construction.

Key Topics

♦️ Trust is the constraint: Most construction failures trace back to fragmented, unreliable data — not capability gaps. Transparency is the fix. 

♦️ Admin work is the silent killer: Automating menial tasks isn't about efficiency for its own sake — it's about returning professionals to strategic thinking. 

♦️ Data integrity before AI: Deploying AI on bad data compounds errors. Getting foundations right is the unglamorous prerequisite no one wants to talk about. 

♦️ Bottom-up beats top-down: Lasting digital change in construction starts with the people who actually run workflows — not mandates from above.

Chapters

00:00 Introduction to Morta and Mo Shanna
03:17 User Experience and Project Management Solutions
06:17 AI's Role in Project Delivery
09:13 Trust Issues in the Construction Industry
11:49 The Impact of AI on Trust and Data Management
14:38 Navigating AI Use Cases in Construction
17:38 Balancing Automation and Human Oversight
24:46 The Importance of Information in AI
26:08 Managing Information Overload and Hallucinations
27:50 The Shift from Excel to Structured Data
29:31 Navigating Point Solutions vs. No-Code Platforms
31:34 The Challenge of Collaboration in Construction
34:07 Weaning Off Excel: A Gradual Process
36:58 Bottom-Up vs. Top-Down Approaches in Adoption
43:45 AI Tools for Organizational Knowledge
45:48 The Need for Automated Tracking and Reporting

Support the show

Subscribe to the Project Flux Newsletter!

All our podcasts commentate on the weeks hottest news brought to you by the Project Flux Newsletter! 

Get a step ahead on the world of AI and tech, subscribe and get the weekly newsletter to your inbox every Monday!

Sign Up to Newsletter

Project Flux is independently owned, funded, and operated by its founder. Any external references or features are for community benefit only and do not imply endorsement, control, or ownership.

Summary

In this episode, Kat Wendelstadt, leading marketing at Electric Twin, discusses the innovative use of AI in creating synthetic audiences for market research. She shares insights into the mechanics, ethical considerations, and future potential of AI-driven human behavior modeling, highlighting how these tools can revolutionize decision-making across industries.

Key Topics

AI-driven synthetic audiences
Data science and social science integration
Ethical considerations in AI modeling



Chapters

00:00 Introduction to Electric Twin and AI
02:44 The Mechanics of Synthetic Audiences
05:23 Origin Story of Electric Twin
08:09 Ethics and Safety in AI
10:51 Applications in Niche Markets
13:34 Surprising Insights from Synthetic Audiences
16:19 Validation of AI Insights
19:16 Complementary Role of AI in Research
21:58 Future of Electric Twin and Accessibility
22:25 Expanding Horizons: Global Reach and Future Plans
23:45 Navigating Market Strategies: The Art of Timing
26:54 Adapting to AI: The Future of Consumer Search
30:53 Data Privacy and Consumer Trust: The New Normal
33:32 Personal Growth: Tools and Recommendations for Success
37:34 Design and Creativity: The Human Touch in Tech
41:33 Unleash the Code 1 Second.mp3
41:36 james .mp4
42:13 Exploring Key Themes in Project Flux
42:22 Introduction to Project Flux
42:22 Exploring the Core Principles of Project Management
42:36 Unleash the Code Intro.wav

Support the show

Subscribe to the Project Flux Newsletter!

All our podcasts commentate on the weeks hottest news brought to you by the Project Flux Newsletter! 

Get a step ahead on the world of AI and tech, subscribe and get the weekly newsletter to your inbox every Monday!

Sign Up to Newsletter

Project Flux is independently owned, funded, and operated by its founder. Any external references or features are for community benefit only and do not imply endorsement, control, or ownership.

Summary

Unlocking the Power of AI: Strategies from an Industry Educator In this episode, we sit down with Paul Carney, founder of Ishtot and an AI educator, to explore practical approaches to mastering AI and transforming from a casual dabbling into a confident doer. Discover insights on effective prompting, structuring projects, overcoming adoption barriers, and understanding AI's true capabilities.

Key Topics:

• The importance of structured prompts and templates for consistent AI results
• How to shift from dabbling to doing with AI through profiles and data sheets
• The role of emotional intelligence (EQ) and adaptability in human-AI interaction
• Underutilized features like project management in ChatGPT for personal and business use
• How to identify and mitigate AI biases and bad assumptions
• The future of AI technology: hype vs. real potential, including browser-based models
• Practical tips for staying current in the rapidly evolving AI landscape
• Personal stories on innovating with AI in education and industry
• The significance of documenting and sharing AI processes within organizations
• Emerging trends: AI in higher education, ethical considerations, and energy sustainability

Timestamps:

• 00:00 - Introducing Paul Carney and the mission of demystifying AI
• 02:05 - Why structured prompts are key to effective AI use
• 08:50 - Staying ahead in the fast-moving AI space
• 13:02 - Common pitfalls in AI project management and templates
• 15:18 - Spotting and correcting AI's bad assumptions
• 17:39 - The impact of emotional intelligence on human-AI interactions
• 20:05 - Avoiding bias and ensuring AI fairness
• 24:29 - Hype versus reality: AI browser tools and models
• 35:28 - The future of AI in education and how universities can adapt
• 44:07 - Personal passions: Wine Tasting Fridays and building community

Resources & Links:

• Ishtot – AI education and consulting
• NotebookLM – Google’s advanced note-taking AI tool
• ChatGPT Custom Instructions – How to set structured prompts
• AI Clatch – Online community for AI learning
• Claude by Anthropic, Google Bard—Emerging AI models
• Sonic Boom – Next-gen supersonic aircraft powered by natural gas engines
• LinkedIn: Paul Carney

Connect with Paul Carney:

• LinkedIn
• AI Clatch Community
• Follow his wine tasting Fridays for engaging insights and community fun!

Additional Notes:

• Focus on building AI proficiency through templates, structured prompts, and projects
• Recognize the importance of emotional intelligence and adaptability when working with AI
• Be aware of hype surrounding new tools, and focus on proven, impactful features
• Challenge assumptions and leverage AI to enhance learning and decision-making processes
• Continuous experimentation and documenting best practices are crucial to progress

Thanks for listening! Don’t forget to follow

Support the show

Subscribe to the Project Flux Newsletter!

All our podcasts commentate on the weeks hottest news brought to you by the Project Flux Newsletter! 

Get a step ahead on the world of AI and tech, subscribe and get the weekly newsletter to your inbox every Monday!

Sign Up to Newsletter

Project Flux is independently owned, funded, and operated by its founder. Any external references or features are for community benefit only and do not imply endorsement, control, or ownership.

Summary

In this inspiring interview, Cydnie Thompson shares her journey from South London to Germany, overcoming personal hurdles and embracing AI to empower women entrepreneurs worldwide. The conversation explores AI's potential for equality, systemic barriers, and the ethical considerations of technological power.

Key Topics

• Cydnie Thompson's personal journey and mindset shift
• The confidence gap and imposter syndrome among women in tech
• The role of AI in empowering underrepresented women entrepreneurs
• Systemic barriers and the potential of AI to address inequality
• Ethical considerations and the future impact of AI on society

Chapters

00:00 Introduction to Sid Thompson and Her Journey
06:09 Empowering Women Entrepreneurs with AI
11:52 The Confidence Gap in Tech and AI
17:35 Building Community and Support for Women in AI
23:13 AI as a Tool for Equality and Sustainability
28:40 The Future of AI and Its Global Impact
29:29 India's AI Curriculum and Global Energy Needs
31:28 World Leaders and AI Agendas
32:58 The Influence of Tech Companies
34:45 Empowerment in the Age of AI
37:23 Generational Perspectives on AI
38:46 Recommended Reads and AI Tools
47:36 james .mp4
48:17 Exploring Key Themes in Project Flux
48:26 Introduction to Project Flux
48:26 Exploring the Core Principles of Project Management
48:39 Unleash the Code Intro.wav

Links and Stuff

Here is our sponsor Morta's website link: morta.io

Support the show

Subscribe to the Project Flux Newsletter!

All our podcasts commentate on the weeks hottest news brought to you by the Project Flux Newsletter! 

Get a step ahead on the world of AI and tech, subscribe and get the weekly newsletter to your inbox every Monday!

Sign Up to Newsletter

Project Flux is independently owned, funded, and operated by its founder. Any external references or features are for community benefit only and do not imply endorsement, control, or ownership.

Summary

This episode explores the transformative impact of AI on the Quantity Surveying profession, emphasizing responsible use, data-driven decision making, and future skills. Experts Kudirat Ayinla and Abdullahi Saka share insights on AI adoption, ethical considerations, and how QS professionals can stay ahead in a rapidly evolving landscape.

Key Topics

• AI's impact on QS profession
• Responsible use and ethics of AI
• Data literacy and structured data importance
• Evolving role of QS as digital advisors
• Strategies for AI adoption in construction
  
  

Chapters

00:00 Introduction to AI for QS Report
02:16 The Role of AI in the Construction Industry
05:48 Sustainability and AI: A Balancing Act
11:47 Challenges in AI Adoption within QS Profession
18:30 AI Readiness and Competency Framework
23:01 The Evolving Role of Quantity Surveyors
28:31 AI in Construction: Building Trust and Oversight
30:39 Establishing AI Governance in Organizations
33:11 The Necessity of AI in Quantity Surveying
37:07 Balancing AI Use and Foundational Skills in Education
44:56 The Future of Quantity Surveying: Embracing Change and Innovation
50:23 Unleash the Code 1 Second.mp3
50:26 james .mp4
51:04 Exploring Key Themes in Project Flux
51:15 Exploring the Core Principles of Project Management
51:29 Unleash the Code Intro.wav

Get the Report https://ai4qs.com/AI4QS-Report-2025.pdf
Find out more about AI4QS - https://ai4qs.com/resources

Support the show

Subscribe to the Project Flux Newsletter!

All our podcasts commentate on the weeks hottest news brought to you by the Project Flux Newsletter! 

Get a step ahead on the world of AI and tech, subscribe and get the weekly newsletter to your inbox every Monday!

Sign Up to Newsletter

Project Flux is independently owned, funded, and operated by its founder. Any external references or features are for community benefit only and do not imply endorsement, control, or ownership.

Summary

This interview explores the rapid evolution of AI in construction and architecture, focusing on how AI can transform design, optimize processes, and address industry challenges. Diego Padilla Phillips shares insights on multi-objective optimization, the linear nature of current workflows, and the future potential of AI to foster innovation and sustainability. In this insightful interview, industry experts discuss the future of architecture, AI, and construction. Topics include sustainable design, AI's role in project delivery, and the evolving skills of engineers and architects.

Key Topics

• AI-driven multi-objective optimization in design
• The linear and siloed nature of current construction workflows
• The potential of AI to foster innovation and creativity
• Challenges and opportunities in adopting AI in construction
• The future of sustainable and efficient building design AI's role in sustainable architecture
• The evolution of engineering skills in the AI era
• Future construction technologies and robotics

Chapters

00:00 Introduction to Decarbonization and Innovation
02:59 Innovation Beyond Gradual Improvements
05:55 Eureka Moments in Design and AI
08:41 Challenges of Working in Silos
11:39 The Limitations and Misconceptions of AI
14:39 Job Displacement: AI as a Tool for Professionals
18:32 The Future of Design: AI's Role in Building Usage
21:42 Balancing Iconic Design with Practicality
25:04 Sustainability and Longevity in Building Design
27:25 The Future of Engineering Education
28:57 Training the Next Generation of Engineers
31:11 The Impact of Technology on Design Processes
32:28 The Dual Nature of AI in Engineering
34:43 Looking Ahead: The Future of the Industry
34:45 Envisioning the Future of Architecture
36:37 Designing for Efficiency and Sustainability
39:35 The Role of Robotics in Construction
42:26 Creativity and Human-Centered Design
44:10 Adapting to Change in Engineering Education
46:12 Driving Change for a Sustainable Future
47:25 james .mp4
48:02 Unleash the Code 1 Second.mp3
48:05 Introduction to Project Flux
48:05 Exploring Key Themes in Project Flux
48:16 Introduction to Project Flux
48:16 Exploring the Core Principles of Project Management

Diego's Linked in https://www.linkedin.com/in/padilladiego/

Support the show

Subscribe to the Project Flux Newsletter!

All our podcasts commentate on the weeks hottest news brought to you by the Project Flux Newsletter! 

Get a step ahead on the world of AI and tech, subscribe and get the weekly newsletter to your inbox every Monday!

Sign Up to Newsletter

Project Flux is independently owned, funded, and operated by its founder. Any external references or features are for community benefit only and do not imply endorsement, control, or ownership.

Summary

In this episode, James and Yoshi explore the rapid advancements in AI, including model updates, agentic tools, and the societal implications of AI integration. They discuss the evolution of AI models, the rise of autonomous agents, and the potential future scenarios shaping our world.

Key Topics

• AI model evolution and benchmarks
• Agentic tools and skills in AI
• Societal and ethical implications of AI
• Future scenarios of AI development
• AI in prediction markets and geopolitics

Chapters

00:00 Back to Basics: The Evolution of Project Flux
04:35 Agentic AI: The New Frontier
08:15 Claude Skills: Automating Workflows
11:30 The Impact of AI on High-Value Work
16:17 Trusting AI: The Human vs. Machine Dilemma
20:28 Practical Applications of AI in Daily Life
23:54 The Future of Prediction Markets and AI
27:02 The Impact of AI on Society and Globalization
30:11 The AI Investment Race
31:59 The Dark Side of AI: Deepfakes and Manipulation
32:54 The Future of Acting and Creativity
33:50 AI's Impact on Education and Content Creation
34:46 The Uncertain Future of AI Safety
36:06 The Political Implications of AI Development
37:29 The Arms Race: AI and Global Power Dynamics
38:50 Humanoid Robots: The Next Frontier
40:47 The Integration of Robots in Daily Life
42:33 The Future of Construction and Robotics
44:30 The Social Dynamics of Humanoid Robots
45:25 Conclusion: The Exciting and Scary Future of AI
45:59 Unleash the Code 1 Second.mp3
46:02 james .mp4
46:39 Unleash the Code 1 Second.mp3
46:43 Exploring Key Themes in Project Flux
46:51 Introduction to Project Flux
46:51 Exploring the Core Principles of Project Management
47:04 Unleash the Code Intro.wav

Support the show

Subscribe to the Project Flux Newsletter!

All our podcasts commentate on the weeks hottest news brought to you by the Project Flux Newsletter! 

Get a step ahead on the world of AI and tech, subscribe and get the weekly newsletter to your inbox every Monday!

Sign Up to Newsletter

Project Flux is independently owned, funded, and operated by its founder. Any external references or features are for community benefit only and do not imply endorsement, control, or ownership.

Summary

In this insightful interview, Jana Stella, founder of New Wave Technologies, shares her journey from oceanography and deep learning to pioneering AI applications in environmental science and offshore infrastructure. Discover how AI is transforming wave modeling, offshore wind energy, and the future of sustainable technology.

Key Topics

• Deep learning analogy with mirrors and maze of mirrors
• AI's role in oceanography and wave modeling
• Impact of AI on offshore wind and infrastructure
• Challenges in hiring and scaling AI in environmental tech
• Future visions: quantum computing and AI in ocean science

Chapters

00:00 Introduction to Jana Stella and New Wave Technologies
02:53 Deep Learning Explained: The Mirror Analogy
05:45 AI's Role in Environmental Science and Sustainability
08:22 Wave Technology: Modeling and Forecasting
11:12 Bridging the Gap: AI and Offshore Infrastructure
14:09 Challenges in AI Implementation and Team Building
16:38 The Complexity of Oceanographic Data and AI Models
19:38 The Fragility of Subsea Cables and Their Importance
22:25 Concluding Thoughts on AI and Environmental Impact
24:37 Navigating Offshore Renewable Energy Challenges
26:20 The Importance of Boldness in Project Delivery
28:48 AI's Role in Transforming Industries
32:48 Universal Basic Income: A Vision for the Future
37:09 The Dual Nature of Technology: Good vs. Evil
39:23 Personal Insights and Future Aspirations
44:41 Unleash the Code 1 Second.mp3
44:44 james .mp4
45:22 Exploring Key Themes in Project Flux
45:30 Unleash the Code Intro.wav

Support the show

Subscribe to the Project Flux Newsletter!

All our podcasts commentate on the weeks hottest news brought to you by the Project Flux Newsletter! 

Get a step ahead on the world of AI and tech, subscribe and get the weekly newsletter to your inbox every Monday!

Sign Up to Newsletter

Project Flux is independently owned, funded, and operated by its founder. Any external references or features are for community benefit only and do not imply endorsement, control, or ownership.

Summary

In this episode of the Project Flux podcast, James and Yoshi engage with Mike Palladino, a transformational leader and agile expert, discussing the evolving landscape of AI in project management. They explore the common threads in how organizations react to AI, the differences between corporate and non-profit perspectives, and the importance of the human element in AI implementation. The conversation delves into the hype cycle surrounding AI, the evolution of jobs in the age of automation, and the limitations of AI in decision-making. They also touch on the significance of agile methodologies and the future of human interaction with AI, emphasizing the need for continuous learning and adaptation in a rapidly changing environment.

Takeaways

The nervousness about AI stems from the rapid rate of change.
Corporate and non-profit sectors have different paces and mindsets regarding AI.
AI can help automate mundane tasks but may not fully replace human roles.
The hype cycle of AI often leads to inflated expectations and subsequent disappointments.
Job roles will evolve, but new opportunities will arise alongside AI advancements.
AI's decision-making capabilities are limited by its training data and context understanding.
Agile methodologies are essential for adapting to the fast-paced changes brought by AI.
The human experience is crucial in project management and should not be overlooked in AI implementations.
Continuous learning and exploration of new ideas are vital for growth in the AI landscape.
Cohesiveness in culture is diminishing due to echo chambers created by technology. 


Chapters

00:00 Introduction to Mike Palladino
02:23 Navigating Change: The Impact of AI on Project Delivery
03:39 Corporate vs Non-Profit: Understanding Different Paces
05:08 The Role of AI in Non-Profit Organizations
06:48 The Hype Cycle of AI: Expectations vs Reality
09:35 The Human Element in AI and Project Delivery
12:06 The Future of Jobs: Adapting to Change
17:42 Rethinking Engineering Solutions: The People Question
23:48 Agile Mindset: Beyond the Buzzword
26:16 Navigating Agile in an AI-Driven World
28:53 The Limitations of AI in Decision Making
31:41 The Human Experience vs. AI Efficiency
34:29 Understanding AI's Decision-Making Process
38:26 The Importance of Learning and Exploration
42:13 Cultural Impacts of AI and Technology
47:29 Unleash the Code 1 Second.mp3
47:32 james .mp4
48:32 Unleash the Code Intro.wav

Support the show

Subscribe to the Project Flux Newsletter!

All our podcasts commentate on the weeks hottest news brought to you by the Project Flux Newsletter! 

Get a step ahead on the world of AI and tech, subscribe and get the weekly newsletter to your inbox every Monday!

Sign Up to Newsletter

Project Flux is independently owned, funded, and operated by its founder. Any external references or features are for community benefit only and do not imply endorsement, control, or ownership.

Summary

In this conversation, Rajeev Kapur discusses the evolution from prompt engineering to context engineering in AI, emphasizing the importance of providing detailed context for effective AI interactions. He shares insights from his career, the impact of AI on project management, and the common mistakes people make when prompting AI. Rajeev also addresses concerns about job security due to AI, the democratization of AI for entrepreneurship, and the future of robotics and energy. He concludes with real-life success stories and the potential for AI to create new opportunities while highlighting the need for gradual adaptation to these technologies.

Takeaways

• Context is crucial for effective AI prompting.
• The evolution from prompt engineering to context engineering is significant.
• Common mistakes in AI prompting include vagueness and lack of detail.
• AI can enhance productivity and create new job opportunities.
• Generational differences affect the adoption of AI technologies.
• AI democratizes entrepreneurship and learning for everyone.
• Hallucinations in AI outputs are a function of training data.
• The future of AI includes smart cars and robotics.
• Real-life success stories demonstrate the potential of AI.
• Gradual adaptation to AI technologies is essential for success.

Chapters

00:00 Introduction to Rajeev Kapoor and AI Journey
05:03 The Evolution of AI and ChatGPT
09:51 Understanding AI Hallucinations and Their Impact
14:27 Practical AI Implementation Strategies
18:40 The Future of AI: Context Engineering and Prompting
49:59 Unleash the Code Intro.wav

Support the show

Subscribe to the Project Flux Newsletter!

All our podcasts commentate on the weeks hottest news brought to you by the Project Flux Newsletter! 

Get a step ahead on the world of AI and tech, subscribe and get the weekly newsletter to your inbox every Monday!

Sign Up to Newsletter

Project Flux is independently owned, funded, and operated by its founder. Any external references or features are for community benefit only and do not imply endorsement, control, or ownership.

In collaboration with the Gen AI Podcast, this episode was filmed at nPlan's AI Day, where we explore groundbreaking advancements in project management technology, the impact of AI on markets, and the importance of scenario planning through multiverse thinking. Join us for insights from industry experts on how these innovations are shaping the future.

Key Topics

• How Schedule Studio enables fast, large-scale scenario analysis with up to 3,000 activities generated instantly
• The concept of multiverse thinking in project planning to manage uncertainties and ill unforeseen events
• The significance of AI plugins and integrations, including barriers and opportunities in project controls
• The risks and security considerations of proactive agents like Claude Bot and Maltbook
• Market reactions to AI developments, including plugins' influence on financial markets and long-term strategy implications
• Future possibilities of space-based data centers and AI in space exploration

Timestamps

00:00 - Introduction to Project AI Day and event excitement
 00:24 - Recap of AI Day preparations and expectations
 00:43 - Demonstration of schedule automation connecting to project control loops
 01:23 - The importance of speed in scenario analysis and project adjustments
 02:26 - Launch of Schedule Studio upgrades for large-scale schedules
 03:17 - Handling equipment and technical setup for live demos
 04:18 - Multiverse thinking: exploring scenarios with high breadth and rapid iteration
 04:44 - Uploading and managing millions of schedules with automation tools
 05:46 - Integration capabilities with external data sources like Procore and Barry
 06:19 - AI plugin market dynamics and strategic implications
 07:21 - Political and market reactions to AI advancements and plugin launches
 08:41 - Westworld's Rehoboam and the future of scenario-based decision making
 09:33 - AI balancing in project planning to mitigate risks and optimize outcomes
 10:31 - Practical inputs for real-time scenario updates during projects
 11:43 - Incorporating AI intuition and human experience in decision-making
 12:36 - The security risks of AI agents and proactive bots like Claude Bot
 14:21 - The evolution of Maltbook and agent interaction influences
 15:09 - The potential societal and privacy impacts of pervasive AI agents
 16:52 - The competitive edge of hyper-vertical AI tools over generalist models
 18:08 - Market implications of AI plugins and how they disrupt traditional industries
 19:35 - Long-term investment strategies amidst AI disruption and market volatility
 21:35 - The rise of specialized AI and the decline of broad, generalist models
 24:27 - Risks of personal data exposure and the importance of safe AI deployment
 27:00 - Society's adaptation to diminishing privacy and AI's role in personal autonomy
 33:29 - The concept of project superintelligence and its evolution beyond current tools
 36:11 - Mars colonization ambitions linked to AI and space tech mergers
 39:00 - Feasibility of space-based data centers and energy considerations
 40:17 - Closing remarks and upcoming involved projects

The blog of the event

Resources & Links

• Project Flux - Official Site
• Schedule Studio
• Westworld - Rehoboam
• C

Support the show

Subscribe to the Project Flux Newsletter!

All our podcasts commentate on the weeks hottest news brought to you by the Project Flux Newsletter! 

Get a step ahead on the world of AI and tech, subscribe and get the weekly newsletter to your inbox every Monday!

Sign Up to Newsletter

Project Flux is independently owned, funded, and operated by its founder. Any external references or features are for community benefit only and do not imply endorsement, control, or ownership.

In this episode of the Project Flux podcast, Maryrose Lyons discusses the transformative impact of AI on the built environment. 

The conversation explores the evolution of curiosity in AI adoption, practical applications of AI in daily work, and the importance of empowering humans rather than replacing them. Maryrose emphasises the need for a shift in mindset towards experimentation and innovation, as well as the potential of spatial AI and robotics to redefine the future of work. 

The episode concludes with insights on the emerging landscape of AI agents and their implications for various industries.

Takeaways

• Curiosity is essential for success in the AI era.
• AI should empower humans, not replace them.
• The built environment is rapidly adopting AI technologies.
• Experimentation is key to navigating AI challenges.
• Training in AI should focus on practical applications.
• Spatial AI will fundamentally change the industry.
• Midsize companies are leading in AI adoption.
• AI can automate mundane tasks, freeing up time for creativity.
• The future of work will be more fluid and less prescriptive.
• Agents in AI need to be clearly defined and understood.

Chapters

00:00 Introduction to AI and Curiosity
02:13 The Evolution of AI Perception
05:23 Practical Applications of AI in Daily Life
08:16 The Role of Curiosity in AI Adoption
11:11 The Competitive Landscape of AI
14:04 Future of AI and Human Empowerment
17:53 Transforming Work Through AI Training
20:40 Rethinking Old Processes for New Solutions
22:27 Managing Change and Embracing Experimentation
24:29 Agile Learning and Tailored Training Solutions
26:51 Fostering Creativity and Curiosity in Teams
28:58 The Future of Work: Fluid Processes and AI
32:03 Decoupling Process from AI Solutions
33:51 Understanding AI Agents vs. Virtual Assistants
36:56 The Future of AI Agents
39:30 The Evolution of AI and Its Impact
41:36 Key Skills for Leaders in Construction
43:10 The Rise of Spatial AI

• Maryrose’s Linked In 
• AI Institute Linked In page 
• AI Institute Website 

Support the show

Subscribe to the Project Flux Newsletter!

All our podcasts commentate on the weeks hottest news brought to you by the Project Flux Newsletter! 

Get a step ahead on the world of AI and tech, subscribe and get the weekly newsletter to your inbox every Monday!

Sign Up to Newsletter

Project Flux is independently owned, funded, and operated by its founder. Any external references or features are for community benefit only and do not imply endorsement, control, or ownership.

In a special collaboration, we join Own the Build podcast for their 250th episode alongside the RICS. This conversation arrives at a pivotal moment: the RICS has just published its first-ever global professional standard for the responsible use of AI in surveying, coming into effect in March 2026.

Unpacking what this means for Quantity Surveyors (QS'), valuers, project professionals, software vendors and construction leaders, is:

• James Garner — Head of AI & Data at Gleeds, Chair of the Project Data Analytics Task Force, and host of Project Flux.
• Chris de Gruben — Senior Director & Head of AI at Artefact; co-chair of the RICS AI Working Group.
• Matthew Lavy — Barrister at 4 Pump Court specialising in technology disputes and AI liability.

Across this wide-ranging, practical and occasionally provocative discussion, the panel explore:

• Why the RICS created this standard now: Member demand, regulatory pressure, industry lag, and a cultural shift from “AI as a threat” to “AI as a professional tool”.
• The core pillars of responsible AI use: Risk registers, explainability, transparency to clients, PI considerations, shadow AI, enterprise-grade tools, and why “professional judgement” remains non-negotiable.
• What AI will — and won’t — replace: From AVMs and automated cost analysis to complex valuation, negotiation, context, and human judgement.
• The difference between enabling and restricting innovation: Why the RICS guidance is intentionally light-touch and principle-based, and how it avoids the rigidity of the EU AI Act.
• What this means for QSs, valuers, employers, universities and software vendors: Future training, AI literacy, cultural change, documentation, and how practitioners can protect themselves while accelerating adoption.
• The future of surveying and construction in an AI-native world: Agentic workflows, robotics, quantum computing, and the real-world impact on productivity, risk, client expectations and professional identity.
  
  

This is a landmark conversation at a turning point for the profession. If you want clarity on how AI will shape surveying, cost management and construction over the next five years — and what you should do in 2026 — this is essential listening.

Support the show

Subscribe to the Project Flux Newsletter!

All our podcasts commentate on the weeks hottest news brought to you by the Project Flux Newsletter! 

Get a step ahead on the world of AI and tech, subscribe and get the weekly newsletter to your inbox every Monday!

Sign Up to Newsletter

Project Flux is independently owned, funded, and operated by its founder. Any external references or features are for community benefit only and do not imply endorsement, control, or ownership.

Summary

In this episode of the Project Flux podcast, host James engages with Mark Enzer and Gavin Spencer to discuss the intersection of project management and artificial intelligence. They explore the importance of systems thinking, the need for a federated approach to data management, and the role of AI in shaping the future of project delivery. The conversation emphasizes the necessity of starting with clear outcomes, the significance of data quality, and the collaboration between humans and AI. They also touch on future trends in project management and the importance of ethical considerations in technology use

Takeaways

• Start with the end in mind to guide project outcomes.
• Projects are interconnected systems that require a holistic view.
• AI can enhance our understanding of complex systems.
• A federated approach to data management is more effective.
• Data quality is crucial for successful AI implementation.
• We must start somewhere with our data management efforts.
• AI should serve human needs, not dominate them.
• Metamodernism offers a hopeful perspective for the future.
• Shaping the future of project management requires collective effort.
• Ethical considerations in technology use are paramount.

Chapters

04:53 The Windsor Project Summit Insights
09:39 Systems Thinking in Project Management
14:34 AI's Role in Infrastructure and Project Delivery
19:09 Shaping the Future of Project Management
23:56 The Human-Tech Relationship in Project Management
26:51 Tech Serving Humanity: Ethical Considerations
29:23 Data Quality: The Foundation of AI Success
36:16 Interoperability in Project Delivery: Challenges and Solutions
40:06 Human Skills in an AI World: The Importance of Clarity
43:48 Emerging Trends: Metamodernism and the Future of Purpose

Links and Stuff

Mark Enzer's Linked In

Gavin Spencer's Linked In

Get the Report Here - https://www.apm.org.uk/resources/thought-leadership/the-windsor-summit-series/

Link to Built Environment Connective - https://be-connective.com/v

Support the show

Subscribe to the Project Flux Newsletter!

All our podcasts commentate on the weeks hottest news brought to you by the Project Flux Newsletter! 

Get a step ahead on the world of AI and tech, subscribe and get the weekly newsletter to your inbox every Monday!

Sign Up to Newsletter

Project Flux is independently owned, funded, and operated by its founder. Any external references or features are for community benefit only and do not imply endorsement, control, or ownership.

Summary

In this conversation, Project Flux representatives discuss the evolving landscape of AI in project management, highlighting key trends and challenges from 2025 and predictions for 2026. They explore the illusion of intelligence in AI, the responsibility of project professionals in governance, the impact of hallucinations on implementation, and the shift from pilot projects to full-scale adoption. The discussion also touches on the quality of AI-generated content, the role of data centers, and the emergence of vibe coding and robotics, ultimately questioning whether the future of project management will be evolutionary or revolutionary.

Takeaways

• AI has created an illusion of intelligence that doesn't hold in real-world applications.
• Project professionals must take responsibility for AI governance and implementation.
• The shift from pilot projects to full implementation of AI is crucial for success.
• AI psychosis refers to the uncritical belief in AI outputs, which can be harmful.
• Hallucinations in AI outputs pose significant challenges for industries relying on accurate data.
• The quality of AI-generated content varies greatly, leading to concerns about 'AI slop'.
• The project management profession is at a crossroads between evolution and revolution due to AI.
• Strategic work in project management will become clearer as AI tools evolve.
• Data centers are crucial for the future of AI, but sustainability must be considered.
• Vibe coding is an emerging trend that allows for more intuitive AI interactions.

• Chapters

00:00 Introduction to Project Flux and AI Trends
02:42 The Illusion of Intelligence in AI
05:41 The Responsibility of Project Professionals in AI Governance
08:31 Emerging Technologies: Agentic AI and AI Psychosis
11:20 Challenges in AI Implementation: Hallucinations and Data Quality
14:03 The Shift from Pilots to Full Implementation
16:56 AI Slop and the Quality of AI-Generated Content
19:44 The Future of Project Management: Evolution vs. Revolution
22:29 Strategic Work and Context Engineering in AI
25:17 The Role of Data Centers and Sustainability in AI
28:26 Vibe Coding and the Rise of Robotics
31:19 The Future of AI in Project Management

Support the show

Subscribe to the Project Flux Newsletter!

All our podcasts commentate on the weeks hottest news brought to you by the Project Flux Newsletter! 

Get a step ahead on the world of AI and tech, subscribe and get the weekly newsletter to your inbox every Monday!

Sign Up to Newsletter

Project Flux is independently owned, funded, and operated by its founder. Any external references or features are for community benefit only and do not imply endorsement, control, or ownership.

Summary

In this episode of the Project Flux podcast, Peter Taylor discusses the transformative role of AI in project management. He introduces the concept of the 'Invisible Project Manager,' emphasizing how AI can automate repetitive tasks, allowing project managers to focus on critical thinking and strategic oversight. Taylor highlights the importance of human interaction in project management, even as automation increases. He advocates for education and training in AI to prepare project managers for the future, stressing that accountability and critical thinking will be essential in navigating the challenges posed by AI. The conversation explores the evolving roles within project management and the balance between technology and human insight.

Takeaways

• Peter Taylor emphasizes the importance of AI in transforming project management.
• The concept of 'productive laziness' is central to Taylor's philosophy.
• AI can automate repetitive tasks, allowing project managers to focus on critical thinking.
• The role of the project manager is evolving to include more strategic oversight.
• Human interaction remains crucial in project management despite increasing automation.
• Education and training in AI are essential for project managers to adapt.
• The future of project management will require a balance between AI and human insight.
• Taylor believes that accountability in project management will shift with AI integration.
• The invisible project manager concept suggests a more automated approach to project oversight.
• Critical thinking will be vital in navigating the challenges posed by AI.

Chapters

00:00 Introduction to Peter Taylor and His Work
02:57 The Evolution of Project Management and AI
05:47 The Role of AI in Project Management
08:33 The Concept of the Invisible Project Manager
11:27 Human Elements in Project Management
14:15 The Future of Project Management Roles
16:56 Education and Upskilling in AI for Project Managers
22:33 The Importance of AI Education
23:41 Accountability in Project Management
25:38 Bias in AI and Its Implications
28:42 Critical Thinking and Resilience in the Workforce
30:02 The Role of Data in AI
33:00 Resistance to AI Adoption
33:45 Shadow Systems and Personal AI
37:53 Leadership Styles in AI-Driven Organizations
39:16 Transformative Moments in Project Management
41:06 Recommended Reads for Project Managers
43:22 Unleash the Code 1 Second.mp3
43:25 james .mp4
44:02 Unleash the Code 1 Second.mp3
44:04 ending.mp4
44:38 Unleash the Code Intro.wav

Links AND Stuff

https://www.waterstones.com/book/the-invisible-project-manager/peter-taylor//9781041139515

Support the show

Subscribe to the Project Flux Newsletter!

All our podcasts commentate on the weeks hottest news brought to you by the Project Flux Newsletter! 

Get a step ahead on the world of AI and tech, subscribe and get the weekly newsletter to your inbox every Monday!

Sign Up to Newsletter

Project Flux is independently owned, funded, and operated by its founder. Any external references or features are for community benefit only and do not imply endorsement, control, or ownership.

Summary

In this episode of the Project Flux podcast, James, Yoshi and John discuss the key trends and realisations from 2025 in the realm of AI, including the cultural shifts in adoption, the importance of context in implementation, and the challenges of accountability and ROI. They also make predictions for 2026, exploring the evolving dynamics between consultancy and tech companies, the regulatory landscape, and the future of robotics and AGI.

Takeaways

• 2025 was marked by a trough of disillusionment in AI.
• 95% of AI pilots or projects are failing due to cultural issues.
• AI implementation requires a cultural change, not just a tech rollout.
• Context is crucial for effective AI use in businesses.
• The lines between consultancy and tech companies are blurring.
• AI is seen as a coworker that accelerates human impact.
• Emerging risks in AI need proactive governance.
• The ROI of AI projects is often misreported due to hidden time savings.
• Skills in critical thinking and communication will be vital in 2026.
• Robotics and AGI advancements are expected to accelerate in the coming years.

Chapters

00:00 Introduction and Overview of 2025
03:05 The Trough of Disillusionment in AI
05:57 Cultural Shifts and AI Implementation Challenges
08:43 The Importance of Context in AI Usage
11:36 AI Tools and Their Evolving Landscape
14:30 Transparency and Accountability in AI
17:07 The ROI Dilemma in AI Adoption
20:08 Predictions for 2026: The Future of AI
23:56 The Evolution of AI Acquisition Strategies
27:25 The Rise of AI-Driven Startups
28:50 Transforming Revenue Models in Professional Services
30:16 The Future of Change Management in Tech
30:28 Navigating AI Regulation and Governance
33:07 Emerging Risks in AI and Human Behavior
35:55 The Path to Artificial General Intelligence (AGI)
40:13 The Future of Robotics and Humanoid Interaction
43:44 Unleash the Code 1 Second.mp3

Links and stuff

Support the show

Subscribe to the Project Flux Newsletter!

All our podcasts commentate on the weeks hottest news brought to you by the Project Flux Newsletter! 

Get a step ahead on the world of AI and tech, subscribe and get the weekly newsletter to your inbox every Monday!

Sign Up to Newsletter

Project Flux is independently owned, funded, and operated by its founder. Any external references or features are for community benefit only and do not imply endorsement, control, or ownership.

Summary

In this episode of the Project Flux podcast, James and Yoshi explore the intersection of AI and the music industry with professional musicians Anna Mylee and Tim Fraser. They discuss the impact of AI on music creation, the ethical implications of AI-generated music, and the future of songwriting in an increasingly automated world. The conversation delves into personal experiences with AI, the importance of authenticity in music, and the potential for a divide between AI-generated and human-created music.
Takeaways

• AI is reshaping the entire music industry.
• The music industry has been struggling for years.
• AI can create music that lacks the human touch.
• Authenticity in music is becoming harder to prove.
• Consumers may prefer AI music for its cost-effectiveness.
• The future of music may see a divide between AI and human creativity.
• Artists need to create music for themselves, not just for profit.
• AI can assist in songwriting but cannot replace human emotion.
• AI raise ethical questions in music.
• The music industry must adapt to technological changes.

Chapters

00:00 Introduction to AI in Music
02:39 Anna's Perspective on AI's Impact
04:55 Tim's Optimism and Historical Context
07:20 The Music Industry's Response to AI
09:52 AI as a Tool for Songwriters
12:13 The Ethics of Sampling and AI
15:06 AI's Limitations in Creativity
17:40 The Role of Backstory in Music
19:58 Conclusion: The Future of Music and AI
23:25 The Role of AI in Music Creation
28:58 Authenticity in the Age of AI
38:18 Hope and the Future of Music
42:04 Collaborating with Legends


Tim Fraser
Tim’s Linked in https://www.linkedin.com/in/tim-fraser-9aa5b44/
https://www.tim-fraser.co.uk

Tina Turner doing Tim’s Song Falling https://open.spotify.com/track/4G7ruzIprYHy1EnvHwnLGs?si=f17e9f5c454c4262
Lulu doing another fab Tim song Could I Be More Blue https://open.spotify.com/track/0Dj7Nuk4jMhAoUWIFwOUB9?si=9d8187475c7d49ed

Anna Mylee
Anna’s website https://www.annamylee.com/
Anna’s Insta https://www.instagram.com/anna_mylee
Anna’s AI videos from Beyond Grooves & Treble Podcast https://youtu.be/PVKO6jdAnJg?si=AoCOt5lZYOYxajud and https://youtu.be/0eveLHlRGww?si=Km5FUWAoMHIe1q--

Support the show

Subscribe to the Project Flux Newsletter!

All our podcasts commentate on the weeks hottest news brought to you by the Project Flux Newsletter! 

Get a step ahead on the world of AI and tech, subscribe and get the weekly newsletter to your inbox every Monday!

Sign Up to Newsletter

Project Flux is independently owned, funded, and operated by its founder. Any external references or features are for community benefit only and do not imply endorsement, control, or ownership.

Summary

In this episode of the Project Flux podcast, hosts discuss the importance of measuring uncertainty in project management with authors Douglas Hubbard and Andreas Leed. They explore the challenges faced in different industries, the role of AI in improving project outcomes, and the need for a quantitative approach to decision-making. The conversation emphasises the human element in project management, the necessity of adapting to emerging technologies, and the future implications of AI on jobs and project management practices.

Takeaways

• Measuring uncertainty can lead to better project decisions.
• AI can enhance project management through simulations and data analysis.
• Fewer projects with bigger returns are preferable.
• Risk matrices are ineffective and should be replaced with quantitative measures.
• Human involvement is crucial in AI-driven project management.
• Emerging technologies require adaptive project strategies.
• The economic value of measurement is tied to the effort put in.
• Understanding change is key to managing projects effectively.
• AI can help identify risks and improve decision-making processes.
• The future of project management will involve significant changes due to AI.

Chapters

1. 00:00 Introduction to Project Management Measurement
2. 02:45 The Importance of Measuring Uncertainty
3. 05:34 Industry-Specific Challenges in Project Management
4. 08:10 The Role of AI in Project Management
5. 10:37 Decision-Making and Risk Analysis
6. 13:29 Emerging Technologies and Their Impact
7. 15:59 The Future of Measurement in Project Management
8. 18:43 Understanding Statistical Significance
9. 21:32 Benchmarking and Its Implications
10. 24:06 Reference Class Forecasting and AI
11. 27:00 Emergent Behavior in Complex Systems
12. 29:31 Understanding Emergent Behavior in Projects
13. 32:16 The Measurement Inversion in Project Management
14. 34:51 AI Agents and the Future of Project Management
15. 38:29 Rethinking Human Roles in an AI-Driven World
16. 45:56 Preparing for the Future: AI Safety and Workforce Changes

Link and Stuff 

Douglas Hubbard https://www.linkedin.com/in/dwhubbard/

Andreas Leed https://www.linkedin.com/in/andreasleed/

Buy the Book https://amzn.eu/d/guii8kU

Support the show

Subscribe to the Project Flux Newsletter!

All our podcasts commentate on the weeks hottest news brought to you by the Project Flux Newsletter! 

Get a step ahead on the world of AI and tech, subscribe and get the weekly newsletter to your inbox every Monday!

Sign Up to Newsletter

Project Flux is independently owned, funded, and operated by its founder. Any external references or features are for community benefit only and do not imply endorsement, control, or ownership.

Summary

In this episode of the Project Flux podcast, Ikum Kandola, co-founder of TheAX.ai, shares his journey from PwC to launching a consultancy that leverages AI to transform traditional consulting models. The conversation explores the current state of the AI bubble, the challenges and opportunities in the consulting industry, and the importance of adapting to new technologies. Ikem discusses the concept of 'consultancy as a service' and how TheAX.ai aims to democratise access to consulting services, making them more efficient and effective. The episode also touches on the cultural resistance to AI in the UK and the potential for AI to revolutionise education and consulting practices.

Takeaways

• Ikum Kandola transitioned from PwC to co-found TheAX.ai
• The AI bubble is a topic of debate; some believe it's underhyped.
• PwC taught Ikem valuable lessons but also had aspects he wanted to unlearn.
• AI risks in consulting include public perception and data security.
• The productionization of consulting can lead to more efficient services.
• Client reactions to TheAX.ai have varied, with increasing acceptance over time.
• Cultural resistance to AI is prevalent in the UK consulting industry.
• AI in education could provide personalized learning experiences.
• The UK aims for AI sovereignty but faces challenges in implementation.
• Consultancy as a service could reshape the consulting landscape.

Chapters

00:00 Introduction to Ikum Kandola and AI Insights
02:54 The AI Bubble: Hype or Reality?
05:27 Lessons from PwC: Learning and Unlearning
08:07 Navigating Risks in AI Consulting
10:33 The Shift to Productization in Consulting
13:03 Customer Reactions to New Consulting Models
15:42 Cultural Attitudes Towards AI Adoption
18:35 The Future of AI in Education
21:11 Consultancy as a Service: A New Paradigm
21:46 Subscription Model in Consulting
23:50 Marketplace Dynamics for Consultants
25:23 AI's Role in Consulting Transformation
27:29 Real-World Applications of TheAX.ai
30:57 Levelling the Playing Field for Boutique Consultancies
32:30 Impact of AI on Large Consultancies
35:30 Investor Insights on AI in Consulting
37:34 Competing with Established Firms
39:45 Future Curriculum for Consultants

links and Stuff 

1. Try the AXcelerate productisation assessment: https://bit.ly/4qRSXKn
2. Company website: TheAX.ai
3. My LinkedIn: https://www.linkedin.com/in/ikum/

Support the show

Subscribe to the Project Flux Newsletter!

All our podcasts commentate on the weeks hottest news brought to you by the Project Flux Newsletter! 

Get a step ahead on the world of AI and tech, subscribe and get the weekly newsletter to your inbox every Monday!

Sign Up to Newsletter

Project Flux is independently owned, funded, and operated by its founder. Any external references or features are for community benefit only and do not imply endorsement, control, or ownership.

Summary

In this conversation, Johnny, co-founder and chief product officer of Fifth Dimension, discusses the challenges and opportunities of integrating AI into the real estate industry. He emphasizes the importance of understanding the hype surrounding in-house AI development, the need for skilled professionals, and the significance of training and change management in successful AI adoption. The discussion also covers the evolution of AI tools, the concept of data liberation, and the future of AI in enhancing decision-making processes within real estate.

Takeaways

• The hype around in-house AI can lead to unrealistic expectations.
• Real estate firms need skilled AI engineers to implement effective solutions.
• Training and change management are critical for successful AI adoption.
• AI should be seen as a tool to enhance human judgment, not replace it.
• Data liberation is essential for effective AI implementation.
• The pace of technological change presents both challenges and opportunities.
• Context engineering is a key aspect of future AI applications.
• Personification of AI can improve user experience and adoption.
• Organizations should focus on specific use cases for AI implementation.
• Collaboration between technology and real estate professionals is vital for success.

Chapters

00:00 Introduction to Johnny Morris and His Journey
05:45 The Evolution of AI in Real Estate
10:54 Understanding AI's Role and Human Judgment
16:19 Data Liberation and Its Importance
21:41 The Evolution of Fifth Dimension and Its Products
27:04 Personification of AI and Its Implications
28:48 The Hype Around In-House AI Development
28:56 The Hype of In-House AI
35:44 Designing an AI Strategy for Real Estate
38:39 Automating Daily Tasks and Productivity Tools
42:48 The Future of AI: Context Engineering
47:07 Unleash the Code 1 Second.mp3
47:10 james .mp4
47:47 Unleash the Code 1 Second.mp3
47:50 ending.mp4
48:24 Unleash the Code Intro.wav

Links and Stuff 

Johnny Morris

Support the show

Subscribe to the Project Flux Newsletter!

All our podcasts commentate on the weeks hottest news brought to you by the Project Flux Newsletter! 

Get a step ahead on the world of AI and tech, subscribe and get the weekly newsletter to your inbox every Monday!

Sign Up to Newsletter

Project Flux is independently owned, funded, and operated by its founder. Any external references or features are for community benefit only and do not imply endorsement, control, or ownership.

Summary

This conversation explores the multifaceted impact of AI across various sectors, particularly focusing on its implications for job stability, environmental concerns, and the construction industry. Experts discuss the rapid evolution of AI technologies, their practical applications in business, and the importance of adapting to these changes. The dialogue also addresses the environmental impact of AI and the role of government regulation in facilitating or hindering AI adoption.


Takeaways

• AI is a foundational technology that will transform business operations.
• Generative AI is distinct and will disrupt traditional workflows.
• AI can enhance productivity and democratize access to skills.
• The construction industry is slow to adopt AI but has significant potential.
• AI tools can improve project delivery and efficiency in construction.
• Experimentation with AI is essential for businesses to adapt.
• AI's environmental impact is complex but improving with advancements.
• Government regulation is lagging behind AI technology development.
• AI should be treated as a collaborative partner in business.
• The future of work will involve managing both humans and AI agents.

Chapters
00:00 The Impact of AI on Society
09:13 AI in Construction: Current and Future Applications
16:36 Embracing AI: Strategies for Implementation
21:51 The Human-AI Collaboration Paradigm
23:37 Embracing AI: Practical Steps for Implementation
27:09 Environmental Considerations in AI Development
29:33 Navigating the Future of Research and Space Utilization
34:40 Innovative AI Applications in Construction
36:40 Legal Implications and Trust in AI
40:03 Government's Role in AI Advancement
42:00 Jaw-Dropping AI Capabilities and Future Potential

Hosts

• Michelle Charman https://www.linkedin.com/in/michellecharman/
• Emma Keyse https://www.linkedin.com/in/emmakeyse/

Panellists

• Sean Betts https://www.linkedin.com/in/seanbetts/
• Paul Thorpe https://www.linkedin.com/in/paul-thorpe-88073249/
• James Garner https://www.linkedin.com/in/jamesgarner1976/

Support the show

Subscribe to the Project Flux Newsletter!

All our podcasts commentate on the weeks hottest news brought to you by the Project Flux Newsletter! 

Get a step ahead on the world of AI and tech, subscribe and get the weekly newsletter to your inbox every Monday!

Sign Up to Newsletter

Project Flux is independently owned, funded, and operated by its founder. Any external references or features are for community benefit only and do not imply endorsement, control, or ownership.

Summary

In this episode of the Project Flux podcast, Iain Curtis, CEO of Single Point Solutions, discusses the evolution of the construction industry, the importance of data strategy, and the role of AI in reducing risk and improving decision-making.

 He emphasises the need for a cultural shift within the industry to embrace technology and data analytics, while also addressing the challenges of bureaucracy and corporate inertia. The conversation highlights the potential of AI to enhance productivity and efficiency, but also the necessity of human oversight and a clear data strategy to ensure successful implementation.

Takeaways

• The construction industry has not changed significantly in 30 years.
• Data strategy should focus on business needs, not just technology.
• Smaller companies are often more agile in adopting new technologies.
• AI can enhance productivity but requires quality data.
• Corporate inertia is a major barrier to innovation in construction.
• Failing fast and learning from mistakes is crucial for progress.
• AI's effectiveness is directly tied to the quality of data.
• Bureaucracy can hinder the adoption of new technologies.
• A real data strategy is an ongoing, iterative process.
• The future of construction relies on better communication and data sharing.