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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 vola

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

AI Institute Website https://weareaiinstitute.com/

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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.

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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

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

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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

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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

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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

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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

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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.