Project Flux

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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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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.

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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

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

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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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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.

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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 https://youtu.be/PVKO6jdAnJg?si=AoCOt5lZYOYxajud and https://youtu.be/0eveLHlRGww?si=Km5FUWAoMHIe1q--
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Subscribe to the Project Flux Newsletter!
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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.

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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

00:00 Introduction to Project Management Measurement
02:45 The Importance of Measuring Uncertainty
05:34 Industry-Specific Challenges in Project Management
08:10 The Role of AI in Project Management
10:37 Decision-Making and Risk Analysis
13:29 Emerging Technologies and Their Impact
15:59 The Future of Measurement in Project Management
18:43 Understanding Statistical Significance
21:32 Benchmarking and Its Implications
24:06 Reference Class Forecasting and AI
27:00 Emergent Behavior in Complex Systems
29:31 Understanding Emergent Behavior in Projects
32:16 The Measurement Inversion in Project Management
34:51 AI Agents and the Future of Project Management
38:29 Rethinking Human Roles in an AI-Driven World
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!
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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.