Project Flux

Send us Fan MailSummaryIn 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.TakeawaysThe 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. Chapters00:00 Introduction to Mike Palladino02:23 Navigating Change: The Impact of AI on Project Delivery03:39 Corporate vs Non-Profit: Understanding Different Paces05:08 The Role of AI in Non-Profit Organizations06:48 The Hype Cycle of AI: Expectations vs Reality09:35 The Human Element in AI and Project Delivery12:06 The Future of Jobs: Adapting to Change17:42 Rethinking Engineering Solutions: The People Question23:48 Agile Mindset: Beyond the Buzzword26:16 Navigating Agile in an AI-Driven World28:53 The Limitations of AI in Decision Making31:41 The Human Experience vs. AI Efficiency34:29 Understanding AI's Decision-Making Process38:26 The Importance of Learning and Exploration42:13 Cultural Impacts of AI and Technology47:29 Unleash the Code 1 Second.mp347:32 james .mp448:32 Unleash the Code Intro.wavSupport the showSubscribe 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.

Send us Fan MailSummaryIn 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.TakeawaysContext 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.Chapters00:00 Introduction to Rajeev Kapoor and AI Journey05:03 The Evolution of AI and ChatGPT09:51 Understanding AI Hallucinations and Their Impact14:27 Practical AI Implementation Strategies18:40 The Future of AI: Context Engineering and Prompting49:59 Unleash the Code Intro.wavSupport the showSubscribe 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.

Send us Fan MailIn 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 TopicsHow Schedule Studio enables fast, large-scale scenario analysis with up to 3,000 activities generated instantlyThe concept of multiverse thinking in project planning to manage uncertainties and ill unforeseen eventsThe significance of AI plugins and integrations, including barriers and opportunities in project controlsThe risks and security considerations of proactive agents like Claude Bot and MaltbookMarket reactions to AI developments, including plugins' influence on financial markets and long-term strategy implicationsFuture possibilities of space-based data centers and AI in space explorationTimestamps00:00 - 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 39:00Support the showSubscribe 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.

Send us Fan MailIn 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.TakeawaysCuriosity 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.Chapters00:00 Introduction to AI and Curiosity02:13 The Evolution of AI Perception05:23 Practical Applications of AI in Daily Life08:16 The Role of Curiosity in AI Adoption11:11 The Competitive Landscape of AI14:04 Future of AI and Human Empowerment17:53 Transforming Work Through AI Training20:40 Rethinking Old Processes for New Solutions22:27 Managing Change and Embracing Experimentation24:29 Agile Learning and Tailored Training Solutions26:51 Fostering Creativity and Curiosity in Teams28:58 The Future of Work: Fluid Processes and AI32:03 Decoupling Process from AI Solutions33:51 Understanding AI Agents vs. Virtual Assistants36:56 The Future of AI Agents39:30 The Evolution of AI and Its Impact41:36 Key Skills for Leaders in Construction43:10 The Rise of Spatial AIMaryrose’s Linked In AI Institute Linked In page AI Institute Website Support the showSubscribe 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.

Send us Fan MailIn 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 showSubscribe 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.

Send us Fan MailSummaryIn 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 useTakeawaysStart 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.Chapters04:53 The Windsor Project Summit Insights09:39 Systems Thinking in Project Management14:34 AI's Role in Infrastructure and Project Delivery19:09 Shaping the Future of Project Management23:56 The Human-Tech Relationship in Project Management26:51 Tech Serving Humanity: Ethical Considerations29:23 Data Quality: The Foundation of AI Success36:16 Interoperability in Project Delivery: Challenges and Solutions40:06 Human Skills in an AI World: The Importance of Clarity43:48 Emerging Trends: Metamodernism and the Future of PurposeLinks and StuffMark Enzer's Linked InGavin Spencer's Linked InGet the Report Here - https://www.apm.org.uk/resources/thought-leadership/the-windsor-summit-series/Link to Built Environment Connective - https://be-connective.com/vSupport the showSubscribe 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.

Send us Fan MailSummaryIn 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.TakeawaysAI 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.Chapters00:00 Introduction to Project Flux and AI Trends02:42 The Illusion of Intelligence in AI05:41 The Responsibility of Project Professionals in AI Governance08:31 Emerging Technologies: Agentic AI and AI Psychosis11:20 Challenges in AI Implementation: Hallucinations and Data Quality14:03 The Shift from Pilots to Full Implementation16:56 AI Slop and the Quality of AI-Generated Content19:44 The Future of Project Management: Evolution vs. Revolution22:29 Strategic Work and Context Engineering in AI25:17 The Role of Data Centers and Sustainability in AI28:26 Vibe Coding and the Rise of Robotics31:19 The Future of AI in Project ManagementSupport the showSubscribe 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.

Send us Fan MailSummaryIn 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.TakeawaysPeter 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.Chapters00:00 Introduction to Peter Taylor and His Work02:57 The Evolution of Project Management and AI05:47 The Role of AI in Project Management08:33 The Concept of the Invisible Project Manager11:27 Human Elements in Project Management14:15 The Future of Project Management Roles16:56 Education and Upskilling in AI for Project Managers22:33 The Importance of AI Education23:41 Accountability in Project Management25:38 Bias in AI and Its Implications28:42 Critical Thinking and Resilience in the Workforce30:02 The Role of Data in AI33:00 Resistance to AI Adoption33:45 Shadow Systems and Personal AI37:53 Leadership Styles in AI-Driven Organizations39:16 Transformative Moments in Project Management41:06 Recommended Reads for Project Managers43:22 Unleash the Code 1 Second.mp343:25 james .mp444:02 Unleash the Code 1 Second.mp344:04 ending.mp444:38 Unleash the Code Intro.wavLinks AND Stuffhttps://www.waterstones.com/book/the-invisible-project-manager/peter-taylor//9781041139515Support the showSubscribe 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.

Send us Fan MailSummaryIn 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.Takeaways2025 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.Chapters00:00 Introduction and Overview of 202503:05 The Trough of Disillusionment in AI05:57 Cultural Shifts and AI Implementation Challenges08:43 The Importance of Context in AI Usage11:36 AI Tools and Their Evolving Landscape14:30 Transparency and Accountability in AI17:07 The ROI Dilemma in AI Adoption20:08 Predictions for 2026: The Future of AI23:56 The Evolution of AI Acquisition Strategies27:25 The Rise of AI-Driven Startups28:50 Transforming Revenue Models in Professional Services30:16 The Future of Change Management in Tech30:28 Navigating AI Regulation and Governance33:07 Emerging Risks in AI and Human Behavior35:55 The Path to Artificial General Intelligence (AGI)40:13 The Future of Robotics and Humanoid Interaction43:44 Unleash the Code 1 Second.mp3Links and stuffSupport the showSubscribe 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.

Send us Fan MailSummaryIn 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. TakeawaysAI 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.Chapters00:00 Introduction to AI in Music02:39 Anna's Perspective on AI's Impact04:55 Tim's Optimism and Historical Context07:20 The Music Industry's Response to AI09:52 AI as a Tool for Songwriters12:13 The Ethics of Sampling and AI15:06 AI's Limitations in Creativity17:40 The Role of Backstory in Music19:58 Conclusion: The Future of Music and AI23:25 The Role of AI in Music Creation28:58 Authenticity in the Age of AI38:18 Hope and the Future of Music42:04 Collaborating with LegendsTim FraserTim’s Linked in https://www.linkedin.com/in/tim-fraser-9aa5b44/https://www.tim-fraser.co.ukTina Turner doing Tim’s Song Falling https://open.spotify.com/track/4G7ruzIprYHy1EnvHwnLGs?si=f17e9f5c454c4262Lulu doing another fab Tim song Could I Be More Blue https://open.spotify.com/track/0Dj7Nuk4jMhAoUWIFwOUB9?si=9d8187475c7d49edAnna MyleeAnna’s website https://www.annamylee.com/Anna’s Insta https://www.instagram.com/anna_myleeAnna’s AI videos from Beyond Grooves & Treble Podcast https://youtu.be/PVKO6jdAnJg?si=AoCOt5lZYOYxajud and https://youtu.be/0eveLHlRGww?si=Km5FUWAoMHIe1q--Support the showSubscribe 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.