Project Flux

Send us a textSummaryIn 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 a textSummaryIn 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 a textSummaryIn 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 a textSummaryIn 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.

Send us a textSummaryIn 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.TakeawaysMeasuring 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.Chapters00:00 Introduction to Project Management Measurement02:45 The Importance of Measuring Uncertainty05:34 Industry-Specific Challenges in Project Management08:10 The Role of AI in Project Management10:37 Decision-Making and Risk Analysis13:29 Emerging Technologies and Their Impact15:59 The Future of Measurement in Project Management18:43 Understanding Statistical Significance21:32 Benchmarking and Its Implications24:06 Reference Class Forecasting and AI27:00 Emergent Behavior in Complex Systems29:31 Understanding Emergent Behavior in Projects32:16 The Measurement Inversion in Project Management34:51 AI Agents and the Future of Project Management38:29 Rethinking Human Roles in an AI-Driven World45:56 Preparing for the Future: AI Safety and Workforce ChangesLink 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/guii8kUSupport 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 a textSummaryIn 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.TakeawaysIkum Kandola transitioned from PwC to co-found TheAX.aiThe 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.Chapters00:00 Introduction to Ikum Kandola and AI Insights02:54 The AI Bubble: Hype or Reality?05:27 Lessons from PwC: Learning and Unlearning08:07 Navigating Risks in AI Consulting10:33 The Shift to Productization in Consulting13:03 Customer Reactions to New Consulting Models15:42 Cultural Attitudes Towards AI Adoption18:35 The Future of AI in Education21:11 Consultancy as a Service: A New Paradigm21:46 Subscription Model in Consulting23:50 Marketplace Dynamics for Consultants25:23 AI's Role in Consulting Transformation27:29 Real-World Applications of TheAX.ai30:57 Levelling the Playing Field for Boutique Consultancies32:30 Impact of AI on Large Consultancies35:30 Investor Insights on AI in Consulting37:34 Competing with Established Firms39:45 Future Curriculum for Consultantslinks and Stuff Try the AXcelerate productisation assessment: https://bit.ly/4qRSXKnCompany website: TheAX.aiMy LinkedIn: https://www.linkedin.com/in/ikum/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 a textSummaryIn 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.TakeawaysThe 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.Chapters00:00 Introduction to Johnny Morris and His Journey05:45 The Evolution of AI in Real Estate10:54 Understanding AI's Role and Human Judgment16:19 Data Liberation and Its Importance21:41 The Evolution of Fifth Dimension and Its Products27:04 Personification of AI and Its Implications28:48 The Hype Around In-House AI Development28:56 The Hype of In-House AI35:44 Designing an AI Strategy for Real Estate38:39 Automating Daily Tasks and Productivity Tools42:48 The Future of AI: Context Engineering47:07 Unleash the Code 1 Second.mp347:10 james .mp447:47 Unleash the Code 1 Second.mp347:50 ending.mp448:24 Unleash the Code Intro.wavLinks and Stuff Johnny MorrisSupport 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 a textSummaryThis 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.TakeawaysAI 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.Chapters00:00 The Impact of AI on Society09:13 AI in Construction: Current and Future Applications16:36 Embracing AI: Strategies for Implementation21:51 The Human-AI Collaboration Paradigm23:37 Embracing AI: Practical Steps for Implementation27:09 Environmental Considerations in AI Development29:33 Navigating the Future of Research and Space Utilization34:40 Innovative AI Applications in Construction36:40 Legal Implications and Trust in AI40:03 Government's Role in AI Advancement42:00 Jaw-Dropping AI Capabilities and Future PotentialHostsMichelle Charman https://www.linkedin.com/in/michellecharman/Emma Keyse https://www.linkedin.com/in/emmakeyse/PanellistsSean 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 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 a textSummaryIn 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.TakeawaysThe 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.Chapters00:00 Introduction to Single Point Solutions and Ian Curtis02:43 The Evolution of the Construction Industry05:30 Data Analytics in Construction08:05 Generational Differences in Tech Adoption11:07 The Importance of Data Strategy13:41 Challenges in Data Implementation16:45 The Role of Data in Decision Making23:31 Corporate Inertia and Cultural Challenges24:32 The Impact of AI on Job Roles26:58 Human in the Loop: The Future of Estimating28:14 Proactivity vs. Reactivity in the Industry29:33 Bureaucracy and AI: A Double-Edged Sword31:48 Bite-Sized Changes: Evolving Technology in Construction34:28 Learning from Failure: The Iterative Approach36:06 The Reality of AI: Hype vs. Practicality39:00 The Future of AI: Boom or Bust?Links and Stuff Iain Curtis 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 a textSummaryIn this episode of the Project Flux podcast, Dr. Raoul Gabriel-Urma, founder and CEO of Cambridge Spark, shares his insights on the rapid evolution of AI and its implications for education and enterprise. He discusses the overwhelming pace of AI development, the importance of upskilling, and the need for organizations to adapt to new technologies. Raoul emphasizes the balance between productivity and creativity, the significance of personalized learning experiences, and the ethical considerations surrounding AI. He also reflects on the future of learning and the necessity for critical thinking in an AI-driven world.TakeawaysThe pace of AI development is overwhelming for many.Education is crucial for navigating the AI landscape.Individuals must view themselves as their own customers.AI should create more value, not just free time.The ability to go deep into details is essential for CEOs.AI can enhance customer delight and efficiency.The speed of AI adoption is unprecedented in history.Verification and critical thinking are vital in AI usage.Personalized education can be tailored to individual needs.AI tools can foster creativity and innovation.Chapters00:00 Introduction to AI and Overwhelm02:54 The Importance of Education in AI05:34 Navigating AI Value in Enterprises08:35 Productivity vs. Creativity with AI11:04 The AI Skills Gap Debate13:50 Educate AI: A Solution for Learning16:31 Balancing Fundamentals and Adaptability in AI Training22:17 Understanding AI in Cost Estimation23:48 The Importance of Traceability in AI Outputs25:33 Vibe Coding: Bridging Creativity and Production27:35 Personalizing Education with AI29:16 The Challenges of Relying on AI31:05 Navigating Bias and Social Engineering in AI34:04 The Misconception of AI as a Time Saver34:51 The Role of CEOs in Detail and Strategy37:12 Defining Success in the AI Education LandscapeLinks and stuffDr.Raoul Gabriel UrmaSupport 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.