Project Flux

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 Data Analytics Taskforce site

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 Data Analytics Taskforce site

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 Data Analytics Taskforce site

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 Data Analytics Taskforce site

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 Data Analytics Taskforce site