Project Flux

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164

Latest episode

Aug 2026

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EN-GB

About the show

Project Flux is a pioneering podcast that explores the transformative impact of Artificial Intelligence across various industries, including construction, music, infrastructure, and life sciences, with a focus on revolutionising the project delivery profession. Each episode brings to light how AI is redefining efficiency, innovation, and strategic decision-making in project management. Through engaging conversations with industry leaders, technologists, and forward-thinkers, the podcast offers a comprehensive look at the challenges and opportunities AI introduces, the nuances of its integration, and its potential to reshape project delivery on a global scale. Project Flux is the go-to resource for professionals seeking to navigate the evolving landscape of AI in project delivery, offering insights, strategies, and inspiration to harness the power of AI for a more innovative and effective future. Project Flux is independently owned, funded, and operated. Any external references or features are for community benefit only and do not imply endorsement, control, or ownership.

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August 21, 2026Episode 12646 min

The Firms Banning Juniors From AI to Protect Their Judgment | Isabela Parisio

Send us Fan Mail Summary In this episode, Isabela Parisio , an AI policy and governance expert, discusses the complexities of AI regulation, the race between law and technology, and the future of AI in legal and other sectors. She shares insights from her experience at King's College and her research on responsible AI. Key Topics AI policy and governance complexities The pace of regulation versus technological development Global and regional AI regulations The impact of AI on legal practice and law firms Market power and geopolitical considerations in AI regulation The role of regulators and dialogue in AI governance AI hallucinations and legal liability Future predictions for AI regulation in five years Chapters 00:00 Introduction to AI policy and governance 02:01 Isabella's background and journey into AI regulation 03:48 The increasing importance of AI regulation and political debates 06:07 The scattered landscape of global AI regulations 06:57 Law versus technology: the race and pace problem 08:56 The impact of market power and geopolitical interests 10:54 The role of regulation in innovation and risk management 13:03 Case study: AI in the legal sector and liability issues 15:57 The importance of dialogue and regulatory engagement 17:57 Future predictions for AI regulation and potential crises Links and Stuff Isabella’s Linked In - https://www.linkedin.com/in/isabela-parisio-?utm_source=share_via&utm_content=profile&utm_medium=member_ios Richard Susskind — The Future of the Professions The Future of the Professions: How Technology Will Transform the Work of Human Experts (Richard Susskind & Daniel Susskind, updated edn 2022) — https://global.oup.com/academic/product/the-future-of-the-professions-9780198841890 AI policy and governance research at King's College London King's Institute for Artificial Intelligence — https://www.kcl.ac.uk/ai TELOS — Centre for Technology, Ethics, Law and Society (Dickson Poon School of Law) — https://www.kcl.ac.uk/research/centre-for-technology-ethics-law-and-society-telos — the one to cite for AI regulation and governance specifically Responsible AI UK at King's — https://www.kcl.ac.uk/research/rai-uk UKRI Centre for Doctoral Training in Safe and Trusted AI (KCL / Imperial) — https://safeandtrustedai.org/ Everyday AI: Your daily guide to grown with Generative AI Can't keep up with AI? We've got you. Everyday AI helps you keep up and get ahead. Listen on: Apple Podcasts Spotify Support the show Subscribe 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.

August 14, 2026Episode 12546 min

The Job AI Came For First

Send us Fan Mail Summary In this episode, Emile Kfouri from Autodesk shares insights on AI's evolving role in construction and design, the future of outcome-based modeling, and how humans and AI can collaborate effectively. Key Topics AI's role in construction and design Outcome-based modeling and its implications The evolution of developer work with AI Heuristics and their role in AI development Multi-agent systems and scaffolding in AI Responsible AI and ethical considerations Future skills for developers and users The impact of AI on human roles and collaboration Chapters 00:00 Introduction and episode overview 01:13 Guest introduction: Emil Kofori from Autodesk 02:09 Emil's background and team overview at Autodesk 04:03 Challenges in AI adoption and responsible use 05:22 Changes in developer advocacy and AI's influence 07:33 Shift towards outcome-based design in construction 09:41 Scrutinizing AI models and understanding their thought process 12:25 Multi-agent architectures and scaffolding in AI 17:45 Heuristics, AI, and open-ended problem solving 23:06 Indicators for when not to use AI 28:50 The future skills of developers and humans in AI era 39:31 Books that influenced Emil's thinking 41:34 Predictions for AI in AEC in five years 43:06 Closing remarks and where to find Emil Links and Stuff Emile Kfouris's Linkedin : https://www.linkedin.com/in/emile-kfouri/ Everyday AI: Your daily guide to grown with Generative AI Can't keep up with AI? We've got you. Everyday AI helps you keep up and get ahead. Listen on: Apple Podcasts Spotify Support the show Subscribe 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.

August 7, 2026Episode 12447 min

The Biggest AI Opportunity in Construction Right Now / With João Dias & Dr Shirin Dora

Send us Fan Mail Summary In this week's episode, we are joined by João Dias, Co-Founder and CEO of Constructer.ai, and Dr Shirin Dora, Senior Lecturer in Neuromorphic Computing at Loughborough University, to discuss what trustworthy AI really requires in construction. Key Topics AI's impact on construction project management Data quality and unstructured data in construction Use of live data versus historical data in AI models The importance of domain expertise in AI solutions Challenges of AI adoption in construction industry The concept of faithful but wrong in AI outputs Future prospects of AI and AGI in construction Chapters 00:00 Introduction to the episode and guests 01:09 Joao Dias discusses his background and motivation for founding Constructor 02:34 The personal pain points in project delivery that AI aims to solve 03:11 Shirin Dora shares her transition from academic machine learning to industry impact 04:11 The collaboration between domain expertise and AI technology 06:02 Differentiating Constructor from other construction tech platforms 09:52 Constructor's approach: detect, quantify, and act with live data 11:01 Why focus on live data instead of historical data 12:21 Choosing appropriate AI techniques for construction problems 16:15 Understanding hallucination versus faithful but wrong in AI outputs 21:32 Liability and trust in AI-generated insights in construction 24:13 Current AI adoption levels in the construction industry 34:24 Preparing for the future: building AI capabilities for construction professionals 41:54 The long-term outlook for AI and the possibility of AGI in construction Connect with the Guests: Joao Dias - LinkedIn Shirin Dora - Linkedin Constructer.ai Everyday AI: Your daily guide to grown with Generative AI Can't keep up with AI? We've got you. Everyday AI helps you keep up and get ahead. Listen on: Apple Podcasts Spotify Support the show Subscribe 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.

July 31, 2026Episode 12345 min

How AI Is Changing Education, Work & Human Behavior

Send us Fan Mail Summary Helen Routledge, CEO of T otem Learning , shares insights on the intersection of AI, serious games, and human behavior. Discover how immersive technology and behavioral science are shaping the future of learning and performance. Key Topics The role of serious games in behavior change Impact of AI on game design and creativity The importance of practice in learning and memory Holistic systems thinking in technology adoption Ethics and regulation of AI in training The human element in AI-driven systems Cost and quality considerations in immersive learning The future of work and AI adoption among different age groups Chapters 00:00 Introduction to Helen Routledge and Totem Learning 01:10 Helen's background in psychology and behavior change 02:30 What are serious games and their role in learning 03:46 Current focus on AI and its impact on software and game design 05:18 The challenge of quality in AI-generated content 06:55 The importance of creativity and human direction in game development 07:41 Holistic systems thinking in behavior change and technology 08:22 Practice versus instant knowledge in learning 10:30 Building mental models through practice and experience 12:18 The value of doing and experiential learning 13:33 The emotional element in learning and AI simulation 15:33 Empowering learners through problem-solving and choice 17:00 AI as a supporter versus a control in learning 18:03 Designing AI characters with emotional and psychological depth 20:28 Emulating emotion and human traits in AI characters 22:39 Cost, quality, and the economics of immersive learning 24:36 Risks and safeguards in AI development and deployment 26:31 Experimentation and rapid testing with AI tools 28:14 Regulation, safety, and slowing down AI progress 30:43 AI adoption and resistance among different age groups 33:22 The societal impact of AI and future work trends 36:22 The importance of human connection in a digital world 38:45 The unique value of human judgment in immersive learning 42:37 Helen's recommended game: Zelda Breath of the Wild 43:46 Nested problem solving in games and real-world applications 44:50 The joy of curiosity and continuous learning 45:46 Connecting with Helen and final thoughts Links and Stuff Everyday AI: Your daily guide to grown with Generative AI Can't keep up with AI? We've got you. Everyday AI helps you keep up and get ahead. Listen on: Apple Podcasts Spotify Support the show Subscribe 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.

July 24, 2026Episode 12243 min

“AI Agents Are Running Entire Businesses — Is Project Delivery Next?”

Send us Fan Mail Summary In this episode, Ritesh Patel, co-founder of TicketFairy , shares insights on how AI is transforming event management, ticketing, and industry dynamics. Discover how innovative AI-driven tools are streamlining operations, enhancing fan engagement, and shaping the future of live events. Key Topics AI in event management and ticketing Automation of event production tasks Word of mouth and network effects in ticket sales AI-driven industry insights and analytics Custom AI harness and skills for event planning Impact of AI on jobs and industry dynamics Chapters 00:00 Introduction to Ritesh Patel and TicketFairy 01:11 Ritesh's background in tech and event production 03:03 Identifying market gaps in event tech 03:55 TicketFairy's dual focus on promoters and fans 04:46 The importance of industry health and sustainability 05:57 Digitizing word of mouth and marketing 08:54 AI's role in streamlining event logistics 10:57 Building custom AI harnesses for industry-specific needs 12:58 Early experiments with AI and LLMs in event management 15:04 The development of AI agents for event production 18:02 Proactive AI in operational management and safety 19:56 AI for continuous improvement and feedback loops 21:48 AI's role in logistics, contracts, and vendor management 24:56 The importance of ground-level experience in AI development 29:56 Scaling AI systems for business and industry 31:53 Future potential of recursive AI improvements 33:52 Impact of AI on jobs and industry efficiency 37:09 Societal implications and the AI revolution 40:05 The enduring value of in-person experiences 41:08 Personal influences and recent technological inspirations 42:06 Predictions for the future of live events in 2031 43:50 Closing thoughts and where to find Ritesh Links and Stuff Ticket Fairy's Linkedin : Everyday AI: Your daily guide to grown with Generative AI Can't keep up with AI? We've got you. Everyday AI helps you keep up and get ahead. Listen on: Apple Podcasts Spotify Support the show Subscribe 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.

July 17, 2026Episode 12149 min

Why 95% of AI Projects Fail — and What the 5% Do Differently

Send us Fan Mail Summary In this episode, Alex Luketa from Xerini shares insights on AI, data management, and the future of technology, emphasizing the importance of data quality, governance, and the societal impacts of AI. Key Topics Data silos and quality issues Impact of AI on organizational culture Risks and governance of AI Future hardware and local models Societal impacts and inequality Chapters 00:00 Introduction to Alex Luketa and Zorini 01:15 Alex's background in finance and AI 02:28 The core problem: Data silos and quality 03:38 AI's influence on organizational culture 04:39 Progress in data maturity and AI adoption 06:45 Starting small with data projects 08:10 Using AI to assess data quality 09:11 Lessons from HS2 project and AI failures 10:07 Business case and success metrics for AI 11:35 Addressing AI panic and data security concerns 12:14 Risks of AI and data privacy 14:58 The future of AI hardware and costs 16:10 Legislation, governance, and geopolitical risks 18:36 Local models and AI competition 20:43 Environmental costs of AI and data centers 22:24 Global AI market and competition 24:31 Market dynamics and monopoly concerns 26:13 The power of local hardware and AI accessibility 28:38 AI's societal impact and inequality 32:20 AI in healthcare and societal benefits 36:28 The future of AI legislation and governance 40:20 Adapting to AI and future predictions 44:27 Predictions for AI in 2031 46:26 Where to find Alex and Zorini LINKS AND STUFF Alex Luketa's Linkedin : https://www.linkedin.com/in/alex-luketa?utm_source=share_via&utm_content=profile&utm_medium=member_ios Everyday AI: Your daily guide to grown with Generative AI Can't keep up with AI? We've got you. Everyday AI helps you keep up and get ahead. Listen on: Apple Podcasts Spotify Support the show Subscribe 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.

July 10, 2026Episode 12047 min

Oxford Expert Reveals Why Projects Fail & How AI Changes Everything

Send us Fan Mail Summary In this episode, Atif Ansar discusses the transformative impact of AI on project management, the psychological biases affecting project delivery, and the future of autonomous construction. He shares insights from his work at Foresight Works and explores how AI can enhance decision-making and efficiency in complex projects. Key Topics Impact of AI on project management and construction Psychological and political biases in project delivery Reference class forecasting and AI techniques The acceleration of AI capabilities and compute power Organizational change and new work structures with AI Risks and limitations of AI models in project management Future predictions for autonomous construction and AI Chapters 00:00 Introduction to Atif Ansar and his work 01:54 The impact of AI on project management and infrastructure 04:14 Reference class forecasting and human biases 06:00 The acceleration of AI capabilities and compute power 07:53 Psychological biases and organizational resistance 10:03 Biases in project delivery and organizational culture 12:11 The future of AI in project management and construction 14:12 AI's role in de-biasing and decision support 16:03 Displacement and augmentation of jobs by AI 17:54 The economic impact of AI and data-driven companies 19:50 Small teams, small companies, and AI empowerment 21:57 Organizational structures and pod methodology 24:03 Limitations of AI and implicit knowledge 25:50 AI in project controls and schedule management 27:53 The ecosystem of AI models and system integration 30:00 Future predictions for autonomous construction 31:53 The importance of human expertise and implicit knowledge 34:01 The future of vertical AI and specialized models 36:11 Connecting AI systems and APIs 37:58 Practical applications of AI in project scheduling 40:02 Leadership and organizational maturity in AI adoption 41:54 The limits of codifying complex systems 44:01 The role of implicit knowledge and human experience 45:54 Bold predictions for AI and project delivery in 2034 47:53 Closing remarks and how to connect with Atif Links and Stuff Atif Ansar's Linkedin: https://www.linkedin.com/in/dr-atif-ansar-940bab1?utm_source=share_via&utm_content=profile&utm_medium=member_ios https://www.foresight.works/ Everyday AI: Your daily guide to grown with Generative AI Can't keep up with AI? We've got you. Everyday AI helps you keep up and get ahead. Listen on: Apple Podcasts Spotify Support the show Subscribe 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.

July 3, 2026Episode 11945 min

UN AI Advisor Reveals the Future of Artificial Intelligence

Send us Fan Mail Summary In this episode, Dr. Craig Ramlal and Daniel Goitia from the University of West Indies discuss the regional and global implications of AI, the importance of regulation, and the Caribbean's role in shaping AI policy and innovation. Key Topics Regional AI development in the Caribbean Global AI governance and regulation Data sovereignty and bias in AI systems The role of international organizations in AI policy Challenges of AI safety and interoperability Chapters 00:00 Introduction to AI in the Caribbean 03:31 The Evolution of AI and Its Challenges 07:03 Public Perception of AI and Its Implications 11:40 Global AI Governance and Regional Perspectives 16:27 Balancing Innovation and Regulation in AI 20:45 Harmonizing AI Policies in the Caribbean 22:45 Digital Preservation and AI Challenges 25:44 Building Capacity in the Caribbean 28:38 Data Sovereignty and AI Opportunities 31:14 Regulation and Global Standards for AI 35:49 The Future of AI: Risks and Responsibilities 42:54 j ames.mp4 43:34 Exploring Key Themes in Project Flux 43:46 Exploring the Core Principles of Project Management Links and Stuff Dr. Craig Ramlal's LinkedIn: https://www.linkedin.com/in/craig-ramlal-359b87249/ Daniel Goitia's LinkedIn: https://www.linkedin.com/in/daniel-goitia-b1347471/ Everyday AI: Your daily guide to grown with Generative AI Can't keep up with AI? We've got you. Everyday AI helps you keep up and get ahead. Listen on: Apple Podcasts Spotify Support the show Subscribe 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.

June 26, 2026Episode 11844 min

AI Is Secretly Making You Worse at Your Job — Here's the Fix

Send us Fan Mail Episode Description In this episode, Rob Butler shares his journey from project management to data analytics and AI, exploring how emerging technologies like graph databases, AI coding, and decision intelligence are transforming the project controls industry. We discuss the future of AI, ethical considerations, and practical steps for adopting innovative tools in complex projects. Key Topics Rob Butler's background in project management and data analytics The impact of AI on coding and project decision-making Graph databases and their application in projects Challenges and opportunities of AI in critical systems The concept of decision intelligence in project controls The role of skills and tools in future project management Ethical and security considerations of advanced AI models Practical steps for adopting new technologies in projects Chapters 00:00 Introduction to AI's Impact on Coding 06:23 Navigating Project Management and Coding 09:59 Emerging Challenges in Tech and Project Management 12:44 Understanding Graph Databases 20:42 AI and Knowledge Graphs: Finding Patterns 26:48 The Role of Skills in AI Agents 29:37 Collective Intelligence and Agent Networks 33:36 Risks and Alignments in AI Models 36:28 Framing Context in AI Outputs Links & stuff Rob Butler on LinkedIn: https://www.linkedin.com/in/rob-butler-65841953/ https://www.linkedin.com/company/kaleidoprojects/posts/?feedView=all https://kaleidoprojects.co.uk/ Rob Butler's website —https://kaleidoprojects.co.uk/ Everyday AI: Your daily guide to grown with Generative AI Can't keep up with AI? We've got you. Everyday AI helps you keep up and get ahead. Listen on: Apple Podcasts Spotify Support the show Subscribe 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.

June 19, 2026Episode 11752 min

The End of Apps? The Agent-First Future | Lucrezia Noli, Head of AI for HCLS at Google

Send us Fan Mail Episode Description In this episode, Lucrezia Noli from Google shares insights on AI's rapid evolution, agentic AI, world models, and the future of AI integration in industries. Discover how Google is shaping the next wave of AI technology and what it means for businesses and developers. Key Topics Evolution of AI and large language models Agentic AI and its capabilities Grounding LLMs with real-time data Google's Gemini and world models Multi-agent architectures and collaboration AI's role in healthcare and life sciences Challenges and risks in AI deployment Future predictions for AI development Chapters 00:00 Introduction to AI in Healthcare 03:49 The Evolution of Data Science and AI 06:36 Understanding AI Agents and Their Capabilities 09:41 The Role of Human Judgment in AI 12:14 The Displacement Paradox: Can AI Replace Us? 15:00 Trust and Collaboration with AI Agents 17:59 Navigating the Future of AI in Organizations 20:42 Multi-Agent Architectures: Collaboration and Differentiation 23:45 The Future of AI Marketplaces 29:50 Navigating AI Implementation Challenges 33:15 Understanding AI Models and Their Evolution 39:47 The Future of World Models vs. Large Language Models 43:03 The Intersection of Jazz and AI 46:05 Predictions for the Future of AI Interaction Links & stuff Lucrezia Noli on LinkedIn: https://www.linkedin.com/in/lucrezianoli/ Lucrezia’s website - https://lucrezianoli.ldn-projects.com/ Sign Up for NPlan AI Day ; https://www.nplan.io/events/nplan-summer-ai-day-2026-construction-superintelligence?utm_campaign=37177368-nPlan%20Summer%20AI%20Day%202026&utm_source=projectflux Everyday AI: Your daily guide to grown with Generative AI Can't keep up with AI? We've got you. Everyday AI helps you keep up and get ahead. Listen on: Apple Podcasts Spotify Support the show Subscribe 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.