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Project Flux

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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Friday · 50 min
Will AI Replace Project Managers? Galen Low on What Actually Changes
Send us Fan Mail Summary Galen Low, co-founder of the Digital Project Manager, shares insights on how digital project management intersects with AI, human skills, and the future of work in a rapidly changing technological landscape. Key Topics Impact of AI on project management Human skills versus technical skills in the AI era The divide between system-focused and social-focused project managers Adapting to rapid technological change The importance of collaboration and communication The evolution of job roles and titles in project management Overcoming fear and misinformation about AI Strategies for lifelong learning and adaptability Chapters 00:00 Introduction to Galen Lowe and his work 01:32 Connecting digital project management with infrastructure 03:47 Impact of AI on project leadership and industry mindset 05:00 Initial reactions to AI and project management evolution 08:25 Concerns about the rapid pace of AI development 10:02 Division between system-focused and social-focused project managers 17:03 The importance of human skills in an AI-driven world 20:21 The artificial divide and the convergence of skills 22:36 Using AI to enhance collaboration and learning 30:39 The journey of AI adoption and managing expectations 37:34 The potential for AI to close gaps and improve teamwork 39:14 Advice for future project managers in a changing world 44:13 The value of human connection and storytelling 47:03 Reflections on the meaning of impact and legacy 48:16 Where to find Galen Lowe and connect with him Links & stuff LinkedIn: transformation-advisor Galen Low's Website: https://thedigitalprojectmanager.com/ This episode is sponsored by Morta morta.io 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.
S1 · E131
September 11 · 46 min
AI Adoption Is Broken: The Hidden Costs Nobody Talks About
Send us Fan Mail Summary In this episode, Dr. Alex Leithard discusses the landscape of AI, its applications, cultural implications, pricing models, and the future of AI technology. Listeners will gain insights into how organizations can approach AI adoption responsibly and effectively. Key Topics AI landscape and applications Cultural change in AI adoption Pricing models and economic impact of AI Measuring AI value and impact AI safety, bias, and ethical considerations Future trends and the potential of AGI Chapters 00:00 Introduction to Dr. Alex Leithardt and episode overview 01:08 Dr. Leithardt's background and journey into AI 02:42 Understanding AI technologies and their applications 04:32 The role of organizational culture in AI adoption 05:48 Hypothesis testing and experimentation in AI projects 07:30 Quantitative vs qualitative measurement of AI value 08:49 Challenges in AI ROI and market disruption 13:50 Pricing models for AI: Value-based and outcome-based 18:20 Market disruption and the race to AI adoption 22:26 Environmental impact and data transparency in AI 24:49 On-device AI and future ecosystem considerations 28:50 Predictions for AGI and the future of AI technology 31:27 Consciousness, intelligence, and philosophical perspectives 34:33 Information overload and managing AI in organizations 36:20 Transparency, opaqueness, and user experience in AI tools 38:30 Data privacy, bias, and responsible AI use 41:21 Book and resource recommendations from Dr. Leithardt 43:24 On device AI stacks and tools used by Dr. Leithardt 44:50 Closing remarks and future discussions Links & Stuff 🔗 Connect with Alex Leathard on LinkedIn: https://www.linkedin.com/in/alexleathard/ 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.
S1 · E130
September 4 · 45 min
Human Judgment Still Matters in an AI OODA Loop with Nate Amidon, Form100 Consulting
Send us Fan Mail Summary In this episode, Nate Amidon shares his unique journey from a C-17 pilot to founder of Form 100 Consulting, highlighting how military skills translate into technology consulting and the importance of trust and governance in AI deployment. Key Topics Military skills in technology consulting The importance of trust in AI Governance and regulation of AI tools Using AI to improve decision-making and project delivery The OODA loop and AI's role in fast decision environments Transitioning from military to civilian tech careers Chapters 00:00 Introduction and episode overview 01:12 Nate Amidon's background as a C-17 pilot 02:13 Transition from military to technology consulting 03:01 Skills transfer from military to tech projects 04:07 Differences and similarities between military and private sector processes 06:23 The role of SOPs and regulation in organizations 08:14 AI governance and risk management 10:23 Balancing governance and innovation in AI deployment 13:17 Trust in AI and project reporting 17:06 Watermarking and authenticity of AI-generated content 19:30 The role of AI in decision-making and the OODA loop 22:20 AI's ability to discern and make decisions 28:39 Long horizon tasks and AI autonomy 33:17 Veteran support programs and MSSA 34:02 AI as a decision-making and creativity tool 37:55 Risks of over-reliance on AI in project management 42:18 Nate Amidon's work with veterans and future predictions Links & Stuff 🔗 Connect with Nate Amidon on LinkedIn: Nate Amidon on LinkedIn 🔗 Learn More About Movar: Visit Movar Reply 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.
S1 · E127
August 28 · 46 min
How AI Will Transform Law and Justice - Former UK Justice Secretary on AI, Courts and the Future of Law
Send us Fan Mail Summary In this episode, Sir Robert Buckland discusses the impact of AI on the justice system, the challenges of integrating technology into legal processes, and the future of AI regulation. His insights shed light on how AI can transform justice while highlighting the importance of human judgment and ethical considerations. Key Topics Impact of AI on the justice system Challenges of integrating AI into courts AI bias and ethical considerations Future regulation of AI and legal implications Training legal professionals for AI adoption Chapters 00:00 Introduction to Sir Robert Buckland and his career 03:29 The risks of misinformation and deep fakery in courts 07:09 The importance of verification and professional standards 11:24 The role of human judgment versus AI in courts 17:36 The evolution of legal work and technology over decades 20:39 AI's impact on court backlog and efficiency 24:00 Bias in large language models and societal implications 26:37 Law and social change: AI's role in reflecting societal values 27:18 The importance of human final judgment in legal decisions 30:50 Richard Susskind's perspective on professional change 31:15 The future of the legal profession in the AI era 33:17 Developing AI systems in partnership with legal professionals 34:30 Lessons from past technological failures in justice systems 35:09 Risks of AI system failures and the need for oversight 36:10 The shift towards output-based legal service pricing 37:24 The potential of agentive AI in court processes 38:23 Insights into government decision-making and AI awareness 40:21 The role of government and regulation in AI development 42:23 Global AI regulation: EU, US, and UK perspectives 44:29 Reflections on technological innovation and future prospects Links & Stuff Sir Robert Buckland KC: Protecting the Rule of Law Doesn’t Mean the Rule of Lawyers Read the article AI, Machine Learning and the Justice System – Harvard Kennedy School Research Paper Read the full research paper (PDF) About Sir Robert Buckland KC Learn more about Sir Robert Buckland LinkedIn: Connect with Sir Robert Buckland on LinkedIn 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.
S1 · E126
August 21 · 45 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/ 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.
S1 · E125
August 14 · 45 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/ 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.
S1 · E124
August 7 · 47 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 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.
S1 · E123
July 31 · 44 min
How AI Is Changing Education, Work & Human Behavior
Send us Fan Mail Summary Helen Routledge, CEO of Totem 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 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.
S1 · E122
July 24 · 42 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 : 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.
S1 · E121
July 17 · 48 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 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.
S1 · E120
July 10 · 47 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/ 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.
S1 · E119
July 3 · 44 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 james.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/ 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.
S1 · E118
June 26 · 43 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/ 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.
S1 · E117
June 19 · 51 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 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.
S1 · E116
June 12 · 52 min
From Metaverse to AI Glasses - What's Really Happening in XR with Ryan Clarke, Data Consultant
Send us Fan Mail Summary In this episode, we explore the latest in AI, extended reality, and future tech trends with expert Ryan Clarke. We discuss the impact of AI on project management, the evolution of mixed reality devices like Apple Vision Pro, and the ethical considerations of emerging technologies. Key Topics AI's role in project management and data analysis The rise and fall of Meta's Horizon Worlds and the metaverse The development and potential of Apple Vision Pro Privacy concerns with AR glasses and video capture Vibecoding and rapid prototyping with AI The convergence of AI, neurology, and human augmentation Predictions for AI and superintelligence in the next decade Chapters 00:00 Introduction and Guest Reintroduction 05:02 Exploring Extended Reality and Its Challenges 10:56 The Future of Mixed Reality and AI Integration 15:30 Use Cases and Practical Applications of XR Technology 21:57 Predictions for the Future of XR and AI 26:33 The Influence of Product Placement in Media 27:52 Exploring Vibe Coding and Extended Reality 29:50 Prototyping with Vibe Coding: A New Era 31:46 The Challenges of Data Visualization and Client Engagement 33:34 Navigating the Limitations of Current Technology 35:16 The Future of Presentations: Moving Beyond PowerPoint 37:20 The Importance of Clean Data in Decision Making 39:05 Legacy Systems: The Challenge of Modernization 41:13 The Human Element in Automation and AI 43:08 The Future of Work: Embracing Change and Innovation 51:05 Unleash the Code 1 Second.mp3 51:44 Introduction to Project Flux 51:44 Exploring the Core Principles of Project Management 51:58 Unleash the Code Intro.wav Links & Stuff: You can find more about Ryan Clarke: Ryan’s Linkedin: https://www.linkedin.com/in/ryanclarke3/ 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.
S1 · E118
June 5 · 44 min
The Shocking Reason AI Isn't Causing Mass Unemployment
Send us Fan Mail Summary In this episode, conversation with Martin Neale explores the impact of AI and video production technology on the industry, emphasizing how technological advancements expand the overall 'pie' rather than just shifting slices. It challenges misconceptions about AI taking over roles and highlights the importance of understanding the broader benefits of innovation. Key Topics AI's impact on video production Myths about AI taking over roles Technology increases industry size Video as a tool for better understanding Chapters 00:00 Introduction to Martin Neale and ICS AI 02:06 Martin's Journey into AI and ICS AI 04:07 AI Adoption in Different Sectors 06:13 The Role of AI in Education and Local Government 09:30 Generational Perspectives on AI 12:08 The Impact of AI on Job Markets 14:51 AI's Role in Recruitment and Workforce Dynamics 18:08 The Future of AI in Organizations 23:21 The Evolution of AI Architecture 24:05 Ambition in AI Implementation 26:53 Measuring AI Success in Organizations 28:26 Challenges in AI Implementation 30:26 Transforming Public Services with AI 33:07 Navigating Dialects and Accents in AI 34:56 Ethics of AI Communication 37:04 The Future of AI and Human Interaction 39:52 Influences and Inspirations in AI Development 43:16 james .mp4 43:57 Exploring Key Themes in Project Flux 44:06 Introduction to Project Flux 44:06 Exploring the Core Principles of Project Management 44:19 Unleash the Code Intro.wav links and Resources You can find Martin Neale on: Linkedin: https://www.linkedin.com/in/martinneale?utm_source=share_via&utm_content=profile&utm_medium=member_ios Website : https://www.ics.ai/ 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.
S1 · E117
May 29 · 46 min
This AI Tool Did 2 Weeks of Work in 6 Minutes
Send us Fan Mail Summary In this episode, industry expert Phil Chell discusses the transformative impact of AI on construction, project management, and professional services. Topics include AI-driven efficiency, industry challenges, and future visions for construction technology. In this engaging interview, Phil Chell shares insights on AI, construction tech, company culture, and future trends in technology. Discover real-world success stories, challenges faced, and the transformative power of innovation in the industry. Key Topics AI-driven efficiency in construction Industry challenges and skills gap Future visions for construction technology AI in construction and security Company culture and innovation Success and failure stories in tech Future trends in AI and automation Timestamps: 00:00 - Intro and guest introduction: Phil Chell, AI pioneer in construction 02:48 - The origin story of Hera Waterproofing and AI integration 05:26 - Challenges facing the construction industry and AI opportunities 08:37 - Automating order processing with API and LLM technology 11:21 - The role of human oversight and managing job displacement fears 13:42 - Rethinking the QS profession and orchestrating AI agents 15:56 - The evolution of industry legislation and regulation impacts 20:09 - Unblocking project bottlenecks with AI and regulatory changes 22:26 - CoreOS: digital project management and data management tools 28:56 - Use of drones and photogrammetry in construction surveying 30:44 - Successful case of automation in waste management and AI-powered voice agents 32:29 - Building a company culture that embraces change and innovation 35:12 - The future of AGI and ongoing AI developments 36:11 - The importance of naivety and resilience in technological progress 38:05 - Industry risks, regulation lag, and the wild west of AI development 41:36 - Recommended resources: Ryan Holiday’s "The Obstacle is the Way" 44:01 - Closing thoughts and how to connect with Phil Chell Links and Stuff: Website: https://www.herawaterproofing.co.uk/ OR https://www.chironai.co.uk/ LinkedIn: Follow Phil on Linked In Episode sponsored by Movar: https://movar.group/services/tech-and-data 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.
S1 · E116
May 22 · 50 min
Why Most Companies Will Fail at AI Adoption I Greg Lawton
Send us Fan Mail Episode Description In this in-depth interview, Greg Lawton from Nodes and Link discusses the evolution of AI in construction, recent partnerships with Oracle, and the future of autonomous systems and AI governance. Gain insights into ground truth models, auditable AI, and the transformative potential of AI-driven orchestration in industry. He explains: ◼️Ground truth models for AI ◼️Auditable AI and trust in automation ◼️Partnerships with Oracle for industry innovation ◼️The evolution of AI in construction and project management Chapters 00:00 Welcome Back and Introduction to Nodes and Link 01:39 Evolution of Nodes and Link: From Scheduling Tool to AI Expert 04:45 Partnership with Oracle: Shaping the Future of Construction 07:24 Shared Values and Principles in Business 08:40 The Importance of Auditability in AI 11:15 The Role of AI in Project Management 13:40 Industry Fallacies and Lessons Learned 17:20 The Challenge of Non-Software Companies 18:41 Emerging Dynamics in Software Development 22:16 New Features: Autopilot and Ground Truth Models 27:41 The Legal Accountability of AI 29:58 The Future of AI Autonomy 32:12 The Rise of Humanoid Robotics 33:50 Implicit Knowledge and AI 36:35 The Future of Project Management Technology 41:53 Transformations in Professions and Mindsets 49:56 Unleash the Code Intro.wav Resources & Links: LinkedIn: https://www.linkedin.com/in/greg-lawton-3545497b?utm_source=share_via&utm_content=profile&utm_medium=member_ios Website: https://nodeslinks.com/ 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.
S1 · E116
May 18 · 42 min
How ProcurePro Raised $15 Million to transform construction procurement
Send us Fan Mail Procure Pro Secures $15 Million: A New Era in Construction Innovation Discover how Procure Pro is transforming procurement processes in construction through AI, data integration, and strategic growth, revolutionizing an industry traditionally slow to change. In this episode: Alastair Blenkin shares the recent $15 million funding milestone and what it signals for the industry The evolution of AI in construction tech and the shift from pilots to strategic implementation How Procure Pro's platform reduces manual work with real-time data and AI-powered decision making The future of procurement: automating models similar to insurance comparison sites The importance of deterministic systems and trustworthy AI for critical project data Managing complex feature interdependencies through dedicated product squads The role of governance and permissions in enterprise AI deployment The strategic approach to hiring engineers in an AI-driven industry Insights on scaling operations and valuing control and visibility in project management Timestamps: 00:00 - Introduction to Alistair Blenkin and Procure Pro's funding success 00:42 - Recent funding announcement and industry implications 01:31 - Key drivers of Procure Pro’s growth: AI, process, and global expansion 03:07 - AI evolution in construction tech: from pilots to structured strategies 04:43 - How AI is transforming procurement decision making 05:16 - The shift from manual spreadsheets to AI-automated workflows 06:09 - Comparing AI tools like Claude and ChatGPT for construction use cases 07:00 - Benefits and challenges of narrow AI solutions in procurement 07:18 - Data collection at procurement stage and its future potential 08:01 - Defining procurement in construction and its digital transformation 09:23 - Decision-making risks and the importance of structured data 10:13 - Future of procurement: from automation to reinventing the model 11:23 - The vision for real-time, programmatic supply chain pricing 12:19 - Automating quotes comparisons while maintaining human oversight 13:00 - The long-term view on AI and data readiness for construction 14:24 - Opportunities in orchestration and risk detection with AI agents 15:37 - Developing AI copilot features for project management 16:42 - The human element in AI-led procurement and negotiation 17:35 - Costs of AI agents and maintaining human connections 18:58 - The importance of responsibility and "bookending" in AI workflows 19:10 - Building trust through deterministic systems and industry standards 20:34 - Funding details: differences in currency reporting and validation 21:08 - Lessons from early funding pitches and adapting messaging for investors 22:27 - Rapid change in tech and construction projects driven by AI 23:52 - Big vision: data networks and industry-wide AI ecosystems 24:35 - Growth and revenue milestones emphasizing efficiency 25:21 - Building deterministic systems into Procure Pro’s architecture 27:01 - The evolving role of engineers with AI automation 28:25 - Redefining job descriptions and AI’s role in engineering teams 29:51 - Managing interdependent workflows with dedicated product squads 32:00 - Technical infrastructure: APIs, integrations, and middleware 33:19 - Governance, permissions, and enterprise-grade security measures 35:31 - Data search and retrieval: leveraging natural language and permission controls 36:07 - The future of AI storytelling: confidence in a new wave of technology 37:39 - Connecting AI modules: from quote leveling to procurement workflows 38:10 - API development and integration capabilities 39:09 - Final advice for contractors: control, visibility, and early risk detection 44:32 - Key takeaways: visibility and control as industry imperatives 45:34 - Final thoughts and encouragement for industry innovators Resources & Links: Procure Pro Official Website Alastair Blenkin on LinkedIn Episode 42 of Project Flux with Alastair Claude.ai ChatGPT 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.
S1 · E115
May 15 · 48 min
Project Managers Have a Secret Advantage in the AI Era / Nikki Barua, Flipwork
Send us Fan Mail Dive into the transformative power of AI with Nikki Barua, CEO of Flipwork, as she shares her journey, insights on industry disruption, and the future of work in an AI-driven world. This episode explores how organizations can adapt and thrive amid rapid technological change. KEY TOPICS Nikki’s career journey from EY to AI entrepreneurship and her unique interdisciplinary approach The divide between technology’s speed and humans’ ability to adapt, and how Flipwork aims to bridge that gap Industry-specific challenges and opportunities with AI disruption, from regulated sectors to SaaS Reimagining work: from effort-based productivity to creativity, fulfillment, and organizational culture The concept of reallocation of AI-generated capacity towards innovation and human-centric work The importance of skills like orchestration of AI agents, resource planning, and leadership in hybrid human-AI teams The role of emotional intelligence, setting context, and reframing leadership in an AI-enabled workspace Capabilities and pitfalls of AI energy use, compute resource allocation, and technological convergence Practical tools like FlipFactor for AI readiness assessment at enterprise and small business levels Impact of AI on identity, imposter syndrome, and expanding human agency and purpose The craft of genuine original content and craftsmanship as a differentiator in the proliferation of AI-generated outputs The evolving struggle: removing mundane labor, emphasizing higher-value creative pursuits, and avoiding superficial challenges Recommendations for insightful newsletters and podcasts, with highlights like David Senra’s deep dives and Lex Friedman’s rigor Future visions: abundance, societal purpose, and the importance of human passion and curiosity in an AI-empowered world TIMESTAMPS 00:00 - Welcome and episode overview with Nikki Barua 00:16 - Nikki’s background and journey into AI and transformation 00:54 - The intersection of strategy, tech, and human adaptation 01:37 - The rapid pace of tech change versus human resilience 02:07—Why Flipwork exists to bridge the AI-human divide 03:32 - Rewiring mindsets for AI adaptation and leadership 04:17 - Connecting the dots across diverse career experiences 04:41 - Industry disruption: challenges and opportunities 05:11 - Navigating regulations in sectors like banking and healthcare 06:15 - The evolving definition of human work and skills 06:50 - Expanding human creativity and fulfilling work in AI age 07:36 - Measuring success beyond productivity: retention and fulfillment 08:04 - Reallocation of AI-driven capacity to innovation 09:04 - Raising the bar: excellence and mastery in the AI era 09:31 - Fulfillment through operating in the zone of genius 10:16 - The evolution of creativity and idea proliferation 10:32 - Energy and compute capacity challenges in AI scaling 11:07 - How resources flow toward high-value industries 11:38 - Capital and energy infrastructure for AI expansion 12:36 - The convergence of AI tools and specialization paths 13:03 - The rise of AI agents and resourcefulness 13:31 - The importance of imagination and bravery in execution 14:16 - Orchestrating multiple AI agents and resource planning 15:08 - The impact on leadership, hybrid teams, and management practices 16:16 - The shift from command-and-control to context setting 17:14 - Emotional intelligence Links and Resources: Nikki Barua's Website: https://www.nikkibarua.com LinkedIn - Nikki Barua: https://www.linkedin.com/in/nikkibarua/ David Senra — Founders Podcast: https://www.founderspodcast.com Lex Fridman Podcast: https://lexfridman.com/podcast FlipWork (Company): https://www.flipwork.ai 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.

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