Project Flux

Send us Fan MailSummaryIn 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 TopicsAI landscape and applicationsCultural change in AI adoptionPricing models and economic impact of AIMeasuring AI value and impactAI safety, bias, and ethical considerationsFuture trends and the potential of AGIChapters00:00 Introduction to Dr. Alex Leithardt and episode overview01:08 Dr. Leithardt's background and journey into AI02:42 Understanding AI technologies and their applications04:32 The role of organizational culture in AI adoption05:48 Hypothesis testing and experimentation in AI projects07:30 Quantitative vs qualitative measurement of AI value08:49 Challenges in AI ROI and market disruption13:50 Pricing models for AI: Value-based and outcome-based18:20 Market disruption and the race to AI adoption22:26 Environmental impact and data transparency in AI24:49 On-device AI and future ecosystem considerations28:50 Predictions for AGI and the future of AI technology31:27 Consciousness, intelligence, and philosophical perspectives34:33 Information overload and managing AI in organizations36:20 Transparency, opaqueness, and user experience in AI tools38:30 Data privacy, bias, and responsible AI use41:21 Book and resource recommendations from Dr. Leithardt43:24 On device AI stacks and tools used by Dr. Leithardt44:50 Closing remarks and future discussionsLinks & Stuff🔗 Connect with Alex Leathard on LinkedIn:https://www.linkedin.com/in/alexleathard/Support the showSubscribe to the Project Flux Newsletter!All our podcasts commentate on the weeks hottest news brought to you by the Project Flux Newsletter! Get a step ahead on the world of AI and tech, subscribe and get the weekly newsletter to your inbox every Monday!Sign Up to Newsletter Project Flux is independently owned, funded, and operated by its founder. Any external references or features are for community benefit only and do not imply endorsement, control, or ownership.

Send us Fan MailSummaryIn this episode, 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 TopicsMilitary skills in technology consultingThe importance of trust in AIGovernance and regulation of AI toolsUsing AI to improve decision-making and project deliveryThe OODA loop and AI's role in fast decision environmentsTransitioning from military to civilian tech careersChapters00:00 Introduction and episode overview01:12 Nate Amidon's background as a C-17 pilot02:13 Transition from military to technology consulting03:01 Skills transfer from military to tech projects04:07 Differences and similarities between military and private sector processes06:23 The role of SOPs and regulation in organizations08:14 AI governance and risk management10:23 Balancing governance and innovation in AI deployment13:17 Trust in AI and project reporting17:06 Watermarking and authenticity of AI-generated content19:30 The role of AI in decision-making and the OODA loop22:20 AI's ability to discern and make decisions28:39 Long horizon tasks and AI autonomy33:17 Veteran support programs and MSSA34:02 AI as a decision-making and creativity tool37:55 Risks of over-reliance on AI in project management42:18 Nate Amidon's work with veterans and future predictionsLinks & Stuff🔗 Connect with Nate Amidon on LinkedIn:Nate Amidon on LinkedIn🔗 Learn More About Movar:Visit Movar ReplySupport the showSubscribe to the Project Flux Newsletter!All our podcasts commentate on the weeks hottest news brought to you by the Project Flux Newsletter! Get a step ahead on the world of AI and tech, subscribe and get the weekly newsletter to your inbox every Monday!Sign Up to Newsletter Project Flux is independently owned, funded, and operated by its founder. Any external references or features are for community benefit only and do not imply endorsement, control, or ownership.

Send us Fan MailSummaryIn this episode, 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 TopicsImpact of AI on the justice systemChallenges of integrating AI into courtsAI bias and ethical considerationsFuture regulation of AI and legal implicationsTraining legal professionals for AI adoptionChapters00:00 Introduction to Sir Robert Buckland and his career03:29 The risks of misinformation and deep fakery in courts07:09 The importance of verification and professional standards11:24 The role of human judgment versus AI in courts17:36 The evolution of legal work and technology over decades20:39 AI's impact on court backlog and efficiency24:00 Bias in large language models and societal implications26:37 Law and social change: AI's role in reflecting societal values27:18 The importance of human final judgment in legal decisions30:50 Richard Susskind's perspective on professional change31:15 The future of the legal profession in the AI era33:17 Developing AI systems in partnership with legal professionals34:30 Lessons from past technological failures in justice systems35:09 Risks of AI system failures and the need for oversight36:10 The shift towards output-based legal service pricing37:24 The potential of agentive AI in court processes38:23 Insights into government decision-making and AI awareness40:21 The role of government and regulation in AI development42:23 Global AI regulation: EU, US, and UK perspectives44:29 Reflections on technological innovation and future prospectsLinks  & Stuff Sir Robert Buckland KC: Protecting the Rule of Law Doesn’t Mean the Rule of LawyersRead the articleAI, Machine Learning and the Justice System – Harvard Kennedy School Research PaperRead the full research paper (PDF)About Sir Robert Buckland KCLearn more about Sir Robert BucklandLinkedIn: Connect with Sir Robert Buckland on LinkedInSupport the showSubscribe to the Project Flux Newsletter!All our podcasts commentate on the weeks hottest news brought to you by the Project Flux Newsletter! Get a step ahead on the world of AI and tech, subscribe and get the weekly newsletter to your inbox every Monday!Sign Up to Newsletter Project Flux is independently owned, funded, and operated by its founder. Any external references or features are for community benefit only and do not imply endorsement, control, or ownership.

Send us Fan MailSummaryIn this episode, 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 TopicsAI policy and governance complexitiesThe pace of regulation versus technological developmentGlobal and regional AI regulationsThe impact of AI on legal practice and law firmsMarket power and geopolitical considerations in AI regulationThe role of regulators and dialogue in AI governanceAI hallucinations and legal liabilityFuture predictions for AI regulation in five yearsChapters00:00 Introduction to AI policy and governance02:01 Isabella's background and journey into AI regulation03:48 The increasing importance of AI regulation and political debates06:07 The scattered landscape of global AI regulations06:57 Law versus technology: the race and pace problem08:56 The impact of market power and geopolitical interests10:54 The role of regulation in innovation and risk management13:03 Case study: AI in the legal sector and liability issues15:57 The importance of dialogue and regulatory engagement17:57 Future predictions for AI regulation and potential crisesLinks and StuffIsabella’s Linked In - https://www.linkedin.com/in/isabela-parisio-?utm_source=share_via&utm_content=profile&utm_medium=member_iosRichard Susskind — The Future of the ProfessionsThe 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-9780198841890AI policy and governance research at King's College LondonKing's Institute for Artificial Intelligence — https://www.kcl.ac.uk/aiTELOS — 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 specificallyResponsible AI UK at King's — https://www.kcl.ac.uk/research/rai-ukUKRI Centre for Doctoral Training in Safe and Trusted AI (KCL / Imperial) — https://safeandtrustedai.org/Support the showSubscribe to the Project Flux Newsletter!All our podcasts commentate on the weeks hottest news brought to you by the Project Flux Newsletter! Get a step ahead on the world of AI and tech, subscribe and get the weekly newsletter to your inbox every Monday!Sign Up to Newsletter Project Flux is independently owned, funded, and operated by its founder. Any external references or features are for community benefit only and do not imply endorsement, control, or ownership.

Send us Fan MailSummaryIn this episode, 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 TopicsAI's role in construction and designOutcome-based modeling and its implicationsThe evolution of developer work with AIHeuristics and their role in AI developmentMulti-agent systems and scaffolding in AIResponsible AI and ethical considerationsFuture skills for developers and usersThe impact of AI on human roles and collaborationChapters00:00 Introduction and episode overview01:13 Guest introduction: Emil Kofori from Autodesk02:09 Emil's background and team overview at Autodesk04:03 Challenges in AI adoption and responsible use05:22 Changes in developer advocacy and AI's influence07:33 Shift towards outcome-based design in construction09:41 Scrutinizing AI models and understanding their thought process12:25 Multi-agent architectures and scaffolding in AI17:45 Heuristics, AI, and open-ended problem solving23:06 Indicators for when not to use AI28:50 The future skills of developers and humans in AI era39:31 Books that influenced Emil's thinking41:34 Predictions for AI in AEC in five years43:06 Closing remarks and where to find EmilLinks and Stuff Emile Kfouris's Linkedin : https://www.linkedin.com/in/emile-kfouri/Support the showSubscribe to the Project Flux Newsletter!All our podcasts commentate on the weeks hottest news brought to you by the Project Flux Newsletter! Get a step ahead on the world of AI and tech, subscribe and get the weekly newsletter to your inbox every Monday!Sign Up to Newsletter Project Flux is independently owned, funded, and operated by its founder. Any external references or features are for community benefit only and do not imply endorsement, control, or ownership.

Send us Fan MailSummaryIn this 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 TopicsAI's impact on construction project managementData quality and unstructured data in constructionUse of live data versus historical data in AI modelsThe importance of domain expertise in AI solutionsChallenges of AI adoption in construction industryThe concept of faithful but wrong in AI outputsFuture prospects of AI and AGI in constructionChapters00:00 Introduction to the episode and guests01:09 Joao Dias discusses his background and motivation for founding Constructor02:34 The personal pain points in project delivery that AI aims to solve03:11 Shirin Dora shares her transition from academic machine learning to industry impact04:11 The collaboration between domain expertise and AI technology06:02 Differentiating Constructor from other construction tech platforms09:52 Constructor's approach: detect, quantify, and act with live data11:01 Why focus on live data instead of historical data12:21 Choosing appropriate AI techniques for construction problems16:15 Understanding hallucination versus faithful but wrong in AI outputs21:32 Liability and trust in AI-generated insights in construction24:13 Current AI adoption levels in the construction industry34:24 Preparing for the future: building AI capabilities for construction professionals41:54 The long-term outlook for AI and the possibility of AGI in constructionConnect with the Guests:Joao Dias - LinkedInShirin Dora - LinkedinConstructer.aiSupport the showSubscribe to the Project Flux Newsletter!All our podcasts commentate on the weeks hottest news brought to you by the Project Flux Newsletter! Get a step ahead on the world of AI and tech, subscribe and get the weekly newsletter to your inbox every Monday!Sign Up to Newsletter Project Flux is independently owned, funded, and operated by its founder. Any external references or features are for community benefit only and do not imply endorsement, control, or ownership.

Send us Fan MailSummaryHelen 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 TopicsThe role of serious games in behavior changeImpact of AI on game design and creativityThe importance of practice in learning and memoryHolistic systems thinking in technology adoptionEthics and regulation of AI in trainingThe human element in AI-driven systemsCost and quality considerations in immersive learningThe future of work and AI adoption among different age groupsChapters00:00 Introduction to Helen Routledge and Totem Learning01:10 Helen's background in psychology and behavior change02:30 What are serious games and their role in learning03:46 Current focus on AI and its impact on software and game design05:18 The challenge of quality in AI-generated content06:55 The importance of creativity and human direction in game development07:41 Holistic systems thinking in behavior change and technology08:22 Practice versus instant knowledge in learning10:30 Building mental models through practice and experience12:18 The value of doing and experiential learning13:33 The emotional element in learning and AI simulation15:33 Empowering learners through problem-solving and choice17:00 AI as a supporter versus a control in learning18:03 Designing AI characters with emotional and psychological depth20:28 Emulating emotion and human traits in AI characters22:39 Cost, quality, and the economics of immersive learning24:36 Risks and safeguards in AI development and deployment26:31 Experimentation and rapid testing with AI tools28:14 Regulation, safety, and slowing down AI progress30:43 AI adoption and resistance among different age groups33:22 The societal impact of AI and future work trends36:22 The importance of human connection in a digital world38:45 The unique value of human judgment in immersive learning42:37 Helen's recommended game: Zelda Breath of the Wild43:46 Nested problem solving in games and real-world applications44:50 The joy of curiosity and continuous learning45:46 Connecting with Helen and final thoughtsLinks and StuffSupport the showSubscribe to the Project Flux Newsletter!All our podcasts commentate on the weeks hottest news brought to you by the Project Flux Newsletter! Get a step ahead on the world of AI and tech, subscribe and get the weekly newsletter to your inbox every Monday!Sign Up to Newsletter Project Flux is independently owned, funded, and operated by its founder. Any external references or features are for community benefit only and do not imply endorsement, control, or ownership.

Send us Fan MailSummaryIn this episode, 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 TopicsAI in event management and ticketingAutomation of event production tasksWord of mouth and network effects in ticket salesAI-driven industry insights and analyticsCustom AI harness and skills for event planningImpact of AI on jobs and industry dynamicsChapters00:00 Introduction to Ritesh Patel and TicketFairy01:11 Ritesh's background in tech and event production03:03 Identifying market gaps in event tech03:55 TicketFairy's dual focus on promoters and fans04:46 The importance of industry health and sustainability05:57 Digitizing word of mouth and marketing08:54 AI's role in streamlining event logistics10:57 Building custom AI harnesses for industry-specific needs12:58 Early experiments with AI and LLMs in event management15:04 The development of AI agents for event production18:02 Proactive AI in operational management and safety19:56 AI for continuous improvement and feedback loops21:48 AI's role in logistics, contracts, and vendor management24:56 The importance of ground-level experience in AI development29:56 Scaling AI systems for business and industry31:53 Future potential of recursive AI improvements33:52 Impact of AI on jobs and industry efficiency37:09 Societal implications and the AI revolution40:05 The enduring value of in-person experiences41:08 Personal influences and recent technological inspirations42:06 Predictions for the future of live events in 203143:50 Closing thoughts and where to find RiteshLinks and StuffTicket Fairy's Linkedin : Support the showSubscribe to the Project Flux Newsletter!All our podcasts commentate on the weeks hottest news brought to you by the Project Flux Newsletter! Get a step ahead on the world of AI and tech, subscribe and get the weekly newsletter to your inbox every Monday!Sign Up to Newsletter Project Flux is independently owned, funded, and operated by its founder. Any external references or features are for community benefit only and do not imply endorsement, control, or ownership.

Send us Fan MailSummaryIn this episode, 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 TopicsData silos and quality issuesImpact of AI on organizational cultureRisks and governance of AIFuture hardware and local modelsSocietal impacts and inequalityChapters00:00 Introduction to Alex Luketa and Zorini01:15 Alex's background in finance and AI02:28 The core problem: Data silos and quality03:38 AI's influence on organizational culture04:39 Progress in data maturity and AI adoption06:45 Starting small with data projects08:10 Using AI to assess data quality09:11 Lessons from HS2 project and AI failures10:07 Business case and success metrics for AI11:35 Addressing AI panic and data security concerns12:14 Risks of AI and data privacy14:58 The future of AI hardware and costs16:10 Legislation, governance, and geopolitical risks18:36 Local models and AI competition20:43 Environmental costs of AI and data centers22:24 Global AI market and competition24:31 Market dynamics and monopoly concerns26:13 The power of local hardware and AI accessibility28:38 AI's societal impact and inequality32:20 AI in healthcare and societal benefits36:28 The future of AI legislation and governance40:20 Adapting to AI and future predictions44:27 Predictions for AI in 203146:26 Where to find Alex and ZoriniLINKS AND STUFF Alex Luketa's Linkedin : https://www.linkedin.com/in/alex-luketa?utm_source=share_via&utm_content=profile&utm_medium=member_iosSupport the showSubscribe to the Project Flux Newsletter!All our podcasts commentate on the weeks hottest news brought to you by the Project Flux Newsletter! Get a step ahead on the world of AI and tech, subscribe and get the weekly newsletter to your inbox every Monday!Sign Up to Newsletter Project Flux is independently owned, funded, and operated by its founder. Any external references or features are for community benefit only and do not imply endorsement, control, or ownership.

Send us Fan MailSummaryIn this episode, 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 TopicsImpact of AI on project management and constructionPsychological and political biases in project deliveryReference class forecasting and AI techniquesThe acceleration of AI capabilities and compute powerOrganizational change and new work structures with AIRisks and limitations of AI models in project managementFuture predictions for autonomous construction and AIChapters00:00 Introduction to Atif Ansar and his work01:54 The impact of AI on project management and infrastructure04:14 Reference class forecasting and human biases06:00 The acceleration of AI capabilities and compute power07:53 Psychological biases and organizational resistance10:03 Biases in project delivery and organizational culture12:11 The future of AI in project management and construction14:12 AI's role in de-biasing and decision support16:03 Displacement and augmentation of jobs by AI17:54 The economic impact of AI and data-driven companies19:50 Small teams, small companies, and AI empowerment21:57 Organizational structures and pod methodology24:03 Limitations of AI and implicit knowledge25:50 AI in project controls and schedule management27:53 The ecosystem of AI models and system integration30:00 Future predictions for autonomous construction31:53 The importance of human expertise and implicit knowledge34:01 The future of vertical AI and specialized models36:11 Connecting AI systems and APIs37:58 Practical applications of AI in project scheduling40:02 Leadership and organizational maturity in AI adoption41:54 The limits of codifying complex systems44:01 The role of implicit knowledge and human experience45:54 Bold predictions for AI and project delivery in 203447:53 Closing remarks and how to connect with AtifLinks and StuffAtif Ansar's Linkedin: https://www.linkedin.com/in/dr-atif-ansar-940bab1?utm_source=share_via&utm_content=profile&utm_medium=member_ioshttps://www.foresight.works/Support the showSubscribe to the Project Flux Newsletter!All our podcasts commentate on the weeks hottest news brought to you by the Project Flux Newsletter! Get a step ahead on the world of AI and tech, subscribe and get the weekly newsletter to your inbox every Monday!Sign Up to Newsletter Project Flux is independently owned, funded, and operated by its founder. Any external references or features are for community benefit only and do not imply endorsement, control, or ownership.

Send us Fan MailSummaryIn this episode, 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 TopicsRegional AI development in the CaribbeanGlobal AI governance and regulationData sovereignty and bias in AI systemsThe role of international organizations in AI policyChallenges of AI safety and interoperabilityChapters00:00 Introduction to AI in the Caribbean03:31 The Evolution of AI and Its Challenges07:03 Public Perception of AI and Its Implications11:40 Global AI Governance and Regional Perspectives16:27 Balancing Innovation and Regulation in AI20:45 Harmonizing AI Policies in the Caribbean22:45 Digital Preservation and AI Challenges25:44 Building Capacity in the Caribbean28:38 Data Sovereignty and AI Opportunities31:14 Regulation and Global Standards for AI35:49 The Future of AI: Risks and Responsibilities42:54 james.mp443:34 Exploring Key Themes in Project Flux43:46 Exploring the Core Principles of Project ManagementLinks and StuffDr. 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 showSubscribe to the Project Flux Newsletter!All our podcasts commentate on the weeks hottest news brought to you by the Project Flux Newsletter! Get a step ahead on the world of AI and tech, subscribe and get the weekly newsletter to your inbox every Monday!Sign Up to Newsletter Project Flux is independently owned, funded, and operated by its founder. Any external references or features are for community benefit only and do not imply endorsement, control, or ownership.

Send us Fan MailEpisode DescriptionIn 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 TopicsRob Butler's background in project management and data analyticsThe impact of AI on coding and project decision-makingGraph databases and their application in projectsChallenges and opportunities of AI in critical systemsThe concept of decision intelligence in project controlsThe role of skills and tools in future project managementEthical and security considerations of advanced AI modelsPractical steps for adopting new technologies in projectsChapters00:00 Introduction to AI's Impact on Coding06:23 Navigating Project Management and Coding09:59 Emerging Challenges in Tech and Project Management12:44 Understanding Graph Databases20:42 AI and Knowledge Graphs: Finding Patterns26:48 The Role of Skills in AI Agents29:37 Collective Intelligence and Agent Networks33:36 Risks and Alignments in AI Models36:28 Framing Context in AI OutputsLinks & stuffRob Butler on LinkedIn: https://www.linkedin.com/in/rob-butler-65841953/https://www.linkedin.com/company/kaleidoprojects/posts/?feedView=allhttps://kaleidoprojects.co.uk/  Rob Butler's website—https://kaleidoprojects.co.uk/Support the showSubscribe to the Project Flux Newsletter!All our podcasts commentate on the weeks hottest news brought to you by the Project Flux Newsletter! Get a step ahead on the world of AI and tech, subscribe and get the weekly newsletter to your inbox every Monday!Sign Up to Newsletter Project Flux is independently owned, funded, and operated by its founder. Any external references or features are for community benefit only and do not imply endorsement, control, or ownership.

Send us Fan MailEpisode DescriptionIn 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 TopicsEvolution of AI and large language modelsAgentic AI and its capabilitiesGrounding LLMs with real-time dataGoogle's Gemini and world modelsMulti-agent architectures and collaborationAI's role in healthcare and life sciencesChallenges and risks in AI deploymentFuture predictions for AI developmentChapters00:00 Introduction to AI in Healthcare03:49 The Evolution of Data Science and AI06:36 Understanding AI Agents and Their Capabilities09:41 The Role of Human Judgment in AI12:14 The Displacement Paradox: Can AI Replace Us?15:00 Trust and Collaboration with AI Agents17:59 Navigating the Future of AI in Organizations20:42 Multi-Agent Architectures: Collaboration and Differentiation23:45 The Future of AI Marketplaces29:50 Navigating AI Implementation Challenges33:15 Understanding AI Models and Their Evolution39:47 The Future of World Models vs. Large Language Models43:03 The Intersection of Jazz and AI46:05 Predictions for the Future of AI InteractionLinks & stuffLucrezia 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=projectfluxSupport the showSubscribe to the Project Flux Newsletter!All our podcasts commentate on the weeks hottest news brought to you by the Project Flux Newsletter! Get a step ahead on the world of AI and tech, subscribe and get the weekly newsletter to your inbox every Monday!Sign Up to Newsletter Project Flux is independently owned, funded, and operated by its founder. Any external references or features are for community benefit only and do not imply endorsement, control, or ownership.

Send us Fan MailSummaryIn this episode, 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 TopicsAI's role in project management and data analysisThe rise and fall of Meta's Horizon Worlds and the metaverseThe development and potential of Apple Vision ProPrivacy concerns with AR glasses and video captureVibecoding and rapid prototyping with AIThe convergence of AI, neurology, and human augmentationPredictions for AI and superintelligence in the next decadeChapters00:00 Introduction and Guest Reintroduction05:02 Exploring Extended Reality and Its Challenges10:56 The Future of Mixed Reality and AI Integration15:30 Use Cases and Practical Applications of XR Technology21:57 Predictions for the Future of XR and AI26:33 The Influence of Product Placement in Media27:52 Exploring Vibe Coding and Extended Reality29:50 Prototyping with Vibe Coding: A New Era31:46 The Challenges of Data Visualization and Client Engagement33:34 Navigating the Limitations of Current Technology35:16 The Future of Presentations: Moving Beyond PowerPoint37:20 The Importance of Clean Data in Decision Making39:05 Legacy Systems: The Challenge of Modernization41:13 The Human Element in Automation and AI43:08 The Future of Work: Embracing Change and Innovation51:05 Unleash the Code 1 Second.mp351:44 Introduction to Project Flux51:44 Exploring the Core Principles of Project Management51:58 Unleash the Code Intro.wavLinks & Stuff:You can find more about Ryan Clarke:Ryan’s Linkedin: https://www.linkedin.com/in/ryanclarke3/Support the showSubscribe to the Project Flux Newsletter!All our podcasts commentate on the weeks hottest news brought to you by the Project Flux Newsletter! Get a step ahead on the world of AI and tech, subscribe and get the weekly newsletter to your inbox every Monday!Sign Up to Newsletter Project Flux is independently owned, funded, and operated by its founder. Any external references or features are for community benefit only and do not imply endorsement, control, or ownership.

Send us Fan MailSummaryIn this episode, 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 TopicsAI's impact on video productionMyths about AI taking over rolesTechnology increases industry sizeVideo as a tool for better understandingChapters00:00 Introduction to Martin Neale and ICS AI02:06 Martin's Journey into AI and ICS AI04:07 AI Adoption in Different Sectors06:13 The Role of AI in Education and Local Government09:30 Generational Perspectives on AI12:08 The Impact of AI on Job Markets14:51 AI's Role in Recruitment and Workforce Dynamics18:08 The Future of AI in Organizations23:21 The Evolution of AI Architecture24:05 Ambition in AI Implementation26:53 Measuring AI Success in Organizations28:26 Challenges in AI Implementation30:26 Transforming Public Services with AI33:07 Navigating Dialects and Accents in AI34:56 Ethics of AI Communication37:04 The Future of AI and Human Interaction39:52 Influences and Inspirations in AI Development43:16 james .mp443:57 Exploring Key Themes in Project Flux44:06 Introduction to Project Flux44:06 Exploring the Core Principles of Project Management44:19 Unleash the Code Intro.wavlinks 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_iosWebsite : https://www.ics.ai/Support the showSubscribe to the Project Flux Newsletter!All our podcasts commentate on the weeks hottest news brought to you by the Project Flux Newsletter! Get a step ahead on the world of AI and tech, subscribe and get the weekly newsletter to your inbox every Monday!Sign Up to Newsletter Project Flux is independently owned, funded, and operated by its founder. Any external references or features are for community benefit only and do not imply endorsement, control, or ownership.

Send us Fan MailSummaryIn this episode, 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 TopicsAI-driven efficiency in constructionIndustry challenges and skills gapFuture visions for construction technology AI in construction and securityCompany culture and innovationSuccess and failure stories in techFuture trends in AI and automationTimestamps:00:00 - Intro and guest introduction: Phil Chell, AI pioneer in construction02:48 - The origin story of Hera Waterproofing and AI integration05:26 - Challenges facing the construction industry and AI opportunities08:37 - Automating order processing with API and LLM technology11:21 - The role of human oversight and managing job displacement fears13:42 - Rethinking the QS profession and orchestrating AI agents15:56 - The evolution of industry legislation and regulation impacts20:09 - Unblocking project bottlenecks with AI and regulatory changes22:26 - CoreOS: digital project management and data management tools28:56 - Use of drones and photogrammetry in construction surveying30:44 - Successful case of automation in waste management and AI-powered voice agents32:29 - Building a company culture that embraces change and innovation35:12 - The future of AGI and ongoing AI developments36:11 - The importance of naivety and resilience in technological progress38:05 - Industry risks, regulation lag, and the wild west of AI development41:36 - Recommended resources: Ryan Holiday’s "The Obstacle is the Way"44:01 - Closing thoughts and how to connect with Phil ChellLinks and Stuff:Website: https://www.herawaterproofing.co.uk/  ORhttps://www.chironai.co.uk/LinkedIn:  Follow Phil on Linked InEpisode sponsored by Movar:https://movar.group/services/tech-and-dataSupport the showSubscribe to the Project Flux Newsletter!All our podcasts commentate on the weeks hottest news brought to you by the Project Flux Newsletter! Get a step ahead on the world of AI and tech, subscribe and get the weekly newsletter to your inbox every Monday!Sign Up to Newsletter Project Flux is independently owned, funded, and operated by its founder. Any external references or features are for community benefit only and do not imply endorsement, control, or ownership.

Send us Fan MailEpisode DescriptionIn 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 managementChapters00:00 Welcome Back and Introduction to Nodes and Link01:39 Evolution of Nodes and Link: From Scheduling Tool to AI Expert04:45 Partnership with Oracle: Shaping the Future of Construction07:24 Shared Values and Principles in Business08:40 The Importance of Auditability in AI11:15 The Role of AI in Project Management13:40 Industry Fallacies and Lessons Learned17:20 The Challenge of Non-Software Companies18:41 Emerging Dynamics in Software Development22:16 New Features: Autopilot and Ground Truth Models27:41 The Legal Accountability of AI29:58 The Future of AI Autonomy32:12 The Rise of Humanoid Robotics33:50 Implicit Knowledge and AI36:35 The Future of Project Management Technology41:53 Transformations in Professions and Mindsets49:56 Unleash the Code Intro.wavResources & Links:LinkedIn:  https://www.linkedin.com/in/greg-lawton-3545497b?utm_source=share_via&utm_content=profile&utm_medium=member_iosWebsite: https://nodeslinks.com/Support the showSubscribe to the Project Flux Newsletter!All our podcasts commentate on the weeks hottest news brought to you by the Project Flux Newsletter! Get a step ahead on the world of AI and tech, subscribe and get the weekly newsletter to your inbox every Monday!Sign Up to Newsletter Project Flux is independently owned, funded, and operated by its founder. Any external references or features are for community benefit only and do not imply endorsement, control, or ownership.

Send us Fan MailProcure Pro Secures $15 Million: A New Era in Construction InnovationDiscover 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 industryThe evolution of AI in construction tech and the shift from pilots to strategic implementationHow Procure Pro's platform reduces manual work with real-time data and AI-powered decision makingThe future of procurement: automating models similar to insurance comparison sitesThe importance of deterministic systems and trustworthy AI for critical project dataManaging complex feature interdependencies through dedicated product squadsThe role of governance and permissions in enterprise AI deploymentThe strategic approach to hiring engineers in an AI-driven industryInsights on scaling operations and valuing control and visibility in project managementTimestamps:00:00 - Introduction to Alistair Blenkin and Procure Pro's funding success00:42 - Recent funding announcement and industry implications01:31 - Key drivers of Procure Pro’s growth: AI, process, and global expansion03:07 - AI evolution in construction tech: from pilots to structured strategies04:43 - How AI is transforming procurement decision making05:16 - The shift from manual spreadsheets to AI-automated workflows06:09 - Comparing AI tools like Claude and ChatGPT for construction use cases07:00 - Benefits and challenges of narrow AI solutions in procurement07:18 - Data collection at procurement stage and its future potential08:01 - Defining procurement in construction and its digital transformation09:23 - Decision-making risks and the importance of structured data10:13 - Future of procurement: from automation to reinventing the model11:23 - The vision for real-time, programmatic supply chain pricing12:19 - Automating quotes comparisons while maintaining human oversight13:00 - The long-term view on AI and data readiness for construction14:24 - Opportunities in orchestration and risk detection with AI agents15:37 - Developing AI copilot features for project management16:42 - The human element in AI-led procurement and negotiation17:35 - Costs of AI agents and maintaining human connections18:58 - The importance of responsibility and "bookending" in AI workflows19:10 - Building trust through deterministic systems and industry standards20:34 - Funding details: differences in currency reporting and validation21:08 - Lessons from early funding pitches and adapting messaging for investors22:27 - Rapid change in tech and construction projects driven by AI23:52 - Big vision: data networks and industry-wide AI ecosystems24:35 - Growth and revenue milestones emphasizing efficiency25:21 - Building deterministic systems into Procure Pro’s architecture27:01 - The evolving role of engineers with AI automation28:25 - Redefining job descriptions and AI’s role in engineering teams29:51 - Managing interdependent workflows with dedicated product squads32:00 - Technical infrastructure: APIs, integrations, and middleware33:19 - Governance, permissions, and enterprise-grade security measures35:31 - Data search and retrieval: leveraging natural language and permission controls36:07 - The future of AI storytelling: confidence in a new wave of technology37:39 - Connecting AI modules: from quote leveling to procurement workflows38:10 - API development and integration capabilities39:09 - Final advice for contractors: control, visibility, and early risk detection44:32 - Key takeaways: visibility and control as industry imperatives45:34 - Final thoughts and encouragement for industry innovatorsResources & Links:Procure Pro Official WebsiteAlastair Blenkin on LinkedInEpisode 42 of Project Flux with AlastairClaude.aiChatGPTSupport the showSubscribe to the Project Flux Newsletter!All our podcasts commentate on the weeks hottest news brought to you by the Project Flux Newsletter! Get a step ahead on the world of AI and tech, subscribe and get the weekly newsletter to your inbox every Monday!Sign Up to Newsletter Project Flux is independently owned, funded, and operated by its founder. Any external references or features are for community benefit only and do not imply endorsement, control, or ownership.

Send us Fan MailDive 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 TOPICSNikki’s career journey from EY to AI entrepreneurship and her unique interdisciplinary approachThe divide between technology’s speed and humans’ ability to adapt, and how Flipwork aims to bridge that gapIndustry-specific challenges and opportunities with AI disruption, from regulated sectors to SaaSReimagining work: from effort-based productivity to creativity, fulfillment, and organizational cultureThe concept of reallocation of AI-generated capacity towards innovation and human-centric workThe importance of skills like orchestration of AI agents, resource planning, and leadership in hybrid human-AI teamsThe role of emotional intelligence, setting context, and reframing leadership in an AI-enabled workspaceCapabilities and pitfalls of AI energy use, compute resource allocation, and technological convergencePractical tools like FlipFactor for AI readiness assessment at enterprise and small business levelsImpact of AI on identity, imposter syndrome, and expanding human agency and purposeThe craft of genuine original content and craftsmanship as a differentiator in the proliferation of AI-generated outputsThe evolving struggle: removing mundane labor, emphasizing higher-value creative pursuits, and avoiding superficial challengesRecommendations for insightful newsletters and podcasts, with highlights like David Senra’s deep dives and Lex Friedman’s rigorFuture visions: abundance, societal purpose, and the importance of human passion and curiosity in an AI-empowered worldTIMESTAMPS00:00 - Welcome and episode overview with Nikki Barua00:16 - Nikki’s background and journey into AI and transformation00:54 - The intersection of strategy, tech, and human adaptation01:37 - The rapid pace of tech change versus human resilience02:07—Why Flipwork exists to bridge the AI-human divide03:32 - Rewiring mindsets for AI adaptation and leadership04:17 - Connecting the dots across diverse career experiences04:41 - Industry disruption: challenges and opportunities05:11 - Navigating regulations in sectors like banking and healthcare06:15 - The evolving definition of human work and skills06:50 - Expanding human creativity and fulfilling work in AI age07:36 - Measuring success beyond productivity: retention and fulfillment08:04 - Reallocation of AI-driven capacity to innovation09:04 - Raising the bar: excellence and mastery in the AI era09:31 - Fulfillment through operating in the zone of genius10:16 - The evolution of creativity and idea proliferation10:32 - Energy and compute capacity challenges in AI scaling11:07 - How resources flow toward high-value industries11:38 - Capital and energy infrastructure for AI expansion12:36 - The convergence of AI tools and specialization paths13:03 - The rise of AI agents and resourcefulness13:31 - The importance of imagination and bravery in execution14:16 - Orchestrating multiple AI agents and resource planning15:08 - The impact on leadership, hybrid teams, and management practices16:16 - The shift from command-and-control to context setting17:14 - Emotional intelligence Links and Resources:Nikki Barua's Website:https://www.nikkibarua.comLinkedIn - Nikki Barua:https://www.linkedin.com/in/nikkibarua/David Senra — Founders Podcast:https://www.founderspodcast.comLex Fridman Podcast:https://lexfridman.com/podcastFlipWork (Company):https://www.flipwork.aiSupport the showSubscribe to the Project Flux Newsletter!All our podcasts commentate on the weeks hottest news brought to you by the Project Flux Newsletter! Get a step ahead on the world of AI and tech, subscribe and get the weekly newsletter to your inbox every Monday!Sign Up to Newsletter Project Flux is independently owned, funded, and operated by its founder. Any external references or features are for community benefit only and do not imply endorsement, control, or ownership.

Send us Fan MailSummaryMax Sebci discusses decentralized AI, collective intelligence, and their application in sports analytics, especially football. The conversation covers the potential of crowd-sourced AI models, computer vision, and the future of AI in democratizing sports data and grassroots opportunities.Key TopicsDecentralized AI and collective intelligenceApplication of computer vision in sportsAI democratization and grassroots opportunitiesChapters00:00 Introduction to Collective Intelligence and Decentralized AI03:25 The Power of the Crowd in Problem Solving08:07 Challenges of Centralized vs. Decentralized AI09:54 Building Efficient AI Models12:35 Understanding Computer Vision14:11 Score: Revolutionizing Sports Intelligence18:43 Partnership with Reading FC and Use Cases21:19 Integrating Data and Human Insight in Football24:04 Leveraging Open Source for Football Clubs25:30 The Quest for Performance Metrics in Football26:47 Simulating Football Matches: The Digital Twin Concept27:27 Understanding Human Behavior in Team Dynamics28:10 Data-Driven Insights in Project Delivery30:28 Inversion and Mental Models in AI32:16 The Role of Computer Vision in AI Development33:58 Transparency and Trust in AI Models35:33 Cultural Perceptions of AI and Data Security36:56 Multimodality and Memory in AI Systems39:29 The Future of Work in an AI-Driven World42:32 Democratizing Football Intelligence44:56 Unleash the Code 1 Second.mp344:59 james .mp445:37 Exploring Key Themes in Project Flux45:59 Unleash the Code Intro.wavSupport the showSubscribe to the Project Flux Newsletter!All our podcasts commentate on the weeks hottest news brought to you by the Project Flux Newsletter! Get a step ahead on the world of AI and tech, subscribe and get the weekly newsletter to your inbox every Monday!Sign Up to Newsletter Project Flux is independently owned, funded, and operated by its founder. Any external references or features are for community benefit only and do not imply endorsement, control, or ownership.

Send us Fan MailSummaryIn this episode, Ben Lee, head of AI at Bidwells, shares his journey from real estate to AI leadership, exploring how AI is transforming industries, the importance of domain expertise, and the future of AI and AGI. Discover practical insights on adopting AI, managing organizational change, and the ethical considerations surrounding AI development.Key TopicsBen Lee's background and journey into AIThe impact of AI on real estate and industryBuilding AI literacy and organizational adoptionEthical considerations and governance in AIFuture trends and the path to AGIChapters00:00 Introduction to AI and Data Roles02:20 Ben Lee's Background and Journey in Real Estate06:09 The Impact of AI on Communication and Productivity10:01 Building Trust and Momentum in AI Adoption13:52 Bridging the Gap Between Technology and Real Estate17:20 AI's Role in Restructuring Job Functions21:20 Collaborative Approaches to AI Integration23:55 Navigating the AI Acceptance Journey26:43 The Balance of AI and Human Experience27:48 Addressing Job Displacement Concerns29:51 The Future of AI Tools in the Workplace34:32 The Consumer's Role in AI Evolution37:39 Defining AGI and Its Implications41:02 Personal Experiences with AI Integration47:25 Unleash the Code 1 Second.mp347:28 james .mp448:05 Introduction to Project Flux48:05 Exploring Key Themes in Project Flux48:16 Introduction to Project Flux and AI Gap49:17 Exploring Project Flux Pro and Its Benefits49:20 Unleash the Code Intro.wavSupport the showSubscribe to the Project Flux Newsletter!All our podcasts commentate on the weeks hottest news brought to you by the Project Flux Newsletter! Get a step ahead on the world of AI and tech, subscribe and get the weekly newsletter to your inbox every Monday!Sign Up to Newsletter Project Flux is independently owned, funded, and operated by its founder. Any external references or features are for community benefit only and do not imply endorsement, control, or ownership.

Send us Fan MailThis is a free highlights reel from Project Flux Pro — our subscriber-only podcast for serious AEC, Project Delivery + AI watchers. The full, unfiltered episode is exclusive to Pro members.👉 Subscribe at www.projectflux.ai to unlock the complete episode plus monthly deep dives, the back catalogue, and much more.What you'll hear in this highlight reelA fast-moving cut of the biggest moments from Episode 2, covering:The autonomy threshold — AI agents are finally doing real work without hand-holding. We unpack what Anthropic, Perplexity and Claude are pulling off right now, and where it still falls over.The model wars are here — Mythos vs GPT-6, the noise around Spud, and why the frontier might not be where the action is.Construction's consolidation moment — the acquisitions and mergers quietly redrawing the lines between tech and the built environment.Safety, alignment and breach risk — the conversations the industry isn't having loudly enough, and why "human in the loop" is more than a slogan.Practical, today-useful AI — scheduling, file management, longitudinal data — the unsexy wins compounding fastest.Policy & sovereignty — the UK's sovereign AI fund and what international collaboration actually looks like.Plus heads-up on PCG Fight Night (16 May, online) and the Autodesk Conference in Amsterdam.Want the full episode?This is around 10% of what we covered. The complete conversation — including the deeper takes on model safety, the human-in-the-loop framework, the epoch model of AI leadership, and our full industry analysis — is exclusive to Project Flux Pro subscribers.🎧 Subscribe at www.projectflux.aiPro gets you:Full-length monthly Pro episodes (this is just a taster)The complete back catalogueExclusive Blog Posts & Deep ResearchEarly Access to All New ContentMonthly AI Tool Reviews & GuidesMonthly Live AMA and Expert SessionsPrivate Pro Community (Whats AppEvents mentionedPCG Fight Night — 16 May, online live eventAutodesk Conference — Amsterdam, next weekStay connectedGot feedback, guest ideas, or topics you want us to dig into? Reply to any Project Flux email or drop us a line via projectflux.ai. We read everything.Support the showSubscribe to the Project Flux Newsletter!All our podcasts commentate on the weeks hottest news brought to you by the Project Flux Newsletter! Get a step ahead on the world of AI and tech, subscribe and get the weekly newsletter to your inbox every Monday!Sign Up to Newsletter Project Flux is independently owned, funded, and operated by its founder. Any external references or features are for community benefit only and do not imply endorsement, control, or ownership.

Send us Fan MailSummaryIn this insightful interview, Alistair Godbold, a seasoned project management expert, shares his perspectives on the impact of AI on project delivery, the importance of human skills, and how the profession can adapt to technological changes. Discover how curiosity, creativity, and ethical considerations will shape the future of project management in an AI-driven world.Key TopicsImpact of AI on project managementThe importance of human skills and creativityAdapting to technological change in projectsAction ItemsFocus on outcomes rather than processesDevelop AI literacy and critical thinking skillsMove up the value chain by enhancing human skillsChapters00:00 Introduction and Guest Introduction02:00 Alistair's Background and Perspectives on Technology03:18 Hope and Worries for Future Project Professionals04:42 Lessons from Early Career and Curiosity05:41 The Role of Learning and AI in Knowledge Acquisition06:21 A Fundamental Mistake in Project Delivery07:21 The Limitations of Process and Logic08:39 Human Qualities in Change Management09:45 AI's Support in Project Stages11:15 The Human Element in AI-Driven Projects11:47 Impact on Other Industries and Future Skills12:36 Experience and Skills for Future Architects13:46 Gamification and Experience Building14:31 Human Skills in the Age of AI15:36 Control, Complexity, and Adaptability16:12 Balancing Control and Flexibility17:23 Control and Bias in Project Management18:48 Probing and Eliciting Emergent Behavior in AI19:55 The Inflection Point of AI Adoption21:00 Risks of Fizzling Out or Fading Away21:44 Historical Parallels: Steam, Internet, and AI23:13 Market Pressure and AI Investment24:34 Building Infrastructure for AI25:35 Cultivating Critical Thinking in an AI World26:27 The Importance of Memory and Questioning27:32 Connecting and Reasoning with AI28:15 Moving Up the Value Chain as a Project Professional29:53 The Future Skills of Project Managers31:10 Resistance and Change Management32:20 Balancing Certainty and Uncertainty32:44 The Next Generation's Adaptability33:27 The Speed of Technological Change34:25 Societal and Workplace AI Integration35:25 The Role of AI in Society and Work35:58 Job Displacement and AI Washing37:12 The Future of Success in Society and Projects38:08 Inspirations and Recommended Reads40:17 The Power of Philosophy and Critical Thinking40:58 Final Advice and Closing Remarks42:23 Unleash the Code 1 Second.mp342:26 james .mp443:04 Exploring Key Themes in Project Flux43:26 Unleash the Code Intro.wavSupport the showSubscribe to the Project Flux Newsletter!All our podcasts commentate on the weeks hottest news brought to you by the Project Flux Newsletter! Get a step ahead on the world of AI and tech, subscribe and get the weekly newsletter to your inbox every Monday!Sign Up to Newsletter Project Flux is independently owned, funded, and operated by its founder. Any external references or features are for community benefit only and do not imply endorsement, control, or ownership.

Send us Fan MailIn this episode, we delve into how AI impacts construction and project management, exploring whether it's a tool or a threat, and how culture influences its adoption. Experts discuss technology's effect on jobs, efficiency, and human involvement.Main Topics:Culture's role in AI adoptionAI as a tool vs. a job threatStructural vs. cultural challenges in AI implementationKey Insights:Organizational culture significantly affects AI integrationAI can automate tasks but requires trust and oversightHistorical parallels show initial skepticism of new techInvesting in people and collaboration is crucialTimestamps:  00:00 - Opening remarks 03:20 - Debate: Culture enabling AI adoption 19:54 - Debate: AI as a tool, not a job replacer 38:28 - Debate: AI's effect on project delivery quality 54:46 - Reflections on technology's complexities 66:12 - Final reflections on culture and changeResources & Links:Project Flux PodcastProject Chatter PodcastGen AI Podcast Connect with the Speakers:Ronald Dyer - LinkedInAndrew Knight - LinkedInLisa Silander - LinkedInMarco Frisenda - LinkedInSarah Crawley  - LinkedInKashan Ratyal - LinkedIn Note: The debates reflect diverse perspectives and encourage ongoing inquiry into technology's role in shaping industry futures.Support the showSubscribe to the Project Flux Newsletter!All our podcasts commentate on the weeks hottest news brought to you by the Project Flux Newsletter! Get a step ahead on the world of AI and tech, subscribe and get the weekly newsletter to your inbox every Monday!Sign Up to Newsletter Project Flux is independently owned, funded, and operated by its founder. Any external references or features are for community benefit only and do not imply endorsement, control, or ownership.

Send us Fan MailSummaryIn this episode, Matthew Carr, CEO at Luffy AI discusses the cutting-edge of AI control technology, neuroplasticity, and their applications in industry, robotics, and sustainability. He shares insights into real-time AI, energy efficiency, and the future of AI models, emphasizing practical impacts and innovations.Key TopicsReal-time AI control and latency importanceNeuroplasticity and adaptive learning in AIEnergy efficiency and sustainability through AIApplications of AI in robotics and industryFuture trends in AI models and societal impactChapters00:00 Introduction to Matt Carr and Luffy AI01:06 Matt's Journey in Renewable Energy and Fusion Technology03:57 The Gap in AI: Real-Time Control Technologies07:01 Understanding Real-Time Control and Latency in AI09:50 Neuroplasticity and Self-Adaptive AI Controllers13:50 The Future of AI in Project Delivery and Industry17:33 The Role of AI in Reducing Project Failures and Costs22:29 Innovations in Robotics and Drones24:00 Granular Control in AI Systems26:00 The Future of AI Models30:40 AI and Sustainability37:57 Balancing Short-term and Long-term Innovations44:50 Unleash the Code Intro.wavConnect with our guestLuffy AI Websitehttps://www.linkedin.com/in/matthewncarr/Support the showSubscribe to the Project Flux Newsletter!All our podcasts commentate on the weeks hottest news brought to you by the Project Flux Newsletter! Get a step ahead on the world of AI and tech, subscribe and get the weekly newsletter to your inbox every Monday!Sign Up to Newsletter Project Flux is independently owned, funded, and operated by its founder. Any external references or features are for community benefit only and do not imply endorsement, control, or ownership.

Send us Fan MailSummaryIn this episode, Pip Morpeth, CEO of Method Grid, discusses how AI is transforming project delivery, closing productivity gaps, and the future of responsible AI adoption in construction, energy, and infrastructure industries.Key TopicsAI-driven project managementClosing productivity gaps with AIBuilding smarter ways of workingResponsible AI and trust in technologyChapters00:00 Introduction to Method Grid and AI Integration03:18 Navigating the SaaS Landscape and Innovation Challenges06:59 Quality Assurance and AI: Overlooked Opportunities09:38 The Impact of AI on Productivity and Quality12:20 AI Washing: Understanding Real vs. Faux AI15:29 Trust and Competition in AI Development17:53 Misunderstandings About AI and Its Complexity21:14 Future Perspectives on AI Development49:32 Unleash the Code 1 Second.mp349:35 james .mp450:12 Exploring Key Themes in Project Flux50:21 Introduction to Project Flux50:21 Exploring the Core Principles of Project Management50:35 Unleash the Code Intro.wavSupport the showSubscribe to the Project Flux Newsletter!All our podcasts commentate on the weeks hottest news brought to you by the Project Flux Newsletter! Get a step ahead on the world of AI and tech, subscribe and get the weekly newsletter to your inbox every Monday!Sign Up to Newsletter Project Flux is independently owned, funded, and operated by its founder. Any external references or features are for community benefit only and do not imply endorsement, control, or ownership.

Send us Fan MailSummaryAlice Graham, a Solutions Specialist at Procore, shares her journey from quantity surveying to tech, exploring the impact of AI and digital transformation in construction. This episode delves into the challenges, opportunities, and future of AI regulation, data ownership, and industry innovation.Key TopicsAI and digital transformation in constructionData ownership and industry regulationAdoption of technology in quantity surveyingChapters00:00 Introduction to Alice Graham and Her Journey02:54 The Transformation of Cost Management in Construction05:51 The Role of Technology in Quantity Surveying08:39 Data Ownership and Psychological Safety in Cost Management11:27 Challenges in Technology Adoption for Quantity Surveyors14:14 The Impact of AI and Regulation in the Industry24:10 Exploring the Dual Nature of AI in Creativity25:48 AI as a Tool: Perspectives and Implications28:37 The Future of AI: Beyond Just a Tool30:19 AI's Historical Context and Its Evolution31:57 Personalization and Privacy in AI34:28 Blurring Lines: Personal and Work AI Dynamics36:40 The Impact of AI on SaaS and Business Models42:04 The Future of Construction: AI's Role in Project Delivery43:25 Cultural Perspectives: Speed vs. Quality in Tech46:09 Unleash the Code 1 Second.mp346:12 james .mp446:50 Exploring Key Themes in Project Flux46:59 Introduction to Project Flux46:59 Exploring the Core Principles of Project Management47:12 Unleash the Code Intro.wavConnect with our guesthttps://www.linkedin.com/in/aliceagraham?utm_source=share_via&utm_content=profile&utm_medium=member_iosSupport the showSubscribe to the Project Flux Newsletter!All our podcasts commentate on the weeks hottest news brought to you by the Project Flux Newsletter! Get a step ahead on the world of AI and tech, subscribe and get the weekly newsletter to your inbox every Monday!Sign Up to Newsletter Project Flux is independently owned, funded, and operated by its founder. Any external references or features are for community benefit only and do not imply endorsement, control, or ownership.

Send us Fan MailSummaryIn this episode, AI expert Ben Tasker discusses the rapid evolution of AI, workforce transformation, upskilling strategies, and the future impact of AI on various industries. Gain insights into managing AI adoption and preparing for the AI-driven future.Key TopicsAI rapid evolution and updatesWorkforce upskilling and reskillingAI adoption challenges and opportunitiesChapters00:00 Introduction to AI Landscape and Overwhelm02:53 The AI Between Times: Structural Changes in Work05:42 Workforce Transformation: Upskilling and Reskilling08:40 Understanding the Capability Gap in AI Adoption11:09 Skills and Capability Assessments for AI14:07 Creating a Learning Culture in Organizations16:54 Balancing AI Adoption and Cultural Resistance19:47 Navigating Radical Innovation in AI Usage22:35 The Future of Work and AI Skills27:59 AI's Impact on Job Roles and Industries31:53 The SaaS Landscape and AI Integration38:12 Navigating the AI-Driven Future43:06 james .mp443:46 Engagement and Community Building43:59 Introduction to Project Flux43:59 Exploring the Core Principles of Project Management44:17 Unleash the Code Intro.wavConnect with our guesthttps://www.bentaskerai.com/Support the showSubscribe to the Project Flux Newsletter!All our podcasts commentate on the weeks hottest news brought to you by the Project Flux Newsletter! Get a step ahead on the world of AI and tech, subscribe and get the weekly newsletter to your inbox every Monday!Sign Up to Newsletter Project Flux is independently owned, funded, and operated by its founder. Any external references or features are for community benefit only and do not imply endorsement, control, or ownership.

Send us Fan MailSummaryIn this insightful interview, Mohammad Shana'a, CEO of Morta, discusses how their platform is transforming construction project management through data integration, trust-building, and AI. Discover how Morta's bottom-up approach is creating industry-wide trust and efficiency, and explore the future role of AI in construction.Key Topics♦️ Trust is the constraint: Most construction failures trace back to fragmented, unreliable data — not capability gaps. Transparency is the fix. ♦️ Admin work is the silent killer: Automating menial tasks isn't about efficiency for its own sake — it's about returning professionals to strategic thinking. ♦️ Data integrity before AI: Deploying AI on bad data compounds errors. Getting foundations right is the unglamorous prerequisite no one wants to talk about. ♦️ Bottom-up beats top-down: Lasting digital change in construction starts with the people who actually run workflows — not mandates from above.Chapters00:00 Introduction to Morta and Mo Shanna03:17 User Experience and Project Management Solutions06:17 AI's Role in Project Delivery09:13 Trust Issues in the Construction Industry11:49 The Impact of AI on Trust and Data Management14:38 Navigating AI Use Cases in Construction17:38 Balancing Automation and Human Oversight24:46 The Importance of Information in AI26:08 Managing Information Overload and Hallucinations27:50 The Shift from Excel to Structured Data29:31 Navigating Point Solutions vs. No-Code Platforms31:34 The Challenge of Collaboration in Construction34:07 Weaning Off Excel: A Gradual Process36:58 Bottom-Up vs. Top-Down Approaches in Adoption43:45 AI Tools for Organizational Knowledge45:48 The Need for Automated Tracking and ReportingSupport the showSubscribe to the Project Flux Newsletter!All our podcasts commentate on the weeks hottest news brought to you by the Project Flux Newsletter! Get a step ahead on the world of AI and tech, subscribe and get the weekly newsletter to your inbox every Monday!Sign Up to Newsletter Project Flux is independently owned, funded, and operated by its founder. Any external references or features are for community benefit only and do not imply endorsement, control, or ownership.

Send us Fan MailSummaryIn this episode, Kat Wendelstadt, leading marketing at Electric Twin, discusses the innovative use of AI in creating synthetic audiences for market research. She shares insights into the mechanics, ethical considerations, and future potential of AI-driven human behavior modeling, highlighting how these tools can revolutionize decision-making across industries.Key TopicsAI-driven synthetic audiencesData science and social science integrationEthical considerations in AI modelingChapters00:00 Introduction to Electric Twin and AI02:44 The Mechanics of Synthetic Audiences05:23 Origin Story of Electric Twin08:09 Ethics and Safety in AI10:51 Applications in Niche Markets13:34 Surprising Insights from Synthetic Audiences16:19 Validation of AI Insights19:16 Complementary Role of AI in Research21:58 Future of Electric Twin and Accessibility22:25 Expanding Horizons: Global Reach and Future Plans23:45 Navigating Market Strategies: The Art of Timing26:54 Adapting to AI: The Future of Consumer Search30:53 Data Privacy and Consumer Trust: The New Normal33:32 Personal Growth: Tools and Recommendations for Success37:34 Design and Creativity: The Human Touch in Tech41:33 Unleash the Code 1 Second.mp341:36 james .mp442:13 Exploring Key Themes in Project Flux42:22 Introduction to Project Flux42:22 Exploring the Core Principles of Project Management42:36 Unleash the Code Intro.wavSupport the showSubscribe to the Project Flux Newsletter!All our podcasts commentate on the weeks hottest news brought to you by the Project Flux Newsletter! Get a step ahead on the world of AI and tech, subscribe and get the weekly newsletter to your inbox every Monday!Sign Up to Newsletter Project Flux is independently owned, funded, and operated by its founder. Any external references or features are for community benefit only and do not imply endorsement, control, or ownership.

Send us Fan MailSummaryUnlocking the Power of AI: Strategies from an Industry Educator In this episode, we sit down with Paul Carney, founder of Ishtot and an AI educator, to explore practical approaches to mastering AI and transforming from a casual dabbling into a confident doer. Discover insights on effective prompting, structuring projects, overcoming adoption barriers, and understanding AI's true capabilities.Key Topics:The importance of structured prompts and templates for consistent AI resultsHow to shift from dabbling to doing with AI through profiles and data sheetsThe role of emotional intelligence (EQ) and adaptability in human-AI interactionUnderutilized features like project management in ChatGPT for personal and business useHow to identify and mitigate AI biases and bad assumptionsThe future of AI technology: hype vs. real potential, including browser-based modelsPractical tips for staying current in the rapidly evolving AI landscapePersonal stories on innovating with AI in education and industryThe significance of documenting and sharing AI processes within organizationsEmerging trends: AI in higher education, ethical considerations, and energy sustainabilityTimestamps:00:00 - Introducing Paul Carney and the mission of demystifying AI02:05 - Why structured prompts are key to effective AI use08:50 - Staying ahead in the fast-moving AI space13:02 - Common pitfalls in AI project management and templates15:18 - Spotting and correcting AI's bad assumptions17:39 - The impact of emotional intelligence on human-AI interactions20:05 - Avoiding bias and ensuring AI fairness24:29 - Hype versus reality: AI browser tools and models35:28 - The future of AI in education and how universities can adapt44:07 - Personal passions: Wine Tasting Fridays and building communityResources & Links:Ishtot – AI education and consultingNotebookLM – Google’s advanced note-taking AI toolChatGPT Custom Instructions – How to set structured promptsAI Clatch – Online community for AI learningClaude by Anthropic, Google Bard—Emerging AI modelsSonic Boom – Next-gen supersonic aircraft powered by natural gas enginesLinkedIn: Paul CarneyConnect with Paul Carney:LinkedInAI Clatch CommunityFollow his wine tasting Fridays for engaging insights and community fun!Additional Notes:Focus on building AI proficiency through templates, structured prompts, and projectsRecognize the importance of emotional intelligence and adaptability when working with AIBe aware of hype surrounding new tools, and focus on proven, impactful featuresChallenge assumptions and leverage AI to enhance learning and decision-making processesContinuous experimentation and documenting best practices are crucial to progressThanks for listening! Don’t forget to follow Support the showSubscribe to the Project Flux Newsletter!All our podcasts commentate on the weeks hottest news brought to you by the Project Flux Newsletter! Get a step ahead on the world of AI and tech, subscribe and get the weekly newsletter to your inbox every Monday!Sign Up to Newsletter Project Flux is independently owned, funded, and operated by its founder. Any external references or features are for community benefit only and do not imply endorsement, control, or ownership.

Send us Fan MailSummaryIn this inspiring interview, Cydnie Thompson shares her journey from South London to Germany, overcoming personal hurdles and embracing AI to empower women entrepreneurs worldwide. The conversation explores AI's potential for equality, systemic barriers, and the ethical considerations of technological power.Key TopicsCydnie Thompson's personal journey and mindset shiftThe confidence gap and imposter syndrome among women in techThe role of AI in empowering underrepresented women entrepreneursSystemic barriers and the potential of AI to address inequalityEthical considerations and the future impact of AI on societyChapters00:00 Introduction to Sid Thompson and Her Journey06:09 Empowering Women Entrepreneurs with AI11:52 The Confidence Gap in Tech and AI17:35 Building Community and Support for Women in AI23:13 AI as a Tool for Equality and Sustainability28:40 The Future of AI and Its Global Impact29:29 India's AI Curriculum and Global Energy Needs31:28 World Leaders and AI Agendas32:58 The Influence of Tech Companies34:45 Empowerment in the Age of AI37:23 Generational Perspectives on AI38:46 Recommended Reads and AI Tools47:36 james .mp448:17 Exploring Key Themes in Project Flux48:26 Introduction to Project Flux48:26 Exploring the Core Principles of Project Management48:39 Unleash the Code Intro.wavLinks and StuffHere is our sponsor Morta's website link: morta.ioSupport the showSubscribe to the Project Flux Newsletter!All our podcasts commentate on the weeks hottest news brought to you by the Project Flux Newsletter! Get a step ahead on the world of AI and tech, subscribe and get the weekly newsletter to your inbox every Monday!Sign Up to Newsletter Project Flux is independently owned, funded, and operated by its founder. Any external references or features are for community benefit only and do not imply endorsement, control, or ownership.

Send us Fan MailSummaryThis episode explores the transformative impact of AI on the Quantity Surveying profession, emphasizing responsible use, data-driven decision making, and future skills. Experts Kudirat Ayinla and Abdullahi Saka share insights on AI adoption, ethical considerations, and how QS professionals can stay ahead in a rapidly evolving landscape.Key TopicsAI's impact on QS professionResponsible use and ethics of AIData literacy and structured data importanceEvolving role of QS as digital advisorsStrategies for AI adoption in constructionChapters00:00 Introduction to AI for QS Report02:16 The Role of AI in the Construction Industry05:48 Sustainability and AI: A Balancing Act11:47 Challenges in AI Adoption within QS Profession18:30 AI Readiness and Competency Framework23:01 The Evolving Role of Quantity Surveyors28:31 AI in Construction: Building Trust and Oversight30:39 Establishing AI Governance in Organizations33:11 The Necessity of AI in Quantity Surveying37:07 Balancing AI Use and Foundational Skills in Education44:56 The Future of Quantity Surveying: Embracing Change and Innovation50:23 Unleash the Code 1 Second.mp350:26 james .mp451:04 Exploring Key Themes in Project Flux51:15 Exploring the Core Principles of Project Management51:29 Unleash the Code Intro.wavGet the Report https://ai4qs.com/AI4QS-Report-2025.pdfFind out more about AI4QS - https://ai4qs.com/resourcesSupport the showSubscribe to the Project Flux Newsletter!All our podcasts commentate on the weeks hottest news brought to you by the Project Flux Newsletter! Get a step ahead on the world of AI and tech, subscribe and get the weekly newsletter to your inbox every Monday!Sign Up to Newsletter Project Flux is independently owned, funded, and operated by its founder. Any external references or features are for community benefit only and do not imply endorsement, control, or ownership.

Send us Fan MailSummaryThis interview explores the rapid evolution of AI in construction and architecture, focusing on how AI can transform design, optimize processes, and address industry challenges. Diego Padilla Phillips shares insights on multi-objective optimization, the linear nature of current workflows, and the future potential of AI to foster innovation and sustainability. In this insightful interview, industry experts discuss the future of architecture, AI, and construction. Topics include sustainable design, AI's role in project delivery, and the evolving skills of engineers and architects.Key TopicsAI-driven multi-objective optimization in designThe linear and siloed nature of current construction workflowsThe potential of AI to foster innovation and creativityChallenges and opportunities in adopting AI in constructionThe future of sustainable and efficient building design AI's role in sustainable architectureThe evolution of engineering skills in the AI eraFuture construction technologies and roboticsChapters00:00 Introduction to Decarbonization and Innovation02:59 Innovation Beyond Gradual Improvements05:55 Eureka Moments in Design and AI08:41 Challenges of Working in Silos11:39 The Limitations and Misconceptions of AI14:39 Job Displacement: AI as a Tool for Professionals18:32 The Future of Design: AI's Role in Building Usage21:42 Balancing Iconic Design with Practicality25:04 Sustainability and Longevity in Building Design27:25 The Future of Engineering Education28:57 Training the Next Generation of Engineers31:11 The Impact of Technology on Design Processes32:28 The Dual Nature of AI in Engineering34:43 Looking Ahead: The Future of the Industry34:45 Envisioning the Future of Architecture36:37 Designing for Efficiency and Sustainability39:35 The Role of Robotics in Construction42:26 Creativity and Human-Centered Design44:10 Adapting to Change in Engineering Education46:12 Driving Change for a Sustainable Future47:25 james .mp448:02 Unleash the Code 1 Second.mp348:05 Introduction to Project Flux48:05 Exploring Key Themes in Project Flux48:16 Introduction to Project Flux48:16 Exploring the Core Principles of Project ManagementDiego's Linked in https://www.linkedin.com/in/padilladiego/Support the showSubscribe to the Project Flux Newsletter!All our podcasts commentate on the weeks hottest news brought to you by the Project Flux Newsletter! Get a step ahead on the world of AI and tech, subscribe and get the weekly newsletter to your inbox every Monday!Sign Up to Newsletter Project Flux is independently owned, funded, and operated by its founder. Any external references or features are for community benefit only and do not imply endorsement, control, or ownership.

Send us Fan MailSummaryIn this episode, James and Yoshi explore the rapid advancements in AI, including model updates, agentic tools, and the societal implications of AI integration. They discuss the evolution of AI models, the rise of autonomous agents, and the potential future scenarios shaping our world.Key TopicsAI model evolution and benchmarksAgentic tools and skills in AISocietal and ethical implications of AIFuture scenarios of AI developmentAI in prediction markets and geopoliticsChapters00:00 Back to Basics: The Evolution of Project Flux04:35 Agentic AI: The New Frontier08:15 Claude Skills: Automating Workflows11:30 The Impact of AI on High-Value Work16:17 Trusting AI: The Human vs. Machine Dilemma20:28 Practical Applications of AI in Daily Life23:54 The Future of Prediction Markets and AI27:02 The Impact of AI on Society and Globalization30:11 The AI Investment Race31:59 The Dark Side of AI: Deepfakes and Manipulation32:54 The Future of Acting and Creativity33:50 AI's Impact on Education and Content Creation34:46 The Uncertain Future of AI Safety36:06 The Political Implications of AI Development37:29 The Arms Race: AI and Global Power Dynamics38:50 Humanoid Robots: The Next Frontier40:47 The Integration of Robots in Daily Life42:33 The Future of Construction and Robotics44:30 The Social Dynamics of Humanoid Robots45:25 Conclusion: The Exciting and Scary Future of AI45:59 Unleash the Code 1 Second.mp346:02 james .mp446:39 Unleash the Code 1 Second.mp346:43 Exploring Key Themes in Project Flux46:51 Introduction to Project Flux46:51 Exploring the Core Principles of Project Management47:04 Unleash the Code Intro.wavSupport the showSubscribe to the Project Flux Newsletter!All our podcasts commentate on the weeks hottest news brought to you by the Project Flux Newsletter! Get a step ahead on the world of AI and tech, subscribe and get the weekly newsletter to your inbox every Monday!Sign Up to Newsletter Project Flux is independently owned, funded, and operated by its founder. Any external references or features are for community benefit only and do not imply endorsement, control, or ownership.

Send us Fan MailSummaryIn this insightful interview, Jana Stella, founder of New Wave Technologies, shares her journey from oceanography and deep learning to pioneering AI applications in environmental science and offshore infrastructure. Discover how AI is transforming wave modeling, offshore wind energy, and the future of sustainable technology.Key TopicsDeep learning analogy with mirrors and maze of mirrorsAI's role in oceanography and wave modelingImpact of AI on offshore wind and infrastructureChallenges in hiring and scaling AI in environmental techFuture visions: quantum computing and AI in ocean scienceChapters00:00 Introduction to Jana Stella and New Wave Technologies02:53 Deep Learning Explained: The Mirror Analogy05:45 AI's Role in Environmental Science and Sustainability08:22 Wave Technology: Modeling and Forecasting11:12 Bridging the Gap: AI and Offshore Infrastructure14:09 Challenges in AI Implementation and Team Building16:38 The Complexity of Oceanographic Data and AI Models19:38 The Fragility of Subsea Cables and Their Importance22:25 Concluding Thoughts on AI and Environmental Impact24:37 Navigating Offshore Renewable Energy Challenges26:20 The Importance of Boldness in Project Delivery28:48 AI's Role in Transforming Industries32:48 Universal Basic Income: A Vision for the Future37:09 The Dual Nature of Technology: Good vs. Evil39:23 Personal Insights and Future Aspirations44:41 Unleash the Code 1 Second.mp344:44 james .mp445:22 Exploring Key Themes in Project Flux45:30 Unleash the Code Intro.wavSupport the showSubscribe to the Project Flux Newsletter!All our podcasts commentate on the weeks hottest news brought to you by the Project Flux Newsletter! Get a step ahead on the world of AI and tech, subscribe and get the weekly newsletter to your inbox every Monday!Sign Up to Newsletter Project Flux is independently owned, funded, and operated by its founder. Any external references or features are for community benefit only and do not imply endorsement, control, or ownership.

Send us Fan MailSummaryIn this episode of the Project Flux podcast, James and Yoshi engage with Mike Palladino, a transformational leader and agile expert, discussing the evolving landscape of AI in project management. They explore the common threads in how organizations react to AI, the differences between corporate and non-profit perspectives, and the importance of the human element in AI implementation. The conversation delves into the hype cycle surrounding AI, the evolution of jobs in the age of automation, and the limitations of AI in decision-making. They also touch on the significance of agile methodologies and the future of human interaction with AI, emphasizing the need for continuous learning and adaptation in a rapidly changing environment.TakeawaysThe nervousness about AI stems from the rapid rate of change.Corporate and non-profit sectors have different paces and mindsets regarding AI.AI can help automate mundane tasks but may not fully replace human roles.The hype cycle of AI often leads to inflated expectations and subsequent disappointments.Job roles will evolve, but new opportunities will arise alongside AI advancements.AI's decision-making capabilities are limited by its training data and context understanding.Agile methodologies are essential for adapting to the fast-paced changes brought by AI.The human experience is crucial in project management and should not be overlooked in AI implementations.Continuous learning and exploration of new ideas are vital for growth in the AI landscape.Cohesiveness in culture is diminishing due to echo chambers created by technology. Chapters00:00 Introduction to Mike Palladino02:23 Navigating Change: The Impact of AI on Project Delivery03:39 Corporate vs Non-Profit: Understanding Different Paces05:08 The Role of AI in Non-Profit Organizations06:48 The Hype Cycle of AI: Expectations vs Reality09:35 The Human Element in AI and Project Delivery12:06 The Future of Jobs: Adapting to Change17:42 Rethinking Engineering Solutions: The People Question23:48 Agile Mindset: Beyond the Buzzword26:16 Navigating Agile in an AI-Driven World28:53 The Limitations of AI in Decision Making31:41 The Human Experience vs. AI Efficiency34:29 Understanding AI's Decision-Making Process38:26 The Importance of Learning and Exploration42:13 Cultural Impacts of AI and Technology47:29 Unleash the Code 1 Second.mp347:32 james .mp448:32 Unleash the Code Intro.wavSupport the showSubscribe to the Project Flux Newsletter!All our podcasts commentate on the weeks hottest news brought to you by the Project Flux Newsletter! Get a step ahead on the world of AI and tech, subscribe and get the weekly newsletter to your inbox every Monday!Sign Up to Newsletter Project Flux is independently owned, funded, and operated by its founder. Any external references or features are for community benefit only and do not imply endorsement, control, or ownership.

Send us Fan MailSummaryIn this conversation, Rajeev Kapur discusses the evolution from prompt engineering to context engineering in AI, emphasizing the importance of providing detailed context for effective AI interactions. He shares insights from his career, the impact of AI on project management, and the common mistakes people make when prompting AI. Rajeev also addresses concerns about job security due to AI, the democratization of AI for entrepreneurship, and the future of robotics and energy. He concludes with real-life success stories and the potential for AI to create new opportunities while highlighting the need for gradual adaptation to these technologies.TakeawaysContext is crucial for effective AI prompting.The evolution from prompt engineering to context engineering is significant.Common mistakes in AI prompting include vagueness and lack of detail.AI can enhance productivity and create new job opportunities.Generational differences affect the adoption of AI technologies.AI democratizes entrepreneurship and learning for everyone.Hallucinations in AI outputs are a function of training data.The future of AI includes smart cars and robotics.Real-life success stories demonstrate the potential of AI.Gradual adaptation to AI technologies is essential for success.Chapters00:00 Introduction to Rajeev Kapoor and AI Journey05:03 The Evolution of AI and ChatGPT09:51 Understanding AI Hallucinations and Their Impact14:27 Practical AI Implementation Strategies18:40 The Future of AI: Context Engineering and Prompting49:59 Unleash the Code Intro.wavSupport the showSubscribe to the Project Flux Newsletter!All our podcasts commentate on the weeks hottest news brought to you by the Project Flux Newsletter! Get a step ahead on the world of AI and tech, subscribe and get the weekly newsletter to your inbox every Monday!Sign Up to Newsletter Project Flux is independently owned, funded, and operated by its founder. Any external references or features are for community benefit only and do not imply endorsement, control, or ownership.

Send us Fan MailIn collaboration with the Gen AI Podcast, this episode was filmed at nPlan's AI Day, where we explore groundbreaking advancements in project management technology, the impact of AI on markets, and the importance of scenario planning through multiverse thinking. Join us for insights from industry experts on how these innovations are shaping the future.Key TopicsHow Schedule Studio enables fast, large-scale scenario analysis with up to 3,000 activities generated instantlyThe concept of multiverse thinking in project planning to manage uncertainties and ill unforeseen eventsThe significance of AI plugins and integrations, including barriers and opportunities in project controlsThe risks and security considerations of proactive agents like Claude Bot and MaltbookMarket reactions to AI developments, including plugins' influence on financial markets and long-term strategy implicationsFuture possibilities of space-based data centers and AI in space explorationTimestamps00:00 - Introduction to Project AI Day and event excitement 00:24 - Recap of AI Day preparations and expectations 00:43 - Demonstration of schedule automation connecting to project control loops 01:23 - The importance of speed in scenario analysis and project adjustments 02:26 - Launch of Schedule Studio upgrades for large-scale schedules 03:17 - Handling equipment and technical setup for live demos 04:18 - Multiverse thinking: exploring scenarios with high breadth and rapid iteration 04:44 - Uploading and managing millions of schedules with automation tools 05:46 - Integration capabilities with external data sources like Procore and Barry 06:19 - AI plugin market dynamics and strategic implications 07:21 - Political and market reactions to AI advancements and plugin launches 08:41 - Westworld's Rehoboam and the future of scenario-based decision making 09:33 - AI balancing in project planning to mitigate risks and optimize outcomes 10:31 - Practical inputs for real-time scenario updates during projects 11:43 - Incorporating AI intuition and human experience in decision-making 12:36 - The security risks of AI agents and proactive bots like Claude Bot 14:21 - The evolution of Maltbook and agent interaction influences 15:09 - The potential societal and privacy impacts of pervasive AI agents 16:52 - The competitive edge of hyper-vertical AI tools over generalist models 18:08 - Market implications of AI plugins and how they disrupt traditional industries 19:35 - Long-term investment strategies amidst AI disruption and market volatility 21:35 - The rise of specialized AI and the decline of broad, generalist models 24:27 - Risks of personal data exposure and the importance of safe AI deployment 27:00 - Society's adaptation to diminishing privacy and AI's role in personal autonomy 33:29 - The concept of project superintelligence and its evolution beyond current tools 36:11 - Mars colonization ambitions linked to AI and space tech mergers 39:00 - Feasibility of space-based data centers and energy considerations 40:17 - Closing remarks and upcoming involved projectsThe blog of the eventResources & LinksProject Flux - Official SiteSchedule StudioWestworld - RehoboamCSupport the showSubscribe to the Project Flux Newsletter!All our podcasts commentate on the weeks hottest news brought to you by the Project Flux Newsletter! Get a step ahead on the world of AI and tech, subscribe and get the weekly newsletter to your inbox every Monday!Sign Up to Newsletter Project Flux is independently owned, funded, and operated by its founder. Any external references or features are for community benefit only and do not imply endorsement, control, or ownership.

Send us Fan MailIn this episode of the Project Flux podcast, Maryrose Lyons discusses the transformative impact of AI on the built environment. The conversation explores the evolution of curiosity in AI adoption, practical applications of AI in daily work, and the importance of empowering humans rather than replacing them. Maryrose emphasises the need for a shift in mindset towards experimentation and innovation, as well as the potential of spatial AI and robotics to redefine the future of work. The episode concludes with insights on the emerging landscape of AI agents and their implications for various industries.TakeawaysCuriosity is essential for success in the AI era.AI should empower humans, not replace them.The built environment is rapidly adopting AI technologies.Experimentation is key to navigating AI challenges.Training in AI should focus on practical applications.Spatial AI will fundamentally change the industry.Midsize companies are leading in AI adoption.AI can automate mundane tasks, freeing up time for creativity.The future of work will be more fluid and less prescriptive.Agents in AI need to be clearly defined and understood.Chapters00:00 Introduction to AI and Curiosity02:13 The Evolution of AI Perception05:23 Practical Applications of AI in Daily Life08:16 The Role of Curiosity in AI Adoption11:11 The Competitive Landscape of AI14:04 Future of AI and Human Empowerment17:53 Transforming Work Through AI Training20:40 Rethinking Old Processes for New Solutions22:27 Managing Change and Embracing Experimentation24:29 Agile Learning and Tailored Training Solutions26:51 Fostering Creativity and Curiosity in Teams28:58 The Future of Work: Fluid Processes and AI32:03 Decoupling Process from AI Solutions33:51 Understanding AI Agents vs. Virtual Assistants36:56 The Future of AI Agents39:30 The Evolution of AI and Its Impact41:36 Key Skills for Leaders in Construction43:10 The Rise of Spatial AIMaryrose’s Linked In AI Institute Linked In page AI Institute Website Support the showSubscribe to the Project Flux Newsletter!All our podcasts commentate on the weeks hottest news brought to you by the Project Flux Newsletter! Get a step ahead on the world of AI and tech, subscribe and get the weekly newsletter to your inbox every Monday!Sign Up to Newsletter Project Flux is independently owned, funded, and operated by its founder. Any external references or features are for community benefit only and do not imply endorsement, control, or ownership.

Send us Fan MailIn a special collaboration, we join Own the Build podcast for their 250th episode alongside the RICS. This conversation arrives at a pivotal moment: the RICS has just published its first-ever global professional standard for the responsible use of AI in surveying, coming into effect in March 2026.Unpacking what this means for Quantity Surveyors (QS'), valuers, project professionals, software vendors and construction leaders, is:James Garner — Head of AI & Data at Gleeds, Chair of the Project Data Analytics Task Force, and host of Project Flux.Chris de Gruben — Senior Director & Head of AI at Artefact; co-chair of the RICS AI Working Group.Matthew Lavy — Barrister at 4 Pump Court specialising in technology disputes and AI liability.Across this wide-ranging, practical and occasionally provocative discussion, the panel explore:Why the RICS created this standard now: Member demand, regulatory pressure, industry lag, and a cultural shift from “AI as a threat” to “AI as a professional tool”.The core pillars of responsible AI use: Risk registers, explainability, transparency to clients, PI considerations, shadow AI, enterprise-grade tools, and why “professional judgement” remains non-negotiable.What AI will — and won’t — replace: From AVMs and automated cost analysis to complex valuation, negotiation, context, and human judgement.The difference between enabling and restricting innovation: Why the RICS guidance is intentionally light-touch and principle-based, and how it avoids the rigidity of the EU AI Act.What this means for QSs, valuers, employers, universities and software vendors: Future training, AI literacy, cultural change, documentation, and how practitioners can protect themselves while accelerating adoption.The future of surveying and construction in an AI-native world: Agentic workflows, robotics, quantum computing, and the real-world impact on productivity, risk, client expectations and professional identity.This is a landmark conversation at a turning point for the profession. If you want clarity on how AI will shape surveying, cost management and construction over the next five years — and what you should do in 2026 — this is essential listening.Support the showSubscribe to the Project Flux Newsletter!All our podcasts commentate on the weeks hottest news brought to you by the Project Flux Newsletter! Get a step ahead on the world of AI and tech, subscribe and get the weekly newsletter to your inbox every Monday!Sign Up to Newsletter Project Flux is independently owned, funded, and operated by its founder. Any external references or features are for community benefit only and do not imply endorsement, control, or ownership.

Send us Fan MailSummaryIn this episode of the Project Flux podcast, host James engages with Mark Enzer and Gavin Spencer to discuss the intersection of project management and artificial intelligence. They explore the importance of systems thinking, the need for a federated approach to data management, and the role of AI in shaping the future of project delivery. The conversation emphasizes the necessity of starting with clear outcomes, the significance of data quality, and the collaboration between humans and AI. They also touch on future trends in project management and the importance of ethical considerations in technology useTakeawaysStart with the end in mind to guide project outcomes.Projects are interconnected systems that require a holistic view.AI can enhance our understanding of complex systems.A federated approach to data management is more effective.Data quality is crucial for successful AI implementation.We must start somewhere with our data management efforts.AI should serve human needs, not dominate them.Metamodernism offers a hopeful perspective for the future.Shaping the future of project management requires collective effort.Ethical considerations in technology use are paramount.Chapters04:53 The Windsor Project Summit Insights09:39 Systems Thinking in Project Management14:34 AI's Role in Infrastructure and Project Delivery19:09 Shaping the Future of Project Management23:56 The Human-Tech Relationship in Project Management26:51 Tech Serving Humanity: Ethical Considerations29:23 Data Quality: The Foundation of AI Success36:16 Interoperability in Project Delivery: Challenges and Solutions40:06 Human Skills in an AI World: The Importance of Clarity43:48 Emerging Trends: Metamodernism and the Future of PurposeLinks and StuffMark Enzer's Linked InGavin Spencer's Linked InGet the Report Here - https://www.apm.org.uk/resources/thought-leadership/the-windsor-summit-series/Link to Built Environment Connective - https://be-connective.com/vSupport the showSubscribe to the Project Flux Newsletter!All our podcasts commentate on the weeks hottest news brought to you by the Project Flux Newsletter! Get a step ahead on the world of AI and tech, subscribe and get the weekly newsletter to your inbox every Monday!Sign Up to Newsletter Project Flux is independently owned, funded, and operated by its founder. Any external references or features are for community benefit only and do not imply endorsement, control, or ownership.

Send us Fan MailSummaryIn this conversation, Project Flux representatives discuss the evolving landscape of AI in project management, highlighting key trends and challenges from 2025 and predictions for 2026. They explore the illusion of intelligence in AI, the responsibility of project professionals in governance, the impact of hallucinations on implementation, and the shift from pilot projects to full-scale adoption. The discussion also touches on the quality of AI-generated content, the role of data centers, and the emergence of vibe coding and robotics, ultimately questioning whether the future of project management will be evolutionary or revolutionary.TakeawaysAI has created an illusion of intelligence that doesn't hold in real-world applications.Project professionals must take responsibility for AI governance and implementation.The shift from pilot projects to full implementation of AI is crucial for success.AI psychosis refers to the uncritical belief in AI outputs, which can be harmful.Hallucinations in AI outputs pose significant challenges for industries relying on accurate data.The quality of AI-generated content varies greatly, leading to concerns about 'AI slop'.The project management profession is at a crossroads between evolution and revolution due to AI.Strategic work in project management will become clearer as AI tools evolve.Data centers are crucial for the future of AI, but sustainability must be considered.Vibe coding is an emerging trend that allows for more intuitive AI interactions.Chapters00:00 Introduction to Project Flux and AI Trends02:42 The Illusion of Intelligence in AI05:41 The Responsibility of Project Professionals in AI Governance08:31 Emerging Technologies: Agentic AI and AI Psychosis11:20 Challenges in AI Implementation: Hallucinations and Data Quality14:03 The Shift from Pilots to Full Implementation16:56 AI Slop and the Quality of AI-Generated Content19:44 The Future of Project Management: Evolution vs. Revolution22:29 Strategic Work and Context Engineering in AI25:17 The Role of Data Centers and Sustainability in AI28:26 Vibe Coding and the Rise of Robotics31:19 The Future of AI in Project ManagementSupport the showSubscribe to the Project Flux Newsletter!All our podcasts commentate on the weeks hottest news brought to you by the Project Flux Newsletter! Get a step ahead on the world of AI and tech, subscribe and get the weekly newsletter to your inbox every Monday!Sign Up to Newsletter Project Flux is independently owned, funded, and operated by its founder. Any external references or features are for community benefit only and do not imply endorsement, control, or ownership.

Send us Fan MailSummaryIn this episode of the Project Flux podcast, Peter Taylor discusses the transformative role of AI in project management. He introduces the concept of the 'Invisible Project Manager,' emphasizing how AI can automate repetitive tasks, allowing project managers to focus on critical thinking and strategic oversight. Taylor highlights the importance of human interaction in project management, even as automation increases. He advocates for education and training in AI to prepare project managers for the future, stressing that accountability and critical thinking will be essential in navigating the challenges posed by AI. The conversation explores the evolving roles within project management and the balance between technology and human insight.TakeawaysPeter Taylor emphasizes the importance of AI in transforming project management.The concept of 'productive laziness' is central to Taylor's philosophy.AI can automate repetitive tasks, allowing project managers to focus on critical thinking.The role of the project manager is evolving to include more strategic oversight.Human interaction remains crucial in project management despite increasing automation.Education and training in AI are essential for project managers to adapt.The future of project management will require a balance between AI and human insight.Taylor believes that accountability in project management will shift with AI integration.The invisible project manager concept suggests a more automated approach to project oversight.Critical thinking will be vital in navigating the challenges posed by AI.Chapters00:00 Introduction to Peter Taylor and His Work02:57 The Evolution of Project Management and AI05:47 The Role of AI in Project Management08:33 The Concept of the Invisible Project Manager11:27 Human Elements in Project Management14:15 The Future of Project Management Roles16:56 Education and Upskilling in AI for Project Managers22:33 The Importance of AI Education23:41 Accountability in Project Management25:38 Bias in AI and Its Implications28:42 Critical Thinking and Resilience in the Workforce30:02 The Role of Data in AI33:00 Resistance to AI Adoption33:45 Shadow Systems and Personal AI37:53 Leadership Styles in AI-Driven Organizations39:16 Transformative Moments in Project Management41:06 Recommended Reads for Project Managers43:22 Unleash the Code 1 Second.mp343:25 james .mp444:02 Unleash the Code 1 Second.mp344:04 ending.mp444:38 Unleash the Code Intro.wavLinks AND Stuffhttps://www.waterstones.com/book/the-invisible-project-manager/peter-taylor//9781041139515Support the showSubscribe to the Project Flux Newsletter!All our podcasts commentate on the weeks hottest news brought to you by the Project Flux Newsletter! Get a step ahead on the world of AI and tech, subscribe and get the weekly newsletter to your inbox every Monday!Sign Up to Newsletter Project Flux is independently owned, funded, and operated by its founder. Any external references or features are for community benefit only and do not imply endorsement, control, or ownership.

Send us Fan MailSummaryIn this episode of the Project Flux podcast, James, Yoshi and John discuss the key trends and realisations from 2025 in the realm of AI, including the cultural shifts in adoption, the importance of context in implementation, and the challenges of accountability and ROI. They also make predictions for 2026, exploring the evolving dynamics between consultancy and tech companies, the regulatory landscape, and the future of robotics and AGI.Takeaways2025 was marked by a trough of disillusionment in AI.95% of AI pilots or projects are failing due to cultural issues.AI implementation requires a cultural change, not just a tech rollout.Context is crucial for effective AI use in businesses.The lines between consultancy and tech companies are blurring.AI is seen as a coworker that accelerates human impact.Emerging risks in AI need proactive governance.The ROI of AI projects is often misreported due to hidden time savings.Skills in critical thinking and communication will be vital in 2026.Robotics and AGI advancements are expected to accelerate in the coming years.Chapters00:00 Introduction and Overview of 202503:05 The Trough of Disillusionment in AI05:57 Cultural Shifts and AI Implementation Challenges08:43 The Importance of Context in AI Usage11:36 AI Tools and Their Evolving Landscape14:30 Transparency and Accountability in AI17:07 The ROI Dilemma in AI Adoption20:08 Predictions for 2026: The Future of AI23:56 The Evolution of AI Acquisition Strategies27:25 The Rise of AI-Driven Startups28:50 Transforming Revenue Models in Professional Services30:16 The Future of Change Management in Tech30:28 Navigating AI Regulation and Governance33:07 Emerging Risks in AI and Human Behavior35:55 The Path to Artificial General Intelligence (AGI)40:13 The Future of Robotics and Humanoid Interaction43:44 Unleash the Code 1 Second.mp3Links and stuffSupport the showSubscribe to the Project Flux Newsletter!All our podcasts commentate on the weeks hottest news brought to you by the Project Flux Newsletter! Get a step ahead on the world of AI and tech, subscribe and get the weekly newsletter to your inbox every Monday!Sign Up to Newsletter Project Flux is independently owned, funded, and operated by its founder. Any external references or features are for community benefit only and do not imply endorsement, control, or ownership.

Send us Fan MailSummaryIn this episode of the Project Flux podcast, James and Yoshi explore the intersection of AI and the music industry with professional musicians Anna Mylee and Tim Fraser. They discuss the impact of AI on music creation, the ethical implications of AI-generated music, and the future of songwriting in an increasingly automated world. The conversation delves into personal experiences with AI, the importance of authenticity in music, and the potential for a divide between AI-generated and human-created music. TakeawaysAI is reshaping the entire music industry.The music industry has been struggling for years.AI can create music that lacks the human touch.Authenticity in music is becoming harder to prove.Consumers may prefer AI music for its cost-effectiveness.The future of music may see a divide between AI and human creativity.Artists need to create music for themselves, not just for profit.AI can assist in songwriting but cannot replace human emotion.AI raise ethical questions in music.The music industry must adapt to technological changes.Chapters00:00 Introduction to AI in Music02:39 Anna's Perspective on AI's Impact04:55 Tim's Optimism and Historical Context07:20 The Music Industry's Response to AI09:52 AI as a Tool for Songwriters12:13 The Ethics of Sampling and AI15:06 AI's Limitations in Creativity17:40 The Role of Backstory in Music19:58 Conclusion: The Future of Music and AI23:25 The Role of AI in Music Creation28:58 Authenticity in the Age of AI38:18 Hope and the Future of Music42:04 Collaborating with LegendsTim FraserTim’s Linked in https://www.linkedin.com/in/tim-fraser-9aa5b44/https://www.tim-fraser.co.ukTina Turner doing Tim’s Song Falling https://open.spotify.com/track/4G7ruzIprYHy1EnvHwnLGs?si=f17e9f5c454c4262Lulu doing another fab Tim song Could I Be More Blue https://open.spotify.com/track/0Dj7Nuk4jMhAoUWIFwOUB9?si=9d8187475c7d49edAnna MyleeAnna’s website https://www.annamylee.com/Anna’s Insta https://www.instagram.com/anna_myleeAnna’s AI videos from Beyond Grooves & Treble Podcast https://youtu.be/PVKO6jdAnJg?si=AoCOt5lZYOYxajud and https://youtu.be/0eveLHlRGww?si=Km5FUWAoMHIe1q--Support the showSubscribe to the Project Flux Newsletter!All our podcasts commentate on the weeks hottest news brought to you by the Project Flux Newsletter! Get a step ahead on the world of AI and tech, subscribe and get the weekly newsletter to your inbox every Monday!Sign Up to Newsletter Project Flux is independently owned, funded, and operated by its founder. Any external references or features are for community benefit only and do not imply endorsement, control, or ownership.

Send us Fan MailSummaryIn 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 Fan MailSummaryIn 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 Fan MailSummaryIn 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 Fan MailSummaryThis 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.