Chatting GPT

Maryrose Lyons

Real conversations with the humans making AI work. Maryrose Lyons of AI Institute, speaks to AI directors, founders, and strategists who've moved beyond pilots to real transformation. From architecture studios to construction sites, AI is changing how we design, build, and manage the places we live and work. This is the podcast for built environment where you learn from the people who've done it, not just talked about it. Hosted on Acast. See acast.com/privacy for more information.

  1. 2d ago

    The self-parking car nobody uses

    Karen Lewis Enright is a change management professional with over 20 years of transformation experience across global organisations including Johnson & Johnson and Wipro. She holds a Masters in organisational psychology, but what makes her stand out is two decades spent helping leaders turn strategy into meaningful change. She specialises in AI strategy and is the first change management professional to join ChattingGPT. In this conversation, Maryrose and Karen get into the human side of AI adoption: how to lead when you're uncertain yourself, using the image of a slipping cup of coffee to explain where people's attention goes under stress, why the sceptics belong in the room alongside the enthusiasts, and how to build trust by being honest with people about what AI changes in how they work. Karen tells the story of a self-parking car that never gets used, a miniature version of every stalled AI rollout, and makes the case for celebrating the curious champions most organisations try to shut down. She talks through the change management tools she reaches for, from change agent networks on-site to reverse mentoring between graduate engineers and senior partners, to knowing when to pause a BIM rollout or a new tender process and let a stretched team catch up. She closes on the advice she keeps returning to: start with the why, and get the data, the governance and the change management right before you scale the technology across the practice. Connect with Karen Lewis Enright on LinkedIn. Hosted on Acast. See acast.com/privacy for more information.

    The self-parking car nobody uses
  2. Jul 14

    RICS Says AI Literacy Isn't Optional

    Most of the AI conversation is a numbers game: licences bought, people "using AI", whether the firm has a strategy yet. James Garner thinks that is the wrong number to watch. The money is flowing and the strategies are written, but the thing almost no one is funding is capability — whether ordinary professionals can actually use the tools well. That gap, he argues, is widening, and it is where the real risk now sits. James is Head of AI at Gleeds, a Fellow of RICS, and co-founder of the Project Flux podcast. He has been a quantity surveyor since 1998, a profession he jokes you could pull someone into from 1890, give a day's training, and they would manage fine today — which is exactly what makes this moment different. He sat on the RICS working group behind its new responsible-AI standard, in force since March, which for the first time makes baseline AI literacy a requirement for every chartered surveyor, not a nice-to-have. James walks Maryrose through why an "AI strategy" that is not a business strategy powered by AI will fail, the difference between transparency and explainability (and why he prefers "bookending" to "human in the loop"), the model-cost reckoning coming for anyone on a flat monthly plan, and the eight Claude files every professional should set up to get real value from Claude Code. Along the way, the habit that keeps him ahead: half an hour, every Friday, to do nothing but experiment. A practical, clear-eyed and genuinely useful conversation about closing the gap between owning AI and actually using it, before it widens any further. James Linkdln Hosted on Acast. See acast.com/privacy for more information.

    RICS Says AI Literacy Isn't Optional
  3. Jun 30

    The Race To Super Intelligence Has Already Started

    Most of the AI conversation is fixated on AGI: when machines will match human intelligence, and which lab gets there first. Dr. Craig Kaplan thinks that is the wrong thing to watch. The real story is what comes seconds later artificial super intelligence, systems a thousand times, or even a trillion times, smarter than the smartest human alive. And he believes it is arriving faster than almost anyone is prepared for. Craig has been working on this since the 1980s. He earned his doctorate at Carnegie Mellon alongside Nobel laureate Herbert A. Simon, one of the scientists who named the field of AI, and he has spent decades building collective intelligence systems — including ones that traded billions of dollars on Wall Street and beat the best hedge funds. That track record is the foundation of his core argument in this episode: the widely held belief that safer AI must mean slower AI is simply wrong. You do not need to slow down, he says. You need a smarter design. That design is a democratic "society" of cooperating AI agents — millions of them, each carrying the values of a separate human checking one another in the open, rather than a single monolithic black box no one can see inside. Craig walks Maryrose through why this is both more powerful and far safer, what Pope Leo's first encyclical gets right and wrong about treating AI as a mere tool, and why the values we hand these systems now, in their "childhood," will shape everything that follows. He also makes the case for sovereign AI and the Global South, where cultures like Nigeria's Yoruba risk being erased by models trained overwhelmingly on Western data. And the pace is staggering: some AI capabilities, he notes, are now doubling in as little as 1.3 months. A sharp, grounded, and surprisingly optimistic conversation about getting the most important technology in human history right before it arrives. Find Craig's white papers and free designs at superintelligence.com Here's you can see Craig's Linkdln Hosted on Acast. See acast.com/privacy for more information.

    The Race To Super Intelligence Has Already Started
  4. May 12

    The Web Is Being Componentised

    In January 2026, Google was granted a patent that lets it read your website, break it into components, and serve searchers an AI-generated page assembled from your content. Visitors may never see your actual site. Joe Toscano — former Google designer, one of the voices in The Social Dilemma, and founder of Service Stories — saw this coming. Joe left Silicon Valley in 2017, before Cambridge Analytica broke, because of what he was being asked to build. He now runs Service Stories, which helps small and mid-size service businesses get found by AI search engines by converting their existing work orders and job data into content — automatically. Early results from their pilots show direct web traffic growth of 228% within 90 days, and over 400% across longer periods. The shift that makes this possible: search is moving from "plumber near me" to "why is my HVAC system creating complications in my house?" Topical authority — specific, question-answering content — is now the edge, and AI makes it viable to produce at scale for the first time. He also just returned from two months in China — and his account of robots delivering room service in three minutes, seamless phone-based identity and payments, and a level of operational fluency the West hasn't reached yet is genuinely uncomfortable for anyone who assumes Europe's regulatory caution is the only sensible posture. A sharp, grounded episode on where search is going, what China is building, and what AGI actually looks like when it arrives. Find Joe and a step-by-step guide to doing this yourself at servicestories.com. Hosted on Acast. See acast.com/privacy for more information.

    The Web Is Being Componentised
  5. Mar 18

    Sean Blanchfield: Don't Let Your AI Go Rogue

    Sean Blanchfield, Co-Founder Jentic, joins Maryrose Lyons of the AI Institute for the second part of their conversation, this time diving deep into agentic AI, what it actually means for businesses, and how Jentic's infrastructure can help enterprise get there. From the risks of locking into a single AI model to a practical three-layer roadmap for AI transformation, Sean offers a grounded, builder's perspective on where enterprise AI is really headed. An essential listen for anyone in construction, professional services, or other sectors navigating fragmented systems and wondering where to start. Chapters 00:00 Introduction and Welcome Back 00:30 Model Neutrality — Why You Shouldn't Lock Into One AI 01:30 Microsoft Copilot: The Hype and the Reality 02:20 Self-Hosting and On-Prem AI for Sensitive Data 03:00 Where Jentic Fits In — Mapping Your Software Ecosystem 04:00 Building a Digital Twin of Your Business Infrastructure 05:00 Agents in the Sandbox — Testing Before Going Live 05:45 Validating and Publishing Automations Incrementally 06:30 Voice Agents and Real-Time Field Queries 07:30 Layer Three: Governance and Running an AI-Powered Company 08:30 Humans in the Loop — Cross-Workflow Thinking 09:15 Resistance to AI Adoption (Spoiler: Less Than You'd Think) 10:00 The Future Company — Humans as Governors of Machines 11:00 Wrap-Up and Where to Find Jentic Connect with Sean Blanchfield : https://www.linkedin.com/in/seanblanchfield/ Check out Jentic https://jentic.com/ Hosted on Acast. See acast.com/privacy for more information.

    Sean Blanchfield: Don't Let Your AI Go Rogue

About

Real conversations with the humans making AI work. Maryrose Lyons of AI Institute, speaks to AI directors, founders, and strategists who've moved beyond pilots to real transformation. From architecture studios to construction sites, AI is changing how we design, build, and manage the places we live and work. This is the podcast for built environment where you learn from the people who've done it, not just talked about it. Hosted on Acast. See acast.com/privacy for more information.