{"type":"rich","version":"1.0","provider_name":"Transistor","provider_url":"https://transistor.fm","author_name":"Travel Tech Podcast","title":"Jevons Paradox for Knowledge Work","html":"","width":"100%","height":180,"duration":2959,"description":"AI is making knowledge work faster — but it’s also surfacing an uncomfortable tension: when the “doing” becomes cheap, the limiting factor shifts to everything humans do around it. This tension shows up in two places at once: inside engineering teams (identity, craft, and maintainability) and inside go-to-market (trust, distribution, and buying behavior).In this episode, Ian Painter, Oliver Deakin, and Adrian McKenzie approach this from lived experience rather than speculation. They have built and scaled data-intensive travel technology, operated deep inside enterprise environments, and navigated acquisition into a public-market business. Instead of defaulting to debates about job loss, they focus on a more operational problem: when building no longer creates advantage on its own, what does?What You’ll LearnWhy speed shifts the bottleneck rather than removing it: As AI compresses build cycles, advantage moves from execution to decision-making, positioning, and trust.How identity shapes resistance to AI tools: Engineers most attached to craft and code quality often struggle more than those focused on outcomes.Why “good enough” AI output is still valuable: Treating AI like a junior teammate reframes imperfection as leverage rather than failure.Where maintainability breaks in mixed human-AI teams: Code that functions can still create long-term friction when humans need to read, test, and evolve it.How startup time-to-market dynamics are collapsing: Mockups, demos, and customer conversations now happen days into company formation.Why distribution may matter more than differentiation: When demos converge, embedded relationships and brand trust regain power.How build-versus-buy decisions may flip: Internal teams coordinating many agents could replace procurement with custom internal builds.Why data becomes the defensible asset again: As software commoditizes, curated, hard-earned datasets grow in relative value.What near-term “seniority” may look like: Capability may...","thumbnail_url":"https://img.transistorcdn.com/LxpvuNpWwfSGFL1KA1WhoZf9L55ykAqb5rgjXNFqi3c/rs:fill:0:0:1/w:400/h:400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9mY2Yz/ZjA5OGE1ZmEyMTk4/ODJkYmU1YjhlYjRk/YTMzNC5wbmc.webp","thumbnail_width":300,"thumbnail_height":300}