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The Meg and Amy Show

The Meg and Amy Show

Written by: WRKdefined Podcast Network
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 Join best friends Meg Bear and Amy Wilson on The Meg and Amy Show – a podcast for big-picture thinkers who are ready to challenge the status quo. As former tech executives and seasoned business leaders, Meg and Amy have spent decades leading through change. Now, they’re joining forces to break down the trends they’ve lived and helped shape.All rights reserved by WRKdefined Careers Economics Personal Success
Episodes
  • Episode 42 | Your AI transformation has a shelf life — and it's getting shorter

    Episode 42 | Your AI transformation has a shelf life — and it's getting shorter
    May 15 2026
    Amy and Meg go solo to revisit the five threads they called at the start of the season — and find them converging and accelerating faster than anyone predicted. A wide-ranging conversation on creative destruction, high-agency work, AI security readiness, and how to find meaning when everything you build has a shelf life. ⏰ TIMESTAMPS: 00:00 Cold open + Pebble Beach catch-up 02:49 Revisiting the five threads: the Great Reshuffle & Amy Webb's convergence 07:10 Creative destruction & contribution credits 11:03 Sovereign wealth funds & bridging the AI transition 14:48 Thread 2: High agency & the OpenBrain project 20:40 Using AI as a chief of staff for emotional regulation 25:50 Thread 3: Context is the new moat 29:09 Comprehension, Gen Z resistance & the neuroplasticity problem 34:19 When AI writing starts to feel manipulative 37:16 Thread 4: Agents gone wild & security readiness 43:02 The AI maturity model & the accelerating slope 46:19 Beautiful Lego sculptures: finding meaning in constant rebuilding 49:25 Thread 5: The SaaS-bocalypse & enterprise AI adoption 52:13 Vibe coding update 52:56 Leadership Corner: the leader who did everything right 🔑 KEY INSIGHTS: - Convergence beats invention — the reassembly of things we already have is where real disruption happens - The most valuable use of an AI agent isn't automating your inbox; it's emotional regulation and staying aligned with your long-term goals - Portable context is the new moat — build your own "skill passport" now, before you need it - Prevention isn't a security strategy — every board needs an incident process and real tabletop exercises - AI transformation has a short shelf life — the unlearning has to be constant, and finding meaning in that is the actual work 📚 RESOURCES: Amy Webb's SXSW presentation & convergence report: [LINK] Nate B. Jones — "Open Brain," portable context & comprehension: [LINK] The Meg & Amy Show with Scott Santens — UBI & digital dividends: [LINK] Jason Cohen — "At scale, rare things happen": [LINK] The Meg & Amy Show with Brian Solis — the AI maturity index: [LINK] The Meg & Amy Show with Doug Merritt — security: [LINK] 🔗 CONNECT: Submit Leadership Questions: megandamyshow@gmail.com Instagram: https://www.instagram.com/megandamyshow/ LinkedIn: https://www.linkedin.com/company/the-meg-amy-show #AITransformation #FutureOfWork #Leadership #CreativeDestruction #AIAgents #EnterpriseAI #AIStrategy #MegAndAmyShow
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    1 hr and 1 min
  • Episode 41 | Are You Optimizing Yesterday Instead of Building Tomorrow? | Brian Solis

    Episode 41 | Are You Optimizing Yesterday Instead of Building Tomorrow? | Brian Solis
    May 8 2026
    🚀 AI DARWINISM: Futurist Brian Solis reveals why most companies are using AI to optimize yesterday — and the "spark of the possible" that separates real transformation from glorified digitizing. Learn why ServiceNow's AI maturity index actually DROPPED in 2025, how IKEA's chatbot generated €1 billion in new revenue, and why intellectual humility beats technical expertise for AI-era leaders. ⏰ TIMESTAMPS: 00:00 "What if?" — Cold open 00:16 Welcome and bio 01:14 Meet Brian Solis — what he's up to at ServiceNow 03:06 What is AI Darwinism? 09:12 The 5 stages of AI maturity 13:31 Why the AI maturity score dropped from 44 to 35 18:43 How leaders react to AI — and where they get stuck 23:51 Visionary vision: the leadership shift AI requires 28:30 The IKEA story — how €1B came from asking the opposite question 38:48 MindShift — exploring what you don't know you don't know 50:19 Leadership Corner: managing younger, less experienced execs 59:35 What if? Closing thoughts 🔑 KEY INSIGHTS: - ServiceNow's AI maturity index dropped from 44/100 to 35/100 between 2024 and 2025 — and that's actually progress, not regression - "Visionary vision" requires CEO/board agreement to change measures, incentives, and reward structures, not just AI adoption goals - Most digital transformations failed because they were just digitizing — the same pattern is happening with AI now - IKEA reskilled customer service reps as AI interior designers and generated €1B in net new revenue in year one - The AI-era leaders who win aren't the most technical — they share deep curiosity and intellectual humility - "Spark of the possible" beats "art of the possible" — what AI makes newly imaginable matters more than what was already imaginable 📚 RESOURCES: MindShift (Brian's book): https://www.briansolis.com/mindshift/ Brian Solis website: https://www.briansolis.com ServiceNow AI Maturity Index report: https://www.servicenow.com/research/ 🔗 CONNECT: Brian Solis: https://www.linkedin.com/in/briansolis/ Submit Leadership Questions: megandamyshow@gmail.com Instagram: https://www.instagram.com/megandamyshow/ LinkedIn: https://www.linkedin.com/company/the-meg-amy-show #AIDarwinism #AITransformation #Leadership #BrianSolis #FutureOfWork #DigitalTransformation #MindShift #MegAndAmyShow
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    1 hr
  • Episode 40 | Why Your AI Agents Go Off the Rails — and the Harness That Saves Them | Ankur Bhatt

    Episode 40 | Why Your AI Agents Go Off the Rails — and the Harness That Saves Them | Ankur Bhatt
    May 1 2026
    Ankur Bhatt — Head of AI at Service Titan — joins Amy and Meg to explain why most AI agent initiatives die between demo and production, and what to do about it. Ankur has spent the last two years building production agents that handle high-stakes work like tax notices and payroll compliance, and he's published one of the most useful practitioner guides on the topic anywhere. The answer, he argues, isn't a better model — it's something called harness engineering. He breaks down why agents have "the cognitive ability of a PhD with the attention span of a two-year-old," the three failure modes that sink most deployments, and the six principles that turn probabilistic AI into reliable enterprise software. Plus: why writing code is no longer the bottleneck, why your next product probably shouldn't have a UI at all, and a Leadership Corner on managing peer egos when you're the most senior woman in the room. ⏰ TIMESTAMPS: 00:00 Cognitive ability of a PhD, attention span of a two-year-old 00:17 Meet Ankur Bhatt: VP AI @ Rippling, Head of AI @ Service Titan 01:22 From SAP/SuccessFactors to startup speed 03:25 What customers actually want from AI right now 06:32 The demo trap: six-day demo, six engineers, three months of fixes 08:23 What "harness engineering" actually means 09:47 Why architecture matters more, not less, in the agent era 13:01 Where the term "harness" came from (the Manus story) 15:47 Three failure modes: compound error, context overload, specification vacuum 19:16 Why agents are like ADHD partners — the executive-function problem 21:11 The six principles of harness engineering 24:01 The Montessori analogy: maps, stations, and skills 27:43 Why specs and PRDs matter more now, not less (planning mode) 28:55 Skills vs. hooks: what goes where 30:57 Building a skills marketplace inside your organization 35:45 The 10–20% problem: scaling individual productivity to a team 39:40 The new bottleneck has moved upstream 42:52 From features to agent experiences (the Karpathy home-control example) 45:22 The two layers of B2B agent design every leader misses 48:46 Leadership Corner: lonely at the top, surrounded by egos 49:26 Meg's "trust council" reframe 53:26 Where to focus your emotional energy (hint: not on changing your peers) 55:31 Managing egos as a core executive skill 🔑 KEY INSIGHTS: -Why your AI agent goes off the rails: compound error, context overload, and specification vacuum — and how to design around all three -The six principles of harness engineering, in order — starting with "give agents maps, not manuals" -Skills vs. hooks: how to encode domain knowledge and enforce quality without overloading the model -Why "spec before code" matters more in the agent era than it did in the human-engineer era -The new SDLC: when writing code stops being the bottleneck, what becomes the bottleneck instead -Why continuing to build point-and-click UIs may already be irrelevant — and what an "agent experience" looks like in B2B -Leadership Corner: why peer loneliness usually isn't a peer problem, and how to build a trust council instead 📚 RESOURCES: Ankur's article: Agentic Engineering — Why the Harness Matters More Than the Model: https://www.linkedin.com/pulse/agentic-engineering-why-harness-matters-more-than-model-ankur-bhatt-fyjwe/ Daniel Kahneman, Thinking Fast and Slow Andrej Karpathy on the No Priors podcast (the home-control agent example) Anthropic's "progressive disclosure" approach to skills Rippling: https://www.rippling.com ServiceTitan: https://www.servicetitan.com 🤝 CONNECT: Ankur Bhatt: https://www.linkedin.com/in/ankurbhatt77/ Instagram: https://www.instagram.com/megandamyshow/ LinkedIn: https://www.linkedin.com/company/the-meg-amy-show #AIAgents #HarnessEngineering #AI #AITransformation #FutureOfWork #SoftwareDevelopment #Leadership #MegAndAmyShow
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    59 mins
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