『The Meg and Amy Show』のカバーアート

The Meg and Amy Show

The Meg and Amy Show

著者： WRKdefined Podcast Network
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今ならプレミアムプランが3カ月 月額99円

2026年5月12日まで。4か月目以降は月額1,500円で自動更新します。

概要

 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 出世 就職活動 経済学
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  • Episode 036 | Himanshu Palsule

    Episode 036 | Himanshu Palsule
    2026/04/03
    57 分
  • Episode 35 | Why Most AI Productivity Claims Are Dangerously Misleading | Ben Waber

    Episode 35 | Why Most AI Productivity Claims Are Dangerously Misleading | Ben Waber
    2026/03/27
    MIT researcher and People Analytics author Ben Waber joins Amy and Meg for one of the most myth-busting conversations about AI, productivity, and what actually drives enterprise value. From a 23-year-old grad student who discovered that billion-dollar companies don't know how their own teams communicate, to the lunch table experiment that changed programmer productivity by 20%, Ben brings 15 years of behavioral data to challenge everything you think you know about how organizations work — and why most AI claims should make you very skeptical. ⏰ TIMESTAMPS: 00:00 What percent of your company is a dumpster fire? 00:11 Introduction to Ben Waber 01:11 From Philly to MIT: How Ben started measuring how humans work 04:35 A paper that made a billion-dollar bank reorganize 06:31 The Japanese minor, a bestselling book, and being recognized on the street 08:42 The Academic Run Playlist: 2,500+ talks and counting 13:07 The big idea: Where is the real value in AI? 14:37 Why AI vendors and economists are both getting it wrong 16:20 The calculation machines story: 20 years to get 20% cheaper 18:06 Amazon's box-packing metric and why "quantitative" doesn't mean "objective" 20:11 Jack Dorsey, Block, and the rude awakening ahead 22:11 Klarna's AI rollback and the nuance problem 24:33 "Spin up 100,000 agents doing nothing" — the meaningless metrics trap 27:17 The three things you need to understand before deploying AI 29:37 Tripwires: Building permission to be wrong 31:22 How do you actually model work? Amy's HRIS thesis 35:48 What we're really good at measuring: what's awful 37:12 From dumpster fires to board-level accountability 38:20 AI is a sugar rush — and profit predicts 1% of your future 39:06 If the cows are limping, it's bad 39:28 The lunch table story: a 20% productivity difference from a $50 decision 44:22 Leadership Corner: Breaking through when a peer team is gatekeeping 51:44 Wrap-up: What we learned from Ben 🔑 KEY INSIGHTS: - Most AI productivity claims are measuring activity, not value — "having a seizure on my keyboard outputs more lines of code" - Companies can't define what performance actually means — and that's the root problem - We can't predict what great looks like, but we're really good at identifying what's awful - The "dumpster fire" reframe: measure what percent of your company is broken and put a dollar value on it - AI adoption is a sugar rush — firing 40% of employees boosts quarterly profit but predicts nothing about the future - Current profit predicts only 1% of future profit — people metrics predict far more - A 20% difference in programmer productivity was driven by which cafeteria door people walked through - The financial industry is starting to use workplace behavioral data in investment decisions 📚 RESOURCES: Ben Waber's book, People Analytics: https://www.amazon.com/People-Analytics-Technology-Transform-Business/dp/0133158314 Ben's HBR piece on LLMs and organizational performance: https://hbr.org/2024/01/is-genais-impact-on-productivity-overblown Patty Azzarello, Move: https://www.amazon.com/Move-Decisive-Strategy-Obstacles-Setbacks/dp/1119348374 Nate B. Jones on Klarna: https://www.youtube.com/@NateBJones 🔗 CONNECT: Ben Waber: https://www.linkedin.com/in/benjaminwaber/ Submit Leadership Questions: amywilsonadvisor@gmail.com Instagram: https://www.instagram.com/megandamyshow/ LinkedIn: https://www.linkedin.com/company/the-meg-amy-show #Leadership #AI #AITransformation #PeopleAnalytics #FutureOfWork #MegAndAmyShow
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    57 分
  • Episode 34 | You're the Weak Link Now | The Bottleneck Has Shifted From Your AI to You

    Episode 34 | You're the Weak Link Now | The Bottleneck Has Shifted From Your AI to You
    2026/03/20
    Our guest had to cancel (get well soon, Ankur!). So instead of the episode we planned, you're getting something better — us, unfiltered, on everything that's been consuming our lives for the past month. Amy has 100+ hours of vibe coding under her belt and has things to say. Meg has been reading Dan Heath's Reset and watching Jason Lemkin slowly become the worst worker on his own team. And together we've landed on a thesis that might be uncomfortable: the bottleneck in AI transformation isn't capability anymore. It's judgment. It's you. ⏰ TIMESTAMPS: 00:00 The Episode That Almost Wasn't 02:30 Field Trip: Meg & Amy Visit John Sumser & Heather Bussing 04:53 Ethan Mollick Was Right: Complexity Is in the Workflow 07:05 Customer Onboarding as a Case Study 12:08 Don't We Still Need Human Connection in the Age of AI? 15:44 Dan Heath's Reset & Three Judgment Failures 18:52 Stop Doing All the Things With AI 22:38 Amy's Vibe Coding Journey: 100+ Hours In 23:05 The Beach Walk Epiphany 29:09 The Executive Reframe: You're Not Just a Manager of AI 32:46 Why Mid-Level Leaders Are Most at Risk 35:55 It's Not a Time Problem. It's a Nervous System Problem. 41:13 Jason Lemkin's Weak Link Problem — And Amy's 47:10 Nate B. Jones & the Open Brain Concept 58:19 We're Out of the Messy Middle 🔑 KEY INSIGHTS: - The bottleneck has shifted — it's no longer your AI's capability, it's your judgment - The complexity is in the workflow design, not the tools — Forward Deployed AI Engineers won't save you - After 100+ hours of vibe coding, the lesson is clear: your job is to set intent, not implement - When your AI team never sleeps, you become the weak link — and that's an emotional adjustment nobody prepares you for - Mid-level leaders are most at risk from AI: most squeezed for time, least supported, caught in a double bind - If you're procrastinating on AI, it's probably a nervous system issue, not a time issue - Your first vibe coding project should be a throwaway — that IS the curriculum - The "open brain": your intelligence shouldn't live inside someone else's walled garden 📚 REFERENCES: Building Agents People Actually Trust | Ankur Bhatt https://www.linkedin.com/pulse/building-agents-people-actually-trust-ankur-bhatt-ujltc Reset | Dan Heath https://www.amazon.com/Reset-Dan-Heath/dp/1982195851 Ethan Mollick on Forward Deployed AI Engineers https://x.com/emollick Open Brain Concept | Nate B. Jones https://www.youtube.com/watch?v=2JiMmye2ezg Amy's AI Transformation Maturity Model https://www.linkedin.com/pulse/ai-transformation-maturity-model-amy-wilson 🔗 CONNECT: Submit Leadership Questions: megandamyshow@gmail.com Instagram: @megandamyshow LinkedIn: https://www.linkedin.com/company/the-meg-amy-show Meg's Website: https://www.megbear.com #AITransformation #VibeCoding #Leadership #FutureOfWork #MegAndAmyShow
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    57 分
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