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Harvard AI Professor: The People Most at Risk From AI Aren’t Who You Think

📩 Follow my Newsletter (Future Proof): https://siliconvalleygirl.beehiiv.com/subscribe?utm_source=youtube&utm_medium=description&utm_campaign=futureproof-sub&utm_term=karim-lakhani 📌 Try ChatLLM by Abacus AI, all the top AI models in one place for $10 a month: https://chatllm.abacus.ai/svg Using AI every day doesn’t automatically make you better at your job. So how do you use it to build real expertise? In this episode, I talked to Karim R. Lakhani, a Harvard Business School professor whose research with BCG, Procter & Gamble, and H&M explores how AI changes the way we work. We talk about three ways people work with AI – cyborgs, centaurs, and self-automators – and why the way you delegate matters for what you actually learn. Karim shares why he never takes the first answer, how to make AI challenge your assumptions, and why “the AI gave me that” is no excuse for poor work. We also get into what Harvard MBA students now build with AI, how juniors can develop judgment and taste, why CEOs need hands-on experience with these tools, and how to set bigger business goals as AI gets more capable. And we end with a question every founder should be asking: when the next AI model launches, does your business become more valuable – or does the model absorb what you do? Timestamps: 00:00 - Why using AI isn’t enough 2:07 - Cyborgs, centaurs, self-automators: 3 ways to use AI 04:24 - Why AI can sound convincing and still be wrong 09:00 - The prompts Karim uses to challenge AI 11:49 - Why judgment and taste still matter 15:48 - How juniors can build experience with AI 19:58 - What Harvard MBA students now have to build 23:21 - Why CEOs need to use AI themselves 28:30 - Set bigger business goals – then bring in AI 34:40 - What happens when AI makes expertise widely available? 38:36 - Expert with AI: why grind beats talent 41:15 - Will AI agents decide what we watch? 43:39 - Are middle managers more at risk than juniors? 45:37 - Walmart, Kmart or Bezos: the question for every company 48:45 - Will the next AI model strengthen your business? 49:14 - Why leaders have to use AI themselves 📌 Help shape what’s next on Silicon Valley Girl! Take our quick survey: https://docs.google.com/forms/d/e/1FAIpQLSdQEqUy3wiE7TlzM_haWLEcgV8eJUeSBIVaK2QjDsAVEsXm3w/viewform?usp=publish-editor Links: 🔗 My Instagram: https://www.instagram.com/siliconvalleygirl/ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠𝕏 : ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://x.com/siliconvalleymm⁠⁠⁠⁠⁠⁠⁠⁠ 💼 LinkedIn: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.linkedin.com/in/marinamogilko⁠⁠⁠⁠⁠⁠⁠⁠ 📌 My Companies & Products: https://partnerships.marinamogilko.co #SiliconValleyGirl #Podcast

Karim R. LakhaniguestMarina Mogilkohost
Oct 30, 202651mWatch on YouTube ↗

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Episode Details

EPISODE INFO

Released
October 30, 2026
Duration
51m
Channel
Silicon Valley Girl
Watch on YouTube
▶ Open ↗

EPISODE DESCRIPTION

📩 Follow my Newsletter (Future Proof): https://siliconvalleygirl.beehiiv.com/subscribe?utm_source=youtube&utm_medium=description&utm_campaign=futureproof-sub&utm_term=karim-lakhani 📌 Try ChatLLM by Abacus AI, all the top AI models in one place for $10 a month: https://chatllm.abacus.ai/svg Using AI every day doesn’t automatically make you better at your job. So how do you use it to build real expertise? In this episode, I talked to Karim R. Lakhani, a Harvard Business School professor whose research with BCG, Procter & Gamble, and H&M explores how AI changes the way we work. We talk about three ways people work with AI – cyborgs, centaurs, and self-automators – and why the way you delegate matters for what you actually learn. Karim shares why he never takes the first answer, how to make AI challenge your assumptions, and why “the AI gave me that” is no excuse for poor work. We also get into what Harvard MBA students now build with AI, how juniors can develop judgment and taste, why CEOs need hands-on experience with these tools, and how to set bigger business goals as AI gets more capable. And we end with a question every founder should be asking: when the next AI model launches, does your business become more valuable – or does the model absorb what you do? Timestamps: 00:00 - Why using AI isn’t enough 2:07 - Cyborgs, centaurs, self-automators: 3 ways to use AI 04:24 - Why AI can sound convincing and still be wrong 09:00 - The prompts Karim uses to challenge AI 11:49 - Why judgment and taste still matter 15:48 - How juniors can build experience with AI 19:58 - What Harvard MBA students now have to build 23:21 - Why CEOs need to use AI themselves 28:30 - Set bigger business goals – then bring in AI 34:40 - What happens when AI makes expertise widely available? 38:36 - Expert with AI: why grind beats talent 41:15 - Will AI agents decide what we watch? 43:39 - Are middle managers more at risk than juniors? 45:37 - Walmart, Kmart or Bezos: the question for every company 48:45 - Will the next AI model strengthen your business? 49:14 - Why leaders have to use AI themselves 📌 Help shape what’s next on Silicon Valley Girl! Take our quick survey: https://docs.google.com/forms/d/e/1FAIpQLSdQEqUy3wiE7TlzM_haWLEcgV8eJUeSBIVaK2QjDsAVEsXm3w/viewform?usp=publish-editor Links: 🔗 My Instagram: https://www.instagram.com/siliconvalleygirl/ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠𝕏 : ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://x.com/siliconvalleymm⁠⁠⁠⁠⁠⁠⁠⁠ 💼 LinkedIn: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.linkedin.com/in/marinamogilko⁠⁠⁠⁠⁠⁠⁠⁠ 📌 My Companies & Products: https://partnerships.marinamogilko.co #SiliconValleyGirl #Podcast

SPEAKERS

  • Karim R. Lakhani

    guest

    Harvard Business School professor and AI/innovation researcher focused on organizational adoption and experimentation with AI.

  • Marina Mogilko

    host

    Creator and host of Silicon Valley Girl who interviews AI founders and experts and publishes the Future Proof newsletter.

EPISODE SUMMARY

In this episode of Silicon Valley Girl, featuring Karim R. Lakhani and Marina Mogilko, Harvard AI Professor: The People Most at Risk From AI Aren’t Who You Think explores aI rewards active judgment, not “press play” automation at work Karim Lakhani argues AI is reshaping occupations and organizations, but for the foreseeable future it remains “humans with AI” rather than machines fully replacing people.

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