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How Top 1% AI-Native Organizations Actually Make Money | Harvard Business School, Rem Koning

Rembrand M. Koning, Associate Professor at Harvard Business School, explains how AI is reshaping the playing field for entrepreneurs around the world.

Rem Koningguest
Mar 6, 202618mWatch on YouTube

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Episode Details

EPISODE INFO

Released
March 6, 2026
Duration
18m
Channel
EO Studio
Watch on YouTube
▶ Open ↗

EPISODE DESCRIPTION

Rembrand M. Koning, Associate Professor at Harvard Business School, explains how AI is reshaping the playing field for entrepreneurs around the world. 00:00 Intro 1:30 Lesson 1: Your Organization isn't AI native yet 05:05 Allocate Intelligence 07:05 Lesson 2: Equalizer or Amplifier? - Why some thrive while others fall behind 11:57 Lesson 3: The Next Trillion Dollar Businesses - The playing field is shifting 17:16 Next episode 'The Thinking Mode' is EO's interview series exploring how the world's sharpest minds are navigating the age of AI. 🔗 Read the full transcription of Rembrand’s interview: https://www.eomag.io/article/rem-koning-harvard?utm_source=youtube&utm_medium=description EO stands for Entrepreneur& Opportunities. As we're looking to feature more inspiring stories of entrepreneurs all over the world, don't hesitate to contact us at partner@eoeoeo.net X | @eostudi0 LinkedIn | @EO STUDIO Newsletter | https://www.eomag.io/subscribe?utm_source=youtube&utm_medium=description

SPEAKERS

  • Rem Koning

    guest

    Harvard Business School professor and researcher focused on entrepreneurship, innovation, and the business impacts of generative AI.

EPISODE SUMMARY

In this episode of EO Studio, featuring Rem Koning, How Top 1% AI-Native Organizations Actually Make Money | Harvard Business School, Rem Koning explores AI-native advantage comes from allocating intelligence and embedding it profitably A field experiment with WhatsApp-delivered ChatGPT for Kenyan entrepreneurs found AI can reduce profits for low performers while boosting results for high performers, because outcomes depend on users’ judgment in filtering advice.

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