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20VC: Benchmark's Eric Vishria on Where is the Value in AI: Chips, Models or Apps | Why Nvidia Will Not Be The Only Game in Town | The Commoditisation of Foundation Models | Which AI Apps Have Sustaining Value vs Hype and Short Term Revenue

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Manage episode 441702310 series 73567
Inhoud geleverd door The Twenty Minute VC and Harry Stebbings. Alle podcastinhoud, inclusief afleveringen, afbeeldingen en podcastbeschrijvingen, wordt rechtstreeks geüpload en geleverd door The Twenty Minute VC and Harry Stebbings of hun podcastplatformpartner. Als u denkt dat iemand uw auteursrechtelijk beschermde werk zonder uw toestemming gebruikt, kunt u het hier beschreven proces https://nl.player.fm/legal volgen.

Eric Vishria is a General Partner @ Benchmark Capital, one of the world's leading venture firms. At Benchmark, Eric has served on over 10 boards including Confluent (CFLT), Amplitude (AMPL), Benchling, Contentful, Cerebras and several other private companies. Prior to joining Benchmark, Eric was the Co‐Founder and CEO of RockMelt, acquired by Yahoo in 2013.

In Today's Episode with Eric Vishria We Discuss:

1. How to Make Money Investing in AI Today:

  • How does Eric think through where value will accrue in the stack between chips, models and applications?
  • Why does Eric believe foundation models are the fastest commoditising asset in history?
  • Why does Eric believe that Nvidia will not be the only game in town in the next 3-5 years?

2. How to Invest in AI Application Layer Successfully:

  • How does Eric analyse between a standalone and deep product vs a product that foundation model will commodities and incorporate into their feature set?
  • How does Eric differentiate between the 10 different players all going after customer service, or sales tools or data analyst products etc?
  • How does Eric analyse the quality of revenue of these AI application layer companies? What does he mean when he describes their revenue as "sugar high"?

3. How the Best VC Firm Makes Decisions:

  • What is the decision-making process for all new deals in Benchmark?
  • As specifically as possible, how does the voting process inside Benchmark work?
  • What deal was the most contentious deal that went through? What did the partnership learn?
  • How has the Benchmark decision-making process changed over 10 years?

4. Does AI Break Venture Capital Models:

  • Does the price of AI deals and size of their rounds break the Benchmark model?
  • Will foundation model companies all be acquired by the larger cloud providers?
  • Unless multiples reflate in the public markets, does venture as an asset class have hope?
  • Why does AI make paying ludicrously high prices potentially rational?

  continue reading

1217 afleveringen

Artwork
iconDelen
 
Manage episode 441702310 series 73567
Inhoud geleverd door The Twenty Minute VC and Harry Stebbings. Alle podcastinhoud, inclusief afleveringen, afbeeldingen en podcastbeschrijvingen, wordt rechtstreeks geüpload en geleverd door The Twenty Minute VC and Harry Stebbings of hun podcastplatformpartner. Als u denkt dat iemand uw auteursrechtelijk beschermde werk zonder uw toestemming gebruikt, kunt u het hier beschreven proces https://nl.player.fm/legal volgen.

Eric Vishria is a General Partner @ Benchmark Capital, one of the world's leading venture firms. At Benchmark, Eric has served on over 10 boards including Confluent (CFLT), Amplitude (AMPL), Benchling, Contentful, Cerebras and several other private companies. Prior to joining Benchmark, Eric was the Co‐Founder and CEO of RockMelt, acquired by Yahoo in 2013.

In Today's Episode with Eric Vishria We Discuss:

1. How to Make Money Investing in AI Today:

  • How does Eric think through where value will accrue in the stack between chips, models and applications?
  • Why does Eric believe foundation models are the fastest commoditising asset in history?
  • Why does Eric believe that Nvidia will not be the only game in town in the next 3-5 years?

2. How to Invest in AI Application Layer Successfully:

  • How does Eric analyse between a standalone and deep product vs a product that foundation model will commodities and incorporate into their feature set?
  • How does Eric differentiate between the 10 different players all going after customer service, or sales tools or data analyst products etc?
  • How does Eric analyse the quality of revenue of these AI application layer companies? What does he mean when he describes their revenue as "sugar high"?

3. How the Best VC Firm Makes Decisions:

  • What is the decision-making process for all new deals in Benchmark?
  • As specifically as possible, how does the voting process inside Benchmark work?
  • What deal was the most contentious deal that went through? What did the partnership learn?
  • How has the Benchmark decision-making process changed over 10 years?

4. Does AI Break Venture Capital Models:

  • Does the price of AI deals and size of their rounds break the Benchmark model?
  • Will foundation model companies all be acquired by the larger cloud providers?
  • Unless multiples reflate in the public markets, does venture as an asset class have hope?
  • Why does AI make paying ludicrously high prices potentially rational?

  continue reading

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