Eric Vishria: Where is the Value in AI - Chips, Models or Apps? | E1206

ℹ️ EPISODE INFO

Released

September 25, 2024

Duration

1h 8m

Channel

The Twenty Minute VC

Watch on YouTube

▶ Open ↗

📝 EPISODE DESCRIPTION

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. ----------------------------------------------- Timestamps: (00:00) Intro (01:00) Reflecting on CEOship at RockMelt (12:48) The Impact of AI on Markets (22:21) Does AI Enhance Revenue or Erode Margins for Companies? (25:13) Analyzing Revenue Quality: Sugar High vs. Sustainable Revenue (30:36) Value in the Stack: Compute vs. Models (39:43) Are We Overestimating AI's Impact in the Short Term? (48:54) Does a $3M Gross Margin Matter in the Long Run? (51:14) Balancing Time Across Sourcing, Diligence, and Servicing (55:42) Takeaways from Working with Bill Gurley, Peter Fenton & Matt Cohler (01:00:07) Quick-Fire Round ----------------------------------------------- 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?

1. How to Invest in AI Application Layer Successfully: How does Eric analyse between a standalone and deep product vs a product that a 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”?

1. 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?

1. Does AI Break Venture 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? ----------------------------------------------- Subscribe on Spotify: https://open.spotify.com/show/3j2KMcZTtgTNBKwtZBMHvl?si=85bc9196860e4466 Subscribe on Apple Podcasts: https://podcasts.apple.com/us/podcast/the-twenty-minute-vc-20vc-venture-capital-startup/id958230465 Follow Harry Stebbings on Twitter: https://twitter.com/HarryStebbings Follow Eric Vishria on Twitter: https://twitter.com/ericvishria Follow 20VC on Instagram: https://www.instagram.com/20vchq Follow 20VC on TikTok: https://www.tiktok.com/@20vc_tok Visit our Website: https://www.20vc.com Subscribe to our Newsletter: https://www.thetwentyminutevc.com/contact ----------------------------------------------- #20vc #harrystebbings #ericvishria #benchmark #gp #nvidia #venturecapital #foundationmodels #ai #applicationlayer

🎤 SPEAKERS

• Eric Vishria

  guest

• Harry Stebbings

  host

• Narrator

  other

🧾 EPISODE SUMMARY

In this episode of The Twenty Minute VC, featuring Eric Vishria and Harry Stebbings, Eric Vishria: Where is the Value in AI - Chips, Models or Apps? | E1206 explores eric Vishria on AI Value, Venture Discipline, and Founder Insight Eric Vishria, Benchmark general partner and former founder, discusses where value will accrue in the AI stack, arguing that foundational models are rapidly depreciating assets while infrastructure and applications with real insight offer better long-term opportunity.

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