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How AI Is Rewriting the Power Law of Venture Capital

September 10, 2026

AI Summary

5 min read

In 2021 and 2022, about $200 billion in debt was taken out to finance software LBOs at valuations averaging 25 to 32 times EBITDA. Those companies are now worth roughly half that. The power law in venture capital has always been extreme, but it is now more extreme than it has been in the last 10 to 20 years. For the first time, capital thrown at a company can directly compound its advantage, because dollars convert into compute, and compute makes the product better. This is the central argument of a conversation between a16z’s Jim Caw and David George and Accelerate Partners’ Adam Verdian: AI is not just creating faster-growing companies; it may be rewriting the power law itself, and that changes how allocators should think about portfolio construction, access, and sizing.

Why AI Breaks the Old Rules of Capital Deployment

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What you'll learn

  • 1 (00:00) **The Power Law Has Become More Extreme** - The hosts open with a striking data point: only 20 out of 3,000 US venture firms have achieved consistent 3x returns over two decades, setting up the thesis that AI is fundamentally reshaping value creation and portfolio construction.
  • 2 (02:52) **Why Capital Compounds Advantage in AI** - David George explains the mechanism: economies of scale are now a real and present dynamic in AI markets, unlike in traditional software or network-effect businesses.
  • 3 (04:52) **AI's Addressable Market Extends Far Beyond Software** - Ron Verdian argues that AI is not just the next evolution of software; it is attacking labor itself, a market roughly 40x larger than traditional enterprise software spend.
  • 4 (08:54) **Winner-Take-All vs. Category Expansion** - The panel pushes back on zero-sum thinking about which layer of the AI stack will "win," arguing that the market is so large that everything may work simultaneously.
  • 5 (11:28) **Access, Selection, and Sizing: The LP Imperative** - Ron presents data from 3,000 US venture firms: only 20 have achieved consistent 3x net returns over two decades, and the consistent ones all had access to category-defining companies every vintage.
  • 6 (13:57) **The "Death of the Middle" in Venture Firms** - The conversation shifts to how venture firms are stratifying into winners and also-rans, driven by founder preferences for brands that can de-risk their outcomes.
  • 7 (19:03) **The Flywheel: Early Stage Feeds Late Stage** - David George argues that the strongest late-stage franchises have a huge early-stage franchise attached, because early-stage relationships provide the access, information, and trust needed to make large later-stage bets.

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Guests on this episode

Show Notes

a16z’s Jen Kha and David George sit down with Accolade Partners’ Aram Verdiyan to discuss how AI is changing the power law of technology investing, why the largest companies can compound advantages in ways that weren’t possible before, and what that means for how investors construct portfolios.

They explore why AI may be much bigger than traditional software, with applications reaching into labor, healthcare, transportation, services, and other major parts of the economy. David explains why capital itself can now reinforce an AI company’s advantage by buying more compute, while Aram makes the case that AI should increasingly be treated as a core allocation rather than a satellite position.

The conversation also gets into the changing economics of venture and growth investing, how to distinguish real AI traction from early hype, what AI means for legacy software and private equity, and why some of the largest opportunities may still be ahead in robotics, autonomy, healthcare, energy, and physical infrastructure.


Resources:

Follow Aram Verdiyan on X: https://x.com/aramverdi

Follow Jen Kha on X: https://x.com/jkhamehl

Follow David George on X: https://x.com/DavidGeorge83


 

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Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures.


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