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a16z Podcast

When Giants Don’t Go Public: Inside the $5 Trillion Private Tech Market

47 min episode · 2 min read
·

Episode

47 min

Read time

2 min

Topics

Relationships, Investing, Startups

AI-Generated Summary

Key Takeaways

  • Private market value shift: Ten years ago, 88% of market cap creation for top tech companies happened post-IPO in public markets. For recent IPOs, 55% of value was created while still private. Investors seeking hypergrowth exposure — defined as 30%+ annual growth — will find only three qualifying companies in public markets today versus dozens privately.
  • SPV risk management: Founders at companies like Anduril actively reject SPV investors because these vehicles obscure who actually sits on the cap table. When evaluating growth-stage investors, founders should demand direct fund investment rather than assembled single-company vehicles, which concentrate risk and misrepresent capital sources during due diligence conversations.
  • Employee liquidity mechanics: Private companies running twice-yearly tender offers — SpaceX being the primary model — allow employees to sell roughly 25% of vested shares at set prices. This structure approximates public RSU dynamics without stock volatility, making it a viable retention tool when competing against Meta or Alphabet's quarterly net-stock deposits.
  • Legacy software vulnerability: Net dollar retention across incumbent SaaS companies has declined steadily since 2021 as enterprise budgets shift toward AI initiatives. Incumbents face a two-part threat: new AI vendors building action layers on top of existing systems of record, plus accelerated software development enabling competitors to rapidly expand into adjacent product categories.
  • Outcome-based pricing as the decisive shift: Customer support software is the first sector where verifiable task completion enables outcome-based pricing, replacing seat-based subscriptions. When enterprises standardize on paying per result rather than per user, incumbents face a structural disadvantage because repricing existing contracts requires dismantling revenue models built over decades, while new entrants design around outcomes from day one.

What It Covers

David George, general partner at a16z running their growth fund, explains why $5 trillion in private tech market cap now equals nearly 25% of the S&P 500, how companies like Stripe, SpaceX, and OpenAI stay private longer, and why outcome-based pricing may permanently disadvantage legacy software incumbents.

Key Questions Answered

  • Private market value shift: Ten years ago, 88% of market cap creation for top tech companies happened post-IPO in public markets. For recent IPOs, 55% of value was created while still private. Investors seeking hypergrowth exposure — defined as 30%+ annual growth — will find only three qualifying companies in public markets today versus dozens privately.
  • SPV risk management: Founders at companies like Anduril actively reject SPV investors because these vehicles obscure who actually sits on the cap table. When evaluating growth-stage investors, founders should demand direct fund investment rather than assembled single-company vehicles, which concentrate risk and misrepresent capital sources during due diligence conversations.
  • Employee liquidity mechanics: Private companies running twice-yearly tender offers — SpaceX being the primary model — allow employees to sell roughly 25% of vested shares at set prices. This structure approximates public RSU dynamics without stock volatility, making it a viable retention tool when competing against Meta or Alphabet's quarterly net-stock deposits.
  • Legacy software vulnerability: Net dollar retention across incumbent SaaS companies has declined steadily since 2021 as enterprise budgets shift toward AI initiatives. Incumbents face a two-part threat: new AI vendors building action layers on top of existing systems of record, plus accelerated software development enabling competitors to rapidly expand into adjacent product categories.
  • Outcome-based pricing as the decisive shift: Customer support software is the first sector where verifiable task completion enables outcome-based pricing, replacing seat-based subscriptions. When enterprises standardize on paying per result rather than per user, incumbents face a structural disadvantage because repricing existing contracts requires dismantling revenue models built over decades, while new entrants design around outcomes from day one.

Notable Moment

George reveals that a16z is invested in companies representing approximately two-thirds of all AI revenue across the private market. He frames AI model capability improvement — doubling long-task completion ability every six to seven months — as sufficient to support ten to twenty years of application development even if model training stopped today.

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Episode Transcript

If you actually want to invest in the highest growth, most promising companies that could be that next Mag seven, chances are they're in the private markets. You know, AI, first of all, I think these have the potential to be some of the best businesses ever created. They're run by exceptional founders. They're building products that have grown at rates that we've never ever seen before. So, you know, they're kind of speed running the process of company growth. Models are improving at a, like, eye popping rate. You know, they can basically double their ability to complete long form tasks over six to seven months. And so, you know, if you were to just arrest model development today, I think we would have the chance to build ten to twenty years of really interesting applications on top of it. Highly valued private tech companies now represent about 5,000,000,000,000 in market cap, almost a quarter of the S and P 500. Ten years ago, 88% of market cap creation for the best tech companies happened after they went public. For the recent crop of IPOs, 55% happened while they were still private. David George runs the growth fund at a sixteen z. This conversation, previously aired on Bloomberg's Odd Lots podcast, covers why companies stay private longer, the SPV problem, why legacy software is getting crushed, and why outcome based pricing could be the business model shift that finishes off incumbents. Bloomberg's Odd Lots hosts, Joe Weisenthal and Tracy Alloway, speak with David George, general partner at a sixteen z. Hello, and welcome to another episode of the Odd Lots podcast. I'm Jill Wiesenthal. And I'm Tracy Alloway. Tracy, it feels like 2026 could be a big year for some mega IPOs that have been private for a while. There's talk about a SpaceX IPO, possibly, maybe some of the big AI labs, like, some pretty massive companies that might be hitting the market soon. Someone recently gave me a Facebook IPO hat from JPMorgan Oh, that's great. On it. Like, I'm very proud. I need to start wearing it around the office. Yeah. I remember. Was, like, that was a mega IPO. Was a mega IPO. At the time, and there was so much hype about it and then, like, technical difficulties. Yeah. So many people eager to get in on that one. It's so many funny people called that a flop, I guess, because the technical difficulties, and it didn't do that great for a little bit. That would have been a great time to buy it. Yeah. And Seriously. The interesting thing about the, The interesting thing about the, market or one of the interesting things about the market is you have these companies that are gonna IPO when they're already gigantic. So, like, people point out that in earlier eras, they might have IPOed when they're, like, billion dollar companies, and now they're, like, octacorns or whatever. And then you have other companies that are …

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