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Chronicles

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PitchBook: investors pumped $1.37B+ into generative AI companies across 78 deals in 2022, almost as much as was invested in the previous five years combined

An investment frenzy over “generative artificial intelligence” has gripped Silicon Valley, as tools that generate text …

New York Times

Context & Ripple Effects

The 2022 funding surge was an early marker of a category re-rating that became clearer after ChatGPT triggered a broader VC rush into generative AI. It mattered because generative AI attracted expanding investment even as the wider US venture market contracted later in 2023.

The initial rush did not remain a one-year anomaly: funding later spread across seed, early- and late-stage rounds, and PitchBook reported $56B in global generative-AI VC funding in 2024. The arc also shifted from broad investor enthusiasm toward greater influence by large strategic backers.

First-order effects

  • The 78 funded generative-AI companies entered 2023 with a far larger pool of capital, while investors elevated the category from a niche allocation to a priority investment area.
  • Investors directing nearly as much funding in one year as in the preceding five years intensified competition for generative-AI startups and their technical talent.

Second-order effects

  • Generative AI gained relative financing resilience during the startup downturn: later in 2023, US venture funding fell while generative-AI investment rose, as tracked in PitchBook's downturn-era funding data.
  • The enlarged funding pipeline supported a wider startup funnel, reflected in the 198 angel and seed deals reported for generative-AI companies in the first half of 2024.

Third-order effects

  • As funding scales, strategic capital can shape the market more than conventional VC: Microsoft, Google and Amazon accounted for 66% of the $27B raised by generative-AI startups in 2023, concentrating influence over the companies receiving the largest checks.
  • If that funding pattern persists, generative AI will be structured around a broad early-stage startup base but a narrower set of platform-linked financiers at the top end.

The trend: Generative AI is moving from an emerging VC category toward a capital-intensive market whose largest financings are increasingly shaped by major platform companies.

Discussion

  • @spencerrascoff Spencer Rascoff on x
    Bye bye web3, hello AI. Easy come, easy go. https://www.nytimes.com/...
  • @tomphilpott Tom Philpott on x
    With crypto, web3, and fake meat all tattered by reality, VC is touting AI as the Next Thing. Guessing there's lots of fluff in there, too. https://www.nytimes.com/...
  • @zoecello @zoecello on x
    I am sure AI has lofty origins but now it's just a another gold rush. But there will be no gold for the artists who's life work was trolled to train it, work referred to in this article as “data”. https://www.nytimes.com/...
  • @pstasiatech Paul Triolo on x
    A New Area of A.I. Booms, Even Amid the Tech Gloom No area has created more excitement than generative artificial intelligence, the term for technology that can generate text, images, sounds and other media in response to short prompts. https://www.nytimes.com/...
  • @cademetz Cade Metz on x
    “I feel like the person who was a week early arriving at the airport for a flight — and now the flight is boarding.” @eringriffith and I take you inside the generative AI funding frenzy: https://www.nytimes.com/...
  • @scottlincicome Scott Lincicome on x
    “A New Area of A.I. Booms, Even Amid the Tech Gloom” https://www.nytimes.com/... “The clamor around OpenAI shows that even in the most dismal tech downturn in a generation, Silicon Valley's deal-making machine is still kicking.”
  • @parismarx Paris Marx on x
    After the failure of web3 and in the midst of a tech downturn, Silicon Valley is starting to craft its new narrative for how it's going to revolutionize society and AI tools are at its core. Just ignore how prone they are to overpromise and underdeliver. https://www.nytimes.com/.…