About 90 venture capital firms and money managers have invested in both OpenAI and Anthropic, according to a PitchBook analysis, an unusually heavy overlap for two companies competing head-on for AI talent, customers, and policy wins. OpenAI shares roughly 42% of its overall investor base with Anthropic, and about a third of Anthropic's backers also hold OpenAI stakes. Each lab has raised well more than $100 billion at valuations approaching $1 trillion. The pattern suggests the smart money is hedging, not picking a winner.
The shared roster reads like the front page of Sand Hill Road: Sequoia Capital, Greylock, Founders Fund, Redpoint Ventures, Emerson Collective, and Sound Ventures all sit on both cap tables. Anthropic's fundraising announcement last week named 31 investors, and at least 13 of them are already OpenAI backers. The true overlap is likely higher — Amazon, for instance, is missing from PitchBook's OpenAI roster despite holding a position. Three venture historians described the dual exposure as unusual or unprecedented for direct rivals at this scale.
The behavior cuts against a long-standing venture norm. Firms have historically concentrated bets on one company per category to avoid conflicts over board seats, proprietary roadmaps, and governance disputes. That discipline is breaking down because the companies themselves have outgrown it.
“The ownership structure you are seeing right now is a real insight into how sophisticated investors are viewing this market, and the answer seems to be that few are convinced this will be a winner-take-all market, or if it is, who the dominant player will be.”— Tom Nicholas, Harvard Business School professor
Key facts
- 01About 90 venture firms and money managers have invested in both OpenAI and Anthropic, per PitchBook data.
- 0242% of OpenAI's investors also hold Anthropic stakes; roughly a third of Anthropic backers are on OpenAI's cap table.
- 03Of the 31 investors named in Anthropic's latest raise last week, at least 13 also own OpenAI shares.
- 04Each company has raised more than $100 billion at valuations approaching $1 trillion ahead of expected IPOs this year.
- 05Roughly 30 of the overlapping investors are hedge funds, private equity firms, or wealth managers.
Tom Nicholas, a Harvard Business School professor who wrote a history of the venture industry, frames the overlap as a verdict on the AI race itself. If the smartest investors in the world are unwilling to bet on a single winner, that says something about how unsettled the foundation-model market remains, even three years into the generative AI boom.
Roughly 30 of the overlapping backers are hedge funds, private equity firms, or wealth managers — investor classes that routinely spread bets across competitors. The rest are traditional angel and venture firms now adopting the same posture. With OpenAI and Anthropic each commanding hundreds of billions in valuation, any single fund's stake is small enough that the classic conflict-of-interest concerns largely evaporate. There is less governance influence on offer and less proprietary information to leak.
Kyle Stanford, director of venture capital research at PitchBook, argues the math has fundamentally changed. The firms are not treating OpenAI and Anthropic as substitutable products; they are treating both as required exposure to a category they cannot afford to miss. The IPO calendar sharpens that logic — both labs aim to go public this year, and last year only two-thirds of IPOs delivered a meaningful first-day pop. Holding both names doubles the chance of catching the one that prints.
“Investors have traditionally wanted to invest in one or the other to make one the winner. These companies are growing so big, that split doesn't really matter.”— Kyle Stanford, Director of venture capital research at PitchBook
Several of the same investors also backed Elon Musk's xAI, which was acquired by SpaceX this year. SpaceX is expected to list publicly next week. The closest historical parallel is SoftBank's decade-ago strategy of backing competing ride-hailing companies across global markets, though even SoftBank stopped short of holding both Uber and Lyft in the US.
Not every firm has crossed the line. Khosla Ventures and Thrive Capital have stuck with OpenAI alone. Menlo Ventures and General Catalyst back only Anthropic. Matt Murphy, a partner at Menlo, told Wired the firm goes "all in" on portfolio companies and explicitly declined to consider OpenAI because the two labs are headed in the same direction, not adjacent ones. Thrive founder Joshua Kushner pointed to a year-old post in which he described his firm as serial monogamists on competitive bets.
“Call us old school … but we are serial monogamists.”— Joshua Kushner, Thrive Capital founder
Some overlap is also accidental. Madrona Ventures ended up holding shares in both labs after one of its portfolio startups was bought by OpenAI and another by Anthropic. As AI startups pivot more frequently to chase shifting model capabilities, those inadvertent collisions are likely to multiply. Ankur Nagpal, general partner at USVC, which pools individual investments starting at $500 into private funds, says the goal is simply to give retail investors a slice of the most valuable companies of the next decade.
The strategy is not riskless. Concentrated bets historically generate the outsized returns that define venture capital, and a fund that owns small slivers of every major AI lab may capture the category but miss the multiple that comes from picking right. Steve Kaplan, a University of Chicago economist, attributes some of the dual investing to plain fear of missing out rather than a coherent thesis. If one lab eventually dominates inference economics or agentic workloads, the firms that doubled up will have effectively diluted their winning bet with capital tied up in the loser.
The dual-cap-table pattern is the clearest market signal yet that the foundation-model race remains genuinely contested at the top. If Sequoia and Founders Fund believed either OpenAI or Anthropic had locked in a durable lead, they would not be writing checks to both. For the labs themselves, the overlap means less leverage with capital partners and more pressure to differentiate on product, enterprise revenue, and IPO execution. The investors are buying the category. The companies still have to prove which of them owns it.
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