SpaceX, OpenAI And Anthropic IPOs Spark One Big Investor Question

Kevin O’Leary said investors should not try to choose one winner among possible OpenAI, Anthropic and SpaceX IPOs, arguing that broad exposure may be safer.

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O’Leary IPO View

O’Leary made the comments on Fox and later expanded on the argument in a post on X, where he said investors are already debating which company could become the biggest public-market winner.

“Don’t try and pick winners because you have no idea,” O’Leary said.

He framed the group as a sector-wide opportunity rather than a contest with one clear champion, saying investors may be better served by owning exposure across the leading names.

The comments came as OpenAI reportedly filed confidentially for an initial public offering, joining Anthropic and SpaceX among the most closely watched potential listings on Wall Street.

O’Leary said the market is still too early in the artificial intelligence cycle to know which company will dominate, especially as software, infrastructure and consumer products evolve at different speeds.

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SpaceX AI Bets

O’Leary described SpaceX as a bet on Elon Musk and Starlink, the satellite internet business he said is already generating profits.

“Buying a piece of Elon has never been a bad investment, period,” he said, citing Musk’s record of building companies around ambitious technical goals.

He also pointed to Anthropic as a serious contender, saying he adopted Claude across his organization after employees tested rival AI tools.

“I use it every day. I really like it,” O’Leary said, adding that Anthropic appears to be performing well in the AI software race.

He did not focus on ChatGPT or other specific OpenAI products, but said the company remains one of the industry’s most important names and should be considered alongside its rivals. The broader point is that IPO demand around AI-linked companies has become a market story of its own, with investors treating private technology leaders as a new public-market category before their listings arrive.

That is why O’Leary’s argument rests less on one company’s current product and more on the difficulty of judging long-term winners before the next public AI cycle fully develops.

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