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Speaking at a recent conference, CEO Jensen Huang suggested Nvidia’s latest investments in OpenAI and Anthropic could be the company’s last major ones.
His reasoning: both AI labs are expected to eventually go public, which would naturally limit opportunities for massive private funding rounds.
But analysts say the explanation doesn’t fully tell the story.
Nvidia already sits at the center of the AI boom because nearly every major AI model — from OpenAI’s systems to Anthropic’s assistants — runs on Nvidia GPUs. So the company doesn’t necessarily need ownership stakes to profit.
In fact, many of the investments have a circular dynamic: AI startups raise billions from investors (sometimes including Nvidia) and then spend a large portion of that capital buying Nvidia chips to train their models.
So whether Nvidia owns shares or not, it still wins.
Huang has dismissed speculation about tensions with AI partners, saying there’s no conflict between Nvidia and the companies building on its hardware.
But the move suggests Nvidia may be shifting its strategy — away from equity bets on AI labs and toward dominating the infrastructure layer powering the entire industry.
Why this matters:
This highlights a deeper truth about the AI race: the biggest winner might not be the company building the best model — but the one selling the compute to everyone else.
By focusing on chips instead of ownership stakes, Nvidia positions itself like the “picks and shovels” provider of the AI gold rush.
No matter which lab leads — OpenAI, Anthropic, or the next breakthrough startup — they’ll likely still need Nvidia’s hardware to train and run their models.
And in the long run, owning the infrastructure may be the most powerful position in the entire AI ecosystem.