Reflecting on the early days of the AI boom, Huang said Nvidia didn’t move quickly enough to back foundational AI labs like Anthropic — even as the need for massive compute funding was becoming evident.
The $10 Billion Reality Check
Responding to Dwarkesh Patel on the podcast, Huang pointed to a structural shift that Nvidia initially underestimated: frontier AI labs weren’t venture-scale bets.
“What they were trying to do couldn’t have been done through VCs,” he said, emphasizing that firms like Anthropic required multi-billion-dollar — often $5 billion to $10 billion-scale — backing. That’s far beyond traditional startup funding models.
At the time, Nvidia lacked both the precedent and the “sensibility” to deploy capital at that scale outside its core business, Huang admitted.
Course Correction In Real Time
Nvidia has since pivoted.
Huang added that Nvidia is now “delighted to invest” in players like OpenAI and Anthropic, signaling a more aggressive capital strategy as AI scales into a trillion-dollar opportunity.
The shift reflects a broader realization: in AI, supplying chips isn’t enough — owning exposure to the labs driving demand may matter just as much.
What It Means For Investors
The takeaway is less about a past miss and more about Nvidia’s evolving playbook.
While earlier phases of AI were defined by hardware dominance, the next phase hinges on capital allocation and ecosystem positioning — where Nvidia is now playing catch-up.
As Huang put it, the company won’t make the same mistake again.
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