Nvidia CEO admits missing Anthropic investment while defending AI dominance
Nvidia chief executive Jensen Huang said he made a mistake by not investing earlier in Anthropic, as he pushed back against claims that custom AI chips from major tech rivals threaten Nvidia’s leadership. Speaking in a recent podcast, Huang argued that building a platform superior to Nvidia’s is far more difficult than critics suggest.
Huang addressed the growing use of alternative chips in leading AI models, including Claude and Gemini, which rely on systems developed by Google and Amazon. He said Anthropic’s reliance on these chips reflects historical circumstances rather than a shift in competitive advantage. According to Huang, large scale financial backing from cloud providers secured Anthropic’s long term alignment with their hardware.
He acknowledged that Nvidia had not acted early enough. At the time, the company was not positioned to commit the billions required to support an AI lab like Anthropic. Huang said such investments, ranging from five to ten billion dollars, were beyond what traditional venture capital would typically provide. He described Anthropic as an exceptional case rather than evidence of a broader industry trend.
Huang emphasized Nvidia’s broader strategy, arguing that its accelerated computing platform extends far beyond artificial intelligence. He pointed to applications in scientific research, including molecular dynamics and particle physics, as well as large scale data processing. He said this multi use architecture differentiates Nvidia from competitors focused on narrower chip designs.
He also highlighted Nvidia’s software ecosystem, including CUDA, and its installed base of hundreds of millions of GPUs across global cloud infrastructure. Huang said this scale creates a compounding advantage that custom chips cannot easily match. He challenged competitors to demonstrate better performance to cost ratios, stating that no alternative platform has proven superior in independent benchmarks.
On investment strategy, Huang said Nvidia is backing the broader AI ecosystem rather than selecting individual winners. The company has committed significant funding to firms such as OpenAI and Anthropic, with further investments unlikely ahead of expected public listings. He said Nvidia moved as soon as it was able, but admitted that with hindsight, earlier action would have been preferable.
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