Best of TechCrunch — March 2026

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    Jensen Huang says Nvidia is pulling back from OpenAI and Anthropic, but his explanation raises more questions than it answers

    Nvidia CEO Jensen Huang stated at the Morgan Stanley TMT conference that his company's investments in OpenAI and Anthropic will likely be its last, citing IPO windows closing as the reason. However, the explanation is questioned given several complicating factors: circular investment logic (Nvidia investing in companies that buy its chips), Anthropic CEO Dario Amodei's public criticism of Nvidia's chip export practices, the Trump administration blacklisting Anthropic from federal use, and OpenAI's subsequent Pentagon deal. Nvidia's original $100 billion OpenAI pledge was ultimately reduced to $30 billion. The piece suggests Nvidia may be quietly exiting a politically and commercially entangled situation rather than simply following investment strategy.

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    Google just gave Sundar Pichai a $692M pay package

    Alphabet has structured a three-year compensation package for Google CEO Sundar Pichai potentially worth $692 million, largely tied to performance metrics including new stock incentives linked to Waymo and Wing, its drone delivery venture. The deal could make Pichai one of the highest-paid executives globally. Meanwhile, Google founders Larry Page and Sergey Brin have been making headlines for purchasing lavish Miami properties, widely interpreted as a response to California's proposed Billionaire Tax Act targeting net worths over $1 billion.

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    Patreon CEO calls AI companies’ fair use argument ‘bogus,’ says creators should be paid

    Patreon CEO Jack Conte, speaking at SXSW, argues that AI companies' fair use defense for training on creators' content is hypocritical because they simultaneously pay major publishers like Disney and Condé Nast for licensed content. He contends that if fair use were a sound legal argument, these companies wouldn't be cutting deals with large rightsholders while leaving individual creators uncompensated. Conte frames AI as another wave of disruption creators must navigate, but insists that compensation for training data is a matter of fairness and societal value for creativity.

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