Business Insider Michael Burry flagged a potential "disruption" for AI stocks that could stem from Etched, the tech startup hiring top Nvidia talent.
- "Big Short" trader Michael Burry warns that Nvidia faces big competition from Etched.
- He pointed to key details about the
Michael Burry has fired another shot at AI kingmaker Nvidia.
The investor, who rose to fame in "The Big Short," took aim at the Jensen Huang-led chipmaker in a new Substack post on Tuesday. This time, he flagged what he sees as "serious competition" for the GPU firm, pointing to reports about Etched, an AI startup that has nabbed top talent at Nvidia and just secured a $700 million funding round with Jane Street, putting its valuation at a reported $21 billion.
Burry pointed to key details about Etched's recruitment and the deployment of its AI chips, citing the Journal's report and information he received from an unnamed company insider.
The firm is efficient. Etched said it took only 44 days to have its AI chips runninginferenceworkloads. That process generally takes six months or longer.The firm hires from Nvidia. Etched also has a large group of staffers whopreviously worked at Nvidia, making up around 15% of its total workforce, the Journal's report said.
"This is serious competition for NVDA," Burry wrote on Tuesday. "I am told by a semi insider this is looking at 10x performance at lower cost per die. That it came up so fast is a tell that disruption is in the pipeline, I am told," he added of the broader ramifications for the artificial intelligence trade.
Burry, a vocal skeptic of the AI rally, has repeatedly bashed Nvidia since returning to social media late last year. In the past, he's raised alarm on the circular nature of Nvidia's deals and troubling technical signals flashing in Nvidia's stock. He's also placed bets against Nvidia and other stars in the AI trade, like Oracle and Nebius, which fall within his larger thesis that AI is a market bubble that's poised for a large correction.
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Key Terms Explained #
Artificial Intelligence The science of creating machines that can perform tasks requiring human-like intelligence — reasoning, learning, perception, language understanding, and decision-making.
GPU Graphics Processing Unit.
Inference Running a trained model to make predictions on new data.
NVIDIA The dominant provider of AI hardware.