Monday, March 23

Alphabet’s AI Chips Are a Potential $900 Billion ‘Secret Sauce’


Alphabet Inc. investors are growing increasingly confident that the company’s semiconductors could represent a significant driver of future revenue for Google’s parent.

The success of Alphabet’s tensor processing unit, or TPU, chips is a primary reason for the stock’s 30% fourth-quarter rally, putting it among the best performers in the S&P 500 Index. The TPUs were always seen as a major strength internally, accelerating growth for the company’s cloud-computing business. But there’s rising optimism that Alphabet could start selling the chips to third parties, creating a new revenue stream in a business that could ultimately be worth almost a trillion dollars.

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Shares were down 1% on Thursday.

“If companies want to diversify away from Nvidia, TPUs are a good way to do it, and that means there’s a lot of reason to be optimistic,” said Gil Luria, head of technology research at DA Davidson. “The chip business could ultimately be worth more than Google Cloud. But even if it never sells a chip externally, the better chip means a better, more efficient cloud.”

Should Alphabet get serious about selling its TPUs, Luria estimates they could capture 20% of the artificial intelligence market over a few years, which would make it a roughly $900 billion business.

Alphabet did not return requests for a comment. A Nvidia spokesperson pointed to a recent comment by CEO Jensen Huang about the company’s competitive advantage: “As a company, you’re competing against teams. And there just aren’t that many teams in the world who are extraordinary at building these incredibly complicated things.”

In late October, Alphabet announced that it will supply tens of billions of dollars of chips to Anthropic PBC, which sent the stock on two-day rally of more than 6%. Then a month later, the Information reported that Meta Platforms Inc. is in talks to spend billions for access to TPUs, sparking another leap.

TPUs are application-specific integrated circuit, or ASIC, chips. By definition, they’re custom designed for a particular use, in this case to accelerate machine learning workloads. That makes them less flexible than the semiconductors made by Nvidia Corp., but it also makes them cheaper, which is a real benefit at a time when investors are questioning AI-related spending.

“Nvidia chips are much more costly and hard to get, but if you can use an ASIC chip, Alphabet is right there, and it leads that market by far,” said Mark Iong, equity portfolio manager at Homestead Advisers. “It won’t control the entire market, but this is part of the secret sauce for the stock.”



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