(Bloomberg) — Broadcom Inc. Chief Executive Officer Hock Tan said the company expects its AI chip sales to top $100 billion next year, marking major inroads into territory dominated by Nvidia Corp.
“We have line of sight” to reach this milestone in 2027, he said during a conference call with analysts. “We have also secured the supply chain required to achieve this.”
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The company projects that AI chip revenue will be $10.7 billion in the current quarter, so reaching an annual pace of $100 billion would be a major jump. Broadcom reported $20 billion in AI sales in 2025.
The shares gained about 4% in late trading on Tan’s remarks.
WATCH: “These are good numbers,” Gil Luria, head of technology research at D.A. Davidson, says about Broadcom’s first-quarter earnings and revenue guidance.Source: Bloomberg
The CEO has increasingly hitched Broadcom’s fortunes to AI. Though Nvidia remains the biggest maker of accelerators — the chips that help train and run artificial intelligence models — Broadcom has positioned itself as an alternative with its custom-made semiconductors. The company’s AI chip targets include both accelerators and networking semiconductors.
Broadcom also delivered a better-than-estimated quarterly outlook on Wednesday and announced a stock buyback plan worth as much as $10 billion.
Revenue will be about $22 billion in the fiscal second quarter, which ends May 3, the company said. Analysts had predicted $20.5 billion on average, though some projections topped $22 billion, according to data compiled by Bloomberg.
Broadcom’s Hock Tan expects AI to bolster sales growth.Source: Bloomberg
The company had faced skepticism about its AI prospects this year, with Broadcom shares falling 8.3% through the close.
Investors have grown more concerned about a bubble in artificial intelligence spending, and even a blockbuster earnings report from Nvidia last month led to a stock selloff. One key question is whether the current AI wave will extend beyond the next few years.
Broadcom had seen its valuation surge in recent years, helped by deals to make custom AI chips for companies like OpenAI and Anthropic PBC.
Its prospects have also benefited from increased interest in Google’s TPU, or tensor processing unit, a chip that Broadcom helps develop for the search giant. And Broadcom just shipped the first units of a new generation of processors that it said will be adopted by about a half-dozen more clients this year.
In the fiscal first quarter, which ended Feb. 1, sales rose to $19.3 billion. Profit was $2.05 a share, excluding some items. Analysts had projected revenue of $19.3 billion and earnings of $2.03 per share.
AI revenue more than doubled to $8.4 billion in the period, Broadcom said, a faster clip than it anticipated. The increase was “driven by robust demand for custom AI accelerators and AI networking,” Tan said in a statement.
Even if Broadcom hits its targets, Nvidia will still dwarf the company in AI revenue. Nvidia is expected to generate $333 billion in fiscal 2027 from AI data center customers.
Tan said on the conference call that he expects OpenAI to begin shipping its Broadcom chip in volume next year, reaching more than 1 gigawatt of computing capacity.
He also said that demand for Google’s TPU is strong and will accelerate further in 2027. Broadcom plans to ship chips to Anthropic, which is using Google’s TPUs, to enable 1 gigawatt of capacity this year and more than 3 gigawatts next year.
Tan also discussed progress with another chip customer, Meta Platforms Inc. He took issue with recent reports that Meta might be moving away from planned work with Broadcom on custom accelerators, saying the road map was “alive and well.” Products are shipping now and next-generation versions will “scale to multiple gigawatts in ’27 and beyond,” he said.
Separately, Meta touted its ambitions for the chips on Wednesday. Chief Financial Officer Susan Li said the company was aiming to develop chips that can train its AI models.
Beyond Broadcom’s custom AI chip work, the company continues to update its networking equipment to better link up the computing needed to run artificial intelligence models. Tan also has built a large software operation through acquisitions.
The new buyback plan, which follows $7.8 billion in stock repurchases during the first quarter, will run through the end of the year, the Palo Alto, California-based company said.
(Updates with more from conference call in 17th paragraph.)
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