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Broadcom CEO addresses Anthropic's slowdown push, says AI revenue targets haven't changed
* Broadcom CEO Hock Tan said demand for AI infrastructure remains strong despite growing concerns about increasingly powerful models. * Tan agreed that AI needs safeguards but said the technology will "create huge value," comparing its potential impact to the Industrial Revolution. In this
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Broadcom CEO Hock Tan defends $230B AI chip revenue target
"We see the demand for compute infrastructure, for AI development or AI frontier models, and inference for the products that they feed to the world, as continuing to be very strong and, I believe, very durable," Tan told CNBC's "Mad Money." Tan's remarks came after Anthropic CEO Dario Amodei
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Broadcom CEO Hock Tan reaffirmed the chipmaker's ambitious AI semiconductor revenue projections of $230 billion by fiscal 2028, despite growing industry calls to moderate AI development. His comments came as semiconductor stocks tumbled following Anthropic CEO Dario Amodei's weekend essay advocating for slower frontier model development, which drew support from Sam Altman and Elon Musk.
Broadcom CEO Hock Tan firmly defended the company's ambitious AI revenue targets on Monday, dismissing investor concerns triggered by a weekend call from Anthropic CEO Dario Amodei to slow the pace of AI model development
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. When asked whether the AI slowdown debate had prompted any reconsideration of Broadcom's fiscal 2027 and 2028 AI semiconductor forecasts, Tan responded unequivocally: "No, not in the least"1
. The chipmaker stands by its projection of $115 billion in AI semiconductor revenue for fiscal 2027, with plans to double that figure to $230 billion by fiscal 20281
.The comments from Broadcom CEO Hock Tan came amid significant market reactions following Amodei's essay, which received public backing from OpenAI CEO Sam Altman and Elon Musk
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. Semiconductor stocks took a substantial hit during Monday's trading session, with Broadcom shares falling 4.8% while the iShares Semiconductor ETF declined 5.6%1
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. Companies selling other data-center components also experienced significant losses as investor concerns about compute demand intensified1
. The sell-off reflected growing uncertainty about whether AI infrastructure providers could sustain their growth trajectories if frontier model development slows.Tan emphasized that demand for AI infrastructure continues to show remarkable strength despite the slowdown debate. "We see the demand for compute infrastructure, for AI development or AI frontier models, and inference for the products that they feed to the world, as continuing to be very strong and, I believe, very durable," Tan told CNBC's "Mad Money"
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. The CEO was particularly bullish on inference capabilities, stating: "I don't know about training, but when you want to productize inference, I see it continuing to be very, very strong"1
. Broadcom's AI chips business encompasses both custom AI accelerators and networking chips used in AI systems1
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The sensitivity of Broadcom investors to Amodei's commentary stems from Anthropic's growing importance as a custom chip customer. Tan revealed that Anthropic is on track to become Broadcom's largest custom chip customer in 2027 and maintain that position in 2028
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. This represents a significant shift, as Google has historically been considered Broadcom's biggest custom chip customer through their collaboration on tensor processing units1
. The projection underscores why any signals from Anthropic CEO Dario Amodei about moderating development pace carry substantial weight for Broadcom's business outlook.While acknowledging the need for AI safeguards, Tan presented a more optimistic vision than the cautionary tone in Amodei's essay. "Like any tool, it's important to put governances, safeguards on how we use the tool," Tan said, but added that AI "is not a live animal that will run wild by itself"
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. The CEO compared AI's transformative potential to the Industrial Revolution that began in England in the 18th century, arguing that "AI, generative AI, the creation of those frontier models will create huge value"1
. Tan framed the technology as "a tool that will make our society, humanity, reach a better level of living," emphasizing productivity gains over existential risks1
. This perspective suggests Broadcom sees sustained commercial opportunity regardless of whether the industry adopts more measured approaches to AI model development.Summarized by
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