Anthropic is in early talks with Samsung Electronics to manufacture a custom AI chip, according to reports from July 2, 2026. The company is considering Samsung’s 2-nanometer process and advanced packaging facilities to reduce its $1.25 billion monthly compute bill.

Anthropic hired Clive Chan last month, the engineer who led OpenAI’s custom chip program. The move signals serious intent to develop inference processors internally. No detailed design work has begun, and the company may abandon the effort if costs or timelines shift.
The Economics of AI Chips
Anthropic burns staggering compute resources training and running Claude. Each inference—a user asking the model a question—consumes electricity and silicon. With millions of concurrent users, the costs compound.
A custom chip tailored to Anthropic’s specific workloads could reduce per-inference costs by 20 to 40 percent. That’s not marginal. It’s the difference between profitable scaling and existential cash drain. At $1.25 billion monthly, even a 10% savings exceeds $150 million annually.
Samsung has the manufacturing expertise and available 2-nm capacity. The company also participated in Anthropic’s $65 billion May fundraising round, aligning incentives around long-term partnership.
Strategic Context and Competitors
OpenAI partnered with Broadcom to announce Jalapeño, its own custom inference processor, last week. Google already builds Tensor chips in-house. Meta manufactures custom silicon at scale. The trend is clear: frontier labs can’t afford to rely on Nvidia forever.
Nvidia currently holds roughly 74% of the AI accelerator market. Custom chips erode that dominance. Nvidia doesn’t lose the business—it faces margin compression as competitors move internal designs into production.
Anthropic’s Samsung deal, if finalized, proves that alternative foundries can execute advanced semiconductor manufacturing. It cracks open a duopoly (TSMC and Samsung) that historically served gaming, mobile, and consumer chips. Now they’re becoming AI infrastructure.
What Samsung Gains
Samsung’s foundry business trails TSMC in cutting-edge nodes. A contract to produce Anthropic’s chips gives Samsung a credential: proven experience manufacturing AI accelerators for a frontier lab.
That credential attracts other AI companies shopping for alternatives to TSMC. Samsung’s pitch becomes: “We built for Anthropic. We can build for you.” Volume follows reputation in semiconductors.
Early-stage talks mean significant risk of collapse. No design or manufacturing commitment exists yet.



