Anthropic confirmed on Tuesday that it has begun assembling a dedicated team to design custom chips for its AI assistant, Claude.

The company has relied on chips made by other technology firms until now, but rapidly rising demand has pushed it to pursue its own hardware in order to keep systems running quickly and reliably. The decision places Anthropic among a growing set of AI and cloud computing companies seeking greater control over their silicon supply as AI workloads scale beyond what existing chip markets can comfortably serve.

A job listing turns months of rumors into a staffed program

The news came through an official statement to Business Insider, which also reported a new opening for a lead silicon engineer. According to Business Insider, an Anthropic spokesperson said the company plans to co-design its hardware and its models so that Claude runs “faster and more efficiently,” in the spokesperson’s words, “at the scale our customers need.”

The job description is unusually specific. Anthropic is seeking engineers with experience in front-end design, pre-silicon verification, physical design, analog and mixed-signal work, and packaging. The salary range listed is $320,000 to $485,000.

Candidates must demonstrate “direct personal contribution” to finished, shipped semiconductor designs and be prepared to make “consequential calls without a large organization behind them,” according to the listing.

The posting also says the new hire will “support first-silicon bring-up and debug” once a part arrives, language that suggests the company is preparing to tape out a chip rather than simply evaluate third-party hardware. The reference to first-silicon bring-up is notable because custom chip development typically spans multiple years from initial architecture through fabrication, testing, and volume deployment.

Outlets including Reuters and The Information previously reported that Anthropic had discussed manufacturing partnerships with companies such as Samsung, but the company has not named a factory or provided a release date.

Owning the layer it currently rents

Anthropic also said it is not abandoning its current suppliers. The spokesperson emphasized that the company plans to continue using chips from AWS, Google, Nvidia, and AMD alongside its own hardware in order to keep its supply chain flexible.

The business case is tied to Anthropic’s own growth. According to reports, the company said in April that its run-rate revenue had exceeded $30 billion, up from about $9 billion at the end of 2025, and that the number of customers spending more than $1 million annually had doubled to more than 1,000.

Its computing needs currently depend on other companies’ silicon, including AWS Trainium, Google TPUs, and Nvidia GPUs, with multiple gigawatts of next-generation Google TPU capacity committed from 2027. Designing its own chip would give Anthropic ownership over one layer of that stack rather than continuing to rent it. Google followed a similar path roughly a decade ago when it began developing its Tensor Processing Units, establishing a template that hyperscalers and AI labs have increasingly adopted as model training and inference costs climb.

OpenAI and Meta moved first

Anthropic is not the first frontier AI lab to pursue in-house silicon. OpenAI unveiled a purpose-built inference chip called Jalapeño, developed with Broadcom, in June. OpenAI said the chip can reduce costs by as much as 50%. Broadcom has also served as a design and packaging partner on Google’s TPU program, giving the chipmaker extensive experience with the kind of custom AI silicon that OpenAI, and now potentially Anthropic, are pursuing.

Other major players are moving in the same direction. Meta is preparing to begin producing its own chips soon, and smaller startups are also exploring similar plans. The goal is to reduce dependence on Nvidia, whose chips still dominate the market, and build hardware better suited to each company’s own AI systems.

The move may also help Anthropic recruit engineers. With the opportunity to help build new hardware from the ground up, the company can offer technical talent a fresh reason to join as competition for semiconductor and AI infrastructure expertise intensifies.