Anthropic Is Hiring an AI Chip Design Team
Anthropic moves toward silicon independence, signaling that top AI labs can no longer scale on shared infrastructure alone.
Anthropic moves toward silicon independence, signaling that top AI labs can no longer scale on shared infrastructure alone.
Anthropic's push to form a custom silicon team is less a hardware story than a capacity-ceiling story. Despite supply agreements spanning AWS, Google, Nvidia, and AMD, rising Claude demand is outpacing what third-party arrangements can deliver. With Samsung eyed as a fabrication partner, Anthropic joins OpenAI, Google DeepMind, and Meta in betting that model-hardware co-design is the only durable path to cost-efficient scale. **Watch:** Whether Samsung secures the manufacturing contract—a win that would reshape its AI foundry ambitions.
Watch: Samsung's bid for Anthropic's chip fabrication work; landing the contract would mark a major inflection in its AI foundry strategy.
In Brief Posted: 7:13 AM PDT · August 5, 2026 Image Credits:MirageC / Getty Images Anthropic is building a team to design its own custom chips for AI usage, Business Insider reports. The Claude maker said it is planning to co-design hardware and models to help its technology run faster and more efficiently. Last month, The Information reported that Anthropic was scouting Samsung as a potential partner for building such chips. Anthropic’s decision to design its own chips comes as demand for Claude rises while AI companies snatch up as many AI infrastructure deals as they can. For its part, Anthropic has inked deals with AWS, Google, Nvidia and AMD to access AI computing hardware. But to really scale to meet the level of demand, relying on others clearly isn’t enough. Anthropic isn’t the first AI company to decide to build its own chip. In June, OpenAI unveiled its Broadcom-built Jalapeño chip, which is designed specifically for inference workloads. Google DeepMind has long relied on Alphabet’s TPU chips to power its AI models, while Meta has been developing its own MTIA accelerators for AI workloads. The company is seeking engineers with experience in chip design for its “custom silicon team,” per a job listing. Anthropic did not immediately return a request for comment. Topics Subscribe for the industry’s biggest tech news Latest in AI
- 01Anthropic's push to form a custom silicon team is less a hardware story than a capacity-ceiling story.
- 02Despite supply agreements spanning AWS, Google, Nvidia, and AMD, rising Claude demand is outpacing what third-party arrangements can deliver.
- 03With Samsung eyed as a fabrication partner, Anthropic joins OpenAI, Google DeepMind, and Meta in betting that model-hardware co-design is the only durable path to cost-efficient scale.
- 04**Watch:** Whether Samsung secures the manufacturing contract—a win that would reshape its AI foundry ambitions.
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