Anthropic in talks with Samsung to develop its own AI chip

Anthropic is in negotiations with Samsung Electronics about possible production of a custom AI chip — The Information reported this on July 3, 2026. The project is at an early stage: the company has not yet decided what exactly the chip will do, how powerful it will be, and how it will fit into server infrastructure.

What Stage Are the Negotiations At?

The parties are only exploring the possibility of cooperation — there are no contracts, and the parameters of the future chip have not been fixed. Anthropic has not disclosed either the timeline or the budget for the project.

• Manufacturing partner — Samsung Electronics
• Status — early stage negotiations, July 3, 2026
• Chip purpose — not defined
• Target performance — not defined
• Role in server architecture — not worked out

Notably, Anthropic did not deny the information — in the tech industry, silence in response to such publications is conventionally considered indirect confirmation.

Why Does Anthropic Need Its Own Chip?

Major AI companies are consistently reducing their dependence on NVIDIA. Google released TPU processors back in 2016, Amazon created Trainium specifically for model training, Meta is developing its own MTIA, and Microsoft invested in Maia chips.

Custom silicon provides three key advantages: control over computation costs, the ability to optimize architecture for specific tasks, and independence from the scarce high-performance GPU market.

Anthropic is one of the few major AI players that has not yet announced its own semiconductors. The company spends billions of dollars annually on computation: Claude family models require large-scale clusters for both training and inference — processing millions of user requests in real time.

A custom chip could significantly reduce operating costs and strengthen its position in price competition with OpenAI and Google.

Why Samsung Specifically?

Samsung Electronics is the second largest chip manufacturer in the world by revenue and one of the few that owns the full cycle: from design to foundry. The company already manufactures processors for Google and actively competes with TSMC for major customers in the AI accelerator segment.

Samsung's factory in Taylor, Texas makes the partnership attractive from the perspective of the US CHIPS Act — a law that subsidizes domestic semiconductor production.

For Samsung, a contract with Anthropic is an opportunity to strengthen its position in the high-margin AI chip segment and reduce dependence on a limited number of major customers. For the AI industry as a whole, it's a signal that competition between foundries for next-generation accelerator production is intensifying.

What Does This Mean

If negotiations conclude with a contract, Anthropic will join the club of AI companies with proprietary hardware and will be able to compete not only on model quality but also on infrastructure economics. For now, this is just an exploration of possibilities without fixed parameters, but the very fact of negotiations signals: the company is preparing for the next level of scale and does not intend to remain indefinitely dependent on others' chips.

Frequently Asked Questions

When Could Anthropic's Custom Chip Appear?

No concrete timeline exists — the project is at an early stage without key decisions made. Based on the experience of Google, AWS, and Meta, it typically takes three to five years from the start of negotiations with a manufacturer to the first working chips.

How Are Custom AI Chips More Profitable Than NVIDIA GPUs?

Custom accelerators are optimized for specific types of operations — model training or inference — which reduces the cost per computation operation. Additionally, they reduce dependence on supplies of expensive NVIDIA H100 and H200 chips, whose shortage during 2023–2025 seriously limited the growth of AI companies.

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