Anthropic wants its own chip. That's your risk now.
Anthropic is in early talks with Samsung to build a custom AI chip on a 2nm process. Here's what frontier labs going vertical means for your AI bill.
The company that makes the model you might be building on wants to make the silicon underneath it too. On July 2, The Information reported that Anthropic is in early talks with Samsung to manufacture a custom AI chip. It's nascent — but the direction is the story, and it flows downhill to your invoice.
What actually happened
Per The Information's reporting (picked up by TechCrunch and Bloomberg), the talks are exploratory — Anthropic hasn't settled on what the chip would do, how it slots into a server, or how powerful it needs to be. Multiple outlets peg the target at Samsung's 2nm (SF2) process. Reuters reported back in April that Anthropic was already toying with building its own chips to dodge shortages.
Anthropic was careful to say a "diversified hardware stack that includes chips from Google, Amazon, and Nvidia will continue to be pivotal." Translation: this is about not being hostage to any single supplier — including Nvidia. Every frontier lab is running the same play. OpenAI, Google, Amazon, and Meta all design or commission their own accelerators. Anthropic joining means owning silicon is now table stakes for staying in the model business.
Why it matters for your business
You are not buying chips. But you are buying the thing built on top of them, and your vendor's supply-chain strategy is now a variable in your cost structure. When a lab controls its own silicon, it controls its own margins — which means it controls how far your per-token price can fall, or how fast it can rise. Vertical integration cuts both ways: cheaper inference if they pass savings on, or a tighter grip if they don't.
The operator move isn't to predict which chip wins. It's to make sure you don't care. If the app you run can swap Claude for a GPT, a Gemini, or an open-weight model behind one config change, then a lab's chip drama is their problem, not yours. If it can't, you've quietly handed a supplier a lever on your business you'll only feel when they pull it.
Key takeaways
- The Information reported July 2 that Anthropic is in early talks with Samsung to build a custom AI chip, reportedly on a 2nm process
- Anthropic framed it as diversification — a hardware stack spanning Google, Amazon, and Nvidia — not a break from any one vendor
- Every frontier lab now designs or commissions its own accelerators; owning silicon is table stakes for staying in the model business
- Your vendor's supply chain is now a variable in your cost structure — the defense is a stack that can swap models with one config change
Locked into one AI vendor's roadmap? We build model-agnostic systems where swapping the underlying LLM is a config change, not a rebuild — so a lab's chip strategy stays their problem. See how we do it or tell us what you've built on.
Sources: TechCrunch, Bloomberg.
- #anthropic
- #ai-chips
- #vendor-risk
- #infrastructure
- #portability
Tommy Rush — Founder, Rush Commerce
Operator turned builder. 15+ years running operations — now shipping the systems businesses run on. More
Get The Rush Report weekly — one email, zero fluff.
Keep reading
Etched raises $700M at $21B after shipping its first rack
Etched doubled its valuation to $21B in under a month, led by Jane Street, after delivering its first inference cluster. What changed: a customer, not a rumor.
Read itNvidia cuts OpenAI's Ohio backstop to under $120B
Nvidia's reported guarantee on OpenAI's Ohio campus fell from $250B to under $120B in under three weeks. What a shrinking backstop means for your token pricing.
Read it