Anthropic is in early-stage talks with Samsung Electronics to develop a custom AI processor, signaling a move toward in-house hardware tailored for Claude and other AI workloads.

The plan would add to, not replace, Anthropic’s existing compute stack, which already relies on Nvidia GPUs, Google TPUs, and Amazon Trainium.

The industry-wide push toward proprietary chips reflects a broader trend to reduce reliance on third-party suppliers, with Nvidia currently dominating the market around 74% of AI chip sales.

The disclosed information does not specify timelines, financial terms, or exact product specifications for the potential chip.

Markets reacted with concern as semiconductors led declines mid-session, with the Philadelphia Semiconductor Index down about 4.3% and the Nasdaq 100 down roughly 1.3% amid supply-chain and cost worries.

Samsung shares rose about 8.4% in Seoul on signs of a positive short- to mid-term market trajectory for the company amid the talks.

Caution from CNBC’s Jim Cramer that the information is unconfirmed and based on unnamed sources, urging investors to await official confirmation.

The strategic value of a likely chip lies more in inference optimization—reducing latency and per-query cost for Claude—than in training performance.

For broader context, outlets Gizmochina and TechCrunch are noted as additional resources on the potential deal.

Samsung’s 2nm SF2 process promises performance gains or power savings; however, initial yields have been variable, with SF2P improving toward 70% by early 2026 but not yet at high-volume levels.

Analysts expect Samsung’s non-memory operations may still be red in Q2, though demand for HBM4 and advanced nodes could bolster profitability later in the year.

The news helped reverse an earlier market rally driven by weak payroll data, underscoring how AI demand and chip constraints can drive volatility.