Anthropic is in early discussions with Samsung Electronics to manufacture a custom artificial intelligence chip, according to reports from The Information cited by TechCrunch and Korean media. The talks mark a potential first step by the Claude developer toward building its own silicon stack as compute demand becomes a defining cost and capacity constraint in the AI industry. The discussions remain preliminary, with no finalized chip design, target workload, performance profile, or manufacturing commitment. Anthropic told TechCrunch that a diversified hardware stack including chips from Google, Amazon, and Nvidia will remain central to its compute strategy, while declining further comment on any potential Samsung deal. The move reflects a broader industry trend as leading AI model companies expand beyond software into deeper infrastructure planning to control compute costs and availability.
Anthropic Considers Custom Chip Development to Address Compute Costs
Reuters reported in April that Anthropic was considering designing its own AI chips, though the initiative was at an early stage with no finalized design or dedicated chip team. In April, Broadcom announced a long-term agreement with Google to develop future generations of custom AI chips through 2031, while also providing Anthropic access to roughly 3.5 gigawatts of AI computing capacity using Google's AI processors beginning in 2027.
Anthropic said at the time that Claude demand had accelerated sharply, with run-rate revenue surpassing $30 billion in 2026 from about $9 billion at the end of 2025. Training and serving frontier models require large clusters of GPUs, custom accelerators, high-bandwidth memory, networking equipment, and long-term power commitments. For Anthropic, which competes directly with OpenAI, Google DeepMind, and Meta, control over compute costs and availability is increasingly strategic.
A proprietary chip could eventually help Anthropic optimize inference costs, reduce dependence on scarce Nvidia GPUs, and tailor hardware to Claude-specific workloads. Custom silicon is expensive, technically risky, and slow to commercialize. Google's TPUs took years to mature, and OpenAI, Meta, and Amazon have all faced the challenge of matching Nvidia's software ecosystem, developer support, and rapid product cadence.
Samsung Pursues Advanced Foundry Contracts to Close Gap with TSMC
For Samsung, an Anthropic mandate would be strategically important as the South Korean group tries to close the gap with Taiwan Semiconductor Manufacturing Co., which dominates advanced-node foundry production and has captured the bulk of high-end AI accelerator demand. Counterpoint Research estimated that TSMC held 73% of the pure-play foundry market in the first quarter of 2026.
Samsung's potential appeal lies in its advanced 2-nanometer process, its memory leadership, and its push to offer more integrated AI chip manufacturing services. Reuters reported in June that Google was also in talks with Samsung to manufacture part of a next-generation AI processor, using Samsung's 2nm technology for a component linked to memory connectivity. Samsung previously secured a $16.5 billion Tesla AI chip supply deal in 2025, a contract expected to support its delayed Taylor, Texas fab and strengthen its loss-making foundry business.
The talks show that hyperscalers and model developers are increasingly treating custom silicon as a strategic hedge against GPU shortages, margin pressure, and geopolitical concentration in semiconductor supply chains.
FAQ
What is Anthropic discussing with Samsung Electronics?
Anthropic is in early discussions with Samsung Electronics to manufacture a custom artificial intelligence chip, according to reports from The Information cited by TechCrunch and Korean media. The talks remain preliminary with no finalized chip design, target workload, or manufacturing commitment.
Why is Anthropic considering custom AI chip development?
Compute demand has become a defining cost and capacity constraint in the AI industry. Anthropic's run-rate revenue surpassed $30 billion in 2026 from about $9 billion at the end of 2025, and training and serving frontier models require large clusters of GPUs, custom accelerators, and long-term power commitments. A proprietary chip could help Anthropic optimize inference costs and reduce dependence on scarce Nvidia GPUs.
What is Samsung's position in the AI chip foundry market?
Counterpoint Research estimated that Taiwan Semiconductor Manufacturing Co. held 73% of the pure-play foundry market in the first quarter of 2026, while Samsung has been trying to close this competitive gap. Samsung secured a $16.5 billion Tesla AI chip supply deal in 2025 and Reuters reported in June that Google was in talks with Samsung to manufacture part of a next-generation AI processor using Samsung's 2nm technology.
