Anthropic AI chips could be manufactured by Samsung under an early-stage deal being discussed between the artificial intelligence company and the South Korean technology giant, according to a report by The Information.
The talks are preliminary, and no finalized agreement has been reported. Still, the discussions highlight how fast-growing AI companies are looking for more control over the hardware that powers their models, even as they continue to rely on established cloud and chip partners.
Anthropic has told current partners that its data centers will continue using Amazon’s Trainium chips, Google’s tensor processing units and Nvidia’s graphics processing units for the foreseeable future, according to the report. At the same time, the company is exploring custom hardware to support its expanding computing needs.
Anthropic AI Chips Talks Put Samsung in Focus
Samsung is reportedly in early negotiations to manufacture Anthropic’s custom AI chips. The arrangement, if completed, would place Samsung in a more prominent position in the AI semiconductor supply chain.
For Anthropic, the move would reflect a broader shift among AI developers. As models become more expensive to train and operate, companies are trying to reduce dependence on off-the-shelf chips and cloud infrastructure. Custom silicon can help improve performance, manage costs and create hardware better suited to specific AI workloads.
However, the source information does not specify what type of chip Anthropic is developing, when production could begin or whether Samsung would be the sole manufacturing partner. It is also unclear how far the talks have advanced beyond the early negotiation stage.
Why AI Companies Want Custom Silicon
The reported discussions come as demand for semiconductors has surged across the technology industry. The rapid growth of AI has placed pressure on the chip supply chain, particularly for high-performance processors used in training and running large AI models.
That pressure has pushed companies to look beyond traditional suppliers. Taiwan Semiconductor Manufacturing Co. has long held a central role in advanced chip production, but the boom in AI demand has encouraged large technology companies to consider alternative manufacturing options.
Samsung and Intel, which had faced difficulties in their chip businesses before the recent AI surge, are now benefiting from renewed industry demand. The Information’s report places Samsung within that broader rebound, as more companies evaluate additional sources of advanced semiconductor manufacturing.
The shift does not mean established suppliers are being replaced. Instead, it suggests AI companies are trying to diversify supply, secure capacity and design chips that match their own infrastructure needs.
Existing Partners Remain Central to Anthropic
Anthropic is not walking away from its current chip and cloud partners, according to the report. The company has assured partners that its data centers will continue relying on Amazon’s Trainium chips, Google’s TPUs and Nvidia’s GPUs for the foreseeable future.
That point is important because Anthropic’s AI operations depend on large-scale computing resources. Nvidia GPUs remain widely used across the AI industry, while Amazon and Google provide specialized chips through their cloud infrastructure.
The potential Samsung arrangement would therefore appear to be an additional hardware strategy rather than an immediate replacement for existing systems. Anthropic may be seeking a longer-term path to support growth as demand for AI services expands.
Samsung Could Gain From AI Supply Chain Diversification
For Samsung, a manufacturing deal with Anthropic would strengthen its position in a market increasingly shaped by AI infrastructure spending.
The South Korean company is one of the world’s largest technology manufacturers, with major operations in semiconductors, memory, displays and consumer electronics. A custom AI chip deal would add another high-profile customer to its semiconductor ambitions, assuming negotiations result in an agreement.
The report also comes as Samsung is said to be in talks with Apple. Separately, Apple is again considering Intel as a chip supplier, according to the same source information. These developments suggest major technology buyers are reassessing supplier options as demand for advanced chips rises.
Samsung’s ability to win more advanced chip manufacturing business would depend on production capability, pricing, yields and customer confidence. None of those details were disclosed in the source report.
OpenAI Is Pursuing a Similar Path
Anthropic is not alone in exploring custom AI chips. OpenAI is also in talks with Broadcom for a similar effort, according to the report.
That parallel effort shows how leading AI companies are increasingly focused on hardware strategy. Software models may draw public attention, but the infrastructure behind them has become a major competitive issue.
Custom chips could help companies reduce bottlenecks, improve efficiency and manage the high costs of AI computing. They may also provide a strategic advantage if general-purpose AI chips remain expensive or supply-constrained.
Still, designing custom chips is complex and costly. AI companies must balance potential long-term benefits against manufacturing risks, development timelines and dependence on specialized semiconductor partners.
What the Report Signals for the AI Market
The reported Samsung-Anthropic talks point to a maturing AI industry in which computing infrastructure has become as important as model development. Companies building advanced AI systems need reliable access to chips, data centers and cloud capacity.
That demand has created new opportunities for semiconductor manufacturers. It has also increased pressure on AI companies to secure hardware road maps that can support future growth.
The immediate business impact remains uncertain because the negotiations are still at an early stage. No price, production timeline or technical specifications have been reported.
Even so, the direction is clear. AI developers are looking for more control over the chips that power their platforms, while manufacturers such as Samsung are trying to capture a larger share of the AI infrastructure buildout.
The next issue to watch is whether Anthropic and Samsung move from early talks to a formal manufacturing agreement, and whether Anthropic discloses more detail about the design, timing and role of its custom AI chips within its broader data center strategy.
Read Also: Kenya ISP Compensation Rules Force Outage Credits
