Samsung Raises Advanced Foundry Prices on AI Demand
Samsung Electronics raised prices for new orders of some advanced foundry services on August 19, with increases of up to 15% as AI-chip demand tightened capacity. Reuters said the reported increases covered Samsung's 4-nm SF4, 5-nm SF5, and 8-nm processes, while the SF4 line at Pyeongtaek had operated at full capacity since late 2025, citing people familiar with the matter.
Samsung Electronics raised prices for new orders of some advanced contract chipmaking services by up to 15%, Reuters reported on August 19, citing two people familiar with the matter. The reported increases follow a capacity squeeze driven by demand for AI chips in a foundry market led by Taiwan Semiconductor Manufacturing Co. (TSMC).
Reuters reported that Samsung increased July prices for chips made on its 4-nm SF4 process. Customers in China and the United States reportedly faced increases of 10% to 15% from the previous month, while customers in Taiwan faced increases of 5% to 10%.
The price changes also reportedly covered Samsung's 5-nm SF5 process, where wafer prices increased 10% to 15%, and its older 8-nm technology, where prices rose by nearly 10%. Samsung declined to comment to Reuters.
Capacity pressure at Pyeongtaek
According to Reuters' sources, Samsung's SF4 production line at its Pyeongtaek plant in South Korea has operated at full capacity since late 2025. The line supplies logic chips to Qualcomm and base dies for Samsung's own high-bandwidth memory products, Automotive World reported, citing Reuters.
Reuters reported that Chinese demand has been particularly strong, but that Samsung has been unable to accept all orders because it also serves US customers and reserves capacity for internal chip production. One Reuters source said Chinese customers were among those accepting the steepest price rises.
Tom's Hardware, also reporting the Reuters account, noted that the higher prices arrive after a period in which Samsung had reportedly priced foundry capacity below TSMC. The reported change underscores how quickly available wafer supply can become commercially constrained when AI-related demand expands.
Foundry competition and export controls
Samsung's foundry division has been loss-making since 2022, according to industry estimates cited by Reuters. Counterpoint Research data cited by Reuters put Samsung at 7% of global foundry revenue in the first quarter of 2026, well behind TSMC.
Reuters linked especially strong Chinese demand to US restrictions on exports of advanced chipmaking equipment to China. Those controls have increased Chinese chip designers' reliance on overseas foundries, Reuters reported. That dynamic affects not only access to fabrication capacity but also the regional pricing of mature and advanced process nodes.
For ML infrastructure teams and silicon designers, foundry pricing matters beyond the immediate cost of an accelerator or custom ASIC. Comparable periods of constrained wafer capacity have typically increased the value of early capacity reservations, multi-source manufacturing qualification, and realistic total-cost estimates for bespoke inference hardware. The reported increases also involve process nodes used for supporting logic and base dies, not only the most advanced processes.
The reported price rises do not establish how long Samsung's capacity constraints or revised prices will persist. They do, however, add a new data point to the broader supply-chain pressure around AI compute, high-bandwidth memory, and the logic components required to package and deploy them.
Key Points
- 1Reuters reports Samsung raised new-order foundry prices by up to 15%, reflecting tighter capacity for AI-related chip demand.
- 2The reported increases span 4-nm, 5-nm, and 8-nm nodes, extending supply pressure beyond the most advanced logic processes.
- 3Comparable capacity constraints often elevate the importance of wafer reservations, qualified second sources, and hardware cost modeling for AI infrastructure teams.
Scoring Rationale
The reported price increases affect advanced foundry capacity relevant to AI chips and supporting logic. They are a notable indicator of AI supply-chain pressure, although the story is a commercial pricing development rather than a new compute platform or model release.
Sources
Public references used for this report.
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