OpenAI’s Samsung Pivot: The Reality of Manufacturing Diversification

Yahoo Finance ·

During a press briefing in Seoul on September 9, 2026, OpenAI Korea General Manager Harrison Kim highlighted deep collaboration with Samsung Electronics on next-generation silicon. This move marks a strategic shift beyond single-source reliance on TSMC for custom AI processors like the Jalapeno chip co-developed with Broadcom. Samsung offers a compelling value proposition through vertical integration, encompassing memory, foundry, and advanced packaging, backed by a $200 billion MOU signed in July 2026. However, a significant yield gap remains, with Samsung's 2nm process hovering between 50% and 60% compared to TSMC's steady 80%+ performance. With risk production targeted for the second half of 2026 at the Taylor, Texas facility, market observers are closely watching whether Samsung can overcome these manufacturing hurdles before compute demands outpace supply.

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OpenAI is diversifying its manufacturing by pursuing joint production and research for next-generation custom AI chips with Samsung Electronics. Based on a $200 billion MOU signed in July 2026, it aims to benefit from vertical integration encompassing memory and foundry. However, concerns remain regarding short-term cost increases and bottlenecks, as Samsung's 2nm process yield lingers at 50-60% compared to TSMC's yield of over 80%. Investors should carefully monitor the balance between the long-term stability of supply chain diversification and the speed of yield improvement.

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Structural changes are occurring across the foundry and semiconductor ecosystem as OpenAI moves away from a TSMC-centric supply chain to expand cooperation with Samsung Electronics. While Samsung's strengths in vertical integration, such as HBM and packaging, are advantageous for large-scale infrastructure construction, a yield gap of 20 to 30 percentage points acts as a factor that increases initial production costs and delays delivery.

In the bullish scenario, Samsung rapidly stabilizes its yields alongside the operation of the Taylor fab in the second half of 2026, resolving bottlenecks in OpenAI's large-scale AI chip supply and maximizing benefits. Conversely, in the bearish scenario, persistent low yields and production disruptions could increase OpenAI's cost burdens and emerge as a risk ahead of its IPO, requiring close monitoring of Samsung's future yield improvement indicators and 2nm process stabilization.

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