OpenAI says working with Samsung on next-generation chips, deepening cooperation

OpenAI is expanding cooperation with Samsung Electronics on next-generation AI-chip research and production, reinforcing Samsung's role in the AI semiconductor supply chain. OpenAI said ChatGPT Enterprise use among South Korean companies and institutions rose about 28-fold year over year through August, while South Korea had its largest base of paid ChatGPT subscribers outside the U.S. as of late 2025. The partnership supports rising demand for advanced memory and inference chips, following OpenAI's June unveiling of its Broadcom-designed Jalapeno inference chip and its Stargate memory-supply agreements with Samsung and SK Hynix.

Analysis

OpenAI’s expanding hardware ecosystem reinforces a multi-supplier AI stack rather than a winner-take-all GPU market. AVGO gains from ASIC design/IP and networking attach, while TSM captures foundry content; the less obvious bottleneck is HBM qualification and packaging capacity, where SK Hynix is better positioned than Samsung if its yield and customer-qualification lead persists. Samsung’s strategic value is therefore not assured to translate into near-term memory share gains without disclosed HBM volumes, pricing, or qualification status.

For AVGO, a large OpenAI program would support a higher-duration custom-silicon revenue stream, but it also increases customer-concentration and execution risk: custom inference chips typically have long design cycles, then lumpy wafer commitments. The immediate equity implication is likely limited absent confirmed production volumes; the 1-3 month catalyst is any disclosure on tape-out, HBM supplier selection, or networking orders. Over 6-18 months, successful inference ASIC deployment could pressure NVIDIA’s inference economics, but does not necessarily reduce aggregate AI infrastructure spend.

GOOG is the relative strategic loser only at the margin. Enterprise model adoption broadens the competitive set for Gemini and can raise customer acquisition costs, yet Google retains distribution through Workspace, Cloud and its owned inference infrastructure. The contrarian view is that expanded enterprise usage may be more bullish for cloud and memory demand than for OpenAI-linked public equities: enterprise deployments often begin as seat licenses and do not produce dedicated compute orders until workloads become mission-critical.

The key falsifiers are evidence that OpenAI shifts materially to third-party cloud/GPU capacity rather than owned ASIC infrastructure, HBM pricing softening despite reported AI demand, or TSMC advanced-packaging expansion removing the supply constraint faster than demand grows. Treat company statements on partnership scope and user adoption as directional until capex commitments, supplier revenue contribution, or production timelines are independently disclosed.

Key Decisions for Investors

• Maintain or initiate a 6-12 month long AVGO / short GOOG pair, sized modestly: AVGO has more direct custom-silicon and interconnect operating leverage, while GOOG faces incremental enterprise-AI competition. Target 10-15% relative upside; exit if AVGO discloses delayed ASIC ramps or Google Cloud materially accelerates AI-driven backlog/guidance.
• Prefer long SK Hynix (000660 KS; use the appropriate local listing rather than assuming SKHY liquidity) over Samsung Electronics for 6-18 months, conditional on continued HBM qualification leadership and stable HBM pricing. Do not initiate solely on partnership rhetoric; confirm quarterly HBM bit-growth, margins, and customer mix first.
• Add TSM on weakness rather than chase near-term headlines; its upside depends on incremental advanced-node wafer starts and CoWoS/advanced-packaging utilization, not merely chip-design announcements. Reassess if management signals packaging lead times normalizing or meaningful customer schedule slippage.
• Set alerts for disclosed OpenAI wafer commitments, HBM supplier awards, and AVGO backlog commentary. A confirmed production ramp would justify increasing AVGO exposure; absence of these disclosures through the next two reporting cycles argues that the market should treat the partnership as strategic optionality rather than forecastable revenue.