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Samsung and SK Hynix Surge After OpenAI Chip Partnership Boosts AI Optimism

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Shares of Samsung Electronics and SK Hynix soared on Thursday after OpenAI announced a major partnership with the two South Korean chipmakers to support its massive Stargate artificial intelligence data centre project in the United States.

Samsung Electronics jumped 4.7%, reaching its highest level in more than four years, while SK Hynix surged 12% to an all-time high, adding a combined $37 billion in market capitalization.
The rally also lifted South Korea’s benchmark KOSPI index by more than 3%, marking a new record.

MARKET REACTION AND ANALYST INSIGHT

Analysts said the partnership could dispel earlier market fears about potential declines in high-bandwidth memory (HBM) chip prices amid rising competition.

“Such worries will be easily resolved by this strategic partnership,” wrote Jeff Kim, analyst at KB Securities, predicting a sharp rise in chip demand driven by the Stargate project.
Kim added that, since Stargate is a key U.S. government-backed initiative led by President Donald Trump, the collaboration could also positively influence trade negotiations between Washington and Seoul.

DETAILS OF THE PARTNERSHIP

The deal — part of the $500 billion Stargate project aimed at building next-generation AI infrastructure — will see OpenAI, Samsung, and SK Hynix jointly work on semiconductor procurement and the construction of two data centres in South Korea, referred to as a “Korean-style Stargate.”
Each data centre will start with a 20-megawatt capacity, and Seoul hopes the project will help position South Korea as an Asian AI hub, given that the country already ranks second globally in the number of paying ChatGPT subscribers after the United States.

WIDER IMPACT ON SAMSUNG AFFILIATES

Other Samsung affiliates also gained sharply on the news:

  • Samsung SDI rose on expectations of increased demand for advanced power systems.

  • Samsung C&T and Samsung SDS advanced after confirming new roles in AI data centre construction and infrastructure partnerships with OpenAI.

STRONGER EXPORT OUTLOOK

The AI-driven semiconductor boom has been a key factor in South Korea’s economic rebound, with exports rising in September at their fastest pace in 14 months, defying concerns about the impact of U.S. tariffs.
Seoul hopes to finalize a trade agreement with the United States by late October, following a preliminary deal reached in July that would lower tariffs on South Korean imports in exchange for a $350 billion U.S. investment package.

However, officials have said talks have stalled over concerns about foreign exchange risks and the structure of the investment commitments.

DeepSeek claims AI model trained for just $294,000, challenging U.S. rivals

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Chinese AI developer DeepSeek has disclosed that its reasoning-focused R1 model cost just $294,000 to train—dramatically below the hundreds of millions reportedly spent by U.S. leaders such as OpenAI. The figure, revealed in a Nature article co-authored by founder Liang Wenfeng, is the company’s first public estimate of training costs and is likely to reignite debate over China’s position in the global AI race.

According to the paper, R1 was trained on a cluster of 512 Nvidia H800 chips over 80 hours. DeepSeek acknowledged for the first time that it also owns Nvidia A100 GPUs, which were used in preparatory phases before training shifted to the China-specific H800s. The H800 was designed to comply with U.S. export restrictions that bar Nvidia from selling its more powerful H100 and A100 chips to China.

The cost revelation is striking: OpenAI CEO Sam Altman has said foundational models cost “much more” than $100 million to train, though OpenAI has never published detailed figures. DeepSeek’s claim of drastically lower costs fueled January’s investor selloff in global tech stocks, amid fears it could disrupt the market dominance of Nvidia and other AI giants.

Skepticism remains. U.S. officials have suggested DeepSeek may have obtained H100 chips despite restrictions, while U.S. companies have questioned whether its development relied on model distillation—a technique where one AI model learns from another. DeepSeek has admitted using Meta’s open-source Llama models and said its training data may have included content generated by OpenAI systems, though it insists this was incidental.

DeepSeek defends distillation as an efficient way to cut costs and expand access to AI by reducing the enormous energy and resource demands of large-scale training. Analysts note this could accelerate the spread of competitive AI models outside the U.S., though questions about intellectual property and national security will remain central to the debate.

Nvidia takes $5B stake in Intel, forging alliance on future AI chips

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Nvidia announced a $5 billion investment in Intel, acquiring roughly 4% of the struggling chipmaker and pledging to jointly develop new chips for PCs and data centers. The deal comes just weeks after the U.S. government took an extraordinary 10% stake in Intel to shore up the company amid mounting concerns about its competitiveness.

Intel shares surged 23% on the news, while Nvidia’s stock rose nearly 4%. Nvidia will pay $23.28 per share, slightly below Intel’s prior closing price but above what Washington paid earlier this month. The investment makes Nvidia one of Intel’s largest shareholders and marks a pivotal moment in the U.S. effort to counterbalance Asia’s dominance in chip production.

Under the pact, Intel will supply central processors and advanced packaging for joint products that combine Intel CPUs with Nvidia GPUs, linked by Nvidia’s high-speed proprietary technology. The companies pledged to build “multiple generations” of such products, though Nvidia stopped short of committing to use Intel’s foundries for its own chips—a key issue for Intel’s turnaround.

The partnership could reshape the competitive landscape. Analysts say it poses the most immediate risk to AMD, which competes with Intel in supplying data center CPUs, and a longer-term threat to TSMC, which currently manufactures Nvidia’s flagship processors. Broadcom, whose chip-to-chip interconnect technology underpins many AI systems, may also feel pressure.

“This is a massive game-changer for Intel and effectively resets its position of AI-laggard into a cog in future AI infrastructure,” said Gadjo Sevilla, senior analyst at eMarketer. Some analysts even speculate the deal could be the first step toward an eventual breakup or acquisition of Intel by U.S. chipmakers.

Intel’s new CEO, Lip-Bu Tan, has vowed to streamline operations and build capacity more cautiously, only when demand is clear. Nvidia CEO Jensen Huang emphasized the administration was not directly involved in the partnership but noted Washington would welcome the collaboration.

For Intel, the deal adds to a growing cash reserve after a $2 billion investment from SoftBank and $5.7 billion from the U.S. government. For Nvidia, the alliance gives it a foothold in Intel’s deep enterprise and government networks, while cementing its dominance in AI infrastructure.