SK Hynix Overtakes Samsung to Become South Korea’s Most Valuable Company

The SK Hynix logo and a computer motherboard appear in this illustration taken August 25, 2025. (Reuters)
The SK Hynix logo and a computer motherboard appear in this illustration taken August 25, 2025. (Reuters)
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SK Hynix Overtakes Samsung to Become South Korea’s Most Valuable Company

The SK Hynix logo and a computer motherboard appear in this illustration taken August 25, 2025. (Reuters)
The SK Hynix logo and a computer motherboard appear in this illustration taken August 25, 2025. (Reuters)

SK Hynix on Monday overtook Samsung Electronics to become South Korea's most valuable listed company, marking a dramatic reversal of fortunes for a chipmaker that two decades ago nearly collapsed under debt.

The company, now the dominant supplier of high-bandwidth memory (HBM) chips used in AI systems for customers such as Nvidia and Alphabet's Google, has emerged as one of the biggest beneficiaries of the global AI boom, propelling a more than 340% rally in its shares this year and lifting its market value above both Samsung Electronics and Micron.

Shares of SK Hynix, now the world's most valuable memory chipmaker, traded up 5.7% to bring the company's market capitalization to 2,082.5 trillion won ($1.35 trillion) as of 0347 GMT, compared with gains of 0.4% in Samsung Electronics to 2,081.3 trillion won, excluding preferred shares.

The stock hit the milestone as AI reshapes the global semiconductor industry, elevating specialized memory chips from commonly traded commodities into critical components of the infrastructure powering applications such as ChatGPT and advanced AI models.

SK Hynix focuses primarily on memory chips, whereas Samsung Electronics also manufactures logic chips and ‌consumer electronics such as smartphones ‌and TVs. Samsung Electronics had held the top spot since 2000.

"The emergence of customized AI memory ‌fundamentally ⁠changed the industry's economics ⁠and allowed SK Hynix to establish itself as the market leader," said Kim Sunwoo, a senior analyst at Meritz Securities.

Samsung said in a statement that any calculation of its market capitalization should include preferred shares, which would bring the value to around 2,252 trillion won.

SK Hynix's soaring share price marks the culmination of one of the biggest turnarounds in South Korea's corporate history.

In 2002, then-Hynix Semiconductor was on the verge of being sold to Micron, having been crippled by debt accumulated during an aggressive expansion drive.

The deal eventually fell through, leaving the company under creditor control for nearly a decade. Its shares plunged as low as 135 won in 2003, leaving it viewed as a penny stock, or "Dongjeon-ju" in Korean.

Its fortunes in the ⁠years since tracked the global memory industry's traditional boom-and-bust cycle.

In 2023, a severe downturn battered memory ‌prices, pushing SK Hynix to report an annual operating loss of 7.73 trillion won.

It ‌started recovering a year later as the AI boom gained momentum and the likes of Microsoft, Google and Meta invested heavily, pushing it to report an ‌annual operating profit of 23.5 trillion won in 2024, a record at the time.

TURNAROUND

Analysts attribute SK Hynix's central role in the ‌global AI ecosystem to its decision to continue investing in HBM, a specialized memory chip stacked vertically to deliver faster performance and lower power consumption, during a downturn in the memory industry.

Unlike conventional memory products, HBM chips are tightly integrated with AI processors, creating significantly higher barriers to entry and giving suppliers greater pricing power.

By 2025, SK Hynix captured 61% of the global HBM market, far ahead of Samsung Electronics' 17% and Micron's 21%.

SK Hynix was founded in 1983 ‌as a unit of Hyundai, but was later spun off and purchased by SK Group, the family-run "chaebol" conglomerate whose businesses span telecoms to energy.

SK Group Chairman Chey Tae-won, who faced strong ⁠opposition to the deal at the time, ⁠explained his thinking in a book published in January.

"What I really wanted to accomplish when we acquired Hynix was to transform it from a commodity memory producer into a mainstream semiconductor company whose products are indispensable," Chey said.

"In the past, it did not matter whether memory came from Hynix, Samsung or Micron. They were interchangeable commodity products. HBM is different. If SK Hynix's HBM is replaced with another product, the AI system may not function properly. What used to be a peripheral component has become a core component," Chey said.

Analysts say that Samsung's position as the world's largest DRAM producer could also be under threat by SK Hynix.

Bank of America estimates that SK Hynix's monthly DRAM output will reach about 589,000 wafers this year, compared with roughly 691,000 wafers for Samsung Electronics.

However, SK Hynix is likely to expand DRAM output by about 38% between 2025 and 2028, compared with about 17.5% growth at its rival. That would narrow SK Hynix's production gap to less than 10% by 2028 from about 23% in 2025, which would be a particularly significant achievement because of Samsung's larger manufacturing scale.

"Previously, the difference in manufacturing scale meant there was simply no way for rivals to close the profitability gap with Samsung," said Kim. Reuters has reported that SK Hynix is opting to choose the Nasdaq for its planned US listing, which would broaden the company's investor base and raise its profile further among global investors.



Trump Says Will Not Tolerate Attempts to Slow AI Growth

An AI (Artificial Intelligence) sign is seen at the World Artificial Intelligence Conference (WAIC) in Shanghai, China July 6, 2023. (Reuters)
An AI (Artificial Intelligence) sign is seen at the World Artificial Intelligence Conference (WAIC) in Shanghai, China July 6, 2023. (Reuters)
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Trump Says Will Not Tolerate Attempts to Slow AI Growth

An AI (Artificial Intelligence) sign is seen at the World Artificial Intelligence Conference (WAIC) in Shanghai, China July 6, 2023. (Reuters)
An AI (Artificial Intelligence) sign is seen at the World Artificial Intelligence Conference (WAIC) in Shanghai, China July 6, 2023. (Reuters)

US President Donald Trump on Saturday lashed out at critics of artificial intelligence and data centers, saying he would not allow the "destruction" of the industry and announcing the creation of a new government "AI Force."

Trump -- who finds himself out of step with growing public skepticism over AI and dire safety warnings from AI industry leaders -- said liberals want the "decimation, or destruction, of AI."

"I, as President of the United States, will not stand by and let this happen," he wrote on his Truth Social platform.

"We will not in any way hinder or stifle the Growth of this incredible Industry. Rather, we will cherish it, help it, and watch over it, as it grows!"

Trump added, without explaining, that he was creating an "AI Force" that would be tasked with "looking for BAD" actors, and would soon announce an AI coordinator or "Czar."

Trump's latest full-throated defense of artificial intelligence came even though polls show Americans are largely opposed to allowing the energy-guzzling data centers that are the engines of AI to be built in their communities.

As the war against Iran drags on and Americans grapple with the inflation it has fueled, Trump's approval rating is low.

Surveys suggest his Republican Party could lose control of the House and perhaps the Senate in November's midterm elections.

Trump is also firmly embracing the technology despite widespread warnings, even from top industry leaders, that AI development is going too fast and the technology could soon threaten our survival as ever-smarter AI agents escape the control of their human designers.

Jacob Coxon, a former AI researcher who worked at Anthropic before resigning, set off the latest round of alarm by describing how those building the technology "earnestly believe that it could kill us all by the end of the decade."

Trump has repeatedly dismissed all the doomsday talk, calling it a "hoax" -- a term he often uses for crises or issues he cannot control.

The president said the United States could not afford to lose a technological race with rival China and he insisted the only guardrails necessary were a "STRONG AND SMART (High IQ!) PRESIDENT, and the U.S.A. has that, in spades!"

In another social media post on Saturday, Trump mused on whether artificial intelligence is an accurate term, offered three alternatives in what he called a poll, and asked people to weigh in.

The three are superior intelligence, extreme intelligence and supreme intelligence, Trump wrote.

"This is a Poll, and I would appreciate everybody voting! Which is the best name for this ever growing "Revolution?"


Google's Gemini AI Carried Out Cyberattacks, Guessed Passwords

Google's AI model 'Gemini' (Reuters)
Google's AI model 'Gemini' (Reuters)
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Google's Gemini AI Carried Out Cyberattacks, Guessed Passwords

Google's AI model 'Gemini' (Reuters)
Google's AI model 'Gemini' (Reuters)

Google's consumer AI model Gemini hacked multiple systems through guessing login credentials, the company told AFP on Friday, the latest case of rogue AI cybersecurity transgressions, which have generated safety concerns.

The hacks, first reported by the Wall Street Journal, took place in May and were discovered by Google in July.

"In a standard evaluation, the model found public information online and guessed credentials to access websites it thought were part of the test," Heather Adkins, Google's vice president of security engineering, told AFP in a statement.

"In all three of these instances, the model stopped," Adkins added, without specifying which organizations were breached.

"We ensured the three entities were made aware, and we worked with our training partner on the changes they've now made to their testing processes."

In July, two OpenAI models escaped the closed environment they were meant to stay in, got onto the internet on their own and broke into the internal systems AI platform Hugging Face.

The incident fed worries that AI giants cannot keep their own models under control, as similar episodes have been reported at Anthropic and China's Moonshot AI.

"These events highlight the importance of training powerful AI models to act responsibly," Adkins emphasized.


Founder of Chinese Startup Spirit AI Says Robot Brains Set for 2027 Breakthrough

FILE PHOTO: The words "AI Artificial Intelligence," a keyboard and a robotic hand are shown in this illustration created on June 5, 2026. REUTERS/Dado Ruvic/Illustration/File Photo
FILE PHOTO: The words "AI Artificial Intelligence," a keyboard and a robotic hand are shown in this illustration created on June 5, 2026. REUTERS/Dado Ruvic/Illustration/File Photo
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Founder of Chinese Startup Spirit AI Says Robot Brains Set for 2027 Breakthrough

FILE PHOTO: The words "AI Artificial Intelligence," a keyboard and a robotic hand are shown in this illustration created on June 5, 2026. REUTERS/Dado Ruvic/Illustration/File Photo
FILE PHOTO: The words "AI Artificial Intelligence," a keyboard and a robotic hand are shown in this illustration created on June 5, 2026. REUTERS/Dado Ruvic/Illustration/File Photo

Humanoid robot brains are likely to achieve a breakthrough as soon as mid-2027, but their deployment in homes could take at least eight years as model development faces a data bottleneck, leading Chinese embodied AI firm Spirit AI said this week.

Despite impressive hardware advances allowing Chinese humanoids to sprint, dance and do backflips on command, Chinese robot firms are increasingly focusing on the software that determines robots' intelligence and their economic productivity in real-world settings.

"The brain is indeed the weakest link in the complete robotics stack," Gao Yang, co-founder and chief scientist of Spirit AI, told Reuters at its Beijing offices on Thursday.

An industry breakthrough comparable to ⁠OpenAI's landmark GPT-3.0 model, ⁠which powered ChatGPT, could come around mid-2027, said Gao. Spirit AI's robots have achieved a 90% success rate for simple tasks in structured living-room environments.

"The next one to two years mark the initial window for industrial applications. Two years from now, we'll see robots deployed in commercial service settings doing simpler tasks. Entering homes is far harder than both," said Gao, who is also an assistant professor of robotics at Tsinghua University.

Spirit AI ⁠currently has tens of its own Moz1 wheeled humanoid robots deployed on production lines at battery maker CATL and retailer JD.com, which is also an investor.

The 300-person startup has raised over $670 million since its 2024 founding, making it one of China's most rapidly capitalized embodied intelligence firms. It is currently valued at 20 billion yuan ($2.9 billion). Gao declined to comment on any plans for an initial public offering.

"Progress is extremely fast. When Spirit AI was founded, a robot could perform only one isolated task well, like pouring water or folding a piece of clothing," said Gao.

"Today, robots operate across large spatial areas and execute continuous complex workflows."

Difficulties remain in perfecting fine-motor actions like unscrewing a bottle cap ⁠and dealing with ⁠unseen tasks, he said. Spirit AI overwhelmingly relies on real-world data to train its robot brains instead of virtual simulations, which many competitors use to reduce model training costs.

"Simulators handle rigid bodies well, but flexible objects like deformable electric cables remain a problem," said Gao.

The company employs around 1,000 contractors nationwide using wearable data-collection equipment in households and on production lines.

Its Beijing offices include a robot data training center where a Reuters witness saw dozens of young people fitted with sensors who repeated motions like opening fridges, unlocking safes, and cutting vegetables with knives to train the humanoid robots.

In other robot-training facilities in China, operators may need to repeat a movement more than 50 times to get one "clean" movement with the required precision.

However, Spirit AI found that using "dirty data" with a more diverse range of motions enabled its models to improve faster, Gao said.