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The landmark Namsan Seoul Tower.

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South Korea’s dominance in the memory chip market and a robust artificial intelligence ecosystem gives it an advantage in the global AI chip race, said industry observers.

“South Korea is very strong in memory chips. AI does require a lot of memory. South Korea dominating in the memory market is definitely an advantage,” said James Lim, senior research analyst at Dalton Investments.

South Korea is aiming to become one of the world’s top three AI powerhouses by 2027, following closely behind the U.S. and China, according to the nation’s “digital strategy.”

The country’s minister for science and information and communications technology, Jong-ho Lee, told CNBC the country “aims to maintain its leading position in the memory semiconductor field.”

“South Korea seeks to emerge as a prominent player in rapidly growing and promising areas such as AI semiconductors,” said Lee.

Large language models such as ChatGPT — which caused global AI adoption to explode in recent months — are increasingly in need of high-performance memory chips. Such chips enable generative AI models to remember details from past conversations and user preferences in order to generate humanlike responses.

Our A.I. chip is optimized exclusively for A.I. computation, says South Korean startup

Generative AI is a type of artificial intelligence that can generate content such as text, images, code and more.

“In order for the use of AI, including ultra-large language models, a significant number of semiconductor chips are required to operate, and global companies are competing fiercely to create high-performance and low-power AI semiconductors optimized for AI computation,” Lee said.

Chip giants Samsung, SK Hynix

South Korean firms Samsung Electronics and SK Hynix are two of the world’s largest dynamic random-access memory chipmakers and have been actively investing in AI research and development to bolster their capabilities.

Samsung in March said that it plans to invest 300 trillion Korean won ($228 billion) in a new semiconductor facility in South Korea.

Samsung is “spending and spending and spending,” Dylan Patel of research and consulting firm SemiAnalysis told CNBC last month. “And why is that? So they can catch up on technology, so they can continue to maintain their leadership position.”

We will spare no effort to help Korea secure world-class AI semiconductor technology by leveraging our memory semiconductor capabilities to advance AI semiconductors…

Jong-ho Lee

Minister for Science and ICT

Data from research firm TrendForce showed that Samsung held a market share of 40.7% and SK Hynix held 28.8% in the same period in the fourth quarter of 2022, followed by Micron in third place at 26.4%. Memory chips are also used in computers, smartphones and tablets as storage devices.

“South Korea has a robust local AI ecosystem, capable of competing with global tech giants,” said Sung Nako, executive for large scale AI development at South Korean internet giant Naver.

ChatGPT maker OpenAI’s CEO Sam Altman had urged South Korea to lead AI chip production during his meeting with South Korean President Yoon Suk-yeol in June. Altman also expressed interest in investing in South Korean startups and partnering with major chipmakers like Samsung Electronics.

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“U.S. chip giants Nvidia, Intel — they are not involved in the memory business. They don’t have any exposure in the memory space,” said Dalton’s Lim, adding that this would give South Korea an advantage.

Samsung is the supplier of high bandwidth memory chips to Nvidia, which fit into the U.S. chipmaker’s latest A100 graphics processing units that train ChatGPT.

Geoffrey Cain, author of the 2020 book “Samsung Rising,” told CNBC last month that he sees Samsung “diving deeper into the logic chip segment. So, [that’s] the AI chips, the future applications for semiconductor technology.”

An ‘upper hand’

The South Korean government is investing heavily in AI.

In 2022, the MSIT said it will be deploying 1.02 trillion won ($786 million) of funding for AI semiconductor research and development over the next five years.

“AI not only drives the growth of digital industries such as cloud computing and metaverse but also serves as a key factor in dramatically improving productivity in traditional industries such as manufacturing and logistics,” Lee told CNBC.

“With AI being applied across various domains, even greater economic ripple effects can now be anticipated,” he said.

South Korea will also allocate 826.2 billion won through 2030 to build high-end chips through new data centers and working with startups.

In a press release last month, the minister said that “the economic and industrial value of AI semiconductor will continue to improve and Korea has the upper hand in the memory chip [sector] and foundry.”

“We will spare no effort to help Korea secure world-class AI semiconductor technology by leveraging our memory semiconductor capabilities to advance AI semiconductors in stages by 2030, developing additional to apply them to data centers, and fostering AI semiconductor experts,” he said in the release.

Investors are showing a 'high interest' in backing A.I. startups in South Korea, VC firm says

In a bid to challenge to U.S. chip giants, South Korean AI chip design startup Rebellions claimed its new chip surpassed performance standards, outperforming Nvidia’s equivalent GPUs by more than three times.

“In terms of AI workload, we have much better energy efficiency, cost efficiency … sometimes better performance,” Rebellions co-founder and CEO Park Sung-hyun told CNBC in May.

Rebellions is reportedly racing to win government contracts as Seoul aims to bolster its local companies.

“I see a lot of — thanks to OpenAI’s ChatGPT — founders starting companies in the region, and also a lot of investors, with the support from the government, showing a high interest in backing these startups,” said JP Lee, CEO and managing partner at SoftBank Ventures Asia, on CNBC’s “Street Signs Asia.”

— CNBC’s Katie Tarasov contributed to this report.

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Chinese tech giant Tencent’s quarterly revenue rises 15%, fueled by AI

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Chinese tech giant Tencent's quarterly revenue rises 15%, fueled by AI

Tencent on Thursday posted 15% year-on-year revenue growth, with AI boosting the Chinese tech giant’s performance in advertising targeting and gaming.

Here’s how Tencent performed in the third quarter of 2025, per earnings released on Thursday: 

  • Revenue: 192.9 billion Chinese yuan ($27.12 billion), surpassing the 189.2 billion Chinese yuan expected analysts, according to data compiled by LSEG. 
  • Operating profit: 63.6 billion yuan, versus 58.01 billion yuan expected by the street.  

Tencent boosted its capital expenditure earlier this year as it ramped up AI and eyed European expansion for its cloud computing services, which would compete against market leaders Amazon Web Services, Google Cloud and Microsoft Azure. It has its own AI foundational model in China called Hunyuan, however it also uses DeepSeek in some products.  

Tencent shares are up 56.7% year-to-date. 

This is a breaking news story. Please refresh for updates.

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CNBC Daily Open: There’s the AI market, and then there’s ‘everything else’

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CNBC Daily Open: There's the AI market, and then there's 'everything else'

Traders work on the floor of the New York Stock Exchange (NYSE) on Nov. 12, 2025 in New York City.

Spencer Platt | Getty Images

The divergence between the performance of the Dow Jones Industrial Average and Nasdaq Composite on Wednesday stateside reinforces the suggestion that there are two markets operating in the U.S.: one of an artificial intelligence and another of “everything else.”

Not only did the Dow rise, it also secured its second consecutive record high and closed above the 48,000 level for the first time.

The index, which comprises 30 blue-chip companies, is typically seen as a marker of the “old economy.” That is to say, it is mostly made up of large, well-established companies driving the U.S. economy, such as banks, healthcare and industrials, before Silicon Valley became a mini sun powering everything.

And it was those stocks — Goldman Sachs, Eli Lilly and Caterpillar — that lifted the Dow on Wednesday.

To be sure, new and flashy names, such as Nvidia and Salesforce, constitute the Dow too. But as the index is price-weighted, meaning that companies with higher share prices influence the Dow more, tech companies don’t exert as much gravity on it.

That’s in contrast to the Nasdaq, which is weighted by companies’ market capitalization, and dominated mainly by technology firms. The tech-heavy index fell as shares like Oracle and Palantir slipped — even Advanced Micro Devices’ 9% pop on its growth prospects couldn’t rescue the Nasdaq from the red.

It’s not necessarily a warning sign about overexuberance in AI.

“There’s nothing wrong, in our view, of kind of trimming back, taking some gains and re-diversifying across other spots in the equity markets,” said Josh Chastant, portfolio manager of public investments at GuideStone Fund.

But what investors would really like is if fork in the road merges into one. That tends to be the safer path to take.

What you need to know today

And finally…

People walk by the New York Stock Exchange (NYSE) on June 18, 2024 in New York City. 

Spencer Platt | Getty Images

Why private equity is stuck with ‘zombie companies’ it can’t sell

Private equity firms are facing a new reality: a growing crop of companies that can neither thrive nor die, lingering in portfolios like the undead.

These so-called “zombie companies” refer to businesses that aren’t growing, barely generate enough cash to service debt and are unable to attract buyers even at a discount. They are usually trapped on a fund’s balance sheet beyond its expected holding period.

Lee Ying Shan

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We’re increasing our Cisco Systems price target after an AI-fueled beat and raise

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We're increasing our Cisco Systems price target after an AI-fueled beat and raise

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