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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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Software startup deploys Singapore’s first quantum computer for commercial use

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Software startup deploys Singapore’s first quantum computer for commercial use

Inside Horizon Quantum’s office in Singapore on Dec. 3, 2025. The software firm claimed it is the first private company to deploy a commercial quantum computer in the city-state.

Sha Ying | CNBC International

Singapore-based software firm Horizon Quantum on Wednesday said it has become the first private company to run a quantum computer for commercial use in the city-state, marking a milestone ahead of its plans to list in the U.S.

The start-up, founded in 2018 by quantum researcher Joe Fitzsimons, said the machine is now fully operational. It integrates components from quantum computing suppliers, including Maybell Quantum, Quantum Machines and Rigetti Computing.

According to Horizon Quantum, the new computer also makes it the first pure-play quantum software firm to own its own quantum computer — an integration it hopes will help advance the promising technology.

“Our focus is on helping developers to start harnessing quantum computers to do real-world work,” Fitzsimons, the CEO, told CNBC. “How do we take full advantage of these systems? How do we program them?” 

Horizon Quantum builds the software tools and infrastructure needed to power applications for quantum computing systems. 

“Although we’re very much focused on the software side, it’s really important to understand how the stack works down to the physical level … that’s the reason we have a test bed now,” Fitzsimons said. 

Quantum race

Horizon Quantum hopes to use its new hardware to accelerate the development of real-world quantum applications across industries, from pharmaceuticals to finance.

Quantum systems aim to tackle problems too complex for traditional machines by leveraging principles of quantum mechanics.

For example, designing new drugs, which requires simulating molecular interactions, or running millions of scenarios to assess portfolio risk, can be slow and computationally costly for conventional machines. Quantum computing is expected to provide faster, more accurate models to tackle these problems.

A top executive at Google working on quantum computers told CNBC in March that he believes the technology is only five years away from running practical applications.

Still, today’s quantum systems remain in the nascent stages of development and pose many engineering and programming challenges.

Investment in the space has been rising, however, as major tech companies report technological breakthroughs. Alphabet, Microsoft, Amazon and IBM, along with the U.S. government, are already pouring millions into quantum computing.

Investor attention also received a bump in June after Nvidia chief executive Jensen Huang offered upbeat remarks, saying quantum computing is nearing an “inflection point” and that practical uses may arrive sooner than he had expected.

Nvidia CEO: Quantum computing is reaching an inflection point

Nasdaq listing

Horizon Quantum’s announcement comes ahead of a merger with dMY Squared Technology Group Inc., a special purpose acquisition company. The deal, agreed upon in September, aims to take Horizon public on the Nasdaq under the ticker “HQ.”

The software firm said in September that the transaction valued the company at around $503 million and was expected to close in the first quarter of 2026. 

The launch of its quantum computer also helps cement Singapore’s ambition to be a regional quantum computing hub. The city-state has invested heavily in the technology for years, setting up its first quantum research center in 2007.

Before Horizon Quantum’s system came online, Singapore reportedly had one quantum computer, used primarily for research purposes. Meanwhile, U.S.-based firm Quantinuum plans to deploy another commercial system in 2026.

Singapore’s National Quantum Strategy, unveiled in May 2024, committed 300 million Singapore dollars over five years to expand the sector, with a significant portion directed toward building local quantum computer processors.  

In May 2024, the National Quantum Strategy (NQS), Singapore’s national quantum initiative, pledged around S$300 million over five years to strengthen development in the sector, with a significant portion directed toward building local quantum computer processors.

Why Amazon, Google, Microsoft, IBM and numerous startups are racing to build quantum computers

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A little-known startup just used AI to make a moon dust battery for Blue Origin

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A little-known startup just used AI to make a moon dust battery for Blue Origin

Istari Digital CEO Will Roper talks about the AI technology that built the Blue Origin moon vacuum

Artificial intelligence has created a device that turns moon dust into energy.

The moon vacuum, which was unveiled on Wednesday by Blue Origin at Amazon‘s re:Invent 2025 conference in Las Vegas, was built using critical technology from startup Istari Digital.

“So what it does is sucks up moon dust and it extracts the heat from it so it can be used as an energy source, like turning moon dust into a battery,” Istari CEO Will Roper told CNBC’s Morgan Brennan.

Spacecraft carrying out missions on the lunar surface are typically constrained by lunar night, the two-week period every 28 days during which the moon is cast in darkness and temperatures experience extreme drops, crippling hardware and rendering it useless unless a strong, long-lasting power source is present.

“Kind of like vacuuming at home, but creating your own electricity while you do it,” he added.

The battery was completely designed by AI, said Roper, who was assistant secretary of the Air Force under President Donald Trump‘s first term and is known for transforming the acquisition process at both the Air Force and, at the time, the newly created Space Force.

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A major part of the breakthrough in Istari’s technology is the way in which it handles and limits AI hallucinations.

Roper said the platform takes all the requirements a part needs and creates guardrails or a “fence around the playground” that the AI can’t leave while coming up with designs.

“Within that playground, AI can generate to its heart’s content,” he said.

“In the case of Blue Origin’s moon battery, [it] doesn’t tell you the design was a good one, but it tells us that all of the requirements were met, the standards were met, things like that that you got to check before you go operational,” he added.

Istari is backed by former Google CEO Eric Schmidt and already works with the U.S. government, including as a prime contractor with Lockheed Martin on the experimental x-56A unmanned aircraft.

Watch the full interview above and go deeper into the business of the stars with the Manifest Space podcast.

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Nvidia CEO Jensen Huang talks chip restrictions with Trump, blasts state-by-state AI regulations

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Nvidia CEO Jensen Huang talks chip restrictions with Trump, blasts state-by-state AI regulations

Jensen Huang: State-by-state AI regulation would drag industry to a halt

Nvidia CEO Jensen Huang said he met with President Donald Trump on Wednesday and that the two men discussed chip export restrictions, as lawmakers consider a proposal to limit exports of advanced artificial intelligence chips to nations like China.

“I’ve said it repeatedly that we support export controls, and that we should ensure that American companies have the best and the most and first,” Huang told reporters on Capitol Hill.

Lawmakers were considering including the Guaranteeing Access and Innovation for National Artificial Intelligence Act in a major defense package, known as the National Defense Authorization Act. The GAIN AI Act would require chipmakers like Nvidia and Advanced Micro Devices to give U.S. companies first pick on their AI chips before selling them in countries like China.

The proposal isn’t expected to be part of the NDAA, Bloomberg reported, citing a person familiar with the matter.

Huang said it was “wise” that the proposal is being left out of the annual defense policy bill.

“The GAIN AI Act is even more detrimental to the United States than the AI Diffusion Act,” Huang said.

Nvidia’s CEO also criticized the idea of establishing a patchwork of state laws regulating AI. The notion of state-by-state regulation has generated pushback from tech companies and spurred the creation of a super PAC called “Leading the Future,” which is backed by the AI industry.

“State-by-state AI regulation would drag this industry into a halt and it would create a national security concern, as we need to make sure that the United States advances AI technology as quickly as possible,” Huang said. “A federal AI regulation is the wisest.”

Trump last month urged legislators to include a provision in the NDAA that would preempt state AI laws in favor of “one federal standard.”

But House Majority Leader Steve Scalise (R-LA) told CNBC’s Emily Wilkins on Tuesday the provision won’t make it into the bill, citing a lack of sufficient support. He and other lawmakers will continue to look for ways to establish a national standard on AI, Scalise added.

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Nvidia obviously currying favor to be able to sell chips in China, says Niles Investment's Dan Niles

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