Biden Issues Executive Order Restricting US Investments in Chinese Technology 

US President Joe Biden delivers remarks on the economy at Arcosa, a wind tower manufacturing facility in Belen, New Mexico, US August 9, 2023. (Reuters)
US President Joe Biden delivers remarks on the economy at Arcosa, a wind tower manufacturing facility in Belen, New Mexico, US August 9, 2023. (Reuters)
TT

Biden Issues Executive Order Restricting US Investments in Chinese Technology 

US President Joe Biden delivers remarks on the economy at Arcosa, a wind tower manufacturing facility in Belen, New Mexico, US August 9, 2023. (Reuters)
US President Joe Biden delivers remarks on the economy at Arcosa, a wind tower manufacturing facility in Belen, New Mexico, US August 9, 2023. (Reuters)

President Joe Biden signed an executive order Wednesday to block and regulate high-tech US-based investments going toward China — a move the administration said was targeted but it also reflected an intensifying competition between the world's two biggest powers.

The order covers advanced computer chips, micro electronics, quantum information technologies and artificial intelligence. Senior administration officials said that the effort stemmed from national security goals rather than economic interests, and that the categories it covered were intentionally narrow in scope. The order seeks to blunt China's ability to use US investments in its technology companies to upgrade its military while also preserving broader levels of trade that are vital for both nations' economies.

The Chinese Ministry of Commerce responded in a statement early Thursday that it has “serious concern” about the order and “reserves the right to take measures.”

The United States and China appear to be increasingly locked in a geopolitical competition with a conflicting set of values. Biden administration officials have insisted that they have no interest in “decoupling” from China, yet the US also has limited the export of advanced computer chips and kept the expanded tariffs set up by President Donald Trump. And in its response, China accused the US of “using the cover of ‘risk reduction’ to carry out ‘decoupling and chain-breaking.’” China has engaged in crackdowns on foreign companies.

Biden has suggested that China's economy is struggling and its global ambitions have been tempered as the US has reenergized its alliances with Japan, South Korea, Australia and the European Union. The administration consulted with allies and industry in shaping the executive order.

“Worry about China, but don’t worry about China,” Biden told donors at a June fundraising event in California.

The officials previewing the order said that China has exploited US investments to support the development of weapons and modernize its military. The new limits were tailored not to disrupt China's economy, but they would complement the export controls on advanced computer chips from last year that led to pushback by Chinese officials. The Treasury Department, which would monitor the investments, will announce a proposed rulemaking with definitions that would conform to the presidential order and go through a public comment process.

The goals of the order would be to have investors notify the US government about certain types of transactions with China as well as to place prohibitions on some investments. Officials said the order is focused on areas such as private equity, venture capital and joint partnerships in which the investments could possibly give countries of concern such as China additional knowledge and military capabilities.

J. Philip Ludvigson, a lawyer and former Treasury official, said the order was an initial framework that could be expanded over time.

“The executive order issued today really represents the start of a conversation between the US government and industry regarding the details of the ultimate screening regime,” Ludvigson said. “While the executive order is limited initially to semiconductors and microelectronics, quantum information technologies, and artificial intelligence, it explicitly provides for a future broadening to other sectors.”

The issue is also a bipartisan priority. In July by a vote of 91-6, the Senate added as an amendment to the National Defense Authorization Act requirements to monitor and limit investments in countries of concern, including China.

Yet reaction to Biden's order on Wednesday showed a desire to push harder on China. Rep. Raja Krishnamoorthi, D-Ill., said the order was an “essential step forward," but it “cannot be the final step.” Republican presidential candidate Nikki Haley, a former US ambassador to the United Nations, said Biden should been more aggressive, saying, “we have to stop all US investment in China’s critical technology and military companies — period.”

Biden has called Chinese President Xi Jinping a “dictator” in the aftermath of the US shooting down a spy balloon from China that floated over the United States. Taiwan's status has been a source of tension, with Biden saying that China had become coercive regarding its independence.

China has supported Russia after its 2022 invasion of Ukraine, though Biden has noted that the friendship has not extended to the shipment of weapons.

The US Chamber of Commerce said it met a number of times with the White House and federal agencies as the order was being prepared and said its goal during the comment period will be “to ensure the measure is targeted and administrable.”

US officials have long signaled the coming executive order on investing in China, but it's unclear whether financial markets will regard it as a tapered step or a continued escalation of tensions at a fragile moment.

“The message it sends to the market may be far more decisive,” said Elaine Dezenski, a senior director at the Foundation for Defense of Democracies. “US and multinational companies are already reexamining the risks of investing in China. Beijing’s so-called ‘national security’ and ‘anti-espionage’ laws that curb routine and necessary corporate due diligence and compliance were already having a chilling effect on US foreign direct investment. That chilling now risks turning into a deep freeze.”

In its statement, the Chinese Ministry of Commerce said the executive order “seriously deviates from the market economy and fair competition principles the United States has always advocated. It affects the normal business decisions of enterprises, disrupts the international economic and trade order and seriously disrupts the security of global industrial and supply chains.”

China's strong economic growth has stumbled coming out of pandemic lockdowns. On Wednesday, its National Bureau of Statistics reported a 0.3% decline in consumer prices in July from a year ago. That level of deflation points to a lack of consumer demand in China that could hamper growth.

Separately, foreign direct investment into China fell 89% from a year earlier in the second quarter of this year to $4.9 billion, according to data released by the State Administration of Foreign Exchange.

Most foreign investment is believed to be brought in by Chinese companies and disguised as foreign money to get tax breaks and other benefits, according to Chinese researchers.

However, foreign business groups say global companies also are shifting investment plans to other economies.

Foreign companies have lost confidence in China following tighter security controls and a lack of action on reform promises. Calls by Xi and other leaders for more economic self-reliance have left investors uneasy about their future in the state-dominated economy.



Meta Shares Skyrocket, Microsoft Slides on Wall Street after Earnings

A Microsoft logo is seen a day after Microsoft Corp's $26.2 billion purchase of LinkedIn Corp, in Los Angeles, California, US, June 14, 2016. REUTERS/Lucy Nicholson
A Microsoft logo is seen a day after Microsoft Corp's $26.2 billion purchase of LinkedIn Corp, in Los Angeles, California, US, June 14, 2016. REUTERS/Lucy Nicholson
TT

Meta Shares Skyrocket, Microsoft Slides on Wall Street after Earnings

A Microsoft logo is seen a day after Microsoft Corp's $26.2 billion purchase of LinkedIn Corp, in Los Angeles, California, US, June 14, 2016. REUTERS/Lucy Nicholson
A Microsoft logo is seen a day after Microsoft Corp's $26.2 billion purchase of LinkedIn Corp, in Los Angeles, California, US, June 14, 2016. REUTERS/Lucy Nicholson

Shares in Meta skyrocketed by 10 percent at opening on Wall Street on Thursday, a day after the social media giant posted better than expected earnings as the company invests heavily in artificial intelligence.

Microsoft, whose earnings disappointed analysts, saw its share price tumble by 10 percent, with investors showing concern for the return on investment for the software giant's spending on AI.


Samsung Logs Best-ever Profit on AI Chip Demand

South Korean tech giant Samsung Electronics posted record quarterly profits on Thursday, riding strong market demand for its artificial intelligence chips. Jung Yeon-je / AFP/File
South Korean tech giant Samsung Electronics posted record quarterly profits on Thursday, riding strong market demand for its artificial intelligence chips. Jung Yeon-je / AFP/File
TT

Samsung Logs Best-ever Profit on AI Chip Demand

South Korean tech giant Samsung Electronics posted record quarterly profits on Thursday, riding strong market demand for its artificial intelligence chips. Jung Yeon-je / AFP/File
South Korean tech giant Samsung Electronics posted record quarterly profits on Thursday, riding strong market demand for its artificial intelligence chips. Jung Yeon-je / AFP/File

South Korean tech giant Samsung Electronics posted record quarterly profits Thursday, riding massive market demand for the memory chips that power artificial intelligence.

A global frenzy to build AI data centers and develop the fast-evolving technology has sent orders for advanced high bandwidth memory microchips soaring.

That is also pushing up prices for less flashy chips used in consumer electronics -- threatening higher prices for phones, laptops and other devices worldwide.

In the quarter to December 2025, Samsung said it saw "its highest-ever quarterly consolidated revenue at KRW 93.8 trillion (US$65.5 billion)", a quarter-on-quarter increase of nine percent.

"Operating profit was also an all-time high, at KRW 20.1 trillion," the company said.

The dazzling earnings came a day after a key competitor, South Korean chip giant SK hynix, said operating profit had doubled last year to a record high, also buoyed by the AI boom.

The South Korean government has pledged to become one of the top three AI powers, behind the United States and China, with Samsung and SK hynix among the leading producers of high-performance memory.

Samsung said Thursday it expects "AI and server demand to continue increasing, leading to more opportunities for structural growth".

Annual revenue stood at 333.6 trillion won, while operating profit came in at 43.6 trillion won. Sales for the division that oversees its semiconductor business rose 33 percent quarter-on-quarter.

The company pointed to a $33.2 billion investment in chip production facilities -- pledging to continue spending in "transitioning to advanced manufacturing processes and upgrading existing production lines to meet rising demand".

- 'Clearly back' -

Major electronics manufacturers and industry analysts have warned that chipmakers focusing on AI sales will cause higher retail prices for consumer products across the board.

This week US chip firm Micron said it was building a $24 billion plant in Singapore in response to AI-driven demand that has caused a global shortage of memory components.

SK hynix announced Wednesday that its operating profit had doubled last year to a record 47.2 trillion won.

The company's shares have surged some 220 percent over the past six months, while Samsung Electronics has risen about 130 percent, part of a huge global tech rally fueled by optimism over AI.

Both companies are on the cusp of producing next-generation high-bandwidth "HBM4" chips for AI data centers, with Samsung reportedly due to start making them in February.

American chip giant Nvidia -- now the world's most valuable company -- is expected to be one of Samsung's customers for HBM4 chips.

But Nvidia has reportedly allocated around 70 percent of its HBM4 demand to SK hynix for 2026, up from the market's previous estimate of 50 percent.

"Samsung is clearly back and we are expecting them to show a significant turnaround with HBM4 for Nvidia's new products -- helping them move past last year's quality issues," Hwang Min-seong, research director at market analysis firm Counterpoint, told AFP.

But SK still "maintains a market lead in both quality and supply" of a number of key components, including Dynamic Random Access Memory chips used in AI servers, he said.

SK also this week said it will set up an "AI solutions firm" in the United States, committing $10 billion and weighing investments in US companies.


Google Unveils AI Tool Probing Mysteries of Human Genome

A Google logo is seen at a company research facility in Mountain View, California, US, May 13, 2025. (Reuters)
A Google logo is seen at a company research facility in Mountain View, California, US, May 13, 2025. (Reuters)
TT

Google Unveils AI Tool Probing Mysteries of Human Genome

A Google logo is seen at a company research facility in Mountain View, California, US, May 13, 2025. (Reuters)
A Google logo is seen at a company research facility in Mountain View, California, US, May 13, 2025. (Reuters)

Google unveiled an artificial intelligence tool Wednesday that its scientists said would help unravel the mysteries of the human genome -- and could one day lead to new treatments for diseases.

The deep learning model AlphaGenome was hailed by outside researchers as a "breakthrough" that would let scientists study and even simulate the roots of difficult-to-treat genetic diseases.

While the first complete map of the human genome in 2003 "gave us the book of life, reading it remained a challenge", Pushmeet Kohli, vice president of research at Google DeepMind, told journalists.

"We have the text," he said, which is a sequence of three billion nucleotide pairs represented by the letters A, T, C and G that make up DNA.

However, "understanding the grammar of this genome -- what is encoded in our DNA and how it governs life -- is the next critical frontier for research," said Kohli, co-author of a new study in the journal Nature.

Only around two percent of our DNA contains instructions for making proteins, which are the molecules that build and run the body.

The other 98 percent was long dismissed as "junk DNA" as scientists struggled to understand what it was for.

However, this "non-coding DNA" is now believed to act like a conductor, directing how genetic information works in each of our cells.

These sequences also contain many variants that have been associated with diseases. It is these sequences that AlphaGenome is aiming to understand.

- A million letters -

The project is just one part of Google's AI-powered scientific work, which also includes AlphaFold, the winner of 2024's chemistry Nobel.

AlphaGenome's model was trained on data from public projects that measured non-coding DNA across hundreds of different cell and tissue types in humans and mice.

The tool is able to analyze long DNA sequences then predict how each nucleotide pair will influence different biological processes within the cell.

This includes whether genes start and stop and how much RNA -- molecules which transmit genetic instructions inside cells -- is produced.

Other models already exist that have a similar aim. However, they have to compromise, either by analyzing far shorter DNA sequences or decreasing how detailed their predictions are, known as resolution.

DeepMind scientist and lead study author Ziga Avsec said that long sequences -- up to a million DNA letters long -- were "required to understand the full regulatory environment of a single gene".

And the high resolution of the model allows scientists to study the impact of genetic variants by comparing the differences between mutated and non-mutated sequences.

"AlphaGenome can accelerate our understanding of the genome by helping to map where the functional elements are and what their roles are on a molecular level," study co-author Natasha Latysheva said.

The model has already been tested by 3,000 scientists across 160 countries and is open for anyone to use for non-commercial reasons, Google said.

"We hope researchers will extend it with more data," Kohli added.

- 'Breakthrough' -

Ben Lehner, a researcher at Cambridge University who was not involved in developing AlphaGenome but did test it, said the model "does indeed perform very well".

"Identifying the precise differences in our genomes that make us more or less likely to develop thousands of diseases is a key step towards developing better therapeutics," he explained.

However, AlphaGenome "is far from perfect and there is still a lot of work to do", he added.

"AI models are only as good as the data used to train them" and the existing data is not very suitable, he said.

Robert Goldstone, head of genomics at the UK's Francis Crick Institute, cautioned that AlphaGenome was "not a magic bullet for all biological questions".

This was partly because "gene expression is influenced by complex environmental factors that the model cannot see", he said.

However, the tool still represented a "breakthrough" that would allow scientists to "study and simulate the genetic roots of complex disease", Goldstone added.