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U.S. Moves To Close Overseas Access To Nvidia’s AI Chips

U.S. export controls restrict Nvidia’s most advanced AI chips from being shipped to China, but Chinese companies may still access their computing power through data centers in other countries.

The issue has gained attention as Chinese firms release increasingly capable AI models. In July, White House official Michael Kratsios accused Moonshot AI of using Nvidia GB300 chips through a facility in Thailand after the launch of its Kimi K3 model.

How Chinese Firms Access Chips Abroad

Current U.S. rules primarily restrict the physical shipment and ownership of advanced AI chips, rather than remote access to computing power hosted overseas.

Cassia King of the Institute for AI Policy and Strategy told CNBC that Moonshot’s reported access through Thailand could be legal if the company did not own the physical hardware.

Chinese firms including ByteDance, Alibaba and Tencent have reportedly accessed Nvidia-powered infrastructure remotely through Thailand, Malaysia and Japan. ByteDance was also reportedly working with Singapore-based cloud provider Aolani to access Nvidia-powered computing in Malaysia.

Southeast Asia’s Growing Data Center Market

The development comes as data center construction accelerates across Southeast Asia. JLL estimates that global data center capacity could nearly double to 200GW by 2030, while DC Byte has identified 31 planned data centers of at least 100MW across Malaysia, Indonesia and Thailand.

That expanding infrastructure could give Chinese companies greater access to advanced computing without moving restricted chips into China.

Proposed Law Could Close The Gap

The proposed Remote Access Security Act would extend U.S. export controls to remote cloud access to critical hardware and software. It passed the House in January but still needs Senate approval.

Michelle Nie of the Center for a New American Security said the loophole undermines the goal of restricting China’s access to advanced U.S. chips.

However, legislation alone would not immediately solve the problem. Regulators would still need to determine which computing resources are restricted, who can access them and how cloud providers should verify customers.

According to King, creating rules could be done quickly with White House support, but making them effective and enforceable would be the bigger challenge.

AI Is Everywhere, But Consumers Are Growing More Skeptical

AI is advancing rapidly, but public enthusiasm is moving in the opposite direction. Recent surveys show that more Americans are becoming concerned about the technology, while growing opposition to data centers is turning AI’s social acceptance into a business and political challenge.

A Pew Research study found that 52% of Americans are now “more concerned than excited” about the growing use of AI in daily life, up from 37% in 2021. A May Economist/YouGov poll also found that more than 70% believe AI is developing too quickly.

The political backlash is becoming harder to ignore. Axios reported that the National Republican Senatorial Committee warned major AI companies that data center projects could hurt Republican candidates in a key Ohio election.

AI’s Growing Reputation Problem

Public concern is also showing up among younger Americans. A CNBC poll found that most respondents aged 18 to 34 did not trust nine leading AI executives to act responsibly on AI.

For many consumers, AI is increasingly associated with chatbots, AI-powered search and features appearing inside everyday products, rather than with major improvements to their lives. Google has transformed Search with AI, while companies are adding AI to products ranging from email to televisions.

At the same time, people are hearing about AI being used by students to cheat, while companies face disputes over copyrighted material used to train models and generate art, music, video and writing.

That combination is creating a difficult perception: consumers are being asked to accept the disruption caused by AI without necessarily seeing enough personal benefit in return.

Data Centers Add To The Backlash

The problem extends beyond software. Tech companies are spending enormous sums building AI data centers, but communities are increasingly pushing back over issues including electricity demand, water use and infrastructure.

According to The Wall Street Journal, companies are responding with additional incentives such as employment commitments and investments in local infrastructure. One Louisiana project even included $50,000 bonuses for teachers.

Meanwhile, some consumers are gravitating toward technology that feels deliberately less connected. Young people are showing renewed interest in dumbphones, point-and-shoot cameras, cassette players and CD players. AI-free classic iPods are also attracting attention, while offline hobbies and in-person activities are gaining popularity.

The Industry Is Starting To Take Notice

Some technology executives believe the backlash is partly a communication problem. Others are increasingly acknowledging that consumers may understand AI perfectly well but simply don’t consider its current benefits worth the trade-offs.

Airbnb CEO Brian Chesky recently said on a podcast that the industry needs to build products that ordinary people genuinely value, rather than focusing primarily on AI itself.

Anthropic CEO Dario Amodei similarly described negative perceptions of AI as a “big problem” and a “crisis of trust” in a post on X. In his view, the strongest response would be for AI companies to actually deliver on their biggest promises, including breakthroughs that could significantly improve people’s lives.

For an industry that has attracted hundreds of billions of dollars on the expectation that AI will transform everyday life, technological progress alone may no longer be enough. The bigger challenge could be convincing people that they are actually better off because of it.

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