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How DeepSeek changed China’s AI ambitions
But when the Chinese startup DeepSeek released its AI models in January, claiming they matched American ones in performance at much cheaper prices to develop, the US lead was suddenly called into question. If DeepSeek can be believed, they achieved a huge technological advance without unfettered chip access — an affront to the US government’s export controls that, it thought, were keeping China at bay.
After DeepSeek, China is emboldened
Now, the Chinese tech industry seems emboldened, with a slew of new releases from startups and incumbents alike. This breakthrough has jumpstarted AI development across China that has, in an instant, changed global tech competition and reshaped Beijing’s tech strategy.
Alibaba, Tencent, and Baidu, along with newcomers like Manus AI, have since released their own advanced models. Many of these are available for free as open-source software, unlike the subscription models of OpenAI and others.
“DeepSeek shifts the narrative — not by immediately putting China ahead, but by undermining America's AI dominance and forcing Silicon Valley giants onto the defensive much sooner than anticipated,” said Tinglong Dai, professor at Johns Hopkins Carey Business School.
“DeepSeek did two things: increase confidence in China's ability to innovate and convince policymakers to push hard on tech advancement now,” said Kenton Thibaut, senior resident China fellow at the Atlantic Council's Digital Forensic Research Lab.
At a press conference earlier this month, Chinese Foreign Minister Wang Yi wrote off America’s strict export controls. “Where there is blockade, there is breakthrough,” he said. “Where there is suppression, there is innovation; where there is the fiercest storm, there is the platform launching China’s science and technology skyward like the Chinese mythological hero Nezha soaring into the heavens.”
Beijing’s shifting focus
After DeepSeek, Thibaut notes, the Chinese government has signaled it will expand support to finance technological innovation — increasing its relending program budget, establishing a new national venture capital fund, allowing unprofitable firms to go public, and increasing mergers and acquisitions in the Chinese tech sector.
This is a major shift from just a few years ago when Beijing sought to put the explosive domestic tech sector in its place — infamously sinking the IPO of the rideshare giant Didi and closing a key loophole for companies going public on foreign markets in 2021.
Beijing’s incentives are now “aligned” with developing the domestic tech sector, Thibaut said, “Both are aligned on the understanding that companies have major incentives to localize — i.e. using domestically produced chips, even if they aren’t as good as NVIDIA’s — in the long term because of just how uncertain and unpredictable chip availability is and will be.”
And China's embrace of open-source AI models, which are freely available for the public to download and modify, has also raised eyebrows because it stands in contrast with the mostly closed Western models, with Meta’s Llama as a notable exception. If China can get its open-source models to be commonly used by Western developers, it could make an important stake in the global AI space. That said, the open-source model could hinder the economic benefits of AI in China — at least, in terms of making money directly off of these advancements.
For now, we’re witnessing a moment of confidence for China — one shared by both its government and tech sector. “Xi Jinping surely feels emboldened,” Dai said, “viewing this as tangible evidence of Western vulnerability and China’s rising trajectory.”
The NVIDIA logo seen at the American GPU manufacturer NVIDIA Taipei office.
Nvidia forges deals in American Southwest and Southeastern Asia
The California-based chip giant is negotiating with Taiwan Semiconductor Manufacturing Company, or TSMC, the world’s top contract chipmaker, to manufacture its top-of-the-line Blackwell AI processors at TSMC’s Arizona facility. TSMC has invested billions to bring its high-tech manufacturing to the Southwest US, thanks in part to a $6.6 billion cash infusion from the Biden administration as part of the CHIPS and Science Act. Apple and AMD have reportedly already signed on to get their chips made in the Arizona plant when it starts production in the first half of 2025. That said, the chips won’t be entirely made in America: Final packaging is done back in Taiwan, which complicates and prolongs an already lengthy manufacturing process.
Halfway around the world, Nvidia CEO Jensen Huang met with the Thai and Vietnamese prime ministers last week as the company makes inroads in Southeast Asia. Nvidia also announced plans to establish Nvidia’s first research and development center in Vietnam, along with the acquisition of Vietnamese healthcare startup VinBrain for an undisclosed sum. In Thailand, the company signed a cloud deal with a company called SIAM.AI Cloud. Huang also emphasized the importance of “sovereign AI,” meaning that every country should have its own AI infrastructure and models.
In China, however, Nvidia is facing new scrutiny: The State Administration of Market Regulation is reportedly investigating whether the chipmaker violated antitrust laws when it acquired the Israeli-American company Mellanox in 2020. China previously gave conditional approval of the nearly $7 billion deal, but more than four years later, with the US restricting Nvidia from selling its most powerful chips to Chinese companies, the country is seeking new ways to gain leverage. A Nvidia spokesperson said the company is “happy to answer any questions regulators may have about our business.”
US takes a close look at TSMC and Huawei
The US Commerce Department is looking into whether Taiwan Semiconductor Manufacturing Company, the world’s largest contract chipmaker, is — knowingly or unknowingly — producing computer chips for the Chinese technology giant Huawei.
TSMC is one of the most strategically important companies to the United States because of its overwhelming market share in the chip fabrication process. Chip designers such as NVIDIA, AMD, and Apple send their chips to be made at TSMC facilities. But it’s also located, as its name suggests, in Taiwan — and that makes its relationship with China, which doesn’t acknowledge Taiwan’s independence, geopolitically significant.
The US investigation, recently reported by The Information, is eyeing whether TSMC is manufacturing Huawei chips — either those used to power smartphones or AI applications. Under the Biden administration, the US has strengthened export controls, preventing US companies — or those reliant on US parts — from selling chips and semiconductor manufacturing equipment to Chinese companies. While Huawei has the most advanced AI chips in China, they lag significantly behind US chipmakers Nvidia, AMD, and Intel because they don’t have unfettered access to important middlemen like TSMC and the Dutch photolithography company ASML — that is, unless the US finds a major breach or loophole.
Commerce Secretary Gina Raimondo recently said she’s under “no illusion” that her department is completely sealing off China – so she knows that US-made chips and equipment are making their way to China through underground markets and intermediaries. The New York Times reported that hundreds of thousands of banned chips have been sold in the Shenzhen electronics markets alone.
Xiaomeng Lu, director of Eurasia Group’s geo-technology practice, said that the TSMC investigation appears to look at whether the company is following export control rules. “This question is slightly different than whether Huawei got restricted chips from TSMC through illegal channels,” she said. “If Huawei is doing that, which is a more geopolitically significant development than potential TSMC misconduct – and TSMC proves they are following all US rules and regulations, Huawei should be the one receiving severe penalties. And I am almost certain they will.”
A violation by TSMC would be legally risky – and a massive business mistake given the company’s closeness with the US and other Western nations it relies on. But the experts who spoke with GZERO are skeptical this is the case.
Hanna Dohmen, a research analyst at Georgetown University's Center for Security and Emerging Technology, said TSMC would be foolish to knowingly allow sales to Huawei — even through an intermediary.
“Given TSMC’s position in the US-China technology competition, it would be surprising if TSMC is knowingly providing its services and exporting TSMC-fabricated chips to Huawei or any third-party affiliates,” she said. “Such a brazen violation of US export controls would put it squarely at risk of significant legal, political, and reputational consequences.”
TSMC is also set to receive $6.6 billion from the US government, she notes, to build advanced fabrication facilities in Phoenix, Arizona. “For such a significant amount of taxpayer money, it will be important for TSMC to demonstrate that it is doing everything it can to comply with US regulations to avoid political and reputational fallout with policymakers on the Hill, the administration, and the public.”
The US has not yet alleged any wrongdoing and has merely opened an inquiry, and it could be months before the probe is completed.
If wrongdoing is proven, TSMC would be on the hook for major financial penalties, just as Seagate was last year when it was fined $300 million by the Commerce Department for illicit sales to Huawei. Such a revelation would also call into question the balance of power between the US and China, their race for AI, and Taiwan’s role in the middle.A computer chip with the letters AI on top of it.
How China smuggles sought-after chips
The US has placed strict limits on the sale of powerful chips to China. But in the underground electronics market in Shenzhen, the southeastern port city, vendors reportedly claim to be moving hundreds or even thousands of banned chips. These include Nvidia’s A100 and H100 series chips, their most advanced models.
One vendor said he arranged a $103 million shipment to a nearby warehouse. “The Shenzhen market cannot be restricted,” he told the Times. That these middlemen are getting their hands on powerful chips is a serious threat to US economic and national security priorities, as the Biden administration is dead set on limiting Chinese access to any technologies that can fuel the government’s AI ambitions. Commerce Secretary Gina Raimondo said recently that she’s under “no illusions” that her department is executing their goals perfectly and told the Times she’s limited by budget constraints.
A Chinese military with artificial intelligence at its fingertips is a nightmare scenario for the US, and while its export controls have limited what China can make, it might never be able to fully plug leaks in the mechanism.A photo illustration of a smartphone displaying the NVIDIA Corporation stock price on the NASDAQ market, with an NVIDIA chip visible in the background.
A chip bottleneck
Margrethe Vestager, the European Union’s competition chief, has warned of a “huge bottleneck” involving Nvidia. The US semiconductor company plays a pivotal role in designing chips necessary for training and running artificial intelligence models and applications — good for 80% of the market. In recent months, Nvidia has become a $3.1 trillion company — now the third-most-valuable firm in the world behind only Microsoft and Apple.
It’s too much of a good thing: NVIDIA’s chips are so in demand that it can’t make enough for AI firms looking to train bigger and better models. EU regulators are starting to wonder whether that bottleneck raises concerns over fair competitive markets.
In Singapore, Vestager told Bloomberg that the EU’s watchdogs are asking preliminary questions of Nvidia but haven’t made up their mind about any further regulatory steps. Vestager said a robust secondary market could relieve competitive concerns, implying that as long as Nvidia respects smaller firms it should stay in antitrust regulators’ good graces. Meanwhile, AMD and Intel are looking to close the gap with Nvidia, something that intense regulatory scrutiny on the market leader might aid.
US Secretary of Commerce Gina Raimondo announces a major grant at the Samsung semiconductor plant in Taylor, Texas, on Monday, April 15, 2024.
Samsung hands Biden another chip win
The Biden administration is busy courting global semiconductor manufacturers to build stateside, recently handing billions to Taiwan Semiconductor Manufacturing Company to expand its chip fabrication plant in Phoenix, Arizona.
On Monday, Commerce Secretary Gina Raimondo announced that the Biden administration is giving out another award as part of its CHIPS Act budget — this time to TSMC competitor Samsung, the South Korean electronics giant. Samsung will receive $6.4 billion to put toward its new manufacturing hub in Taylor, Texas, and expand its existing plant in Austin. In return, Samsung will pour $45 billion into its US projects and commit to producing cutting-edge two-nanometer chips.
Biden has made so-called silicon nationalism a tenet of his economic and national security-focused public policy, desperate to control the slow but crucial supply of chips used for everyday technologies as well as new artificial intelligence applications.
The logo of OpenAI is seen displayed on a mobile phone screen with the Nvidia logo in the background.
The rise of AI giants (and their challengers)
Two winners have emerged from the AI boom’s first year, but others are in hot pursuit.
Within a few days of ChatGPT’s launch on Nov. 30, 2022, the chatbot attracted millions of users, proving that the world was ready for consumer-grade AI. This made OpenAI, the parent company, a clear victor on the software front. On the hardware front, NVIDIA grabbed the spotlight. The company’s graphics-processing chips have become the industry standard for fueling powerful AI models, making NVIDIA a trillion-dollar company this year.
Wannabe contenders, however, are trying to catch up.
Last week, Google launched Gemini, its much-anticipated new AI model, which it integrated into its Bard chatbot, boasting about “multimodal reasoning capabilities.” Google, already the industry leader in so many internet sectors — search, advertising, online video, and more — wants Gemini to challenge OpenAI’s large language model, GPT-4, on which ChatGPT is built.
Gemini, an umbrella for three models functioning at different levels, will also be added to Android mobile devices, the Google search engine, and Chrome. Google CEO Sundar Pichai told The New York Times that there’s room for more than one top AI company: “It’s so far from a zero-sum game.”
Meanwhile, US chipmaker AMD has NVIDIA in its crosshairs. Last week, AMD announced a new series of chips specifically for AI. The new chips, called MI300, are meant to rival NVIDIA’s H100 series. Microsoft plans to use the new AMD chips to power some of its Azure-branded cloud computing services, and Meta wants to use them for its data centers.
In these parallel races for AI domination, there’s only one sure winner: the United States. There are plenty of top tech companies competing for dominance of the buzziest industry of the moment, but so many of them — OpenAI, Google, NVIDIA, and AMD — are based in the US. As we chronicled last week, Washington stands to benefit in countless ways.Federal Chancellor Olaf Scholz on stage at the Digital Summit 2023 in November.
Wie sagt man: Not cheap as chips?
It committed $10 billion for Intel, which is building factories in Magdeburg; $5 billion in subsidies for a new fabrication plant built by Taiwanese giant TSMC along with Dutch company NXP, and German firms Bosch and Infineon. German Chancellor Olaf Scholz even noted in July how impressive it was that “so many German and international companies are choosing Germany for the expansion of their semiconductor production.”
But last month, a German court ruled that Scholz’s government violated its constitutional powers when he moved $65 billion in unused funds earmarked for the COVID-19 pandemic to the “climate and transformation” fund. The bad news for chipmakers? That was the money earmarked for their subsidies.
Germany wants to position itself as particularly friendly to industry, not only courting multinational tech corporations willing to build manufacturing plants, but also — in a recent shock move — by throwing a wrench in EU plans to heavily regulate large language models like OpenAI’s GPT-4.
Trouble is, to run the high-powered AI models, developers need high-powered chips – whatever the cost.