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People learn about Baidu’s artificial intelligence chatbot service Ernie Bot during the 2nd Global Digital Trade Expo at Hangzhou International Expo Center on November 23, 2023 in Hangzhou, Zhejiang Province of China. 

China News Service | China News Service | Getty Images

Nvidia’s rocket-ship ride in the stock market underscores the extent to which chip quality and availability will dictate the winners in the generative AI era. But there’s another aspect to measuring early leads in the space. In China, which is angling to produce its own chips or get more from Nvidia, no dominant gen AI contender to OpenAI has emerged yet among dozens of Chinese tech titans and startups.    

Late to the game, China is seeking to catch the lead of OpenAI in a wider U.S. AI market shaped by tech titans Microsoft, Alphabet’s Google and Amazon, and well-financed startups including Anthropic, which this week received a $2.7 billion infusion of cash from Amazon.

In the fast-moving field, the gap between the U.S. and its tech rival China is seen as wide. “The leading Chinese companies are benchmarking against ChatGPT, which indicates how far behind they are,” said Paul Triolo, senior vice president for China and technology policy lead at Dentons Global Advisors in Washington, D.C.

“Not too many companies can support their own large language model. It takes a lot of capital. Silicon Valley is definitely well ahead of the game,” said Jenny Xiao, a partner at AI VC firm Leonis Capital in San Francisco.

The U.S. remains the biggest investment market. Last year, funding of gen AI upstarts accounted for nearly half of $42.5 billion invested globally in artificial intelligence companies, according to CB Insights. In the U.S., VCs and corporate investors drove AI investment to $31 billion across 1,151 deals, led by large outlays in OpenAI, Anthropic and Inflection. This compares with $2 billion in 68 deals in China, which marked a large drop from 2022’s $5.5 billion in 377 deals. The fall-off is partly attributable to restrictions on of U.S. venture investment into China.

“China is at a big disadvantage in building the foundation models for Gen AI,” said Rui Ma, an AI investor and co-founder of investment syndicate and podcast TechBuzz China.  

But where China lags in foundational models, which are dominated by OpenAI and Google’s Gemini, it’s closing the gap by using Meta’s open source, large language model Llama 1, and Triolo said the Chinese contenders, if behind, are improving on the U.S. model.

“Many of the China models are effectively forks of Llama, and the consensus is that these forks are one to two years behind the leading U.S companies OpenAI and its video-to-text model Sora,” Ma said.

China does have the tech talent to make a difference in the AI rivalry in the years ahead.

A new study by think tank Marco Polo, run by the Paulson Institute, shows that the U.S. is home to 60% of top AI institutions, and the U.S. remains by far the leading destination for elite AI talent at 57% of the total, compared with China at 12%. But the research finds that China leads the U.S. by a few other measures, including being ahead of the U.S. in producing top-tier AI researchers, based on undergraduate degrees, with China at 47% and the U.S. lagging with 18%. Additionally, among top-tier AI researchers working at U.S. institutions, 38% have China as their country of origin, compared with 37% from the U.S.

New Chinese gen AI market entries can also reach mass adoption quickly. Baidu’s ChatGPT competitor, Ernie Bot, released in August 2023, reached 100 million users by the end of the year. Samsung is planning to integrate Baidu’s Ernie AI into its new Galaxy S smartphones while in another high-profile development that speaks to U.S.-China relations, Apple is in talks with Baidu about supplying the iPhone 16 with the Chinese company’s gen AI technology. 

Within its current slate of AI contenders, Baidu’s Ernie Bot models are considered among the most advanced, according to Leong.

Apple reportedly in talks with Baidu on AI for devices

Several other Chinese companies are forging ahead, funded by major players in its own technology market. Large cloud companies such as such as Baidu and Alibaba, social media players ByteDance and Tencent, and tech companies SenseTime, iFlyTek, Megvii and Horizon Robotics, as well as research institutes, are all aiding the effort. 

Moonshot AI, funded by China’s e-commerce giant Alibaba and VC firm Hongshan (previously Sequoia China), is building large language models that can handle long content inputs. Meanwhile, former Google China president Kai-Fu Lee has developed an open source gen AI model, 01.AI, funded by Alibaba and his firm Sinovation Ventures.   

While China has accelerated development of its homegrown chip industry and advanced AI, its AI development has been limited in part by U.S. restrictions on exporting high-end AI chips, a market cornered by Nvidia, as part of a new battleground for tech supremacy between the U.S. and China

“Despite efforts to develop indigenous solutions, Chinese AI developers still largely rely on foreign hardware, particularly from U.S. companies, which is a vulnerability in the current geopolitical climate,” said Bernard Leong, founder and CEO of tech advisory Analyse Asia in Singapore.    

The ongoing tensions between the U.S. and China over technology innovation and national security issues is leading to a split in gen AI development, following the pattern of other impactful technologies caught up in superpower tech arms races. Given regulations and bans over sensitive, cutting-edge technologies, the likely outcome is two parallel ecosystems for gen AI, one in the U.S. and one in China. ChatGPT is blocked in China while Baidu’s Ernie Bot can only be accessed in the U.S. with a mainland Chinese cell phone number. “U.S. companies can’t go into China and Chinese companies can’t go into the U.S.,” Xiao said.  

U.S. Secretary of Commerce Gina Raimondo has stated that a goal of U.S. curbs on AI chip exports is to prevent China from acquiring or producing advanced chips. As mainland China focuses on homegrown capabilities, Chinese companies SMIC or Huawei could be an alternative to Nvidia. But the future for alternates is likely uncertain if export controls cut off these companies from the most advanced designs for manufacturing. Triolo noted that Huawei recently developed a series of AI chips as a rival to Nvidia.  

China is getting ahead in applying AI to certain categories, such as computer vision. “The chip shortage is very important for training foundational models where you need certain chips, but for applications, you don’t need that,” Ma said.

The “real killer app” for gen AI, according to Triolo, will be in companies that are willing to pay money to harness the technology as part of their business operations. Alibaba is focusing on integrating AI into its e-commerce ecosystem. Huawei, while competing more successfully against Apple’s iPhone in the consumer market in the past year, also has broader ambitions, developing AI for specific industries including mining, using its in-house hardware, Leong said.

Boston Consulting Group research suggests it may be a while before this wider gen AI market ramps outside of tech. Sixty percent of 1,400 executives surveyed are waiting to see how gen AI regulations develop, while only 6 percent of companies have trained their employees on gen AI tools.

AI and tech issues are front and center for China’s leadership, with the country’s release of guardrails on AI in 2023 after ChatGPT’s breakthrough, and then modifications of some measures.

The open source gen AI technology many Chinese developers use can encourage collaboration among globally and lead to shared insights as AI advances, but Leong said open source also leads to issues related to ensuring quality and security of the models, as well as managing bias and potential misuse of AI.

“China wants to make sure content is not spewing out. They also want their companies to lead and are willing to reign in draconian measures,” Triolo said.

Ethical and social concerns hinder gen AI advances in China as well as other regions, including the U.S., as see in the battle for control over OpenAI’s mission. Within China, there is another factor that could slow AI acceleration, according to Leong: maintaining control of gen AI applications, especially in areas sensitive to state interests.

Ben Horowitz: We have to make sure AI regulation doesn't slow down the tech industry

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Amazon to spend up to $50 billion on AI infrastructure for U.S. government

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Amazon to spend up to  billion on AI infrastructure for U.S. government

An aerial view of an Amazon Web Services Data Center known as US East 1 in Ashburn, Virginia, U.S., October 20, 2025.

Jonathan Ernst | Reuters

Amazon said Monday it will invest as much as $50 billion to expand its capacity to provide artificial intelligence and high-performance computing capabilities for its cloud unit’s U.S. government customers.

The project is slated to break ground in 2026 and will add nearly 1.3 gigawatts of capacity through new data centers designed for federal agencies, the company said in a blog.

As part of the investment, agencies will have access to Amazon Web Services’ AI tools, Anthropic‘s Claude family of models and Nvidia chips as well as Amazon’s custom Trainium AI chips.

The move follows similar announcements from Anthropic and Meta to expand AI data centers in the U.S. Oracle, OpenAI and SoftBank announced their Stargate joint venture in January, which aims to invest up to $500 billion in AI infrastructure in the U.S. over the next four years.

AWS said the project will enable agencies to develop custom AI solutions, optimize datasets and “enhance workforce productivity.” AWS serves more than 11,000 government agencies, Amazon said Monday.

“This investment removes the technology barriers that have held government back and further positions America to lead in the AI era,” AWS CEO Matt Garman said in a statement.

Tech companies have earmarked billions of dollars in a race to build out enough capacity to power AI services. Amazon in October boosted its forecast for capital expenditures this year, saying it now expects to spend $125 billion in 2025, up from an earlier estimate of $118 billion.

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Breaking down AI chips, from Nvidia GPUs to ASICs by Google and Amazon

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Here’s what’s in the RAISE Act, a state-level AI bill opposed by Trump and industry leaders

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Here's what's in the RAISE Act, a state-level AI bill opposed by Trump and industry leaders

NY Assemblyman Alex Bores: The AI super PAC doesn't want there to be any regulation whatsoever

New York is 3,000 miles away from the tech hub of Silicon Valley, but in recent weeks, the state has inserted itself into the center of a fierce debate around artificial intelligence regulation. 

A bipartisan super PAC called “Leading the Future” announced last week that it will target Alex Bores, a Democratic congressional candidate who has openly championed AI safety legislation in New York by promoting the the Responsible AI Safety and Education (RAISE) Act. The bill would require large AI companies to publish safety and risk protocols and disclose serious safety incidents.

“They don’t want there to be any regulation whatsoever,” Bores told CNBC’s “Squawk Box” on Monday. “What they’re saying is the fact that you dared step up and push back on us at all means we need to bury you with millions and millions of dollars.” 

Leading the Future (LTF) launched in August with more than $100 million in funding, and aims to elevate “candidates who support a bold, forward-looking approach to AI,” according to a release. The group largely represents the view of the Trump administration, that federal AI laws should preempt regulations implemented by specific states, an effort mostly meant to undermine big blue states like California and New York.

The super PAC is backed by high-profile names in tech, including OpenAI President Greg Brockman, Palantir co-founder Joe Lonsdale, venture firm Andreessen Horowitz and AI startup Perplexity. 

“LTF and its affiliated organizations will oppose policies that stifle innovation, enable China to gain global AI superiority, or make it harder to bring AI’s benefits into the world, and those who support that agenda,” the group said in the release. 

Bores has served as a New York State Assembly member since 2023, and previously worked at several tech companies, including Palantir. He launched his congressional campaign for New York’s 12th district in October after sitting Democratic Rep. Jerry Nadler announced he would not run for reelection.

As an assemblyman, Bores co-sponsored the RAISE Act.

“I’m very bullish on the power of AI, I take the tech companies seriously for what they think this could do in the future,” Bores said on Monday. “But the same pathways that will allow it to potentially cure diseases [will] allow it to, say, build a bio weapon. And so you just want to be managing the risk of that potential.”

Assembly member Alex Bores speaks during a press conference on the Climate Change Superfund Act at Pier 17 on May 26, 2023 in New York City.

Michael M. Santiago | Getty Images

The RAISE Act passed in New York’s state assembly and senate in June. Democratic Gov. Kathy Hochul has until the start of the 2026 session to decide whether to sign it into law. 

On Nov. 17, LTF’s leaders Zac Moffatt and Josh Vlasto announced they plan to spend millions of dollars to try to sink Bores’ congressional bid. In a statement, they accused Bores of pushing “ideological and politically motivated legislation” that would “handcuff” the U.S. and its ability to lead in AI. 

The bill is “a clear example of the patchwork, uninformed, and bureaucratic state laws that would slow American progress and open the door for China to win the global race for AI leadership,” Moffatt and Vlasto told CNBC in a statement.

Moffatt has more than two decades of experience in digital and political strategy, while Vlasto previously served as press secretary to Sen. Chuck Schumer (D-NY) and chief of staff to former New York Governor Andrew Cuomo.

Politico was first to report LTF’s effort to target Bores.

Bores has capitalized on LTF’s announcement as a fundraising opportunity, urging voters to donate to his campaign if they “don’t want Trump mega-donors writing all tech policy,” he wrote in a post on X. 

“I am someone with a master’s in computer science, two patents, and nearly a decade working in tech,” Bores told CNBC in a statement last week. “If they are scared of people who understand their business regulating their business, they are telling on themselves.”

What is the RAISE Act?

The RAISE Act applies to any large AI company, like Google, Meta or OpenAI, that has spent more than $100 million in computational resources to train advanced models. 

It would require these companies to write, publish and follow safety and security protocols, and to update them as necessary. Violators could be subject to penalties of up to $30 million. 

The companies would also have to take steps to implement safeguards to prevent their models from engaging in “critical harm,” like assisting in the creation of chemical weapons or large-scale, automated criminal activities. “Critical harm” is defined in the bill as the death or serious injury of 100 people or at least $1 billion in damages. 

Under the RAISE Act, large AI companies would not be able to release models that would create “unreasonable risk of critical harm.” Bores said the bill’s opponents have pushed back fiercely on that part of the legislation. 

“That’s designed to basically avoid the problem we had with the tobacco companies, where they knew that cigarettes caused cancer but denied it publicly and continued to release their products,” he said.

The RAISE Act would also require AI companies to disclose notable safety incidents. If a model is stolen by a malicious actor, for instance, its developer would have to disclose that incident within 72 hours of learning about it. 

“We just saw two weeks ago, Anthropic talk about how China used their model to do a cyber attack on U.S. government institutions and our chemical manufacturing plants,” Bores said. “Shockingly, they didn’t have to disclose that. I think that should be law and be required for every major AI developer.”

Anthropic, an AI startup valued at around $350 billion after recent investments, published a blog post earlier this month detailing what it called “the first documented case of a large-scale cyberattack executed without substantial human intervention.” Anthropic said it believes the threat actor was a Chinese state-sponsored group.

Bores told Tech Brew that he drafted the initial version of the bill in August of 2024 and sent it to “all of the major developers” for feedback. He put together a second draft in December, and solicited another round of red lines. 

The RAISE Act was published in March, and amended in May and June. 

“I worked really closely with a lot of people in industry to get the details right,” Bores told Tech Brew.

U.S. President Donald Trump arrives on the South Lawn of the White House on November 22, 2025 in Washington, DC.

John Mcdonnell | Getty Images

LTF’s decision to target Bores over the RAISE Act is emblematic of a broader debate around whether AI should be regulated at the state or federal level in the U.S. 

Some lawmakers and tech executives have argued that a “patchwork” of state AI policies will hinder innovation and put the U.S. at risk of falling behind its adversaries like China. But others, including Bores, have said that the federal government moves too slowly to keep up with the rapid pace of AI development.

“What’s being debated right now is, should we stop the states from making any progress before the feds have solved the problem? Or should we actually work together to have the federal government solve the problem?” Bores said. 

Aside from New York, states including California, Colorado, Illinois and others have their own AI laws that are either already in effect or will be starting early next year. 

Last week, President Donald Trump advocated for a federal AI standard in a post on his social media site Truth Social. 

“Investment in AI is helping to make the U.S. Economy the ‘HOTTEST’ in the World, but overregulation by the States is threatening to undermine this Major Growth ‘Engine,'” Trump wrote. “We MUST have one Federal Standard instead of a patchwork of 50 State Regulatory Regimes. If we don’t, then China will easily catch us in the AI race.”

The White House also began drafting an executive order that would target state AI laws by ​​launching legal challenges and withholding federal funding, CNBC reported on Thursday. But a day later, the Trump administration put a hold on that effort, according to a report from Reuters.

The White House didn’t provide a comment for this story. 

Earlier this year, a proposed amendment to Trump’s “One Big Beautiful Bill Act” would have enacted a 10-year-long suspension on state-level AI laws. That provision ultimately failed and was not included in the legislation, but the Trump administration recently revitalized the effort. 

The White House is working to see if a moratorium on certain state AI laws could be included in one of the major must-pass bills that Congress is pursuing.

“What we’re seeing in AI is natural, states are stepping up and moving quickly,” Bores said. “We should eventually have a federal AI standard. I strongly agree with that.”

WATCH: AI industry-backed super PAC picks first target

AI industry-backed super PAC picks first target

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Amazon starts letting businesses test rebranded Leo satellite service as it plays catch-up to Musk’s Starlink

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Amazon starts letting businesses test rebranded Leo satellite service as it plays catch-up to Musk's Starlink

A United Launch Alliance Atlas V rocket is shown on its launch pad carrying Amazon’s Project Kuiper internet network satellites as the vehicle is prepared for launch at the Cape Canaveral Space Force Station in Cape Canaveral, Florida, U.S., April 28, 2025.

Joe Skipper | Reuters

Amazon said Monday it will begin allowing businesses to test its recently rebranded internet-from-space service that seeks to compete with SpaceX’s Starlink.

Select businesses will be able to test Amazon Leo production hardware and software as part of an “enterprise preview” of the service “ahead of a wider rollout,” the company said in a blog post. The test program will allow Amazon to collect feedback and “tailor solutions for specific industries” ahead of a broader launch, the company said.

Earlier this month, Amazon renamed its satellite internet offering from Project Kuiper to Amazon Leo and rolled out a new website to market the service. The name is a nod to low Earth orbit, a region of space that’s within 1,200 miles of Earth’s surface and where Amazon’s satellite constellation will be concentrated.

Six years ago, Amazon unveiled its plans to build a constellation of 3,236 low Earth satellites, designed to provide high-speed, low-latency internet to consumers, corporations and governments, offering connections through square-shaped terminals

The company has sent up more than 150 satellites since April through a series of rocket launches handled by partners, such as United Launch Alliance and Elon Musk’s SpaceX.

It’s aiming to compete with Starlink, owned by SpaceX, which currently dominates the market and has nearly 9,000 satellites in orbit.

Amazon has inked deals with JetBlue, L3Harris and Australia’s NBN internet network, among others. Amazon said it’s shipping units of its “Pro” terminals, as well as its “Ultra” antennas, to members of its enterprise preview program.

The company on Monday showed off the final production design of its Ultra model, which will offer download speeds of up to 1 gigabit per second and upload speeds up to 400 megabits per second powered by an in-house custom silicon chip, “making it the fastest commercial phased array antenna in production.”

Amazon said it expects to expand the program to more customers as it adds coverage and capacity to the Leo network.  

The company has yet to disclose pricing and availability for consumers.

WATCH: Amazon launches first Kuiper internet satellites into space

Amazon launches first Kuiper internet satellites into space

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