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Tencent and Baidu, two of China’s largest technology companies, revealed how they’re keeping in the global artificial intelligence race even as the U.S. tightens some curbs on key semiconductors.

The business’ methods include stockpiling chips, making AI models more efficient and even using homegrown semiconductors.

While the administration of U.S. President Donald Trump scrapped one controversial Biden-era chip rule, it still tightened exports of some semiconductors from companies including Nvidia and AMD in April.

Big names in the sector addressed the issue during their latest earnings conference calls.

Martin Lau, president of Tencent — the operator of China’s biggest messaging app WeChat — said his company has a “pretty strong stockpile” of chips that it has previously purchased. He was referring to graphics processing units (GPUs), a type of semiconductor that has become the gold standard for training huge AI models.

These models require powerful computing power supplied by GPUs to process high volumes of data.

But, Lau said, contrary to American companies’ belief that GPU clusters need to expand to create more advanced AI, Tencent is able to achieve good training results with a smaller group of such chips.

“That actually sort of helped us to look at our existing inventory of high-end chips and say, we should have enough high-end chips to continue our training of models for a few more generations going forward,” Lau said.

Regarding inferencing — the process of actually carrying out an AI task rather than just training — Lau said Tencent is using “software optimization” to improve efficiency, in order to deploy the same amount of GPUs to execute a particular function.

Lau added the company is also looking into using smaller models that don’t require such large computing power. Tencent also said it can make use of custom-designed chips and semiconductors currently available in China.

“I think there are a lot of ways [in] which we can fulfill the expanding and growing inference needs, and we just need to sort of keep exploring these venues and spend probably more time on the software side, rather than just brute force buying GPUs,” Lau said.

Baidu’s approach

Baidu, China’s biggest search company, touted what it calls its “full-stack” capabilities — the combination of its cloud computing infrastructure, AI models and the actual applications based on those models, such as its ERNIE chatbot.

“Even without access to the most advanced chips, our unique full stack AI capabilities enable us to build strong applications and deliver meaningful value,” Dou Shen, president of Baidu’s AI cloud business, said on the company’s earnings call this week.

Baidu also touted software optimization and the ability to bring down the cost of running its models, because it owns much of the technology in that stack. Baidu management also spoke about efficiencies that allow it to get more out of the GPUs it possesses.

“With foundation models driving up the need for a massive computing power, the abilities to build and manage large scale GPU clusters and to utilize GPUs effectively has become key competitive advantages,” Shen said.

The Baidu executive also touted the progress made by domestic Chinese technology firms in AI semiconductors, a move he said would help mitigate the impact of U.S. chip curbs.

“Domestically developed self-sufficient chips, along with [an] increasingly efficient home-grown software stack, will jointly form a strong foundation for long-term innovation in China’s AI ecosystem,” Shen said.

China domestic chip focus

China has been ramping up development of chips designed and manufactured on its home soil for the last few years. Most experts agree that Beijing remains overall behind the U.S. in the realm of GPUs and AI chips, but there have been some advances.

Gaurav Gupta, an analyst covering semiconductors at Gartner, said stockpiling is one way Chinese companies are dealing with export restrictions. Additionally, there has been some progress made in semiconductor technology in China, even if it remains behind the U.S., Gupta added.

“China has also been developing its own domestic semiconductor ecosystem, all the way from materials to equipment to chips and packaging. Different segments have made varying levels of progress, but China has been surprisingly extremely consistent and ambitious in this goal, and one must admit that they have achieved decent success,” Gupta told CNBC by email.

“This provides an avenue for them to procure AI chips, which perhaps can’t compete with those from the U.S chip leaders but continue to make progress.”

Many U.S. executives have urged Washington to scrap export restrictions in light of China’s progress. Nvidia CEO Jensen Huang called the curbs a “failure” this week, saying they are doing more damage to American businesses than to China.

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Waymo will update driverless fleet after San Francisco blackout to improve navigation during outages

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5 hours ago

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December 24, 2025

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Waymo will update driverless fleet after San Francisco blackout to improve navigation during outages

A Waymo car is halted on the road amid a power outage in San Francisco, California, U.S., December 20, 2025, in this screengrab obtained from a social media video.d

Reuters

Three days after a blackout in San Francisco caused Waymo to pause its driverless car service, the Alphabet-owned company said it’s updating its fleet so its vehicles are better prepared to respond during future outages.

“We’ve always focused on developing the Waymo Driver for the world as it is, including when infrastructure fails,” the company said in a blog post late Tuesday.

Power outages began early afternoon on Saturday in San Francisco and peaked roughly two hours later, affecting about 130,000 customers, according to Pacific Gas and Electric. As of Sunday morning, about 21,000 customers remained without power. PG&E said a fire at a substation resulted in “significant and extensive” damage.

With stoplights and traffic signals not functioning, the city was hit with widespread gridlock. Videos shared on social media appeared to show multiple Waymo vehicles stalled in traffic in various neighborhoods.

“We directed our fleet to pull over and park appropriately so we could return vehicles to our depots in waves,” Waymo said in Tuesday’s blog post. “This ensured we did not further add to the congestion or obstruct emergency vehicles during the peak of the recovery effort.”

San Francisco Mayor Daniel Lurie said in an update on X Saturday evening that police officers, fire crews, parking control officers and city ambassadors were deployed across affected neighborhoods.

Waymo said that it’s analyzing the event, and is taking three “immediate steps.”

The first involves “fleet-wide updates” to give vehicles “more context about regional outages,” so cars can take more decisive actions at intersections. The company said it’s also improving its “emergency response protocols,” and is coordinating with Mayor Lurie’s team in San Francisco to better collaborate in emergency preparedness. Finally, Waymo said it’s updating its first responder training “as we discover learnings from this and other widespread events.”

In addition to the Bay Area, Waymo currently serves paid rides to the public in and around Austin, Texas, Phoenix, Atlanta and Los Angeles. The company recently crossed an estimated 450,000 weekly paid rides, and said in December it had served 14 million trips in 2025, putting it on pace to end the year at more than 20 million trips total since launching in 2020.

“Backed by 100M+ miles of fully autonomous driving experience and a record of improving road safety, we are undaunted by the opportunity to challenge the status quo of our roads, and we’re proud to continue serving San Franciscan residents and visitors,” the company said in Tuesday’s blog.

— CNBC’s Lora Kolodny and Jennifer Elias contributed to this report.

WATCH: Waymo service resumes after errors cause issues in San Francisco

Waymo service resumes after errors cause issues in San Francisco

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Motive, an Alphabet-backed fleet management software company, files for IPO

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10 hours ago

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December 23, 2025

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Motive, an Alphabet-backed fleet management software company, files for IPO

Direxion signage at the New York Stock Exchange (NYSE) in New York, US, on Monday, Dec. 22, 2025. The holiday-shortened week started with gains in stocks amid a broad advance that saw a continuation of the bullish momentum on Wall Street.

Michael Nagle | Bloomberg | Getty Images

Motive, a company with software for managing corporate trucks and drivers, on Tuesday filed for an initial public offering on the New York Stock Exchange under the symbol “MTVE.”

The paperwork puts Motive among a fast-growing group of tech companies looking to go public in 2026. Anthropic, OpenAI and SpaceX have all reportedly considered making their shares widely available for trading next year.

Motive is smaller, reporting a $62.7 million net loss on $115.8 million in revenue in the third quarter. The loss widened from $41.3 million in the same quarter of 2024, while revenue grew about 23% year over year. The company had almost 100,000 clients at the end of September.

Ryan Johns, Obaid Khan and Shoaib Makani started Motive in 2013, originally under the name Keep Truckin. Makani, the CEO, is Khan’s brother-in-law.

Investors include Alphabet’s GV, Base10 Partners, Greenoaks, Index Ventures, Kleiner Perkins and Scale Venture Partners.

Motive’s AI Dashcam device for detecting unsafe driving “has prevented 170,000 collisions and saved 1,500 lives on our roads,” Makani wrote in a letter to investors. Most revenue comes from subscriptions, although Motive does sell replacement hardware and professional services.

The San Francisco company changed its name to Motive in 2022, and as of Sept. 30, it employed 4,508 people. Motive employs 400 full-time data annotators who apply labels that are meant to enhance artificial intelligence models.

Motive has ongoing patent-infringement litigation with competitor Samsara, which went public in 2021 and today has a $22 billion market capitalization.

WATCH: AI IPO boom next year? The changing 2026 IPO landscape

AI IPO boom next year? The changing 2026 IPO landscape

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Why an analyst sees Meta shares getting back to record highs – plus, another tariff reprieve

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12 hours ago

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December 23, 2025

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Why an analyst sees Meta shares getting back to record highs – plus, another tariff reprieve

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