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Nvidia’s CEO Jensen Huang warns of a ‘tremendous loss’ if U.S. firms lose access to China’s $50 billion AI market

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Washington’s chip controls are denying U.S. companies like Nvidia access to a huge and growing AI chip market in China, CEO Jensen Huang said Tuesday, weeks after the chipmaker admitted it’d take a $5.5 billion hit from blocked sales to the world’s second-largest economy.

“China is a very large market. It’s probably going to be a $50 billion market in the next couple or three years. It’ll be a tremendous loss not to address it as an American company,” Huang said in an interview with CNBC. He added that access to the Chinese AI market would create jobs in the U.S.

Huang has long spoken positively about China and its AI sector, calling it a “key market” for Nvidia in mid-April during a surprise visit to the country. He’s also warned that shutting out the country could hurt the interests of both the U.S. and Nvidia by encouraging “strategic competitors” like Huawei.

Nvidia recently revealed that it would take a $5.5 billion charge after the U.S. decided to bar the chipmaker from selling its H20 chip to China without a license. (Nvidia designed the H20 chip to comply with previous U.S. export controls).

On Tuesday, AMD revealed that it will also take a $1.5 billion hit to revenue from updated U.S. controls. Like Nvidia, AMD also makes graphics processing units (GPUs) that are key to powering AI applications. 

Washington first imposed broad export controls on China in October 2022, and has steadily closed loopholes in its sanctions regime in subsequent years. The rules go beyond Nvidia and AMD to also affect the manufacturers that produce the tools used to make chips. 

U.S. companies like Nvidia may want to keep access to the huge Chinese market, but they may also be worried about growing competition from local players like Huawei. Huang has previously warned that China is not far behind the U.S. in AI competition.

A report from the Center for Strategic and International Studies, a Washington D.C.-based think-tank, released in March said China had “narrowed” the AI gap with the U.S. and that it was unrealistic to expect a lead of more than two years.

China has spent years investing billions into its local semiconductor industry in an attempt to wean itself off of foreign-made chips and chipmaking equipment. Beijing is also encouraging companies to use domestically-made chips where possible. 

Over the weekend, the Financial Times reported that Huawei is building a production line for advanced chips, part of a broader effort to move the entire AI chip chain into China. Huawei is also reportedly gearing up to test its latest Ascend series chip, a competitor to Nvidia’s products.

This story was originally featured on Fortune.com



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The AI training gap: Business leaders expect their employees to use AI at work but they aren’t providing them with any guidance

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Good morning! 

It seems as if every business leader in the world is trying to figure out how to embrace AI to stay competitive in a rapidly-changing tech landscape. But when it comes to effectively incorporating the technology, their workforce expectations are not quite lining up with reality. 

Only 10% of C-suite leaders say that their companies are future-ready, according to new data from The Adecco Group, which surveyed 2,000 people, in a report shared exclusively with Fortune. That lack of readiness is likely the result of shoddy workforce training. While almost two-thirds of leaders expect employees to update their skills for AI, only one-third of companies are providing a clear policy on how employees should be using the technology. 

Caroline Basyn, chief digital and IT officer at The Adecco Group, thinks that the training gap can be partially attributed to “ignorance” on the part of executives. “Leaders need to grasp and understand that AI is going to transform the way we work,” she tells Fortune. “There are some industries that have understood it. There are some industries that have not yet understood the relationship between leveraging AI and the results they will achieve, both in terms of revenue and in terms of productivity.” 

She adds that simply using AI isn’t enough—businesses have to completely rethink their organization and workflow to best harness the power of the technology. “Investing in AI products is potentially only half the battle,” she says. “The whole leadership team, the culture and the learning structure, is as important as developing the product in [and of] itself.” 

The report recommends that leaders act to “create, share, and adhere to a responsible AI framework as a matter of urgency” and ensure that employees are well-versed in the policy specifics. Leaders should also consider “an AI ethics committee, company-wide training, and forum for workers to voice concerns.” 

Basyn says there’s no one-size-fits-all model when it comes to training workers how to use AI, and emphasizes that the training program used yesterday may not work tomorrow. But she says that the more personalized AI workforce training is, the better. 

“We need to make career mobility a reality. We need to make sure that we’re planning for the disruption, and empower the employees to build new skills,” she says. 

Sara Braun
Sara.Braun@fortune.com

This story was originally featured on Fortune.com



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A serial entrepreneur, a musician, and Walmart’s CEO walk into an AI factory…

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JPMorgan’s public blockchain move could set a new standard for institutional finance

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FORTUNE is a trademark of Fortune Media IP Limited, registered in the U.S. and other countries. FORTUNE may receive compensation for some links to products and services on this website. Offers may be subject to change without notice.



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