logo
Nvidia's research boss claims the company's Chinese AI researchers are now writing programs for Huawei instead and is blaming the US chip exports

Nvidia's research boss claims the company's Chinese AI researchers are now writing programs for Huawei instead and is blaming the US chip exports

Yahooa day ago

When you buy through links on our articles, Future and its syndication partners may earn a commission.
Nvidia's been banging the drum against the United State's China chip export restrictions for a while now, but while it had previously highlighted this in broad terms, the company now seems to be getting more direct with its claims. According to a machine translation of a report from Taiwan Economic Daily (via Wccftech), Nvidia's chief scientist and senior VP of research, Bill Dally, claims that Huawei is scooping up ex-Nvidia AI researchers as a result of the restrictions.
According to Dally, admittedly via a machine translation, the growth in the number of AI researchers working in China—apparently growing from a third of the world's researchers in 2019 to almost half of them today—has been forced by the US export restrictions. The idea is that without these restrictions, Huawei wouldn't be forced to lean so strongly into home-grown AI solutions, but now it must do so to keep up.
Nvidia is clearly keen on presenting this argument (probably in hopes that the US administration specifically will hear it) to show that there are arguable downsides of banning its exports to China for the US. It certainly appeals to the ears of those concerned about the US-China technological arms race.
As I said, though, the general argument isn't new—Nvidia has been touting it for a while. At Computex last month, Nvidia CEO Jensen Huang said: "AI researchers are still doing AI research in China" and "if they don't have enough Nvidia, they will use their own [chips]." And regarding Huawei specifically, Huang said the company has become "quite formidable".
There is, of course, another reason other than US national interest that might make Nvidia keen to highlight possible negatives of export controls. Namely, the fact that these restrictions have cost and will cost the company lots of money.
Nvidia itself has confirmed this, stating that after billions of dollars lost through restrictions of its H20 chips to China in Q1, it's expecting another $8 billion to be lost for the same reason in Q2. That's because Hopper, the company's previous chip architecture, "is no longer an option", according to the CEO.
Huawei's latest Ascend 910 and 920 chips, courtesy of China's SMIC (Semiconductor Manufacturing International Corporation), will probably now be better options for Chinese AI companies than trying to get hands on Nvidia silicon somehow.
And with ex-Nvidia researchers now apparently padding out the Chinese industry, who knows what will be cooked up next and when. Nvidia certainly seems to be presenting itself as worried about what's to come.
The company can't complain about the vaguely 'poachy' aspect of this, though, really—not when Nvidia seems to be enticing likely TSMC employees in Taiwan with high salary job advertisements. Sometimes business is just business, you know?
Best gaming PC: The top pre-built machines.Best gaming laptop: Great devices for mobile gaming.
Melden Sie sich an, um Ihr Portfolio aufzurufen.

Orange background

Try Our AI Features

Explore what Daily8 AI can do for you:

Comments

No comments yet...

Related Articles

Latin America: Underowned, Undervalued and Poorly Labeled
Latin America: Underowned, Undervalued and Poorly Labeled

Bloomberg

time34 minutes ago

  • Bloomberg

Latin America: Underowned, Undervalued and Poorly Labeled

If I told you there's a country with more than 1,000 robots for every 10,000 workers—and another with barely more than 100 per, which would you guess is classified as an emerging market? You'd likely be wrong. In 2023 it was the UK that had only 119 robots per 10,000 workers. South Korea meanwhile had 1,012. But for some reason, MSCI classifies the latter as an emerging market, just as it does Poland, Chile, Brazil, Taiwan, the UAE and China.

Nvidia Stock Won't Make Millionaires From Here, Unless AI Demand Goes Parabolic
Nvidia Stock Won't Make Millionaires From Here, Unless AI Demand Goes Parabolic

Business Insider

timean hour ago

  • Business Insider

Nvidia Stock Won't Make Millionaires From Here, Unless AI Demand Goes Parabolic

Nvidia (NVDA) stock is up 45% since April, now hovering around $140. That sounds like a win. But for retail investors hoping this will mint the next generation of millionaires, there's a catch: most of the good news is already priced in. Wall Street still loves Nvidia, but the higher it goes, the harder it becomes to justify buying more—unless something explosive happens in AI demand. Confident Investing Starts Here: Easily unpack a company's performance with TipRanks' new KPI Data for smart investment decisions Receive undervalued, market resilient stocks right to your inbox with TipRanks' Smart Value Newsletter Broadcom Earnings Prove the AI Pie Is Real — and Growing Broadcom (AVGO) just reported Q2 results, beating expectations and raising guidance. The key number? A projected 60% growth in AI revenue this Fiscal year. That's massive. And even though AVGO dipped slightly after earnings, the broader message was bullish for the whole chip sector: AI demand isn't slowing. This supports Nvidia's entire bull case. Nvidia sells the chips that train and deploy AI models. If cloud giants like Amazon (AMZN), Microsoft (MSFT), and Alphabet (GOOGL) are still pouring billions into AI infrastructure, Nvidia will remain the backbone of that effort. Why AI Growth Needs to Go Exponential to Justify Nvidia's Price Here's the hard truth: even a great company can become a bad investment at the wrong price. Nvidia's market cap now reflects a future where AI continues to expand indefinitely. That means AI must expand into new industries like healthcare, robotics, and manufacturing. Edge computing needs to explode. AI hardware refresh cycles need to shorten. Governments and enterprises need to ramp up AI R&D. If these things don't accelerate at scale, Nvidia risks running ahead of its fundamentals. That's why the stock may not create millionaires from here—unless we get another generational leap in spending. Valuation Is Now the Enemy of Asymmetry Back in 2022 and even 2023, Nvidia was still misunderstood. You could buy shares and realistically expect a 2x or 3x return. Today? That asymmetry is gone. With a forward P/E near 50 and trillions in market cap, the company needs to beat high expectations every quarter just to tread water. This makes it hard for small investors to win big. You're not catching a rocket ship at liftoff. You're hopping on after it's halfway to orbit. Sure, it might keep climbing. But the risk/reward has fundamentally changed. A Macro Setup That's Starting to Tighten Nvidia's growth narrative also faces macro threats. U.S.-China chip tensions limit sales of high-end GPUs abroad. A strong dollar may weigh on foreign demand. Rates remain high, tightening funding for startups and AI moonshots. And then there's the bond market. If Treasury yields spike again, tech multiples could compress. Nvidia is particularly sensitive to these macro ripples, which could pull the stock down even if earnings stay solid. Great Businesses Don't Guarantee Great Returns Investors need to ask: Is Nvidia the next Apple or the next Cisco? Apple rode the smartphone wave for over a decade, compounding steadily. Cisco, during the dot-com boom, also led a tech revolution. But anyone who bought Cisco at the peak in 2000 had to wait nearly 20 years to break even. The question isn't just 'how good is Nvidia?' It's 'how much of that greatness is already priced in?' Nvidia Is a Winner, But That Doesn't Make You One Nvidia's fundamentals are strong. Its technology is best-in-class. And AI isn't a fad. But the dream of getting rich from here may be just that—a dream. Unless AI spending enters a new phase of hyper-acceleration, Nvidia may deliver solid, steady gains—not life-changing ones. And that's a distinction every long-term investor needs to understand before chasing another breakout. Is Nvidia a Buy, Sell, or Hold? TipRanks shows a Strong Buy consensus on NVDA, based on 35 Buys, four Holds, and one Sell rating. The average NVDA target price is $172.36. That implies a 23% upside, but in this kind of rally, forward gains don't come easy. You need acceleration—not just growth, but growth of the growth.

DOWNLOAD THE APP

Get Started Now: Download the App

Ready to dive into the world of global news and events? Download our app today from your preferred app store and start exploring.
app-storeplay-store