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10 AI Stocks Making Headlines This Week

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China is aggressively working to close the AI competitiveness gap with the United States. According to CEO of Chinese startup 01.AI Lee Kai-fu, the country is now as close as three months in some areas. This is because companies such as DeepSeek have figured out how to use chips and apply algorithms more efficiently.

Lee has told Reuters that startup DeepSeek has said that China has pulled ahead in areas such as infrastructure software engineering, severely challenging the US’s attempts to hold back China’s AI sector through its sanctions.

READ ALSO: 11 AI Stocks Shaking Up Wall Street Today and 9 Trending AI Stocks Making Headlines Today.

“Previously I think it was a six to nine month gap and behind in everything. And now I think that’s probably three months behind in some of the core technologies, but actually ahead in some specific areas.”

-Lee Kai-Fu

At the same time, a report by MIT Technology Review reveals how 80% of China’s newly built computing resources remain unused.

“The growing pain China’s AI industry is going through is largely a result of inexperienced players—corporations and local governments—jumping on the hype train, building facilities that aren’t optimal for today’s need.”

-Jimmy Goodrich, senior advisor for technology to the RAND Corporation.

That said, energy is being wasted, data centers have become “distressed assets,” but the country is doing all it can to stay ahead in the AI arms race.

While sanctions from the US had been successful in curbing China’s progress toward AI, they were only successful in the short term. The country has now learned to operate under constraints, developing its own algorithms and open-sourcing technologies to reduce reliance on Western technology.

Some experts even assert that China’s open-sourcing strategy may become strong enough to challenge the West’s model of AI monetization.

“The fact that DeepSeek are able to figure out the chain of thought with a new way to do reinforcement learning is either catching up with the U.S., learning quickly, or maybe even more innovative now.”

-Lee

For this article, we selected AI stocks by going through news articles, stock analysis, and press releases. These stocks are also popular among hedge funds. The hedge fund data is as of Q4 2024.

Why are we interested in the stocks that hedge funds pile into? The reason is simple: our research has shown that we can outperform the market by imitating the top stock picks of the best hedge funds. Our quarterly newsletter’s strategy selects 14 small-cap and large-cap stocks every quarter and has returned 373.4% since May 2014, beating its benchmark by 218 percentage points  (see more details here).

A man in black suit holding a tablet looks at stock market data on a monitor. Photo by Tima Miroshnichenko on Pexels

10. Pony AI Inc. (NASDAQ:PONY)

Number of Hedge Fund Holders: 20

Pony AI Inc. (NASDAQ:PONY) specializes in autonomous mobility, offering AI-driven robotruck and robotaxi services, intelligent driving software, and vehicle integration solutions. On March 26, Analyst Ming-Hsun Lee of Bank of America Securities reiterated a Buy rating on the stock with a price target of $17.70. Despite facing hurdles such as declining revenues and increased R&D expenses, the firm is optimistic about Pony AI based on its growth potential.

In particular, the analysts believe that the company is poised for significant expansion in its Robotaxi fleet, which is anticipated to drive significant growth in service sales. In addition, the launch of Pony AI’s 7th-generation autonomous driving system is expected to enhance profitability, while partnerships with major auto manufacturers to develop new Robotaxi models will further enhance growth. All in all, Pony AI’s strategic initiatives, as well as its proprietary Virtual Driver technology, underpin the Buy rating.

9. Palantir Technologies Inc. (NASDAQ:PLTR)

Number of Hedge Fund Holders: 63

Palantir Technologies Inc. (NASDAQ:PLTR) is a leading provider of artificial intelligence systems. On March 25, the company announced a strategic partnership with Everfox, a leader in cross-domain technology solutions. The partnership will provide enhanced cross-domain solutions for seamless connectivity and secure data sharing, where customers can improve joint command and control capabilities in classified network environments.

The partnership, tested and deployed already with existing customers, will now be extending to additional clients with complex network and operational environment needs.  Everfox will apply cross-domain solutions to Palantir’s AI capabilities so that warfighters can rapidly process, decide, and react to real-time intelligence streamed from multiple sensors, platforms, and networks. It will also leverage Palantir’s Mission Manager along with its cross-domain solutions so that customers can maneuver different software across complex classified networks.

“We’re proud to partner with Everfox to enhance the warfighter mission. Our combined efforts will provide our customers with transformative operational efficiency, ensuring they remain at the forefront of technological advancements in defense.”

-Akash Jain, President of Palantir USG.

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The $250 Trillion AI Hype is Real. A few years from now, you’ll probably wish you’d bought this stock.

When Jeff Bezos said that one breakthrough technology would shape Amazon’s destiny, even Wall Street’s biggest analysts were caught off guard.

Fast forward a year and Amazon’s new CEO Andy Jassy described generative AI as a “once-in-a-lifetime” technology that is already being used across Amazon to reinvent customer experiences.

At the 8th Future Investment Initiative conference, Elon Musk predicted that by 2040 there would be at least 10 billion humanoid robots, with each priced between $20,000 and $25,000.

Do the math. According to Musk, this technology could be worth $250 trillion by 2040.

Put another way, that’s roughly equal to:

  • 175 Teslas
  • 107 Amazons
  • 140 Metas
  • 84 Googles
  • 65 Microsofts
  • And 55 Nvidias

And here’s the wild part — this $250 trillion wave isn’t tied to one company, but to an entire ecosystem of AI innovators set to reshape the global economy.

It’s a leap so massive, it could reshape how businesses, governments, and consumers operate worldwide.

Even if that $250 trillion figure sounds ambitious, major firms like PwC and McKinsey still see AI unlocking multi-trillion-dollar potential.

How could anything be worth that much?

The answer lies in a breakthrough so powerful it’s redefining how humanity works, learns, and creates.

And this breakthrough has already set off a frenzy among hedge funds and Wall Street’s top investors.

What most investors don’t realize is that one under-owned company holds the key to this $250 trillion revolution.

In fact, Verge argues this company’s supercheap AI technology should concern rivals.

Before I reveal the details, let’s talk about how some of the richest people on the planet are positioning themselves.

  • Bill Gates sees artificial intelligence as the “biggest technological advance in my lifetime,” more transformative than the internet or personal computer, capable of improving healthcare, education, and addressing climate change.
  • Larry Ellison — through Oracle, is spending billions on Nvidia chips and partnering with Cohere to embed generative AI across Oracle’s cloud and apps.
  • Warren Buffett — not known for tech hype — says this breakthrough could have a ‘hugely beneficial social impact.

When billionaires from Silicon Valley to Wall Street line up behind the same idea — you know it’s worth paying attention to.

Even as we admire what Tesla, Nvidia, Alphabet, and Microsoft have built, we believe an even greater opportunity lies elsewhere…

But the real story isn’t Nvidia — it’s a much smaller company quietly improving the critical technology that makes this entire revolution possible.

And judging by what I’m hearing from both Silicon Valley insiders and Wall Street veterans…

This prediction might not be bold at all:

A few years from now, you’ll wish you’d owned this stock.

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