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STMicroelectronics N.V. (STM): Navigating Semiconductor Challenges with AI-Optimized Microcontrollers

We recently compiled a list of the Top 10 AI Stocks to Watch Ahead of Potential Market Correction. In this article, we are going to take a look at where STMicroelectronics N.V. (NYSE:STM) stands against the other AI stocks.

Has Artificial Intelligence Fuelled a Big Bubble in Tech?

That’s the big question, according to managing partner at Deepwater Asset management Gene Munster. The revolutionary technology has been the catalyst behind two years of blockbuster gains in the equity markets. With major market indices trading near all-time highs, overstretched valuations are increasingly sending jitters in the investment community.

Nothing has been more significant than the emergence of artificial intelligence (AI). Even though the stock market has been driven by various factors, such as Donald Trump’s victory in November, stock-split euphoria, dovish Fed policy, and better-than-expected earnings, AI has triggered eye-watering valuations. Nevertheless, a potential correction from current highs is on the horizon.

“I agree that Nvidia will have a day of reckoning — and the chip stocks, the whole trade. And the question for us isn’t, ‘Will the bubble burst?’ It’s, ‘How high will we go before the bursting of the bubble?’ Munster said.

While the overall market has pulled back significantly since peaking late last year, Munster insists there are another two years of solid gains before a potential bubble burst. According to the tech analyst, the bubble burst could result in a 30% decline in the tech-heavy index NASDAQ on the artificial intelligence hype running out.

Momentum in the equity market has subsided significantly in recent months, particularly among the big five tech stocks, and the market is signaling that the extraordinary growth and gains of 2024 will be difficult to replicate in 2025. Amid these growth concerns, investors should focus on AI plays trading at depressed valuations and companies backed by solid financials and long-term growth opportunities.

Analysts at Bank of America remain optimistic about the US software market outlook despite growth rates slowing down in recent months. While the sector grew by 59% in 2023, attributed to the AI frenzy, the growth rate slowed to 23% in 2024. However, given that multiples are still below expectations, there are still opportunities to unlock.

“Revenue multiples and growth expectations remain below 5-year median and pre-Covid levels,” the bank said in its Jan. 14 report, pointing to the potential of three secular themes for 2025: Agentic AI, growing enterprise IT budgets, and sustained cloud migration.

According to the bank, tech heavyweights spending heavily on AI and expanding on investments in 2025 is one factor that should fuel growth in the software sector. Likewise, the analysts expect sustained migration to the cloud to be a key driver of the software sector.

“Although we remain selective on small caps, we are bullish on the software sector for 2025, particularly in 2H, as accelerating secular tailwinds and easing cyclical headwinds converge,” the firm added.

Our Methodology

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.

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 275% since May 2014, beating its benchmark by 150 percentage points (see more details here).

A worker assembling the inner circuitry of a semiconductor product.

STMicroelectronics N.V. (NYSE:STM)

Number of Hedge Fund Holders: 18

STMicroelectronics N.V. (NYSE:STM) designs, develops, manufactures, and sells semiconductor products. It offers automotive integrated circuits (ICs), discrete and power transistor products and industrial application-specific integrated circuits (ASICs). On January 13, TD Cowen downgraded the stock to a Hold and cut the price target to $25 from $32. The cut came amid growing concerns about cyclical headwinds in the semiconductor industry.

Amid the cut, STMicroelectronics N.V. (NYSE:STM) has moved to strengthen its long-term prospect by unveiling the STM32N6 microcontroller for enhanced machine learning capabilities. The microcontroller is designed to deliver 600 times more machine-learning performance than current high-end STM32 MCUs, enabling advanced AI applications in consumer and industrial products. While the microcontroller has been available to select customers, it is now ready for high-volume production and use in consumer and industrial sectors.

Overall STM ranks 8th on our list of the AI stocks to watch ahead of potential market correction. While we acknowledge the potential of STM as an investment, our conviction lies in the belief that some AI stocks hold greater promise for delivering higher returns and doing so within a shorter timeframe. If you are looking for an AI stock that is more promising than STM but that trades at less than 5 times its earnings, check out our report about the cheapest AI stock.

READ NEXT: 20 Best AI Stocks To Buy Now and Complete List of 59 AI Companies Under $2 Billion in Market Cap.

Disclosure: None. This article was originally published at Insider Monkey.

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:

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