Meta Platforms Keeps On Upping the AI Ante. Here’s What Investors Should Know.


Key Points

  • Meta Platforms continues to invest heavily into AI talent and technology.

  • The company’s AI monetization potential extends beyond digital advertising.

  • Success in areas like AI software and hardware could move the needle for Meta stock.

  • 10 stocks we like better than Meta Platforms ›

Briefly last month, it seemed like Meta Platforms (NASDAQ: META) was starting to “play it safe” with its big wager on generative AI. On Aug. 20, the Wall Street Journal reported that the Facebook parent was putting a freeze on its AI recruitment spree.

However, within a day, Alexandr Wang, Meta’s chief AI officer, dispelled this report, stating, “We are truly only investing more and more into Meta Superintelligence Labs as a company,” adding, “Any reporting to the contrary of that is clearly mistaken.”

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Since then, additional developments have underscored that Meta intends to keep on increasing its AI bet. To many investors, this may sound like cause for caution, given the recent rise in concern about a possible “AI bubble.” However, considering all factors, there may still be good reason to be bullish on Meta stock long term.

Image source: Getty Images.

Meta Platforms is paying top dollar for AI talent and technology

In its AI investment efforts, Meta Platforms hasn’t been afraid to whip out its checkbook. So far this year, the tech giant has been aggressively hiring the top talent in artificial intelligence research, offering individuals as much as $1 billion in total compensation.

The billions that Meta has spent locking down top AI talent pale in comparison to the hundreds of billions being committed toward the build-out of Meta’s AI infrastructure, namely the construction of large data centers.

In the weeks since Wang’s AI freeze rebuttal, further headlines signal that Meta has yet to retreat from the AI talent and technology arms race. On Aug. 26, President Trump spilled the beans on Meta’s plans to build a $50 billion data center in Louisiana.

Just this week, Bloomberg reported that Jian Zhang, formerly Apple‘s AI robotics chief, has left Apple for a new role at Meta Robotics Studio. Apple has garnered the reputation of being behind in AI, but hiring this experienced robotics executive could prove key in helping Meta gain ground in areas like AI hardware.

Meta’s AI potential could go beyond its main business

Meta Platforms’ continued heavy investment in AI comes just as OpenAI founder Sam Altman says the AI market is in a bubble, and as a recent study conducted by MIT suggests that 95% of organizations investing in AI projects have resulted in a zero return on investment.

Meta appears to be shaking off these “AI bubble” concerns. I’m starting to take a similar stance, at least in the case of this top AI contender. Mostly, because it’s clear that Meta Platforms’ AI strategy goes beyond using this technology to strengthen its core business: digital advertising. The Facebook and Instagram parent plans to fully automate advertising on its social media platforms by late 2026.

It’s unclear whether reaching full automation will marginally or materially enhance Meta’s revenue and earnings, as these have already been boosted from prior rounds of AI implementation. This may explain why analysts expect an earnings slowdown for Meta next year. As of Sept. 4, estimates call for Meta’s EPS to grow from $23.86 to $28 per share, or by 17.3% in 2025, but by only 6.8% in 2026, from $28 to $29.91 per share.

However, what if AI potential goes beyond advertising and hardware? What if AI software could one day become a significant contributor to the bottom line?

AI software success could kick the stock back into high gear

Last month, Meta announced it had entered a licensing deal with AI image generation start-up Midjourney. This could be the prelude to Meta launching a service similar to OpenAI’s Sora. There hasn’t been much news lately about the company’s efforts to monetize its AI models, but the gradual pivot away from making its AI models open source suggests that’s still on the agenda.

The MIT study may cast doubt on AI’s real-life use case, but further advances in both generative AI technology and greater education could, in time, make AI a more useful tool for businesses. Hence, it still makes sense that Meta anticipates generating hundreds of billions, if not trillions, in revenue from AI by the 2030s, via revenue-sharing agreements, AI model subscriptions, and other sources outside of advertising.

Only time will tell, but if Meta eventually starts generating a larger portion of its overall revenue from AI software, not from advertising, this could convince the market to give its shares a substantial re-rating. Microsoft, another tech giant investing heavily in AI, currently trades for 36.5 times earnings, while Meta trades for just 26.7 times earnings.

In time, if AI software leads to higher-than-expected growth, this, coupled with a re-rating to the upside in terms of valuation, could produce substantial gains for Meta stock. This leaves me mulling over a purchase of this stock, as shares pull back from recent highs.

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Thomas Niel did not have any positions in the securities mentioned in this article. The Motley Fool has positions in and recommends Apple, Meta Platforms, and Microsoft. The Motley Fool recommends the following options: long January 2026 $395 calls on Microsoft and short January 2026 $405 calls on Microsoft. The Motley Fool has a disclosure policy.

The views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.



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