Jensen Huang doesn’t usually hand out compliments to companies he doesn’t have a stake in helping succeed. So when the Nvidia CEO said flatly that “nobody uses AI better than Meta” during a CNBC interview, the timing mattered as much as the words. The comment landed just as Meta’s stock was nursing a 7% decline, with investors growing anxious about the size of the company’s AI budget. For a story about Meta AI Nvidia dynamics, that contrast between Wall Street’s nerves and Huang’s confidence is exactly where the real news sits.
Summary
Key takeaways
- Nvidia CEO Jensen Huang said “nobody uses AI better than Meta” in a CNBC interview, backing the social media giant’s AI strategy.
- Meta shares had recently fallen 7% before rebounding nearly 1% in premarket trading after Huang’s remarks aired.
- Meta plans capital expenditures of $125 billion to $145 billion for 2026, almost entirely directed at AI infrastructure.
- Out of 64 analysts covering the stock, 57 rate Meta a “Buy” or higher, with price targets implying roughly 38% upside.
- Nvidia remains the dominant supplier of GPUs powering Meta’s AI systems, tying the chipmaker’s own fortunes to Meta’s success.
Nvidia CEO Jensen Huang Endorses Meta’s AI Strategy
Jensen Huang’s endorsement of Meta AI capabilities is less a casual aside and more a signal to a market that had started to doubt Meta’s spending discipline. His exact phrasing during the CNBC sit-down left little room for interpretation: nobody, in his view, is deploying artificial intelligence more effectively than Meta right now.
The remark didn’t come out of nowhere. It arrived while Meta’s shares were still absorbing a sharp 7% pullback, a slide tied directly to investor unease over how much the company is committing to AI infrastructure. Huang, whose own company profits enormously from that infrastructure buildout, chose that exact moment to publicly back Meta’s approach.
Meta’s AI Spending Plan and Technology Shift
Meta is preparing to spend between $125 billion and $145 billion in 2026, with almost all of that capital expenditure earmarked for AI infrastructure. That figure alone explains much of the market’s jitters — it’s an extraordinary sum for a single fiscal year, even for a company Meta’s size.
Huang’s case for Meta wasn’t built purely on the dollar amount, though. He pointed to something more structural: Meta has already completed the hard part of the transition, moving away from traditional CPU-based systems toward advanced generative AI technology. That shift isn’t theoretical. It shows up directly in products people use every day, including improved content recommendations across Instagram and Facebook, sharper ad targeting for marketers, and new AI-powered creative tools that let brands generate ad content on the fly.
Why the Capex Figure Matters
The breadth of that $125 billion to $145 billion range signals a company still calibrating exactly how aggressive it needs to be, but the direction of spending is unambiguous: it’s almost entirely AI infrastructure, not general corporate overhead or unrelated capital projects.
Wall Street’s Reaction and Analyst Outlook
Investors responded to Huang’s comments with cautious relief rather than euphoria. Meta shares experienced a gain of nearly 1% during premarket activity on the day following the interview’s broadcast — a limited move, but a notable one given how recently the stock had been sliding.
Analyst sentiment underlines that same cautious optimism. Of the 64 analysts covering Meta, 57 rate the stock a “Buy” or higher, and the average price target implies roughly 38% upside from where shares traded around the time of Huang’s remarks. That’s a striking vote of confidence for a stock that had just shed 7% of its value.
Risks Behind the Optimism
Still, the scale of Meta’s AI ambitions carries real risk. Spending $125 billion to $145 billion in a single year only looks visionary if the returns keep materializing. Should advertising revenue growth slow, or should the broader macroeconomic environment deteriorate, that same spending level could quickly be reframed from bold bet to costly overreach. This is one of the key “why this matters” points for anyone watching the Meta AI Nvidia relationship: the entire narrative depends on Meta continuing to convert AI spending into measurable business results, not just promises.
Nvidia’s Stake in Meta’s AI Success
There’s an obvious layer of self-interest behind Huang’s praise. Nvidia is the dominant supplier of the GPUs powering Meta’s AI infrastructure, which means Meta is also one of Nvidia’s largest customers. Every dollar Meta commits to AI buildout is, in practical terms, a dollar that likely flows back toward Nvidia’s chip business.
That doesn’t make Huang’s comments dishonest, but it does add useful context. A Meta that feels confident in its AI returns is a Meta that keeps placing enormous orders for Nvidia hardware. The Nvidia Meta AI partnership works in both directions: Nvidia supplies the compute power, and Meta’s public success with that power reinforces demand for Nvidia’s chips across the rest of the industry.
What Meta’s AI Pivot Means for Users and Advertisers
Meta’s shift from CPU-based recommendation engines to generative AI architectures has translated into something analysts and executives can actually point to: measurable gains in user engagement and advertising efficiency. That distinction matters in a market where plenty of companies talk up their AI potential without much financial evidence to back it up.
Meta is one of the few large tech firms that can tie its AI investments directly to improved earnings, rather than framing them purely as long-term bets. That’s precisely the argument Huang was making — and it’s why his endorsement carried more weight than a typical executive compliment. For now, the world’s most valuable chipmaker is telling the market that Meta’s enormous AI bet is, so far, paying off.
FAQ
What did Nvidia CEO Jensen Huang say about Meta’s use of AI?
Jensen Huang stated that “nobody uses AI better than Meta” during a CNBC interview.
How much does Meta plan to spend on AI infrastructure in 2026?
Meta plans capital expenditures between $125 billion and $145 billion for 2026, mostly directed at AI infrastructure.
What impact has Meta’s AI investment had on its products?
Meta’s shift to generative AI technologies improved Instagram and Facebook content recommendations and ad targeting.
What are the risks associated with Meta’s large AI spending?
If advertising revenue growth slows or the macroeconomic environment worsens, Meta’s high AI spending could become risky.
Article produced with the assistance of artificial intelligence and reviewed by the editorial team.
