Why does Nvidia’s Jensen Huang believe Meta is leading the AI money race?

Why Jensen Huang says Meta is winning the AI money race

AI spending is surging across Big Tech, but real profits remain rare. NVIDIA CEO Jensen Huang believes one company is actually turning huge AI bets into steady financial gains. That company is Meta, and he says the payoff is already showing up in earnings.

While others are still searching for clear returns, Meta appears to be squeezing real money out of its AI systems. Huang recently pointed to Meta as the strongest example of AI investments translating into measurable business results.

AI is expensive, and investors are getting nervous

Tech giants are pouring hundreds of billions into AI infrastructure. Analysts estimate that combined capital spending by major cloud and tech firms could reach roughly $650 billion in 2026, driven largely by AI infrastructure investment.

The concern is simple. Costs are rising fast, but revenue gains are not always keeping pace. Many companies are still trying to prove that their AI tools can generate dependable returns rather than just impressive demos and headlines.

Most companies are still chasing AI profits

Even major players are facing questions about whether their AI spending will truly pay off. Some firms report strong revenue growth, yet investors still worry about how quickly those AI investments will translate into long-term profit.

There are also reports of wasted AI investments tied to data and infrastructure challenges. That adds to the pressure on tech leaders to show that their AI strategies are not just bold, but financially sustainable.

Huang calls Meta the top AI deployer

In a recent interview, Jensen Huang highlighted Meta as the company getting the most out of its AI spending. He described Meta as the leading AI deployer, already seeing meaningful returns from its massive investments.

That praise stands out because Nvidia supplies the chips powering much of today’s AI boom. When the head of the leading AI hardware company says one customer is doing it best, investors tend to listen closely.

Meta shifted from classic systems to generative AI

Huang pointed out that Meta moved beyond older CPU-based recommendation systems. The company upgraded to generative AI and more agent-driven systems to power recommendations across its platforms.

This change reshaped how content is shown to users and how advertisers create material. According to Huang, that technical shift is directly linked to stronger business performance and rising earnings at Meta.

AI is transforming Meta’s ad business

Meta’s core money maker is advertising, and AI now plays a central role there. AI-driven ad ranking has had a major impact on how ads are placed and how well they perform for businesses.

Meta said in its Q4 2025 presentation that AI-driven ad ranking produced roughly four times the revenue impact compared with simply increasing ad load. That shows smarter systems can matter more than just showing users more ads.

Ad revenue numbers are backing up the story

Meta reported fourth-quarter ad revenue of $ 58.14 billion, up 24% from a year earlier. The company tied part of that growth to improvements driven by its AI systems.

Meta said that recent ad ranking and model updates increased Facebook feed clicks by about 3% and Instagram conversions by roughly 5% in its Q4 2025 results presentation. Those small percentage gains add up fast at Meta’s enormous scale.

AI tools are also helping advertisers create content

Meta’s AI push is not only about ranking ads. It also includes tools that help advertisers generate content more easily, such as AI-powered video features.

Meta said its video generation tools reached a roughly $10 billion combined revenue run rate and that their quarter-over-quarter growth outpaced overall ads revenue by about three times.

Little-known fact: Meta began testing its first in-house AI training chip in March 2025, aiming to reduce reliance on external suppliers and lower long-term costs tied to AI infrastructure.

Meta says returns on AI spending remain strong

Despite planning tens of billions in capital spending for AI infrastructure, Meta and some analysts reported that the incremental return on invested capital for recent AI investments remains above 20%, and that the cash-based return on invested capital is above 50%, according to the Q4 2025 presentation.

The company also reported a cash return on invested capital above 52%. Those figures help explain why Huang views Meta’s approach as proof that large AI investments can generate real financial leverage.

Why Meta stands out from other tech giants

Other tech companies are also spending heavily on AI, but many still face doubts about when profits will fully catch up. Slower growth in some areas has made investors question how quickly AI can boost the bottom line.

Meta’s story is different because AI improvements are already visible in its main revenue engine. Instead of waiting for future products, Meta is using AI to strengthen the advertising business it already dominates.

Huang believes AI spending can be sustainable

Huang has argued that today’s huge AI capital spending can be supported by rising cash flows. In his view, companies that successfully deploy AI will generate enough earnings to justify continued investment.

Meta is his leading example of that idea in action. Its AI systems are not just experimental projects, but embedded tools that directly influence revenue, pricing, and advertiser performance.

Want to see how browsers are jumping in to help? Check out how Opera’s AI is stepping up as your next coding buddy.

What Meta’s AI success could mean for the industry

If more companies can follow a similar path, AI could evolve from a costly experiment into a dependable profit driver. Meta’s results suggest that the key may be weaving AI deeply into existing products.

For now, Huang’s comments highlight a clear divide. Some firms are still proving the value of AI, while Meta is already showing how smarter systems can translate into stronger financial performance.

As AI continues to reshape how we work, learn, and stay competitive in the job market, it’s clear that mastering AI today can protect your career for years to come.

What do you think about Meta leading the AI money race? Share your thoughts.

This slideshow was made with AI assistance and human editing.

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