Tech
Nvidia conference with Jensen Huang
Nvidia CEO Jensen Huang delivers a keynote address during the Nvidia GPU Technology Conference in March 2024 (Justin Sullivan/Getty Images)

More than a third of Nvidia’s revenue comes from three customers. That’s increasingly precarious.

A huge chunk of revenue is tied to three mystery companies that are likely all similar, all spending money like they never have before, and all trying to achieve the same perhaps unachievable outcome of super-profitable AI. What could go wrong?

An interesting reveal from Nvidia’s earnings report yesterday is that 34% of the company’s bonkers $130 billion revenue line last year came from just three customers.

We don’t definitively know who they are because they’re cryptically referred to as “Customers A, B, and C” in Nvidia’s annual report. But it’s a pretty safe bet to say, given who has boasted about capital spending plans and hoarding Nvidia chips, that they’re some of the biggest tech companies on the planet. 

Those customers, part of the vaunted “Magnificent 7” that investors love to pile into, have been shouting some mind-blowing 2025 capex forecasts from the rooftops: $100 billion for Amazon, $80 billion for Microsoft, up to $65 billion for Meta, and the list goes on.

That bodes well in the immediacy for Nvidia — the companies that have been driving its insane growth are saying the firehose will likely remain on this year. 

But Nvidia’s revenue line is getting more concentrated. In fiscal 2023, no Nvidia customer accounted for even 10% of its individual revenue. In 2024, one customer did, and it made up 13% of the top line. This year, three companies topped that 10% threshold: Customers A, B, and C were responsible for 12%, 11%, and 11%, respectively, of all Nvidia revenue.

Is that sustainable or healthy? Think about it: when more and more of your revenue — and thus the profits that drive your stock price — are tied up in fewer customers, and those customers are spending exorbitant amounts of money like they never have before, things could get hairy.

For example, Meta’s anticipated $75 billion of capex in 2025 sounds great if you’re one of the companies it’s writing checks to. Capex, of course, is on the balance sheet and doesn’t flow cleanly through to the income statement. But indulge me the unorthodox financial metric for a second and consider: in its entire life as a public company, Meta has generated $286 billion of profit and has racked up $177 billion of capex. That’s a capex-to-income ratio of 62%.

This year, Wall Street expects Meta to generate $64.9 billion of profit, according to FactSet, which would be its most profitable year ever. But the company says it will dole out $60 billion to $65 billion — roughly that entire year’s worth of profit — on capital spending. Capex-to-income ratio? Right around 100%.

The profits will still be there, but I’m trying to put into perspective the raw size of these spending plans. And of course I should say we don’t know for sure whether Meta is one of the big three customers Nvidia mentioned. But even if it’s not, it’s likely spending in a similar way.

While these types of companies — including, presumably, Customers A, B, and C — are spending boatloads of money to make AI happen, there are still questions about whether the technology will generate significant financial benefits that come anywhere close to the amount of money being invested to develop it. Simultaneously, there’s seemingly a race to the bottom happening, as companies like DeepSeek develop ultracheap AI and the general public seems to coalesce on the opinion that cheaper is “good enough.”

In the tech world, things can change quickly. It was only October 2021 when Facebook changed its name to Meta and Mark Zuckerberg wrote in his founder’s letter, “From now on, we will be metaverse-first, not Facebook-first.” On the company’s most recent earnings call, “metaverse” was mentioned twice. “Facebook” was mentioned 14 times. 

Having a revenue base made up largely of a few big spenders has historically not been a great business idea. Now think about more than one-third of Nvidia’s revenue being made up of spending by similar companies, with similar risk profiles, trying to achieve similar transformative AI outcomes that they hope will be extremely profitable. 

I’m not saying the profits won’t come. But what happens if they don’t? 

More Tech

See all Tech
Two Cat Businessmen Holding Drinks

The most outlandish tech CEO quotes from 2025

Tech CEOs have been nuttier than ever.

Rani Molla12/12/25
tech
Rani Molla

Trump AI executive order is a “major win” for Open AI, Google, Microsoft, and Meta, says Ives

President Trump’s new executive order aiming to keep states from enacting AI laws that inhibit US “global AI dominance” is a “major win” for OpenAI, Google, Microsoft, and Meta, according to Wedbush Securities analyst Dan Ives. Big Tech companies have collectively plowed hundreds of billions into the technology, while seeing massive stock price gains, and Ives believes they stand to gain much more.

“Given that there have been over 1,000 AI laws proposed at the state level, this was a necessary move by the Trump Administration to keep the US out in front for the AI Revolution over China,” Ives wrote, adding that state-by-state regulation “would have crushed US AI startup culture.” The presidential order would withhold federal funds from states that put in place onerous AI regulations.

This morning, Whitehouse AI adviser Sriram Krishnan said in a CNBC interview that he’d be working with Congress on a single national framework for AI.

Despite Ives’ rosy read-through on the order, with the exception of Nvidia, which jumped on a report of boosted Chinese demand, many AI stocks are in the red early today. The VanEck Semiconductor ETF is down nearly 1% premarket, as the AI trade struggles thanks to underwhelming earnings results from Oracle earlier this week.

“Given that there have been over 1,000 AI laws proposed at the state level, this was a necessary move by the Trump Administration to keep the US out in front for the AI Revolution over China,” Ives wrote, adding that state-by-state regulation “would have crushed US AI startup culture.” The presidential order would withhold federal funds from states that put in place onerous AI regulations.

This morning, Whitehouse AI adviser Sriram Krishnan said in a CNBC interview that he’d be working with Congress on a single national framework for AI.

Despite Ives’ rosy read-through on the order, with the exception of Nvidia, which jumped on a report of boosted Chinese demand, many AI stocks are in the red early today. The VanEck Semiconductor ETF is down nearly 1% premarket, as the AI trade struggles thanks to underwhelming earnings results from Oracle earlier this week.

tech
Rani Molla

Epic scores two victories as “Fortnite” returns to Google Play and appeals court keeps injunction against Apple

“Fortnite” maker Epic Games notched two wins Thursday in its drawn-out battle against Big Tech’s app stores. “Fortnite” returned to the Google Play app store in the US, Reuters reports, as Epic continues working with Google to secure court approval for their settlement.

Meanwhile, a US appeals court partly reversed sanctions against Apple in Epic’s antitrust case, calling parts of the order overly broad, but upheld the contempt finding and left a sweeping injunction in place — keeping pressure on Apple to allow developers to steer users to outside payment options and reduce its tight control over how apps can communicate and monetize on iOS.

tech
Jon Keegan

Report: AI-powered toys tell kids where to find matches, parrot Chinese government propaganda

You may want to think twice before buying your kids a fancy AI-powered plush toy.

A new report from NBC News found that several AI-powered kids toys could easily be steered to dangerous as well as sexually explicit conversations in a shocking demonstration of the loose safety guardrails in this novel category of consumer electronics.

A report out by the Public Interest Research Group details what researchers found when they tested five AI-powered toys for kids bought from Amazon. Some of the toys offered instructions on where to find matches and how to start fires.

NBC News also bought some of these toys and found they parroted Chinese government propaganda and gave instructions for how to sharpen knives. Some of the toys also discussed inappropriate topics for kids, like sexual kinks.

The category of AI-powered kids toys is under scrutiny as major AI companies like OpenAI have announced partnerships with toy manufacturers like Mattel (which has yet to release an AI-powered toy).

A report out by the Public Interest Research Group details what researchers found when they tested five AI-powered toys for kids bought from Amazon. Some of the toys offered instructions on where to find matches and how to start fires.

NBC News also bought some of these toys and found they parroted Chinese government propaganda and gave instructions for how to sharpen knives. Some of the toys also discussed inappropriate topics for kids, like sexual kinks.

The category of AI-powered kids toys is under scrutiny as major AI companies like OpenAI have announced partnerships with toy manufacturers like Mattel (which has yet to release an AI-powered toy).

tech
Jon Keegan

OpenAI releases GPT-5.2, the “best model yet for real-world, professional use”

After feeling the heat from Google’s recent launch of its powerful Gemini 3 model, OpenAI’s response to its “code red” has been released, reportedly on an accelerated schedule to keep up with the competition.

The company’s new flagship model, GPT-5.2, is out, and the company is calling it “the most capable model series yet for professional knowledge work.”

OpenAI CEO Sam Altman called it the “smartest generally-available model in the world” and shared benchmarks that showed it achieving higher scores than Gemini 3 Pro and Anthopic’s Claude Opus 4.5 in some software engineering tests and abstract reasoning, math, and science problems.

In a press release announcing the new model, the company said: “Overall, GPT‑5.2 brings significant improvements in general intelligence, long-context understanding, agentic tool-calling, and vision — making it better at executing complex, real-world tasks end-to-end than any previous model.”

OpenAI CEO Sam Altman called it the “smartest generally-available model in the world” and shared benchmarks that showed it achieving higher scores than Gemini 3 Pro and Anthopic’s Claude Opus 4.5 in some software engineering tests and abstract reasoning, math, and science problems.

In a press release announcing the new model, the company said: “Overall, GPT‑5.2 brings significant improvements in general intelligence, long-context understanding, agentic tool-calling, and vision — making it better at executing complex, real-world tasks end-to-end than any previous model.”

Latest Stories

Sherwood Media, LLC produces fresh and unique perspectives on topical financial news and is a fully owned subsidiary of Robinhood Markets, Inc., and any views expressed here do not necessarily reflect the views of any other Robinhood affiliate, including Robinhood Markets, Inc., Robinhood Financial LLC, Robinhood Securities, LLC, Robinhood Crypto, LLC, or Robinhood Money, LLC.