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Who’s really profiting from all the money pouring into AI?

This earnings season is revealing new details of big tech’s eye-popping spending on all things AI, and it shows no signs of slowing. But who is profiting from all this investment, and will it ever lead to profitable AI businesses?

Nvidia seems to be continuing to make a killing selling its AI computing hardware to all of the companies in the space. Unless there is a huge shift away from training ever larger AI models, its products are likely to be in demand. 

Microsoft is making money selling OpenAI’s technology to customers via Azure, and they are planning long-term to meet demand. On Microsoft’s Q4 earnings call this week, executives said demand for AI computing from Azure boosted revenue, and signaled that large investments in data centers, and expensive GPUs will continue, laying out a 15 year timeline to build capacity, allowing them flexibility to respond to demand for AI services.

New reporting from The Information reveals that Microsoft is on track to make about $1 billion annually reselling OpenAI’s services (as part of their complicated partnership), but currently a quarter of that revenue is coming from one customer — TikTok, which could turn elsewhere for its AI computing.

Microsoft’s deal gives them access to OpenAI’s technology, and is rumored to include a hefty slice of their OpenAI profits until their investment is recouped. 

Speaking of OpenAI, the company makes money selling Plus, Team, and Enterprise tiers of ChatGPT subscriptions, and by charging developers access to its API, which is estimated to generate several billion dollars per year. But OpenAI’s business depends upon expensive hardware, high energy costs and has to bankroll some of the highest paid roles in tech.

OpenAI has been busy spending Microsoft’s $10 billion investment on a quest to build artificial general intelligence, which may not be a thing that will ever actually exist. But industry observers are starting to question the fundamentals of OpenAI’s business and can’t figure out how it will continue to raise the cash it needs to power its research and development. Not to mention its ChatGPT service, which is incredibly expensive to operate. 

OpenAI’s technology will be showing up on Apple iPhones this year as part of iOS18, but Apple isn’t paying them for the deal, raising more questions about how OpenAI will fund those increased costs. 

Meta has been spending massively on AI research and hoarding expensive chips, with plans to spend between $35 billion and $40 billion on capital expenditures in 2024. But its AI spending hasn’t yielded much in the way of revenues yet, other than AI improvements to its advertising business.

Earnings reports from Meta later today and Amazon tomorrow may tell more of the story. Last quarter, AI was a key driver of big tech’s capex spending spree:

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The most outlandish tech CEO quotes from 2025

Tech CEOs have been nuttier than ever.

Rani Molla12/12/25
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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.

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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.

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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.”

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