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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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Apple reports Q4 earnings and revenue slightly above Wall Street estimates

The iPhone maker reported its FY 25 fourth-quarter earnings Thursday.

#10

Tesla just recalled its beleaguered Cybertruck for the 10th time since the vehicle was introduced two years ago. This time the company recalled about 6,000 of the “apocalypse-proof” vehicles due to what the National Highway Traffic Safety Administration says is an improperly installed “optional off-road light bar accessory” that could become disconnected from the windshield while driving, and could “create a road hazard for following motorists and increase their risk of a collision.”

CEO Elon Musk once said he could sell up to 500,000 of the stainless steel behemoths a year. In the first three quarters of this year, the company has sold only about 16,000.

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Analysts lower Meta price targets after social media giant says AI capex will keep climbing

Meta may have posted record revenue Wednesday but the stock is deeply in the red in the wake of its third-quarter earnings report, after the social media company said that its capital expenditure on AI would continue to rise.

The earnings prompted a number of analysts to lower their price targets or downgrade the stock.

RBC Capital lowered its price target to $810 from $840. Bank of America Securities lowered its price target to $810 from $900. Barclays, JPMorgan, Deutsche Bank, and Wells Fargo also lowered their price targets on the company.

Earlier today, Benchmark downgraded its rating to a “hold” from a “buy.” Oppenheimer downgraded the company to “perform” from “outperform,” saying the “significant investment in Superintelligence despite unknown revenue opportunity mirrors 2021/2022 Metaverse spending.” Ouch.

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