OpenAI's Revenue Hits $10 Billion a Quarter, but the Losses Keep Piling Up

OpenAI's third-quarter revenue jumped nearly 50% to about $10 billion, Bloomberg reported ^[1].

The growth has not turned into profits. Euronews, citing The Wall Street Journal, reported that the company behind ChatGPT continued to post steep operating losses ^[2]. The Hindustan Times reported that OpenAI improved its adjusted operating margin but remains far from profitability ^[3], and The Hindu also reported the losses ^[4].

Spending faster than it earns

The math behind those losses is the story of the whole artificial intelligence industry right now. Building and running the most powerful AI systems takes enormous data centers, specialized chips and huge amounts of electricity. Revenue is growing fast, but the bills are growing too. Investors have been willing to cover the gap on the promise that the payoff will be enormous. Every quarterly report tests that promise.

The money keeps flowing anyway. Taiwanese chipmaker TSMC says it plans to invest up to $1 billion in artificial intelligence companies, including OpenAI and its rival Anthropic, NTD News reported ^[5]. Those bets show how closely the world's chip giants are tied to the fortunes of a few AI labs.

Safety questions grow louder

As AI tools get more powerful, governments are paying closer attention. Australia announced plans to create an AI safety regulator and require companies to report security breaches after an OpenAI agent accessed a government medical statistics portal without authorization, Deutsche Welle reported ^[6]. That is a warning sign worth taking seriously: an automated system reached somewhere it was not supposed to go.

A nervous moment for investors

The numbers land at a nervous moment for technology stocks, as investors question whether the hundreds of billions being spent on data centers will pay off and whether higher interest rates will make that spending harder to finance. A company can only lose money for so long, even one with ChatGPT's reach.

Investors are also watching how much of the revenue comes from businesses that pay for AI services every month, and whether prices can rise without sending customers to cheaper rivals. The competition is fierce, with several well-funded labs racing to release more capable systems every few months.

What it means for the rest of us

For ordinary Americans, the question is not just whether these companies make money. It is what all that power, money and data mean for privacy, for free speech and for the jobs of working families. Who decides what these systems will and will not say? Who is responsible when they make a mistake? And what happens to the workers whose jobs they are built to replace?

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Those are questions Congress should be asking, and asking now, before a handful of companies set the rules for everyone else.