Why Are AI's Biggest Companies Suddenly Asking to Slow Down?

Some of the world's biggest AI companies are doing something surprising: asking to slow down their own technology. But is it about safety, or money?

OpenAI boss Sam Altman recently said his company would "melt" all its GPUs (powerful computer chips used to run AI) if that's what it took to keep humanity safe. He warned AI could go "very badly" in two ways: humans losing control of it, or too much power ending up in too few hands.

Importantly, "pacing" AI doesn't mean stopping. It means developing AI more slowly so that safety testing can catch up. Right now, far more money goes into making AI powerful than into making it safe.

But some experts are skeptical. They think the real reason for the slowdown talk is that the AI race has simply become too expensive to keep funding:

• Global AI investment is expected to hit around $1 trillion in 2026 (Goldman Sachs)
• The six biggest tech giants may spend over $1.3 trillion by 2027 on AI (S&P Global)
• AI companies still haven't proven they can turn these huge costs into steady profits

One investor bluntly translated the slowdown message as: "our profit margins are being wiped out by free open-source models, and we're burning cash too fast." Slowing down could cut costs before a company goes public (an IPO — when a company first sells shares to ordinary investors on the stock market).

Others disagree, arguing that if so many top executives and scientists are worried, the risk is probably real.

The markets reacted fast. After the slowdown calls, AI-linked Asian stocks dropped sharply:

• SoftBank fell 13.2%
• Kioxia fell 9.8%
• SK Hynix fell 5.3%

Meanwhile, US President Donald Trump rejected any slowdown, saying America must stay ahead of China: "whoever wins AI, wins."

The bottom line: Whether driven by genuine safety fears or cold economics, the AI industry is stuck in a race no one wants to lose. With trillions invested and national pride on the line, hitting the brakes may be easier said than done.

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