AI’s finally expensive enough to make Wall Street nervous
Google's significant increase in AI-related capital expenditure has raised concerns among investors about the company's ability to forecast costs and maintain profitability. This trend reflects broader financial anxiety across the AI sector as companies invest heavily in data centers.
Why it matters
The sustainability of the current AI investment boom is being questioned as high costs meet competitive pricing pressures.
It’s earnings season, and investors got an unpleasant surprise from Google: an increase on its spending estimate, to as much as $205 billion — from the last quarter’s projection of up to $190 billion. Even the lower end of Google’s new projected range — $195 billion — is much more than the company had previously forecast as its top end spending. Now, look, I recognize that there’s an impulse to say things like “What’s $15 billion between friends?” but from an investor’s perspective, Google has essentially said that it can’t accurately forecast its costs, which is a scary thing. Plus, Google is spending more money than it’s making. And Google is also facing competitive pressures from Chinese AI tools, as well as pricing pressure to keep the cost of its models low.
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