AI's Money Problem: Google's Ballooning Costs Spook Investors Across the Whole Industry
Google just admitted it will spend up to $205 billion this year, more than it previously said it would spend at the high end. That miscalculation is rattling investors, and the pressure is spreading to every major AI company.
Key points
- Google raised its 2025 capital spending estimate to between $195 billion and $205 billion, up from a previous top-end forecast of $190 billion.
- Nvidia, the company that makes the specialised chips most AI systems run on, is reportedly in deal talks totalling roughly $750 billion, including a $250 billion arrangement to guarantee OpenAI's debt.
- Meta, Amazon and Microsoft are all reporting earnings this week and are expected to announce similar spending increases on data centres.
- A new competitive AI model from a Chinese start-up has renewed concerns that expensive chips may not be strictly necessary to build powerful AI.
- Some long-term AI investors already expect a wave of company failures once the current spending boom corrects.
Google's parent company Alphabet reported earnings this week and buried inside the numbers was a figure that made investors uncomfortable: the company now expects to spend between $195 billion and $205 billion this year building out its AI infrastructure. Its previous forecast had put the top of that range at $190 billion.
That is not a rounding error. The new low end exceeds the old high end by $5 billion.
Why does that matter? Because Google is currently spending more money than it is bringing in from AI, at the same time it faces pressure to keep the prices of its AI services low to stay competitive. Spending more while earning the same, or less, is a straightforward problem for any business.
Is this just Google's problem?
No. The same pressure sits on the whole industry. Meta, Amazon and Microsoft are all reporting earnings this week, and analysts widely expect each of them to announce higher-than-expected spending on the data centres, the warehouse-sized buildings packed with computers, that power their AI products.
Nvidia, the company that makes the specialised chips most AI systems depend on, is reportedly deep in deal talks worth a combined $750 billion across several agreements. One of those deals, worth around $250 billion, would see Nvidia guarantee debt taken on by OpenAI. Billy Leung, investment strategist at Global X Management, told Bloomberg that arrangement is "as much a reminder of funding strain in the AI build-out as it is a demand signal." In other words, it looks less like a sign of booming demand and more like a sign that the companies building AI need financial help.
Oracle, whose public stock price many investors treat as a rough proxy for OpenAI's health, is also drawing scrutiny over the debt it has taken on to build data centres.
What does a Chinese AI model have to do with any of this?
Quite a lot, as it turns out. A new model from a Chinese start-up spooked investors this week. The reason is straightforward: Chinese companies theoretically have less access to Nvidia's most advanced chips due to US export restrictions, yet their AI systems keep matching or approaching the performance of American ones. If you can build competitive AI with fewer or cheaper chips, the entire argument for spending hundreds of billions on infrastructure starts to look shaky, and so does the case for Nvidia's current valuation.
What happens next?
Earnings from the other big tech companies this week could calm nerves if the numbers look better than feared. They might not. Several experienced investors spoken to by The Verge AI reporter Elizabeth Lopatto said they already expect the industry to overbuild data centres and that many smaller AI companies will fail when spending pulls back. Their bet is that the survivors will generate enough returns to cover the losses on the ones that do not make it.
For ordinary people using AI tools, the near-term effect is likely a continuation of the current price war: companies fighting for users tend to keep services cheap or free. The longer-term question, which nobody has yet answered convincingly, is how these companies plan to make the money back.
Common questions
Does this mean my AI tools will get worse or more expensive?
Not immediately. Companies competing for users have every reason to keep prices low and quality high for now. A correction, if one comes, would more likely shrink the number of companies offering AI tools than raise prices overnight.
Should ordinary investors be worried about tech stocks?
That depends entirely on your individual situation, but the pattern worth watching is simple: if major AI companies keep spending more than they earn, and no clear path to profit emerges, valuations built on future promises become harder to defend.
