wsj.com - Investors zero in on runaway tech spending putting dent in AI trade


$890 Billion Tech Wipeout Puts Focus on Runaway AI Spending
Concerns about artificial-intelligence spending hit the market value of the Magnificent Seven hard on Thursday

By Hannah Erin Lang , Tina Li and Caitlin McCabe, The Wall Street Journal, July 23, 2026

Both Alphabet and Tesla reported soaring revenue, but investors worried about other metrics.
Alphabet and Tesla reported negative free cash flow as they increased spending on artificial intelligence, autonomous vehicles and robotics.
Analysts expect Meta and Amazon to also post negative free cash flow, while Microsoft is the only major AI spender with positive cash flow.

Wall Street is reckoning with a new reality: The biggest tech companies are no longer cash-printing machines.

Concerns about Alphabet’s(wsj.com - Market data) and Tesla’s (wsj.com - Market data) earnings results spread to other major tech stocks on Thursday, with investors dialed in to the implications of ramped-up capital spending, putting a dent in the artificial-intelligence trade.

Alphabet’s shares slumped some 7%, costing the company more than $293 billion in market value, its largest one-day market-cap loss on record. Shares of Tesla tumbled 15%, the stock’s worst post-earnings performance ever…

Both Alphabet and Tesla reported soaring revenue, but investors instead zeroed in on their AI spending. The phrase of the day: free cash flow—which turned negative at both…

Those companies are racking up unprecedented debt to fund their AI infrastructure plans. At the same time, cheaper open-source AI systems threaten the business models of leading AI labs whose compute and chip needs are driving hyperscale spending… [end quote]

I wrote about this new, thriftier paradigm a few days ago.

discussion.fool.com - A thriftier paradigm for AI

"We all know that the AI hyperscalers are planning to spend hundreds of billions of dollars on massive data centers for generative AI. But Gemini told me that a new paradigm is developing for business-oriented AI. AI is already used in dedicated applications. This is orders of magnitude less expensive than generative AI which tries to absorb and interconnect all of human knowledge. Dedicated AI applications are vastly less expensive to run and maintain than generalized frontier Generative AI...

“What will the stock market do when the numbers show up in the financial reports of the hyperscalers? Only time will tell.”

Time has told.

The stock market doesn’t like negative free cash flow at all. The stock market doesn’t like incredibly high spending on capital-intensive utility-like data centers which will create competitive utilities when stock multiples reflect the hyperscalers’ SaaS-like low fixed asset business model.

Most of all, the stock market knows how quickly tech can become obsolete and understands how the new paradigm can quickly overwhelm the old. We have all seen this many times in tech. The Return on Invested Capital (ROIC) will plummet if the investments are huge while the demand for the service (frontier AI) plummets as customers swing toward cheap distilled AI. Especially since the huge investments in complex chips will depreciate fast since those chips physically deteriorate in 3 - 5 years.

This is the pin that will pop the tech bubble.

Wendy