AI power stocks slid after Meta's earnings. GE Vernova (GEV) and Vistra (VST) fell about 10%.

Meta, GE Vernova, and Vistra logos

Key points

  • GE Vernova and Vistra fall about 10%
  • Meta's capital spending exceeds operating cash flow
  • NextEra gains despite the power-stock selloff

Shares of companies supplying power and equipment for AI data centers fell sharply on Oct. 22 as spending at Meta Platforms (META) fueled concerns about the buildout. GE Vernova (GEV) dropped 10.6%, and Vistra (VST) fell 9.8%.

CNBC said Meta's third-quarter report "reignited concerns over AI infrastructure spending." Meta spent $34.9 billion on capital investments, more than its day-to-day business generated, leaving free cash flow at negative $2.1 billion.

The losses extended across the sector. Fuel cell maker Bloom Energy (BE) fell 8.7%, grid contractor Quanta Services (PWR) lost 8.1%, and nuclear plant operator Constellation Energy (CEG) dropped 5.7%. Meta fell 7%. The S&P 500 declined 1.2%, while the Nasdaq Composite lost 2.6% in its worst day since June.

Meta raised the lower end of its 2026 capital spending forecast to $135 billion from $130 billion, keeping the upper end at $145 billion. Chief Financial Officer Susan Li gave the figures on Meta's Oct. 21 earnings call.

Meta also announced it will give shareholders one new nonvoting Class C share for each share they hold, "effectively resulting in a two-for-one stock split," Li said. The shares could be used for "capital raising, employee compensation, acquisitions, other general corporate purposes." She added, "We don't have any specific financing plans to announce at this time."

NextEra rose while AI power stocks fell

Not every power stock fell. NextEra Energy (NEE), which builds wind, solar, and battery projects, rose 4.6% to $81.90. The company reported third-quarter results on Oct. 21, with adjusted earnings of $1.24 a share, up from $1.13 a year earlier. Its renewables and storage backlog stood at about 36.7 gigawatts. Solar panel maker First Solar (FSLR) slipped 2%.

A slower data center buildout would cut both ways for clean energy, TIME senior correspondent Justin Worland wrote on Oct. 23. A slowdown could ease pressure to build fossil fuel plants. It would also hurt newer technologies, such as advanced geothermal and new kinds of nuclear power, that depend on "big, reliable buyers who are willing to pay a premium for power," he wrote. Worland also pointed to rising bond yields at CoreWeave (CRWV), whose bonds due 2032 yielded nearly 15% on Oct. 13.

GE Vernova reports third-quarter results before the market opens on Oct. 28.

Frequently asked questions

Why did AI power stocks fall on October 22, 2026?

Power companies tied to the AI data center buildout sold off the day after Meta Platforms (META) reported negative free cash flow of $2.1 billion for the third quarter on $34.9 billion of capital spending. CNBC said Meta's report reignited concerns over AI infrastructure spending. The Nasdaq Composite fell 2.6% that day.

How much did GE Vernova and Vistra fall?

GE Vernova (GEV) closed down 10.6% and Vistra (VST) fell 9.8% on October 22, 2026. Bloom Energy (BE) dropped 8.7%, Quanta Services (PWR) lost 8.1%, and Constellation Energy (CEG) fell 5.7%.

How did NextEra Energy stock do on October 22?

NextEra Energy (NEE) rose 4.6% to $81.90 on October 22, 2026, while AI power stocks fell. It had reported third-quarter adjusted earnings of $1.24 a share on October 21, up from $1.13 a year earlier, and a renewables and storage backlog of about 36.7 gigawatts.

When does GE Vernova report earnings?

GE Vernova (GEV) reports third-quarter 2026 results before the market opens on Wednesday, October 28, 2026, followed by a webcast at 7:30 a.m. ET.

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Dennis Singleton
Dennis Singleton

Dennis Singleton was born in Australia and later moved to the United States. He has spent years following the markets, but what keeps his attention is how AI is built. He writes about the companies behind the technology, from semiconductor designers and advanced packaging to photonics, memory, networking, and the hardware powering modern AI. His approach starts with filings, earnings, and industry research, then translates the important details into clear, straightforward analysis without unnecessary hype.