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AI data center electricity
(Eli Hiller/Getty Images)

Electricity inflation hits highest level in two years as AI boom rumbles on

Is your power bill going to kill the AI trade?

Matt Phillips

Consumer electricity prices were up 6.2% in August compared to last year, the highest reading in over two years. The increase underscores how growing demand from power-thirsty data centers is raising costs for consumers while risking political pushback against the giant investment boom sweeping across the US economy.

The Energy Information Administration forecasts that electricity consumption will hit record highs in 2025 and 2026, with much of that demand reflecting the impact of data centers.

It's not just surging data center demand thats pushing electricity prices higher. 40% of US electricity comes from gas-fired power plants, and the cost of natural gas has jumped recently as supply remains flat while exports rise.

Some analysts have begun to spotlight the surge in electricity prices — and the shortage of supply it reflects — as a growing risk for the AI investment boom.

“The main question were now getting from investors is when do power constraints cause hyperscalers to cut back on capex?” Barclays analysts wrote in a note published September 3.

That’s an important question for everyone in the markets, given that the AI data center trade has been a central driver of the market’s rally off its April lows to new record highs.

That goes for both the hyperscalers writing hundreds of billions of dollars worth of checks to build data centers as well as the companies the tech giants are paying to get the hangar-like warehouses built and jammed with their hardware, networking equipment, and servers.

In a September 4 note, Goldman Sachs analysts wrote:

Hundreds of billions of dollars in AI capex investment have continued to support AI infrastructure stocks. In particular, the public US AI hyperscalers (Amazon, Alphabet, Meta, Microsoft, Oracle) have made $312 billion in capex investments during the past four quarters. Capex growth among these stocks also accelerated sequentially in 2Q (from 69% year/year in 1Q to 78% in 2Q). The earnings and returns of firms involved in the build-out of this infrastructure — i.e., semiconductors, electrical equipment companies, technology hardware firms, power suppliers — have benefited from these sizable capex investments.

Some think the persistent rise in energy prices — they’re now up 42.4% since the end of 2019, compared to an overall CPI increase of 26% — could put a speed bump, if not a roadblock, in front of that gravy train.

In a recently published note summarizing a panel discussion of experts on the topic, analysts at Barclays cited a discussion with one participant who thought the “localized nature of power and data centers is a major challenge” and added that “higher power prices for consumers could become politicized, impacting data center development.”

A separate panelist said that “higher utility bills could also become a political problem, leading to unprecedented involvement from regional governments while creating regulatory uncertainty.”

And there are increasing indications that data center construction is running up against political and community pushback, even in typically business-friendly areas like Texas and Georgia.

Of course, that doesn’t mean the data center boom will screech to a halt completely.

Data centers are increasingly aiming to locate in less densely populated areas with relatively unstrained power grids, though that can bring them into conflict with farmers over different issues, like water consumption.

But it does mean that perhaps we’re getting closer to the point when the heady announcements of hundreds of billions of dollars in AI investment — which pretty much everyone seems to love on paper — will be increasingly running into a more resource-restricted reality.

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Data center trade deep in the red

The data center trade is seeing its steepest sell-off since the market rout that was ignited by President Donald Trump’s Rose Garden tariff announcement back in April.

Goldman Sachs’ themed basket of AI data center shares was down more than 6% at around 12 p.m. ET, putting it on track for its worst day since the tariff announcement.

Losses hammered seemingly every form of input needed for the sprawling concrete server warehouses at the heart of the investment boom.

Hardware makers including data storage companies like Sandisk, Western Digital, and Seagate Technology Holdings, as well as DRAM maker Micron — some of the best-performing stocks in the S&P 500 this year — were taking a licking, as were networking stocks Cisco and Arista Networks and data center builders such as Vertiv Holdings and electrical and mechanical contractor Emcor.

Optimism for all things AI has seemed to evaporate throughout the week, as the stock market greeted lackluster quarterly numbers from Oracle and Broadcom with jittery sell-offs and concern about growing debts that could crater cash flows.

Those worries seem to be spreading to ancillary beneficiaries of the AI boom on Friday, gouging a chunk out of charts that retail dip buyers have not — at least so far — stepped in to buy as we head into the weekend.

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Oracle denies Bloomberg report that it’s delaying some data centers for OpenAI to 2028 from 2027

Getting a multi-hundred-billion-dollar backlog for cloud computing revenues from data center projects is easy. Building them is hard.

Oracle extended declines to as much as -6.5% on the day on the heels of a Bloomberg report that the cloud giant has pushed back the completion dates for some of the data centers it’s building for OpenAI to 2028 from 2027, citing people familiar with the work. Oracle denied this report, telling Reuters that there have been no delays to any sites required to meet its contractual commitments and that all milestones remain on track.

Shares had fully pared their report-induced drop ahead of Oracle’s reply, but remain in the red for the day.

Bloomberg said the reported postponement was attributed to labor and material shortages.

Oracle has been spending more on capex than Wall Street had anticipated, leading to higher-than-expected cash burn. Management boosted its full-year capital spending plans by $15 billion after reporting Q2 results earlier this week.

Oracle’s cloud infrastructure sales came in short of estimates in its fiscal 2026 Q2, a signal that markets already had reason to doubt its ability to quickly turn its humungous RPO (that is, remaining purchase obligations) into revenues.

Traders also seem to be of the mind that potential delays to data center completions are going to limit sales for what goes into them.

Some of the bigger losers since the Bloomberg headline hit the wires include:

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Broadcom’s post-earnings tumble is weighing on Google’s entire AI ecosystem

Broadcom’s post-earnings plunge is prompting a sharp pullback in Google-linked AI stocks, which had been on fire thanks to the warm reception to Gemini 3.

The stocks getting hit hard:

A basket of these Google-linked AI stocks compiled by Morgan Stanley is suffering one of its worst losses of the year. This brisk retreat also follows the release of GPT-5.2 by OpenAI.

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Citi initiates coverage of Planet Labs with “buy” rating

Planet Labs was up after aerospace and defense analysts at Citi initiated coverage with a “buy/high risk” rating and $19 price target.

The stock is up more than 40% this week, after a strong earnings result that spotlighted the company’s growing opportunity in linking its core business of capturing daily images of the planet with AI technologies.

Citi analysts noted the potential for a positive flywheel effect for Planet Labs as it deepens its focus on integrating AI into its offerings:

“AI is accelerating the conversion of pixels to decisions, where Planet’s daily scan and deep archive offer a uniquely large training corpus and broad-area foundation for automation. AI-enabled solutions (MDA/GMS/AMS) are gaining traction with customers such as NATO and the U.S. DoW, validating the approach of integrating AI into broad-area monitoring products... These AI moves create a compounding advantage: more coverage generates more training data, which improves models, which in turn increases product utility and addressable demand.”

The stock has also caught the attention of some of the retail trading crowd, with call options activity spiking on Thursday as traders rode the market reaction to the results.

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