grid report

DOE report warns of widespread power blackouts by 2030 amid grid challenges

A new report from the Department of Energy says the risk of power blackouts will be 100 times greater in 2030. Photo via Getty Images.

Scheduled retirements of traditional power plants, dependence on energy sources like wind and solar, and the growth of energy-gobbling data centers put the U.S. — including Texas — at much greater risk of massive power outages just five years from now, a new U.S. Department of Energy report suggests.

The report says the U.S. power grid won’t be able to sustain the combined impact of plant closures, heavy reliance on renewable energy, and the boom in data center construction. As a result, the risk of power blackouts will be 100 times greater in 2030, according to the report.

“The status quo of more [plant] retirements and less dependable replacement generation is neither consistent with winning the AI race and ensuring affordable energy for all Americans, nor with continued grid reliability … . Absent intervention, it is impossible for the nation’s bulk power system to meet the AI growth requirements while maintaining a reliable power grid and keeping energy costs low for our citizens,” the report says.

Avoiding planned shutdowns of traditional energy plants, such as those fueled by coal and oil, would improve grid reliability, but a shortfall would still persist in the territory served by the Electric Reliability Council of Texas (ERCOT), particularly during the winter, the report says. ERCOT operates the power grid for the bulk of Texas.

According to the report, 104 gigawatts of U.S. power capacity from traditional plants is set to be phased out by 2030. “This capacity is not being replaced on a one-to-one basis,” says the report, “and losing this generation could lead to significant outages when weather conditions do not accommodate wind and solar generation.”

To meet reliability targets, ERCOT would need 10,500 megawatts of additional “perfect” capacity by 2030, the report says. Perfect capacity refers to maximum power output under ideal conditions.

“ERCOT continues to undergo rapid change, and supply additions will have a difficult time keeping up with demand growth,” Brent Nelson, managing director of markets and strategy at Ascend Analytics, a provider of data and analytics for the energy sector, said in a release earlier this summer. “With scarcity conditions ongoing and weather-dependent, expect a volatile market with boom years and bust years.”

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A View From HETI

Deloitte predicts AI will represent 57 percent of IT spending by U.S. oil and gas companies in 2029. Photo via Unsplash.

Get ready for a massive increase in the amount of AI spending by oil and gas companies in the Houston area and around the country.

A new report from professional services firm Deloitte predicts AI will represent 57 percent of IT spending by U.S. oil and gas companies in 2029. That’s up from the estimated share of 23 percent in 2025.

According to the analysis, the amount of AI spending in the oil and gas industry will jump from an estimated $4 billion in 2025 to an estimated $13.4 billion in 2029—an increase of 235 percent.

Almost half of AI spending by U.S. oil and gas companies targets process optimization, according to Deloitte’s analysis of data from market research companies IDC and Gartner. “AI-driven analytics adjust drilling parameters and production rates in real time, improving yield and decision-making,” says the Deloitte report.

Other uses for AI in the oil and gas industry cited by Deloitte include:

  • Integrating infrastructure used by shale producers
  • Monitoring pipelines, drilling platforms, refineries, and other assets
  • Upskilling workers through AI-powered platforms
  • Connecting workers on offshore rigs via high-speed, real-time internet access supplied by satellites
  • Detecting and reporting leaks

The report says a new generation of technology, including AI and real-time analytics, is transforming office and on-site operations at oil and gas companies. The Trump administration’s “focus on AI innovation through supportive policies and investments could further accelerate large-scale adoption and digital transformation,” the report adds.

Chevron and ExxonMobil, the two biggest oil and gas companies based in the Houston area, continue to dive deeper into AI.

Chevron is taking advantage of AI to squeeze more insights from enormous datasets, VentureBeat reported.

“AI is a perfect match for the established, large-scale enterprise with huge datasets—that is exactly the tool we need,” Bill Braun, the company’s now-retired chief information officer, said at a VentureBeat event in May.

Meanwhile, AI enables ExxonMobil to conduct autonomous drilling in the waters off the coast of Guyana. ExxonMobil says its proprietary system improves drilling safety, boosts efficiency, and eliminates repetitive tasks performed by rig workers.

ExxonMobil is also relying on AI to help cut $15 billion in operating costs by 2027.

“There is a concerted effort to make sure that we’re really working hard to apply that new technology … to drive effectiveness and efficiency,” Darren Woods, executive chairman and CEO of ExxonMobil, said during a 2024 earnings call.

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