eyes on ai

Energy sector AI spending is set to soar to $13B, report says

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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A View From HETI

The company says its proprietary Arc “grid in a box” contains everything needed to store and supply electricity. Photo via LinkedIn

Houston-based startup Branch Energy, which offers a self-contained “grid in a box,” has collected $33 million in a Series B round.

Piva Capital and Clean Energy Ventures led the round, according to a news release. Active Impact Investments, Whitecap Venture Partners, Prelude Ventures, Zero Infinity Partners and Inovia Capital also contributed to the round.

In 2024, Branch raised $10.8 million in an oversubscribed Series A round.

Branch’s business model

Branch, which launched in 2021, says its proprietary Arc “grid in a box” contains everything needed to store and supply electricity. A container about the size of a parking space holds an industrial-grade battery, grid connection equipment, cooling capabilities, autonomous controls and cloud-based management software.

The startup installs Arc systems at warehouses, hotels, factories, stores and other commercial properties. Each system arrives on a flatbed truck and can be online within two days, Branch says.

Under Branch’s business model, a property owner avoids upfront payment for an Arc system.

Aside from equipping a host business with an Arc system, Branch serves as the business’ power provider. The startup says it guarantees savings on the host’s energy bills and delivers backup power during outages.

Branch generates revenue by sending the battery’s stored power to the grid or to customers like hyperscale data centers. It also benefits by shifting energy from low-cost periods at night to high-cost periods during daily power peaks.

The startup handles permitting, installation, insurance and operations for each Arc system. The host provides a parking-lot-sized plot of land for the system.

Alex Ince-Cushman, co-founder and CEO of Branch, says the startup’s “grid in a box” can quickly meet the substantial power requirements of hyperscale data centers.

“We can do it on the timeline of a delivery, not a construction project. Our customers don’t lift a finger, don’t pay a dime and get guaranteed savings,” Ince-Cushman said in the release.

Entering the Illinois market

Branch already operates in Texas and is entering the Illinois market.

PJM, which operates Illinois’ power grid, recently paved the way for major energy users like data centers to connect to the grid sooner when they rely on their own electricity generation. PJM’s territory covers roughly 1.2 million commercial buildings and represents 20 percent of U.S. power demand, according to Branch.

“Grids around the country need the distributed capacity that [the Arc] system can supply, especially in states with fast-growing power demand like Texas and Illinois,” Lee Larson, principal at Piva Capital added in the release.

To keep up with that demand, Branch plans to build tens of thousands of Arc systems in the U.S.

A multibillion-dollar company in the making?

Daniel Goldman, co-founder and managing partner of Clean Energy Ventures, said Branch holds the potential to become a multibillion-dollar competitor in the emerging market for distributed power.

“With utility-scale generation and storage challenged by interconnect and siting constraints, behind-the-meter commercial, and industrial storage sites have become the ultimate market opportunity with ease of interconnect, ability to combine distributed AI data centers, and identifiable savings in rapidly growing markets,” Goldman said.

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