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Google's $40B investment in Texas data centers includes energy infrastructure

The future of data

Google is investing in Texas. Courtesy of Google

Google is investing a huge chunk of money in Texas: According to a release, the company will invest $40 billion on cloud and artificial intelligence (AI) infrastructure, with the development of new data centers in Armstrong and Haskell counties.

The company announced its intentions at a meeting on November 14 attended by federal, state, and local leaders including Gov. Greg Abbott who called it "a Texas-sized investment."

Google will open two new data center campuses in Haskell County and a data center campus in Armstrong County.

Additionally, the first building at the company’s Red Oak campus in Ellis County is now operational. Google is continuing to invest in its existing Midlothian campus and Dallas cloud region, which are part of the company’s global network of 42 cloud regions that deliver high-performance, low-latency services that businesses and organizations use to build and scale their own AI-powered solutions.

Energy demands

Google is committed to responsibly growing its infrastructure by bringing new energy resources onto the grid, paying for costs associated with its operations, and supporting community energy efficiency initiatives.

One of the new Haskell data centers will be co-located with — or built directly alongside — a new solar and battery energy storage plant, creating the first industrial park to be developed through Google’s partnership with Intersect and TPG Rise Climate announced last year.

Google has contracted to add more than 6,200 megawatts (MW) of net new energy generation and capacity to the Texas electricity grid through power purchase agreements (PPAs) with energy developers such as AES Corporation, Enel North America, Intersect, Clearway, ENGIE, SB Energy, Ørsted, and X-Elio.

Water demands

Google’s three new facilities in Armstrong and Haskell counties will use air-cooling technology, limiting water use to site operations like kitchens. The company is also contributing $2.6 million to help Texas Water Trade create and enhance up to 1,000 acres of wetlands along the Trinity-San Jacinto Estuary. Google is also sponsoring a regenerative agriculture program with Indigo Ag in the Dallas-Fort Worth area and an irrigation efficiency project with N-Drip in the Texas High Plains.

In addition to the data centers, Google is committing $7 million in grants to support AI-related initiatives in healthcare, energy, and education across the state. This includes helping CareMessage enhance rural healthcare access; enabling the University of Texas at Austin and Texas Tech University to address energy challenges that will arise with AI, and expanding AI training for Texas educators and students through support to Houston City College.

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This article originally appeared on CultureMap.com.

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

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

eyes on ai

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.

ExxonMobil is on Fortune's first-ever AIQ ranking. Getty Images

2 Houston energy giants appear on Fortune’s inaugural AI ranking

AI Leaders

Two Houston-area energy leaders appear on Fortune’s inaugural list of the top adopters of AI among Fortune 500 companies.

They are:

  • No. 7 energy company ExxonMobil, based in Spring
  • No. 47 energy company Chevron, based in Houston

They are joined by Spring-based tech company Hewlett Packard Enterprise, No. `19.

All three companies have taken a big dive into the AI pool.

In 2024, ExxonMobil’s executive chairman and CEO, Darren Woods, explained that AI would play a key role in achieving a $15 billion reduction 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 the opportunity set within the company to drive effectiveness and efficiency,” Woods told Wall Street analysts.

At Chevron, AI tools are being used to quickly analyze data and extract insights from it, according to tech news website VentureBeat. Also, Chevron employs advanced AI systems known as large language models (LLMs) to create engineering standards, specifications and safety alerts. AI is even being put to work in Chevron’s exploration initiatives.

Bill Braun, Chevron’s chief information officer, said at a VentureBeat-sponsored event in 2024 that AI-savvy data scientists, or “digital scholars,” are always embedded within workplace teams “to act as a catalyst for working differently.”

The Fortune AIQ 50 ranking is based on ServiceNow’s Enterprise AI Maturity Index, an annual measurement of how prepared organizations are to adopt and scale AI. To evaluate how Fortune 500 companies are rolling out AI and how much they value AI investments, Fortune teamed up with Enterprise Technology Research. The results went into computing an AIQ score for each company.

At the top of the ranking is Alphabet (owner of Google and YouTube), followed by Visa, JPMorgan Chase, Nvidia and Mastercard. Aside from ExxonMobil, Hewlett Packard Enterprise, and Chevron, two other Texas companies made the list: Arlington-based homebuilder D.R. Horton (No. 29) and Austin-based software company Oracle (No. 37).

“The Fortune AIQ 50 demonstrates how companies across industry sectors are beginning to find real value from the deployment of AI technology,” Jeremy Kahn, Fortune’s AI editor, said in a news release. “Clearly, some sectors, such as tech and finance, are pulling ahead of others, but even in so-called 'old economy' industries like mining and transport, there are a few companies that are pulling away from their peers in the successful use of AI.


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This article originally appeared on InnovationMap.com.

A new EO could streamline regulatory burdens for the development of data centers supporting AI. Getty Images

Energy experts: Executive order enhances federal permitting for AI data centers

Guest column

In an effort to accelerate the development of artificial intelligence, President Trump signed an executive order (EO) aimed at expediting the federal permitting process for data centers, particularly those supporting AI inference, training, simulation, or synthetic data generation.

Following the White House’s issuance of a broader AI Action Plan, the EO seeks to streamline regulatory burdens and utilize federal resources to encourage the development of data centers supporting AI, as well as the physical components and energy infrastructure needed to construct and provide power to these data centers.

Qualifying Projects

The EO directs several federal agencies to take actions to incentivize the development of “Qualifying Projects,” which the EO defines as “Data Centers” and “Covered Component Projects.” The EO defines “Data Center Projects” as facilities that require over 100 megawatts (MW) of new load dedicated to AI inference, training, simulation, or synthetic data generation. The EO defines Covered Component Projects as materials, products, and infrastructure that are required to build Data Center Projects or upon which Data Center Projects depend, including energy infrastructure projects like transmission lines and substations, dispatchable base load energy sources like natural gas, geothermal, and nuclear used principally to power Data Center Projects, and semiconductors and related equipment. For eligibility as a Qualifying Project, the project sponsor must commit at least $500 million in capital expenditures. Data Center Projects and Covered Component Projects may also meet the definition of Qualifying Project if they protect national security or are otherwise designated as Qualifying Projects by the Secretary of Defense, Secretary of the Interior, Secretary of Commerce, or Secretary of Energy.

Streamlining Permitting of Qualifying Projects

The EO outlines the following strategies aimed at improving the efficiency of environmental reviews and permitting for Qualifying Projects:

  • NEPA Applicability: The Council on Environmental Quality (CEQ), in coordination with relevant agencies, is directed to utilize existing and new categorical exclusions under the National Environmental Policy Act (NEPA) to cover actions related to Qualifying Projects, which “normally do not have a significant effect on the human environment.” The EO states that where federal financial assistance represents less than 50 percent of total project costs of a Qualifying Project, the Project shall be presumed not to be a “major Federal action” requiring NEPA review.
  • FAST-41: The Executive Director of the Federal Permitting Improvement Steering Council (FPISC) is empowered to designate a Qualifying Project as a “transparency project” under the Fixing America’s Surface Transportation Act (FAST-41) and expedite its transition from a transparency project to a “covered project” under FAST-41. FPISC is directed to consider all available options to designate a Qualifying Project as a FAST-41 covered project, even where the Qualifying Project may not be eligible.
  • EPA Permitting: The US Environmental Protection Agency (EPA) is directed to modify applicable regulations under several environmental protection statutes impacting the development of Qualifying Projects on federal and non-federal lands. EPA is also directed to develop guidance to expedite environmental reviews for identification and reuse of Brownfield and Superfund Sites suitable for Qualifying Projects. Importantly, state environmental permitting agencies are not subject to the EO.
  • Corps Permitting: The US Army Corps of Engineers is directed to review the nationwide permits issued under Section 404 of the Clean Water Act and Section 10 of the Rivers and Harbors Act of 1899 to determine whether an activity-specific nationwide permit is needed to facilitate the efficient permitting of activities related to Qualifying Projects.
  • Interior Permitting: The US Department of the Interior is directed to consult with the US Department of Commerce regarding the streamlining of Endangered Species Act consultations for Qualifying Projects, and to work with the US Department of Energy to identify federal lands that may be available for use by Qualifying Projects and offer appropriate authorizations to project sponsors.

Federal Incentives for Qualifying Projects

The EO also directs the US Secretary of Commerce to “launch an initiative to provide financial support for Qualifying Projects,” which may include loans, grants, tax incentives, and offtake agreements. The EO further directs all “relevant agencies” to identify and submit to the White House Office of Office of Science and Technology Policy any relevant existing financial support that can be used to assist Qualifying Projects, consistent with the protection of national security.

The EO reinforces the Trump administration’s focus on AI and creates new opportunities for both AI data center developers and energy infrastructure companies providing power or project components to these data centers. Proactive engagement with relevant agencies will be crucial for capitalizing on the opportunities created by this EO and the broader AI Action Plan. By leveraging these financial and environmental incentives, project developers may be able to shorten permitting timelines, reduce costs, and take advantage of federal financial support.

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Jason B. Hutt, Taylor M. Stuart and Anouk Nouet are lawyers at Bracewell. Hutt is chair of the firm’s environment, lands and resources department. Stuart counsels energy, infrastructure, and industrial clients on matters involving environmental and natural resources law and policy. Nouet advises clients on litigation, enforcement and project development matters with a focus on complex environmental and natural resources law and policy.

Musk has said Tesla will hold a shareholder meeting in November. Photo via Getty Images

Tesla announces annual meeting under pressure from shareholders

Tesla Talk

Tesla has scheduled an annual shareholder meeting for November, one day after it came under pressure from major shareholders to do so.

Billionaire Elon Musk's company said in a regulatory filing on Thursday that the meeting would be held Nov. 6, but that may prove troublesome because it comes nearly three months after it is required to do so under state law in Texas, where the company is incorporated.

The annual meeting, given Tesla's fortunes this year, has the potential to be a raucous event and it is unclear how investors will react to the delay, which is rare for any major U.S. corporation.

Tesla shares have plunged 27% this year, largely due to blowback over Musk's affiliation with President Donald Trump, as well as rising competition.

The announcement of the meeting comes a day after a group of more than 20 Tesla shareholders sent a letter to the company's board pressing for an annual meeting after receiving no word of one with the deadline just days away.

Many shareholders have been miffed by Musk's participation in the Trump administration this year, saying he needs to focus on his EV company which is facing extraordinary pressures.

“An annual meeting provides shareholders with the opportunity to hear directly from the board about these concerns, and to vote for or against directors, the board’s approach to executive compensation, and other matters of material importance,” the group said in the letter.

The group cited Texas law, which requires companies to schedule annual shareholders meetings within 13 months of the prior annual meeting.

Tesla’s last shareholders meeting was on June 13 of last year, where investors voted to restore Musk’s record $44.9 billion pay package that was thrown out by a Delaware judge earlier that year.

Also on Thursday, Musk that the Grok chatbot will be heading to Tesla vehicles.

“Grok is coming to Tesla vehicles very soon. Next week at the latest,” Musk said on social media platform X, in response to a post stating that Grok implementation on Teslas wasn't announced on a Grok livestream Wednesday.

Grok was developed by Musk’s artificial intelligence company xAI and pitched as an alternative to “woke AI” interactions from rival chatbots like Google’s Gemini, or OpenAI’s ChatGPT.

Shares of Tesla rose 3% at the opening bell after tumbling this week when the feud between Trump and Musk heated up again.

Weatherford International has partnered with Abu Dhabi-based AIQ to scale processes and boost efficiency with the use of AI. Photo via Getty Images

Weatherford partners with Abu Dhabi-based AI company to boost efficiency

eyes on ai

Houston-headquartered oilfield service company Weatherford International announced a strategic Memorandum of Understanding (MOU) with AIQ, an Abu Dhabi-based artificial intelligence company, to develop innovative solutions for the energy sector.

"We are excited to partner with AIQ to bring innovative, AI-driven solutions to the oil and gas industry,” Girish Saligram, president and CEO of Weatherford, said in a news release. “This strategic partnership allows us to deliver cutting-edge technologies that empower our customers to maximize their operational efficiency, enhance automation, and reduce costs. By combining our strengths, we are leading the way in helping operators modernize their workflows and achieve greater success in today's rapidly evolving energy landscape.”

The collaboration aims to use Weatherford's software and hardware solutions with AIQ's AI-driven systems. Weatherford and AIQ hope this union will significantly enhance operational efficiency across global oil and gas facilities, help operators to optimize their production workflows and reduce downtime.

The companies have developed the new Modern Edge Integration, which will combine AIQ's AI technology with Weatherford's Modern Edge program. It will enable operators to scale their work processes.

In addition, Weatherford's Universal Normalizer will work with AIQ's capabilities to combine operational and financial analysis. Customers will also now be able to procure software needs via a comprehensive industrial SaaS platform with the WFRD Software Launchpad, which can eliminate the issues associated with managing multiple systems and vendors, and provide a single point of access for all Weatherford and partner-built applications.

"This partnership marks another step in AIQ's mission to build partnerships that accelerate the deployment of impactful AI systems across the energy value chain,” Magzhan Kenesbai, Acting Managing Director of AIQ, said in a news release. “By integrating our advanced AI-driven tools with Weatherford's energy-specific technology, we are driving greater efficiencies to the industry through the development of scalable, automated applications. Together, we are set to empower operators to optimize their workflows, reduce downtime, and achieve unparalleled operational excellence.”

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Property Showcase

$524M Texas Hill Country solar project powered by Hyundai kicks off

powering up

Corporate partners—including Hyundai Engineering & Construction, which maintains a Houston office—kicked off a $524 million solar power project in the Texas Hill Country on Jan. 27.

The 350-megawatt, utility-scale Lucy Solar Project is scheduled to go online in mid-2027 and represents one of the largest South Korean-led investments in U.S. renewable energy.

The solar farm, located on nearly 2,900 acres of ranchland in Concho County, will generate 926 gigawatt-hours of solar power each year. That’s enough solar power to supply electricity to roughly 65,000 homes in Texas.

Power to be produced by the hundreds of thousands of the project’s solar panels has already been sold through long-term deals to buyers such as Starbucks, Workday and Plano-based Toyota Motor North America.

The project is Hyundai Engineering & Construction’s largest solar power initiative outside Asia.

“The project is significant because it’s the first time Hyundai E&C has moved beyond its traditional focus on overseas government contracts to solidify its position in the global project financing market,” the company, which is supplying solar modules for the project, says on its website.

Aside from Hyundai Engineering & Construction, a subsidiary of automaker Hyundai, Korean and U.S. partners in the solar project include Korea Midland Power, the Korea Overseas Infrastructure & Urban Development Corp., solar panel manufacturer Topsun, investment firm EIP Asset Management, Primoris Renewable Energy and High Road Energy Marketing.

Primoris Renewable Energy is an Aurora, Colorado-based subsidiary of Dallas-based Primoris Services Corp. Another subsidiary, Primoris Energy Services, is based in Houston.

High Road is based in the Austin suburb of West Lake Hills.

“The Lucy Solar Project shows how international collaboration can deliver local economic development and clean power for Texas communities and businesses,” says a press release from the project’s partners.

Elon Musk vows to put data centers in space and run them on solar power

Outer Space

Elon Musk vowed this week to upend another industry just as he did with cars and rockets — and once again he's taking on long odds.

The world's richest man said he wants to put as many as a million satellites into orbit to form vast, solar-powered data centers in space — a move to allow expanded use of artificial intelligence and chatbots without triggering blackouts and sending utility bills soaring.

To finance that effort, Musk combined SpaceX with his AI business on Monday, February 2, and plans a big initial public offering of the combined company.

“Space-based AI is obviously the only way to scale,” Musk wrote on SpaceX’s website, adding about his solar ambitions, “It’s always sunny in space!”

But scientists and industry experts say even Musk — who outsmarted Detroit to turn Tesla into the world’s most valuable automaker — faces formidable technical, financial and environmental obstacles.

Feeling the heat

Capturing the sun’s energy from space to run chatbots and other AI tools would ease pressure on power grids and cut demand for sprawling computing warehouses that are consuming farms and forests and vast amounts of water to cool.

But space presents its own set of problems.

Data centers generate enormous heat. Space seems to offer a solution because it is cold. But it is also a vacuum, trapping heat inside objects in the same way that a Thermos keeps coffee hot using double walls with no air between them.

“An uncooled computer chip in space would overheat and melt much faster than one on Earth,” said Josep Jornet, a computer and electrical engineering professor at Northeastern University.

One fix is to build giant radiator panels that glow in infrared light to push the heat “out into the dark void,” says Jornet, noting that the technology has worked on a small scale, including on the International Space Station. But for Musk's data centers, he says, it would require an array of “massive, fragile structures that have never been built before.”

Floating debris

Then there is space junk.

A single malfunctioning satellite breaking down or losing orbit could trigger a cascade of collisions, potentially disrupting emergency communications, weather forecasting and other services.

Musk noted in a recent regulatory filing that he has had only one “low-velocity debris generating event" in seven years running Starlink, his satellite communications network. Starlink has operated about 10,000 satellites — but that's a fraction of the million or so he now plans to put in space.

“We could reach a tipping point where the chance of collision is going to be too great," said University at Buffalo's John Crassidis, a former NASA engineer. “And these objects are going fast -- 17,500 miles per hour. There could be very violent collisions."

No repair crews

Even without collisions, satellites fail, chips degrade, parts break.

Special GPU graphics chips used by AI companies, for instance, can become damaged and need to be replaced.

“On Earth, what you would do is send someone down to the data center," said Baiju Bhatt, CEO of Aetherflux, a space-based solar energy company. "You replace the server, you replace the GPU, you’d do some surgery on that thing and you’d slide it back in.”

But no such repair crew exists in orbit, and those GPUs in space could get damaged due to their exposure to high-energy particles from the sun.

Bhatt says one workaround is to overprovision the satellite with extra chips to replace the ones that fail. But that’s an expensive proposition given they are likely to cost tens of thousands of dollars each, and current Starlink satellites only have a lifespan of about five years.

Competition — and leverage

Musk is not alone trying to solve these problems.

A company in Redmond, Washington, called Starcloud, launched a satellite in November carrying a single Nvidia-made AI computer chip to test out how it would fare in space. Google is exploring orbital data centers in a venture it calls Project Suncatcher. And Jeff Bezos’ Blue Origin announced plans in January for a constellation of more than 5,000 satellites to start launching late next year, though its focus has been more on communications than AI.

Still, Musk has an edge: He's got rockets.

Starcloud had to use one of his Falcon rockets to put its chip in space last year. Aetherflux plans to send a set of chips it calls a Galactic Brain to space on a SpaceX rocket later this year. And Google may also need to turn to Musk to get its first two planned prototype satellites off the ground by early next year.

Pierre Lionnet, a research director at the trade association Eurospace, says Musk routinely charges rivals far more than he charges himself —- as much as $20,000 per kilo of payload versus $2,000 internally.

He said Musk’s announcements this week signal that he plans to use that advantage to win this new space race.

“When he says we are going to put these data centers in space, it’s a way of telling the others we will keep these low launch costs for myself,” said Lionnet. “It’s a kind of powerplay.”

$21.5 billion merger will create Houston-based energy powerhouse

Major Merger

Oklahoma City, Oklahoma-based Devon Energy has agreed to buy Houston-based Coterra Energy in a $21.5 billion all-stock deal, forming an energy powerhouse that will be headquartered in Houston. The combined company, boasting an enterprise value of $58 billion, will adopt the Devon brand name.

Revenue for the two publicly traded companies totaled nearly $18.8 billion in the first nine months of 2025. Devon is a Fortune 500 company, but Coterra doesn’t appear in the most recent ranking.

The deal, already approved by the boards of both companies, is expected to close in the second quarter of 2026. Once the transaction is completed, Devon shareholders will own about 54 percent of the combined company and Coterra shareholders will own 46 percent.

“This transformative merger combines two companies with proud histories and cultures of operational excellence, creating a premier shale operator,” says Clay Gaspar, Devon’s president and CEO.

The combined company will be one of the world’s largest shale producers, with third-quarter 2025 production exceeding 550 thousand barrels of oil per day and 4.3 billion cubic feet of gas per day. A significant presence in the Delaware Basin, encompassing hundreds of thousands of acres, will anchor the company’s operations. The 10,000-square-mile Delaware Basin is in West Texas and southeastern New Mexico.

The new Devon also will operate in the Permian Basin, located in West Texas and New Mexico; Marcellus Shale, located in five states in the East; and Anadarko Basin, located in the Texas Panhandle, Colorado, Kansas, and Oklahoma.

Gaspar will be president and CEO of the combined company, and Tom Jorden, chairman, president, and CEO of Coterra, will be non-executive chairman.

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