Hadi Ghasemi, a University of Houston professor, has uncovered a method to release heat from data centers and electronics at record performance. Photo courtesy UH.

A University of Houston professor has developed a new cooling method that can remove heat at least three times more effectively from AI data centers than current technologies.

Hadi Ghasemi, a distinguished professor of Mechanical & Aerospace Engineering at UH, published his findings in two articles in the International Journal of Heat and Mass Transfer. The findings solve a critical issue in the growing AI sector, according to UH.

High-powered AI data centers generate huge amounts of heat due to the GPU and operating systems they use with extreme power densities, which introduce complex thermal challenges. Traditionally, cooling methods, like microchannels, which use flow and spray cooling, have had limitations when exposed to extreme heat flux, according to UH.

Ghasemi’s research, however, found a more effective way to design thin-film evaporation structures to release heat from data centers and electronics at record performance.

Ghasem’s solution coupled topology optimization and AI modeling to determine the best shapes for thin film efficiency, ultimately landing on a branch-like structure—resembling a tree.

The model found that the “branches” needed to be about 50 percent solid and 50 percent empty space for optimum efficiency, and that they could sustain high heat fluxes with minimal thermal resistance.

“These structures could achieve high critical heat flux at much lower superheat compared to traditionally studied structures,” Ghasemi said in a news release. “The new structures can remove heat without having to get as hot as previous removal systems.

Ghasemi’s doctoral candidates, Amirmohammad Jahanbakhsh and Saber Badkoobeh Hezave, also worked on the project. The team believes their results show the impact of a physics-aware, AI design and can help ensure reliability, longevity and stability of AI data centers.

“Beyond achieving record performance, these new findings provide fundamental insight into the governing heat-transfer physics and establishes a rational pathway toward even higher thermal dissipation capacities,” Ghasemi added in the release

Merab Momen, founder of AI CTO Services. Courtesy Photo

How this Houston expert helps startups turn AI hype into real impact

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Artificial intelligence is now everywhere. It is mentioned in every startup pitch deck, and every corporate roadmap claims to use it. However, many early-stage businesses struggle with the simple question, “What does AI actually mean for my business?”

In a recent podcast episode of EnergyTech Startups, Merab Momen, founder of AI CTO Services and a long time AI practitioner, explains why most founders misunderstand AI, how startups can practically apply it and why Houston is quietly becoming a serious hub for AI-driven innovation.

Filling the AI Leadership Gap

Merab’s career has spanned decades of technology transitions. He worked on neutral networks in the 1990s, constructed computer vision systems long before they were common, and helped install AI solutions inside huge industrial companies. However, he noticed a huge problem when generative AI started to explode into the mainstream-The requirement of a real partner by the founders for AI integration but inability to rely on a full-time CTO and project-based consultants.

“I really needed something which is much more engaging where I can give that partner-level advice to the founders,” he said. By giving firms on-demand access to high-level AI knowledge and expertise, his methodology enables them to analyse tools, steer clear of cost blunders and eventually transition to a permanent technology leader when the time is right.

AI is Older than Most People Think

Despite its recent rise in popularity, AI is nothing new. AI actually began in the 1950s. Merab in his conversation explained how he worked on his first AI project back in the year 1996 that worked perfectly, but the processing power wasn’t just there to make it practical. He continued how he utilized the swarm intelligence models to optimize supply chains, now referred to as MLPOs and data engineering.

From Language Models to Physical World

Much of the public conversation about AI revolves around chatbots and text generation. But Merab sees far greater potential in AI’s interaction with the physical world, especially in industrial settings. He emphasized edge computing and vision language models (VLMs) as significant advances in manufacturing and energy. This physical shift is opening doors for new opportunities for robotics, automated inspections, and industrial safety applications. Merab added that Houston is uniquely positioned for this transition.

Why Houston has an AI Advantage

Silicon Valley may dominate the AI headlines, but Merab believes Houston’s advantage lies beneath the surface. The city doesn’t lag in AI utilization; it just operates in industries where results show differently.

Machine learning isn’t new to Houston’s core industries. Energy companies, manufacturers, logistics providers, and healthcare systems have been using advanced analytics for decades. The difference lies in them innovating in industrial sectors rather than consumer technology.

What’s Next

With the AI CTO Services growing, Merab is working with startups across industries to deploy AI in practical, business-first ways.

He is more interested in assisting founders in finding answers to critical issues than following new trends.

For Houston’s energy and climate tech community, it needs to transform AI enthusiasm into real-world impact.

Listen to the full conversation with Mehrab Momin on the Energy Tech Startups Podcast to learn more.

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Energy Tech Startups Podcast is hosted by Jason Ethier and Nada Ahmed. It delves into Houston's pivotal role in the energy transition, spotlighting entrepreneurs and industry leaders shaping a low-carbon future.


A new report shows the role Texas could play as the data-center sector enters "hyperdrive." Photo via JLL.com.

Texas could topple Virginia as biggest data-center market by 2030, JLL report says

data analysis

Everything’s bigger in Texas, they say—and that phrase now applies to the state’s growing data-center presence.

A new report from commercial real estate services provider JLL says Texas could overtake Northern Virginia as the world’s largest data-center market by 2030. Northern Virginia is a longtime holder of that title.

What’s driving Texas’ increasingly larger role in the data-center market? The key factor is artificial intelligence.

Companies like Google and Microsoft need more energy-hungry data centers to power AI innovations. In a 2023 article, Forbes explained that AI models consume a lot of energy because of the massive amount of data used to train them, as well as the complexity of those models and the rising volume of tasks assigned to AI.

“The data-center sector has officially entered hyperdrive,” Andy Cvengros, executive managing director at JLL and co-leader of its U.S. data-center business, said in the report. “Record-low vacancy sustained over two consecutive years provides compelling evidence against bubble concerns, especially when nearly all our massive construction pipeline is already pre-committed by investment-grade tenants.”

Dallas-Fort Worth has long dominated the Texas data-center market. But in recent years, West Texas has emerged as a popular territory for building data-center campuses, thanks in large part to an abundance of land and energy. Nearly two-thirds of data-center construction underway now is happening in “frontier markets” like West Texas, Ohio, Tennessee and Wisconsin, the JLL report says.

Northern Virginia, the current data-center champ in the U.S., boasted a data-center market with 6,315 megawatts of capacity at the end of 2025, the report says. That compares with 2,423 megawatts in Dallas-Fort Worth, 1,700 megawatts in the Austin-San Antonio corridor, 200 megawatts in West Texas, and 164 megawatts in Houston.

Google is investing in Texas. Courtesy of Google

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

The future of data

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.

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Chevron eyes $7B Texas power plant for Microsoft data center campus

power deal

Software giant Microsoft is negotiating exclusively with Houston-based oil and gas titan Chevron and investment firm Engine No. 1 about the development of a $7 billion power plant in West Texas that would supply electricity for a Microsoft data center campus.

The proposed natural-gas-fired plant initially would generate 2,500 megawatts of electricity, Bloomberg reports. The plant would be built near Pecos, a Permian Basin city, in an area where Microsoft plans to build a 2,500-megawatt data center campus on a 7,000-acre site.

A deal with Microsoft would secure a long-term customer for the plant’s output and help finance its construction, Bloomberg says. The project, expected to be producing power by 2030, still requires tax and environmental approvals as well an agreement to terms among Chevron, Engine No. 1, and Microsoft.

In a statement issued after Bloomberg reported the news, Chevron acknowledged it was in exclusive talks with Engine No. 1 and Microsoft, but the oil and gas company offered no details.

Chevron says the proposed plant “reflects an emerging shift in how power for AI is being developed, bringing energy supply closer to demand through co-located, behind-the-meter generation to deliver reliability while helping avoid added strain on regional electricity systems. It pairs sustained, always-on demand from advanced computing with proven capability to design, build, and operate large-scale energy infrastructure.”

Development of gas-powered electrical plants for AI data centers represents a new—and potentially lucrative— business line for Chevron. In 2025, Chevron, Engine No. 1 and GE Vernova announced a partnership to produce natural gas for AI data centers in the U.S.

Chevron’s collaboration with Engine No. 1 has already secured an order for seven large natural gas turbines from GE Vernova, according to Bloomberg.

“Energy is the key to America’s AI dominance,” Chris James, founder and chief investment officer of Engine No. 1, said last year. “By using abundant domestic natural gas to generate electricity directly connected to data centers, we can secure AI leadership, drive productivity gains across our economy, and restore America’s standing as an industrial superpower.”

8 CERAWeek 2026 takeaways from a new Houston energy leader

guest column

My first CERAWeek was a blur.

Having top energy executives, policymakers, and technologists all gathered in Houston—over 11,000 of them this year—was both overwhelming and energizing. The theme was “Convergence and Competition: Energy, Technology, and Geopolitics,” and walking through the George R. Brown Convention Center, it was immediately clear that this was no ordinary industry conference.

As a first-timer with a Greentown Labs lens, here’s what really stuck with me.

Disruption is the new normal

CERAWeek 2026 was set against the backdrop of conflict in the Middle East, the continued race to power AI, and a clear throughline: disruption is increasingly the new normal. You could feel it in every hallway conversation. The ongoing conflict in the Middle East, specifically Iran’s attacks on Qatar’s Ras Laffan facility and the closure of the Strait of Hormuz, affected roughly 20% of the world’s liquified natural gas supply, and that was woven into nearly every conversation throughout the week.

Secretary of Energy Chris Wright opened the conference with “Energy is life,” then quickly turned to natural gas. “America’s superpower is natural gas,” he said, pointing to its role in industry, heat, electricity, fertilizer, exports, and leading AI and manufacturing. That set the tone early and it never really shifted.

AI is still everywhere, but the conversation has shifted

No surprise that AI dominated the agenda. But what struck me as a first-timer was how much the conversation had matured. The AI discussion has moved from general enthusiasm to a much more practical focus on real use cases and measurable outcomes.

NVIDIA, Anthropic, and CyrusOne joined the established tech presences of Microsoft, Google, and AWS, occupying the Innovation Agora’s new AI Hub, which displaced the hydrogen hub from prior years. That detail alone tells you something about where the energy conversation has shifted. Annual global investment in data centers reached $771 billion in 2025, nearly on par with oil and gas ($835 billion) and renewable energy ($798 billion). We are not talking about a niche technology story anymore. This is a capital story, an infrastructure story, and an energy story all at once.

The prevailing tone was uncertain; the gap between what is being announced and what can actually be delivered was the subtext of almost every conversation. Transmission takes over a decade to build. The new generation takes five to nine years. AI infrastructure moves on three-to-five-year timelines. The math doesn’t work yet, and everyone is aware.

Pitch competitions still draw crowds

The Energy Venture Day and Pitch Competition at the McKinney Balcony was one of my favorite events of the week. Seeing Greentown members on that stage never gets old, but what really energized me was the broader mix: students, new founders, and veteran entrepreneurs in one space, all talking about how what they’re building is going to impact the world. S&P Global launched the NextGen cohort with 100+ graduate students from around the country getting a front-row seat to the energy sector.

Geothermal may have stolen the show

If I had to pick the most surprising theme of my first CERAWeek, it was geothermal. It drew the most consistent endorsement of the week, with Department of Energy representatives, oil and gas majors, and operators broadly aligned on its potential. Project InnerSpace hosted a dedicated Geothermal House for the first time, launching a standardized resource classification framework with the Society of Petroleum Engineers and an XPRIZE collaboration targeting surface-plant supply chain breakthroughs. For a sector that has lived in the shadows of wind and solar for years, CERAWeek 2026 was geothermal’s time to shine.

Wow, was I impressed with Melanie Nakagawa

Melanie Nakagawa, chief sustainability officer at Microsoft, delivered an impressive keynote during her fireside chat with Brad Burke. Her depth of experience, from the U.S. Department of State and venture capital to her current role at Microsoft, was matched only by her calm, hopeful demeanor. Leaders like her at the helm of climate action inspire genuine confidence in the future.

What about hydrogen?

Hydrogen was notably absent from the main stage. The AI Hub in the Innovation Agora displaced the hydrogen hub that had been a fixture in prior years. Seems like hydrogen still plays a role, but not as quickly or broadly as hoped. Blue hydrogen is moving forward cautiously. It wasn’t gone from the conversation entirely, but it no longer commands the room.

The label problem isn’t going away

Politics continues to polarize the industry. Climatetech, sustainability, cleantech — some labels carry broad objectives, others have become tribal signals. “Energy transition” for some means a replacement of fossil fuels; for others, it means an evolution across multiple dimensions simultaneously. CERAWeek 2026 showed an industry increasingly focused not on feel-good narratives about the future of energy, but on the harder questions of security, buildout, reliability, affordability, and competitiveness. A pragmatic shift may be the best answer to the label problem.

Collaboration isn’t optional—it’s strategic

The energy transition is no longer primarily an environmental story. It has become a technology and national competitiveness story. The problems are too big for any one company, sector, or country to solve alone. From incubators and investors to utilities and hyperscalers, the message was consistent all week: move together or we don’t move. S&P Global introduced “The Bridge,” a new venue specifically for energy-tech crossover conversations: a small but meaningful signal that even the conference organizers recognize that collaboration will get us further.

The scale and the energy in the room (pun intended) are what stood out most from my first CERAWeek. The industry knows what needs to get built. The question now is whether we can work together to build it fast enough.

See you next year, CERAWeek.

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Kelsey Kearns is director of Greentown Houston with more than a decade of experience in the technology sector. She served as director of community strategy for Greentown Houston from September 2025 to February 2026. Before that, she was director of business development for Howdy.com.

Houston nuclear startup launches at CERAWeek, plans Texas facility

going nuclear

A new nuclear energy startup launched last month during CERAWeek in the Bayou City.

FluxPoint Energy, the new Houston- and McLean, Virginia-based company, plans to develop the nation’s first new uranium conversion facility in more than 70 years, an effort CEO and founder Mike Chilton says is critical to unlocking the next phase of nuclear energy growth.

"Policymakers, utilities, and developers increasingly point to fuel availability as a limiting factor for America's nuclear reactors—both present and future," Chilton said in a news release. "Uranium conversion has become an unacceptable chokepoint in a global supply chain still dominated by foreign providers."

Chilton has held leadership roles at Pegasus-Global Holdings and GE Verona Hitachi Global Nuclear Fuels. Rodrigo Gonzalez Arbizu serves as COO and Christopher J. Rimel as chief of staff. The Board of Advisors includes energy leaders, including Jeff Lyash, John Sharp, Jane Stricker, Jennifer Skylakos, Leo Weitzenhoff and Jay Wileman.

FluxPoint’s planned facility will convert uranium oxide into uranium hexafluoride (UF6). Although FluxPoit’s new facility is still far off, the company announced it had secured a site and completed both market and feasibility studies. The specific area has not been revealed, only that it will be in Texas.

Discussions at CERAWeek revolved around securing reliable sources of uranium.

Nuclear energy production has been stagnant or even in slight decline since the 1990s. Concerns about nuclear waste and safety, as well as prohibitive costs, have kept new plants from being built, while the widespread availability of cheap natural gas has made investing in nuclear power less profitable. Many see the technology as dangerous and outdated.

However, as energy crises become more common, companies like FluxPoint are looking to restart the nuclear energy sector. The industry got a boost under the Biden Administration thanks to the Inflation Reduction Act, which set goals of adding 35 gigawatts of new capacity by 2035.

Chilton participated in a panel on the best ways to ensure American nuclear plants have access to uranium, most of which is not mined in the United States.

"America cannot lead in nuclear energy while relying on foreign-controlled fuel processing," Chilton added. "FluxPoint was created to restore a critical piece of our nation's energy infrastructure—ensuring that U.S. reactors have access to a secure, domestic fuel supply. This is about energy security, economic strength, and global leadership."