Scotty Nyquist discuss the growth in AI data centers and the strain on the system. Photo via HARC report

For most of the past 20 years, U.S. electricity policy relied on predictable trends in demand. Electricity use, in most regions, increased gradually, forecasts were stable, and utilities adjusted the system in small steps. Power plants, transmission lines, and substations were generally added to reflect shifts in load, rather than growth, and costs were recovered through modest adjustments to customer bills.

Growth in AI data centers has disrupted this model. A single facility can add as much electricity demand as a small town. That demand comes all at once, runs continuously, and has little tolerance for outages. If electricity service drops even briefly, computation stops, and services shut down. Ironically, data centers need reliable service, a point that their emergence is driving concern around for the rest of the grid.

What the numbers say

The International Energy Agency projects global electricity consumption from data centers to double by 2030, reaching roughly 945 TWh, nearly 3 percent of global electricity demand, with consumption growing about 15 percent per year this decade. McKinsey projects that U.S. data center demand alone could grow 20–25 percent per year, with global capacity demand more than tripling by 2030.

After years of roughly 0.5 percent annual demand growth, many forecasts now place total U.S. electricity demand growth closer to 2–3 percent per year through the mid-2030s, with much higher growth in specific regions. In Texas, some forecasters are saying electricity demand could double over the next five years, a staggering 10 percent per year growth rate. What sounds incremental on paper translates into a major challenge on the ground. Meeting this pace of growth is estimated to require $250–$300 billion per year in grid investment, about double what the system has been absorbing.

Where the system starts to strain

The strain appears first in the interconnection queue. It shows up as long waits, backlogs, and delays for connecting new loads and new generation.

Before new generators or large load customers can be connected, a study is required to assess their impact on the grid, whether it can physically handle the added load, and whether upgrades are required. With AI-driven data centers, utilities face far more connection requests than they can realistically support. In ERCOT, large-load interconnection requests exceed 200 gigawatts, most tied to data centers. That amount exceeds historical norms, and it is several times larger than what can be practically studied or built in the near term.

To be clear, public utility commissions are required to study these requests because they must manage system capabilities to ensure minimal disruption. This means engineers spend time evaluating projects that may never be built, while other more commercially viable projects may wait longer for approvals. This extends timelines and makes infrastructure planning less reliable.

Why policymakers are rethinking the rules

Utilities and their regulators must decide how much generation, transmission, and substation capacity to build years before it comes online. Those decisions are based on expected demand at the time projects are approved. When it comes to data centers, by the time infrastructure is completed, they may end up deploying newer, more efficient chips that use less power than originally assumed. This can result in grid infrastructure built for a higher load than what actually materializes, leaving excess capacity that still must be paid for through system-wide rates.

That’s the central dilemma. If utilities build too little capacity, the system operates with less reserve margin. During periods of grid stress, operators have fewer options, increasing the likelihood of curtailments or outages. However, if utilities build too much, customers may be asked to pay for infrastructure that is not fully used.

In response, policymakers are adjusting the rules. In some regions, regulators are moving toward bring-your-own-power approaches that require large data centers to supply or fund part of the capacity needed to serve them or reduce demand during system stress. At the federal level, permitting reforms tied to datacenter infrastructure increasingly treat electricity as a strategic economic input.

As Ken Medlock, senior director at the Baker Institute Center for Energy Studies (CES), explains:

“Many of the planned data centers are now also adding behind-the-meter options to their development plans because they do not anticipate being able to manage their needs solely from the grid, and they certainly cannot do so with only intermittent power sources.”

Behind-the-meter (BTM) refers to power that a consumer controls on its side of the utility meter, such as on-site gas generation or a dedicated power plant. These resources allow data centers to keep operating during grid-related service. Most facilities remain connected to the grid, but the backup BTM generation serves as insurance for operating their core business.

This shifts responsibility. Utilities traditionally manage reliability across all customers by maintaining an operating reserve margin, or spare capacity. Increasingly, large-load customers manage part of their own electricity reliability needs, which changes how infrastructure is planned and how risk is distributed.

Bottom line

AI-driven load growth is arriving faster and in more concentrated places than the power system was built to accommodate. Utilities and regulators are being forced to make decisions sooner than planned about where to build, how fast to build, and which customers get priority when capacity is limited. The effects extend beyond data centers, showing up in system costs, reliability margins, competition for grid access, and pressure on communities and industries that depend on affordable and dependable power. The issue is not whether electricity can be generated, but how the costs and risks of rapid demand growth are distributed as the system tries to keep up. How regulators balance these decisions will determine who pays as AI demand outruns the power grid.

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Scott Nyquist is a senior advisor at McKinsey & Company and vice chairman, Houston Energy Transition Initiative of the Greater Houston Partnership. The views expressed herein are Nyquist's own and not those of McKinsey & Company or of the Greater Houston Partnership. This article originally appeared on LinkedIn.

Collide has rolled out RIGGS, a large language model for energy professionals. Photo via Getty Images

Houston AI startup rolls out platform to reshape oil and gas workflows

AI for energy

Houston-based Collide is looking to solve AI issues in the energy industry from within.

Co-founded by former oil roughneck Collin McLelland, the company has developed AI software for operators and field teams, shaped by firsthand oilfield experience. Its AI-native platform “retrieves and synthesizes data from authoritative sources to deliver accurate, cited, and energy-focused insights to oil and gas professionals,” according to the company.

“Oil and gas has a graveyard full of technology that was technically impressive and operationally useless,” McLelland tells Energy Capital. “The reason is almost always the same: the people who built it didn't understand what they were actually solving for. When you're an outsider, you see workflows and try to automate them. When you're an insider, you understand why those workflows exist—the regulatory constraints, the physical realities, the liability concerns, the trust dynamics between operators and service companies.”

Collide’s large language model, known as RIGGS, performed well in recent benchmarking results when taking a standardized petroleum engineering (SPE) exam, the company reports. The exam assesses understanding from conceptual terminology to complex mathematical problem-solving.

According to Collide, RIGGS achieved a score of 67.5 percent on a 40-question subset of the SPE petroleum engineering exam, outperforming other large language models like Grok 4 (62.5 percent), Claude Sonnet 4.5 (52.5 percent) and GPT 5.1 (4 percent).

RIGGS completed the test in 15 minutes, while Grok took two hours. Collide hopes over the next few months, RIGGS will receive a score between 75 percent to 80 percent accuracy.

The software could potentially help oil and gas companies produce accurate outputs and automate trivial workflows, which can open up valuable time for engineers and teams to work on other pressing matters, according to McLelland.

“Collide exists because we sat in those seats — we were the engineers, the operators, the field guys,” he says. ”RIGGS scoring higher on the PE exam versus the frontier labs isn't a party trick. It's evidence that the model understands petroleum engineering the way a petroleum engineer does, because it was built by people who do.”

RIGGS was trained on Collide’s Spindletop hardware and is supported by a vast library of information, as well as a reasoning engine and validation layer that uses logic to solve problems.

“Longer term, we see RIGGS as the intelligence layer that sits underneath every operator's workflow — not a chatbot you open in a browser, but something embedded in the tools engineers already use,” McLelland says. “The goal is to give every engineer the knowledge and pattern recognition of a 30-year veteran, on demand."

According to McLelland, Collide is already building toward reservoir analysis and production optimization, automated regulatory compliance (Railroad Commission filings, W-10s, G-10s), workover report generation, and engineering decision support in the field for near-term use cases. In March, Collide and Texas-based oil and gas operator Winn Resources announced a collaboration to automate the time-intensive process of filing monthly W-10 and G-10 forms with the Texas Railroad Commission, completing what’s normally a multi-hour task in under 30 minutes. Collide reports that Winn’s infrastructure now automates regulatory filings and provides real-time visibility into data gaps, which has reduced processing time by over 95 percent.

“Before Collide, I'd spend hours manually keying in filings,” Buck Crum, director of operations, said in a news release. “(In March), we had 50 wells to file and I was done in 20 minutes. It does the majority of the heavy lifting while keeping me in control. That human-in-the-loop approach saves meaningful time and gives us greater confidence in our compliance and reporting.”

Collide was originally launched by Houston media organization Digital Wildcatters as “a professional network and digital community for technical discussions and knowledge sharing.” After raising $5 million in seed funding led by Houston’s Mercury Fund last year, the company said it would shift its focus to rolling out its enterprise-level, AI-enabled solution.
Merab Momen, founder of AI CTO Services. Courtesy Photo

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

now streaming

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.

UH researchers have developed a thin film that could allow AI chips to run cooler and faster. Photo courtesy University of Houston.

Houston researchers develop energy-efficient film for AI chips

AI research

A team of researchers at the University of Houston has developed an innovative thin-film material that they believe will make AI devices faster and more energy efficient.

AI data centers consume massive amounts of electricity and use large cooling systems to operate, adding a strain on overall energy consumption.

“AI has made our energy needs explode,” Alamgir Karim, Dow Chair and Welch Foundation Professor at the William A. Brookshire Department of Chemical and Biomolecular Engineering at UH, explained in a news release. “Many AI data centers employ vast cooling systems that consume large amounts of electricity to keep the thousands of servers with integrated circuit chips running optimally at low temperatures to maintain high data processing speed, have shorter response time and extend chip lifetime.”

In a report recently published in ACS Nano, Karim and a team of researchers introduced a specialized two-dimensional thin film dielectric, or electric insulator. The film, which does not store electricity, could be used to replace traditional, heat-generating components in integrated circuit chips, which are essential hardware powering AI.

The thinner film material aims to reduce the significant energy cost and heat produced by the high-performance computing necessary for AI.

Karim and his former doctoral student, Maninderjeet Singh, used Nobel prize-winning organic framework materials to develop the film. Singh, now a postdoctoral researcher at Columbia University, developed the materials during his doctoral training at UH, along with Devin Shaffer, a UH professor of civil engineering, and doctoral student Erin Schroeder.

Their study shows that dielectrics with high permittivity (high-k) store more electrical energy and dissipate more energy as heat than those with low-k materials. Karim focused on low-k materials made from light elements, like carbon, that would allow chips to run cooler and faster.

The team then created new materials with carbon and other light elements, forming covalently bonded sheetlike films with highly porous crystalline structures using a process known as synthetic interfacial polymerization. Then they studied their electronic properties and applications in devices.

According to the report, the film was suitable for high-voltage, high-power devices while maintaining thermal stability at elevated operating temperatures.

“These next-generation materials are expected to boost the performance of AI and conventional electronics devices significantly,” Singh added in the release.

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This article originally appeared on our sister site, InnovationMap.

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CenterPoint reports grid resilience updates as hurricane season begins

hurricane readiness

As hurricane season descends upon the region, CenterPoint Energy has shared the latest update on its Greater Houston Resiliency Initiative (GHRI) that’s been working to make grid upgrades and introduce weather-related tech since 2024.

As of April 2026, CenterPoint had:

  • Replaced more than 65,000 poles with stronger storm-resistant infrastructure
  • Trimmed or cleared more than 10,000 miles of vegetation
  • Undergrounded more than 500 miles of power lines
  • Installed more than 600 automation devices
  • Installed more than 150 weather stations

In May, CenterPoint announced its new Community Progress Tracker, which helps residents track electronic infrastructure improvements. In terms of other technology, CenterPoint has announced its partnership with weather, wildfire and flood modeling software Technosylva. The software is expected to help CenterPoint track weather conditions in advance to better prepare crews.

CenterPoint has also added 150 weather stations to improve weather monitoring, conducted a full-scale hurricane response exercise involving more than 400 employees and completed more than 25,000 hours of FEMA training across more than 800 employees. The company opened a new year-round Emergency Operations Center to help coordinate with emergency response partners, local and state officials, and media during major weather events.

“We are proud of the progress made in 2025, which helped deliver more than 100 million fewer outage minutes when compared to 2024, and we are determined to make even more progress in 2026 as we work toward our defining goal: building the nation's most resilient coastal grid,” Nathan Brownell, CenterPoint's vice president of resilience and capital delivery, previously said in a news release.

According to the company, the GHRI aims to improve overall grid resiliency and reliability and to reduce outages for customers. CenterPoint projects its efforts can reduce customer outages by 150 million by the end of 2026.

Energy expert: Why Houston's 100-degree days matter more than 5 years ago

guest column

If you are a Houston native or have lived in the city since the 1980s, you likely remember when a 100-degree day was so rare it made the local news. There were heat advisory warnings, with special attention to the midday hours, because the heat exposure carried with it risks like dehydration, heat stroke and extreme exposure to UV rays.

In this new era for our city and state, 100-degree days are becoming more common. Our local weather forecasters still report on the occurrence, but we are no longer able to restrict our activities as heavily.

The climate has changed rapidly, and Texans are navigating our collective response to the increased heat that has serious implications for our health, energy supply, economy and regional life.

Houston Has Always Been Hot, But This Heat is Different

Houston has expanded exponentially in the last few decades, doubling its population from roughly 1.4 million in 1976 to 2.4 million today. When we account for the growth in the surrounding suburbs, the population boom nearly quintuples.

Houston and the surrounding suburbs now total nearly 7 million people, a huge population increase that brings greater demand for energy. This demand impacts our infrastructure, energy availability, consumer costs, workforce productivity and water supply significantly. With these additions comes more asphalt and fewer trees. With less tree cover and green space, heat gets trapped, increasing temperatures in the city.

We are not just inheriting rising temperatures; we are also building hotter cities.

100-Degree Days and The Texas Grid

I have written before about our grid capacity, changes facing Texas, and the strain that we have seen on the grid. While redundancies in the Texas grid are improving, the pace of this change continues to pose challenges for our area.

The extreme heat has now made air conditioning mandatory for a greater percentage of days during the calendar year. AC units (large and small) are no longer cycling on and off as they are designed to run; instead, most systems are running continuously to meet the needs of Texans.

Daily activities and devices, including remote work, the AI boom, physical exercise, children’s playtime, charging multiple devices, and streaming entertainment, require much more cooling than in previous generations, producing a much larger demand on the grid.

Additionally, the way Houstonians live at home has also changed. Homes across America are much larger on average than they were in the 1980’s. Also, with the rise of remote work, there is a greater need for all-day electricity in each individual household. These factors, combined with the exponential increase in the number of devices and appliances used in households, significantly affect energy demand in our region.

Of course, we’re also seeing massive usage of electricity from large business users (warehouses, data centers, and more), including empty office buildings as return-to-office is slower than expected post-pandemic.

Heat is Not the Only Culprit

As Houston is a coastal city, we not only have to contend with 100-degree temperatures, but humidity also adds an extra layer of complexity to our climate. Thanks to the humidity, temperatures stay elevated for longer periods, meaning everything is retaining heat at a higher rate and for longer than ever before.

The heat never really leaves us anymore, as we don’t have cooler nights to help balance these very hot days. The compounding effect of extreme temperatures and high humidity makes energy demand higher in our region than in places like the New Mexico desert.

Economic Impact on Our Region

Extreme heat hits Texans’ wallets long before a weather alert ever pops up. When temperatures stay above 100 degrees for days at a time, air conditioners are basically working overtime, which sends electricity bills climbing.

And the harder those systems run, the more wear and tear homeowners end up dealing with, usually at the worst possible time, like the middle of July when a boom of AC units decide to quit at once. Meanwhile, roads, transformers and other infrastructure are all under more stress than they were originally built for.

There’s also a much bigger ripple effect that people don’t always think about. When it’s dangerously hot outside, construction crews, energy workers, landscapers, and other outdoor industries simply can’t operate the same way, which slows productivity and raises safety concerns.

Cities are also spending more money on cooling centers and heat-related emergency response, and over time, all of those rising costs have a way of showing up somewhere, whether that’s insurance rates, utility costs or the price communities pay to keep up with extreme weather.

The Opportunity for Houston

Texas is becoming a real-time test case for what happens when extreme heat, rapid growth, and massive energy demand all hit at once. While problematic, it also creates a huge opportunity for Houston and the Texas energy sector to lead. If there’s any place equipped to determine what the future of energy resilience looks like, it’s the city that already powers so much of the world’s energy conversation.

And the solution isn’t just “create more electricity.” It’s about building a smarter, more flexible system overall with better grid technology, battery storage, stronger infrastructure, more efficient building, and energy systems that can handle these extreme weather swings without everything feeling stressed at once. The reality is that a lot of what Texas figures out over the next few years could become the blueprint for other cities and states across the country.

Houston is already testing some of these smarter resilience strategies, such as microgrids, stronger substations, and more flexible energy systems designed to keep critical facilities running during major storms or outages. The goal is simple: build a grid that can take a hit without everything feeling strained all at once.

Going Forward

Hotter days are here to stay. We can’t stop our lives amid the extreme heat, so we have to find ways to adapt and we have to do it quickly. If there’s one thing Texas has always done well, however, it’s innovate under pressure. The communities, companies and energy leaders that move fastest now won’t just be responding to the future, they’ll be helping define it.

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Sam Luna is director at BKV Energy, where he oversees brand and go-to-market strategy, customer experience, marketing execution, and more.

Houston lands 27 Fortune 500 headquarters, led by energy heavyweights

HQ leader

Houston is a giant among U.S. hubs for corporate headquarters.

The 2026 Fortune 500 lists 27 companies based in the Houston area, with many energy companies claiming top spots. Houston ties with Chicago for the second-most Fortune 500 headquarters, preceded only by New York City (53). Dallas-Fort Worth is home to 23 Fortune 500 headquarters.

Texas leads the nation for Fortune 500 headquarters (57), with California in the No. 2 spot and New York at No. 3.

“Texas is the undisputed headquarters of headquarters,” Gov. Greg Abbott said in a news release. “The world’s leading businesses invest with confidence in Texas because of our welcoming business climate, predictable regulatory environment, and skilled and growing workforce. People and businesses are choosing Texas because Texas works.”

The 2026 Fortune 500 ranks the largest U.S. corporations based on revenue in fiscal year 2025.

Here’s a rundown of the 27 Fortune 500 companies based in the Houston area.

  • No. 9 ExxonMobil
  • No. 21 Chevron
  • No. 29 Phillips 66
  • No.55 Sysco
  • No. 75 ConocoPhillips
  • No. 89 Enterprise Products Partners
  • No. 103 Plains GP Holdings
  • No. 133 Hewlett Packard Enterprise
  • No. 149 NRG Energy
  • No. 157 Quanta Services
  • No. 164 Baker Hughes
  • No. 173 Occidental Petroleum
  • No. 179 Waste Management
  • No. 201 EOG Resources
  • No. 204 Group 1 Automotive
  • No. 207 Halliburton
  • No. 223 Cheniere Energy
  • No. 236 Corebridge Financial
  • No. 262 Targa Resources
  • No. 266 Kinder Morgan
  • No. 388 Westlake
  • No. 435 CenterPoint Energy
  • No. 438 APA
  • No. 440 Comfort Systems USA
  • No. 455 NOV
  • No. 488 KBR
  • No. 496 Coterra Energy. Oklahoma City, Oklahoma-based Devon Energy and Houston-based Coterra Energy merged in early May, with the combined company retaining the Devon Energy name and the Houston headquarters.

The Greater Houston Partnership notes the Houston area soon will welcome its 28th Fortune 500 company. Expand Energy (formerly Chesapeake Energy), appearing at No. 362 on the 2026 list, says it’s moving its headquarters from Oklahoma City to Spring this year.

As the natural gas producer prepares to relocate to Texas, it’s hunting for a new leader. Nick Dell’Osso stepped down as president and CEO earlier this year. Board Chairman Michael Wichterich is interim president and CEO.

Dell’Osso became president and CEO of Oklahoma City-based Gulfport Energy effective May 28.