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

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Merab Momen, founder of AI CTO Services. Courtesy Photo

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.

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.

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.

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Houston company tapped to run renewables project with Meta power agreement

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Houston-based Consolidated Asset Management Services (CAMS) has been selected to operate Plano-based Nexus Renewable Power's major renewables development, known as Project Goody.

CAMS will provide comprehensive asset management, operations, maintenance, regulatory compliance and remote operations services for the $220 million solar and battery storage project located in Lamar County, Texas, northeast of Dallas.

“The project underscores CAMS’ commitment to supporting dependable, grid-strengthening energy infrastructure across the United States,” Brian Ivany, EVP of CAMS Renewables, said in a news release. “Our team is proud to support Nexus and excited to apply our subject matter expertise and hands-on approach to ensure operational excellence and long-term success of the Goody project.”

Project Goody, or MRG Goody Solar and Storage, will feature a 172-megawatt solar facility paired with 237 megawatts of battery energy storage. The project will be connected to the ERCOT grid. Meta, the parent company of Facebook, has signed on as the power offtaker for the project.

Nexus Renewable Power develops, finances and operates solar and energy storage assets. It currently operates projects generating 325 megawatts of solar and 350 megawatts of battery storage, with another 300 megawatts of solar and 1 gigawatt of battery storage projects under construction, according to its website. Project Goody is the first in a series of renewable developments underway, according to Nexus.

CAMS manages and operates energy infrastructure assets for its clients. Last year, it added InfraRed Capital Partners, which owns the 202-megawatt Mesteño Wind Project in the Rio Grande Valley, to its customer list. It also rolled out services to help deliver power to meet the growing demand from AI data centers.

Houston-area solar farm to move forward with $394M in construction financing

solar funding

Project SunRope, a 347-megawatt solar project outside of Houston, has landed $394 million in construction financing.

The project, located in Wharton County, about 60 miles outside of Houston, is slated to begin commercial operation in Q3 2027 and aims to support emission reductions, grid reliability and affordability in one of the highest electricity-demand regions in Texas and the U.S. It’s being developed through a joint venture between San Antonio-based OCI Energy and leading Israeli solar company Arava Power. New York-based ING Capital underwrote the financing package.

“The close of construction financing for Project SunRoper represents an important milestone for OCI Energy and our partners,” Sabah Bayatli, resident of OCI Energy, said in a news release. “This transaction reflects our continued commitment to deliver high-quality, utility-scale solar projects that strengthen grid reliability and provide affordable energy infrastructure.”

The construction financing is supported by a 20-year power purchase agreement with a Fortune 100 company, according to the release. Other collaborators include BHI and Bank of Hapoalim, which provided financing support and letters of credit to support the development of the project.

This is the second transaction between OCI Energy and ING, as they previously worked together on financing for the Alamo City Battery Energy Storage System, a 120-megawatt battery energy storage system under development in Bexar County.

“This project exemplifies the high‑quality renewable infrastructure we seek to finance – a strong sponsor partnership, a long‑term contracted revenue profile, and a well‑located asset in one of the most dynamic power markets in the United States,” Sven Wellock, managing director at ING, added in the release. “We are proud to build on our existing relationship with OCI Energy and to partner with Arava Power on its continued expansion in the U.S. market, advancing a project that will deliver reliable, affordable clean energy for years to come.”

OCI Energy operates several utility-scale solar and battery energy storage system projects outside of the San Antonio area, as well as in Georgia and New Jersey. It has five other projects under construction outside of San Antonio and Waco, with more than 20 under development throughout the state.

Energy expert reviews Texas' big strides in winter grid resilience

guest column

Many Houstonians were holding their breath during the hard freezes that occurred in late January. While Winter Storm Uri was five years ago, the massive blackouts remain a fresh memory.

During that storm, 4.5 million Texans lost power, the state suffered over $80 billion in economic losses, and more than 200 people lost their lives.

During the most recent freeze events, Texas did not experience large-scale blackouts across the state like those in 2021. Regional power outages occurred due to infrastructure issues, including ice on trees and power lines. Since Uri, we have not seen the same sustained weather conditions to test the grid, but there have been significant improvements.

What Has Changed Since Uri

The ERCOT grid has changed significantly since the storm in 2021:

Senate Bill 3 required generators to winterize their equipment, treated the natural gas supply chain as critical infrastructure, and imposed fines of up to $1 million for falling short. More than 300 power units have already been weatherized, and regulators have issued clearer standards to help keep the grid running during extreme cold.
There has been significant progress with monitoring the grid and preparing for emergencies. ERCOT has improved in spotting problems before they turn into outages. Operators now have stronger real-time visibility into generator performance and fuel supplies, improved coordination with natural gas providers, and more advanced forecasting tools that help predict energy availability.
The Texas Energy Fund authorized more than $10 billion for reliability projects across the state. The funds support four programs that aim to increase energy generation and dispatch capacity during periods of grid strain.

Signs of Progress

The grid's performance from 2022 to 2026 shows measurable improvements in how the system handles extreme cold.

ERCOT has implemented conservation alerts to help reduce grid load and prevent major blackouts.
Operators monitor the reserve margin, essentially the buffer between supply and demand. When that cushion holds, the grid has more flexibility to keep power flowing.
Stronger coordination between generators, transmission operators and utilities is also improving overall system resilience.

Additionally, Texas has built one of the largest smart-meter networks in the country, enabling better predictive analysis of electricity demand and usage. These smart meters have been installed in 90% of Texas residential homes, providing a much more accurate picture of energy consumption.

Finally, energy companies are helping customers understand how small changes in usage can ease grid strain. Individually, those adjustments may seem minor, but across millions of homes, they can meaningfully lower demand and help reduce the risk of outages.

Remaining Vulnerabilities and Possible Risks

Despite the progress, Grid Strategies assigned the Texas power grid a D-minus rating this year. A major factor in the rating is Texas’s lack of connections to neighboring power grids. While the state earned a B for legislative engagement, delayed transmission projects contributed to a lower C-minus outcome score.

While the grid has become more reliable since 2021, several threats remain that could impede its continued progress.

Population growth remains one of the biggest tests for Texas grid reliability. The state is expected to add roughly 15 million residents over the next three decades.
Data centers, industrial expansion, and corporate relocations continue to drive electricity demand higher. Houston sits at the center of that growth, making it a key region to watch to see whether Texas can keep pace with rising energy needs.
Increased weather volatility in Texas will make demand predictions even more challenging. Currently, Texas supplies almost 45% of its energy needs with natural gas. Natural gas production and extraction are particularly susceptible to cold weather and freezing conditions.

What “No Blackouts” Really Means for Texans

A stronger grid comes with a price tag. Meeting Texas’s growing demand requires major investments in generation, transmission, and emergency preparedness, and those costs ultimately flow to consumers through higher electric bills.

At the same time, Texans are becoming more proactive about managing energy use and protecting against outages, with more homeowners investing in generators, battery storage, and solar as part of long-term energy planning.

Final Thoughts

As lawmakers continue to debate how to recover grid investments, consumers will ultimately bear part of the cost. The challenge moving forward is improving reliability while keeping electricity affordable for Texans.

Texas continues to expand renewable generation to diversify the power mix, and battery storage is quickly becoming a key reliability tool because it can respond almost instantly to demand spikes. At the same time, advanced forecasting technology is helping operators better anticipate grid stress.

The Texas energy market is evolving fast, driven by population growth and rising electricity demand. Lawmakers, regulators, and grid operators will need to stay aligned to keep reliability moving in the right direction, while consumers will play a bigger role in managing how and when they use electricity.

So, is Texas better prepared for winter today? In many ways, yes. But the grid is still vulnerable to extreme weather and rapid demand growth. Maintaining reliability will require continued investment, planning, and coordination to keep the lights on across the state.

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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.

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