Everyone tells you to move fast and break things. In clean energy, moving fast without structural integrity means breaking the only planet we’ve got. This is the founder's paradox: you are building a company in an industry where the stakes are existential, the timelines are glacial, and the capital requires patience.
The myth of the lone genius in a garage doesn’t really apply here. Clean energy startups aren’t just fighting competitors. They are fighting physics, policy, and decades of existing infrastructure. This isn’t an app. You’re building something physical that has to work in the real world. It has to be cheaper, more reliable, and clearly better than fossil fuels. Being “green” alone isn’t enough. Scale is what matters.
Your biggest risks aren’t competitors. They’re interconnection delays, permitting timelines, supply chain fragility, and whether your first customer is willing to underwrite something that hasn’t been done before.
That reality creates a brutal filter. Successful founders in this space need deep technical knowledge and the ability to execute. You need to understand engineering, navigate regulation, and think in terms of markets and risk. You’re not just selling a product. You’re selling a future where your solution becomes the obvious choice. That means connecting short-term financial returns with long-term system change.
The capital is there, but it’s smarter and more demanding. Investors today have PhDs in electrochemistry and grid dynamics. They’ve been burned by promises of miracle materials that never left the lab. They don't fund visions; they fund pathways to impact that can scale and make financial sense. Your roadmap must show not just a brilliant invention, but a clear, believable plan to drive costs down over time.
Capital in this sector isn’t impressed by ambition alone. It wants evidence that risk is being retired in the right order — even if that means slower growth early.
Here’s the upside. The difficulty of clean energy is also its strength. If you succeed, your advantage isn’t just in software or branding. It’s in hardware, supply chains, approvals, and years of hard work that others can’t easily copy. Your real competitors aren’t other startups. They’re inertia and the existing system. Winning here isn’t zero-sum. When one solution scales, it helps the entire market grow.
So, to the founder in the lab, or running field tests at a remote site: your pace will feel slow. The validation cycles are long. But you are building in the physical world. When you succeed, you don’t have an exit. You have a foundation. You don't just have customers; you have converts. And the product you ship doesn't just generate revenue; it creates a legacy.
If your timelines feel uncomfortable compared to software, that’s because you’re operating inside a system designed to resist change. And let’s not forget you are building actual physical products that interact with a complex world. Times are tough. Don’t give up. We need you.
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Nada Ahmedis the founding partner at Houston-based Energy Tech Nexus.
Corrosion is not something most people think about, but for Houston's industrial backbone pipelines, refineries, chemical plants, and water infrastructure, it is a silent and costly threat. Replacing damaged steel and overusing chemicals adds hundreds of millions of tons of carbon emissions every year. Despite the scale of the problem, corrosion detection has barely changed in decades.
In a recent episode of the Energy Tech Startups Podcast, Anwar Sadek, founder and CEO of Corrolytics, explained why the traditional approach is not working and how his team is delivering real-time visibility into one of the most overlooked challenges in the energy transition.
From Lab Insight to Industrial Breakthrough
Anwar began as a researcher studying how metals degrade and how microbes accelerate corrosion. He quickly noticed a major gap. Companies could detect the presence of microorganisms, but they could not tell whether those microbes were actually causing corrosion or how quickly the damage was happening. Most tests required shipping samples to a lab and waiting months for results, long after conditions inside the asset had changed.
That gap inspired Corrolytics' breakthrough. The company developed a portable, real-time electrochemical test that measures microbial corrosion activity directly from fluid samples. No invasive probes. No complex lab work. Just the immediate data operators can act on.
“It is like switching from film to digital photography,” Anwar says. “What used to take months now takes a couple of hours.”
Why Corrosion Matters in Houston's Energy Transition
Houston's energy transition is a blend of innovation and practicality. While the world builds new low-carbon systems, the region still depends on existing industrial infrastructure. Keeping those assets safe, efficient, and emission-conscious is essential.
This is where Corrolytics fits in. Every leak prevented, every pipeline protected, and every unnecessary gallon of biocide avoided reduces emissions and improves operational safety. The company is already seeing interest across oil and gas, petrochemicals, water and wastewater treatment, HVAC, industrial cooling, and biofuels. If fluids move through metal, microbial corrosion can occur, and Corrolytics can detect it.
Because microbes evolve quickly, slow testing methods simply cannot keep up. “By the time a company gets lab results, the environment has changed completely,” Anwar explains. “You cannot manage what you cannot measure.”
A Scientist Steps Into the CEO Role
Anwar did not plan to become a CEO. But through the National Science Foundation's ICorps program, he interviewed more than 300 industry stakeholders. Over 95 percent cited microbial corrosion as a major issue with no effective tool to address it. That validation pushed him to transform his research into a product.
Since then, Corrolytics has moved from prototype to real-world pilots in Brazil and Houston, with early partners already using the technology and some preparing to invest. Along the way, Anwar learned to lead teams, speak the language of industry, and guide the company through challenges. “When things go wrong, and they do, it is the CEO's job to steady the team,” he says.
Why Houston
Relocating to Houston accelerated everything. Customers, partners, advisors, and manufacturing talent are all here. For industrial and energy tech startups, Houston offers an ecosystem built for scale.
What's Next
Corrolytics is preparing for broader pilots, commercial partnerships, and team growth as it continues its fundraising efforts. For anyone focused on asset integrity, emissions reduction, or industrial innovation, this is a company to watch.
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.
Planckton Data co-founders were recently featured on Energy Tech Startups Podcast. Courtesy photo
There’s a reason “carbon footprint” became a buzzword. It sounds like something we should know. Something we should measure. Something that should be printed next to the calorie count on a label.
But unlike calories, a carbon footprint isn’t universal, standardized, or easy to calculate. In fact, for most companies—especially in energy and heavy industry—it’s still a black box.
That’s the problem Planckton Data is solving.
On this episode of the Energy Tech Startups Podcast, Planckton Data co-founders Robin Goswami and Sandeep Roy sit down to explain how they’re turning complex, inconsistent, and often incomplete emissions data into usable insight. Not for PR. Not for green washing. For real operational and regulatory decisions.
And they’re doing it in a way that turns sustainability from a compliance burden into a competitive advantage.
From calories to carbon: The label analogy that actually works
If you’ve ever picked up two snack bars and compared their calorie counts, you’ve made a decision based on transparency. Robin and Sandeep want that same kind of clarity for industrial products.
Whether it’s a shampoo bottle, a plastic feedstock, or a specialty chemical—there’s now consumer and regulatory pressure to know exactly how sustainable a product is. And to report it.
But that’s where the simplicity ends.
Because unlike food labels, carbon labels can’t be standardized across a single factory. They depend on where and how a product was made, what inputs were used, how far it traveled, and what method was used to calculate the data.
Even two otherwise identical chemicals—one sourced from a refinery in Texas and the other in Europe—can carry very different carbon footprints, depending on logistics, local emission factors, and energy sources.
Planckton’s solution is built to handle exactly this level of complexity.
AI that doesn’t just analyze
For most companies, supply chain emissions data is scattered, outdated, and full of gaps.
That’s where Planckton’s use of AI becomes transformative.
It standardizes data from multiple suppliers, geographies, and formats.
It uses probabilistic models to fill in the blanks when suppliers don’t provide details.
It applies industry-specific product category rules (PCRs) and aligns them with evolving global frameworks like ISO standards and GHG Protocol.
It helps companies model decarbonization pathways, not just calculate baselines.
This isn’t generative AI for show. It’s applied machine learning with a purpose: helping large industrial players move from reporting to real action.
And it’s not a side tool. For many of Planckton’s clients, it’s becoming the foundation of their sustainability strategy.
From boardrooms to smokestacks: Where the pressure is coming from
Planckton isn’t just chasing early adopters. They’re helping midstream and upstream industrial suppliers respond to pressure coming from two directions:
Downstream consumer brands—especially in cosmetics, retail, and CPG—are demanding footprint data from every input supplier.
Upstream regulations—especially in Europe—are introducing reporting requirements, carbon taxes, and supply chain disclosure laws.
The team gave a real-world example: a shampoo brand wants to differentiate based on lower emissions. That pressure flows up the value chain to the chemical suppliers. Who, in turn, must track data back to their own suppliers.
It’s a game of carbon traceability—and Planckton helps make it possible.
Why Planckton focused on chemicals first
With backgrounds at Infosys and McKinsey, Robin and Sandeep know how to navigate large-scale digital transformations. They also know that industry specificity matters—especially in sustainability.
So they chose to focus first on the chemicals sector—a space where:
Supply chains are complex and often opaque.
Product formulations are sensitive.
And pressure from cosmetics, packaging, and consumer brands is pushing for measurable, auditable impact data.
It’s a wedge into other verticals like energy, plastics, fertilizers, and industrial manufacturing—but one that’s already showing results.
Carbon accounting needs a financial system
What makes this conversation unique isn’t just the product. It’s the co-founders’ view of the ecosystem.
They see a world where sustainability reporting becomes as robust as financial reporting. Where every company knows its Scope 1, 2, and 3 emissions the way it knows revenue, gross margin, and EBITDA.
But that world doesn’t exist yet. The data infrastructure isn’t there. The standards are still in flux. And the tooling—until recently—was clunky, manual, and impossible to scale.
Planckton is building that infrastructure—starting with the industries that need it most.
Houston as a launchpad (not just a legacy hub)
Though Planckton has global ambitions, its roots in Houston matter.
The city’s legacy in energy and chemicals gives it a unique edge in understanding real-world industrial challenges. And the growing ecosystem around energy transition—investors, incubators, and founders—is helping companies like Planckton move fast.
“We thought we’d have to move to San Francisco,” Robin shares. “But the resources we needed were already here—just waiting to be activated.”
The future of sustainability is measurable—and monetizable
The takeaway from this episode is clear: measuring your carbon footprint isn’t just good PR—it’s increasingly tied to market access, regulatory approval, and bottom-line efficiency.
And the companies that embrace this shift now—using platforms like Planckton—won’t just stay compliant. They’ll gain a competitive edge.
Listen to the full conversation with Planckton Data on the Energy Tech Startups Podcast:
Hosted by Jason Ethier and Nada Ahmed, the Digital Wildcatters’ podcast, Energy Tech Startups, delves into Houston's pivotal role in the energy transition, spotlighting entrepreneurs and industry leaders shaping a low-carbon future.
Yao Huang is the guest on the latest episode of the Energy Tech Startups Podcast. Courtesy photo
The climate conversation is evolving — fast. It’s no longer just about emissions targets and net-zero commitments. It’s about capital, infrastructure, and execution at industrial scale.
That’s exactly where Yao Huang operates. A seasoned tech entrepreneur turned climate investor, Yao brings sharp clarity to one of the biggest challenges in climate innovation: how do we fund and scale technologies that remove carbon without relying on goodwill or government subsidies?
In this episode of the Energy Tech Startups Podcast, Yao sits down with hosts Jason Ethier and Nada Ahmed for a wide-ranging conversation that redefines how we think about decarbonization. From algae-based photobioreactors that capture CO₂ at the smokestack, to financing models that mirror real estate and infrastructure—not venture capital—Yao lays out a case for why the climate fight will be won or lost on spreadsheets, not slogans.
Her message is as bold as it is practical: this isn’t about saving the planet for the sake of it. It’s about building profitable, resilient systems that scale. And Houston, with its industrial base and project finance expertise, is exactly the place to do it.
The 40-Gigaton Challenge—and a Pandemic Pivot
Yao’s entry into climate wasn’t part of a long-term plan. It was sparked by a quiet moment during the pandemic—and a book.
Reading How to Avoid a Climate Disaster by Bill Gates, she came to two uncomfortable realizations:
The people in power don’t actually have this figured out, and
She would be alive to suffer the consequences.
That insight jolted her out of the traditional tech world and into climate action. She studied at Stanford, surrounded herself with mentors, and began diving into early-stage climate deals. But she quickly realized that most of the solutions she was seeing were still years away from commercialization.
So she narrowed her focus: no R&D moonshots, no science experiments—just deployable solutions that could scale now.
Carbon Optimum: Where Algae Meets Infrastructure
That’s how she found Carbon Optimum, a company using algae photobioreactors to remove CO₂ directly from industrial emissions. Their approach is both elegant and economic:
Install algae reactors next to major emitters like coal and cement plants.
Feed the algae with flue gas, allowing it to absorb CO₂ in a controlled system.
Harvest the algae and convert it into valuable commodities like bio-oils, fertilizer, and food ingredients.
It’s a nature-based solution, enhanced by engineering. One acre of tanks can capture emissions and generate profit—without subsidies.
“This is one of the few solutions I’ve seen that can scale profitably and quickly,” Yao says. “And we’re not inventing anything new—we’re just doing it better.”
The Real Problem? It’s Capital, Not Carbon
As an investor, Yao is blunt: most climate startups are misaligned with the capital markets.
They’re following a tech startup playbook—built for SaaS, not steel. But building climate infrastructure requires a completely different approach: project finance, blended capital, debt structures, carbon credit integration, and regulatory incentives.
“Climate tech is more like real estate or healthcare than software,” Yao explains. “You don’t raise six rounds of venture. You build a stack—grants, equity, debt, tax credits—and you structure your project like infrastructure.”
It’s not just theory. It’s exactly how Carbon Optimum is expanding—through partnerships, offtake agreements, and real-world deployments. And it’s why she believes many climate startups fail: they don’t speak the language of finance.
Houston’s Role in the Climate Capital Stack
For Yao, Houston isn’t just a backdrop—it’s a strategic asset.
The city’s deep bench of project finance professionals, commodity traders, lawyers, and infrastructure veterans makes it uniquely positioned to lead the deployment phase of climate solutions.
“We’ve been calling it the wrong thing,” she says. “This isn’t just about climate—it’s an energy transition. And Houston knows how to build energy infrastructure at scale.”
Still, she notes, the ecosystem needs to evolve. Less education, more execution. Fewer workshops, more closers.
“Houston could be the epicenter of this movement—if we activate the right people and get the right projects over the line.”
From Carbon Capture to Circular Economies
The potential applications of Carbon Optimum’s algae platform go beyond carbon capture. Because the output—algae biomass—can be converted into:
Renewable oil
High-efficiency fertilizers (critical in today’s geopolitically fragile supply chains)
Food ingredients rich in protein and nutrients
Even biochar, a highly stable form of carbon sequestration
It’s scalable, modular, and location-agnostic. In island nations, Yao notes, these systems can offer energy independence by turning waste CO₂ into local energy and fertilizer—without needing to import fuels or food.
“It’s not just emissions reduction. It’s economic sovereignty through circular systems.”
Doing, Not Just Talking
One of Yao’s key takeaways for founders? Don’t waste time. Climate startups don’t have the luxury of trial-and-error cycles stretched over years.
“Founders need to get real about what it takes to scale: talent, capital, storytelling, partnerships. If you’re not ready to do that, maybe you should be a CSO, not a CEO.”
She also points out that founders don’t need to hire everyone—they need to tap the right networks. And in cities like Houston, those networks exist—if you know how to motivate them.
“It takes a different kind of leadership. You’re not just raising money—you’re moving people.”
Why This Episode Matters
This conversation is for anyone who’s serious about scaling real solutions to the climate crisis. Whether you’re a founder navigating capital markets, an investor seeking return and impact, or a policymaker designing the frameworks — Yao Huang offers a grounded, urgent, and actionable perspective.
It’s not about hope. It’s about execution.
Listen to the full episode of the Energy Tech Startups Podcast with Yao Huang:
-- Hosted by Jason Ethier and Nada Ahmed, the Digital Wildcatters’ podcast, Energy Tech Startups, delves into Houston's pivotal role in the energy transition, spotlighting entrepreneurs and industry leaders shaping a low-carbon future.
Stephen Ojji is rethinking workplace safety. Courtesy photo
Workplace safety has always been reactive. Incidents happen, reports are filed, lessons are learned — sometimes too late. But what if safety wasn’t about reacting to accidents, but preventing them altogether?
In this episode of the Energy Tech Startups Podcast, Stephen Ojji, founder and CEO of VisionTech, challenges how high-hazard industries approach safety. His vision? AI-driven incident detection that doesn’t just monitor the workplace —i t actively prevents injuries, ensures compliance, and builds a stronger safety culture.
From Oil and Gas Safety to AI Innovation
Stephen’s journey into energy tech isn’t what you’d expect. Starting as a safety engineer in Nigeria’s oil and gas sector, his early career was focused on ensuring compliance, training teams, and reducing workplace risks. But he quickly realized a flaw in the system — many incidents weren’t being reported at all.
"Workers don’t always report hazards, and not because they don’t care," he explains. "Sometimes it’s fear of consequences. Sometimes it’s just human nature — we’re focused on getting the job done. But ignoring small risks leads to big accidents."
That’s where VisionTech’s AI-powered safety monitoring system comes in. Instead of relying on human reporting, VisionTech integrates with existing workplace cameras, using computer vision technology and AI to detect:
Spills, fire hazards, and safety violations in real-time
Workers at risk of injury due to incorrect lifting techniques or missing PPE
Trends in safety culture, helping companies address recurring risks
"Think of it like having an extra set of eyes that never blinks," Stephen says. "Not to police workers, but to protect them."
AI and Safety: Moving Beyond Compliance to Prevention
Unlike traditional workplace monitoring, VisionTech’s AI safety system doesn’t track individuals — it tracks behaviors. The system uses ghosting technology, ensuring that workers’ identities remain anonymous while hazards are flagged instantly.
This shifts the focus from penalizing mistakes to empowering safer work environments.
"Companies say they care about safety, but what does that really mean?" Stephen challenges. "If safety is the priority, why not use every tool available to protect workers before an accident happens?"
And here’s the kicker: VisionTech doesn’t just detect risks. It helps companies act on them.
Instead of logging safety incidents in spreadsheets that go unread, the system transforms safety data into actionable insights — identifying patterns, trends, and areas for improvement that help companies make real, lasting changes.
Why Now? The Urgency for Smarter Safety Solutions
With OSHA regulations tightening and ESG commitments pushing for stronger worker protections, industrial companies are under growing pressure to do more than just meet compliance standards.
At the same time, AI and machine learning have advanced rapidly, making AI-powered safety monitoring more affordable, scalable, and accurate than ever before.
"If we had tried to build this 10 years ago, it wouldn’t have worked," Stephen admits. "The technology wasn’t ready. The market wasn’t ready. But today? It’s the right time, and the right tool for a problem that’s been ignored for too long."
What’s Next for VisionTech?
Currently in the MVP stage, VisionTech is preparing for pilot programs with oil and gas companies to prove its impact in real-world environments. The plan? Scale beyond oil and gas into manufacturing, construction, and any industry where safety matters.
But for Stephen, this isn’t just about launching another safety product — it’s about changing how companies think about protecting their workers.
"Safety isn’t just a compliance box to check," he says. "It’s about people. If companies really believe that ‘our employees are our greatest asset,’ then investing in their safety should be the easiest decision they ever make."
This is a conversation you don’t want to miss.
See the full episode with Stephen Ojji on the Energy Tech Startups Podcast below, or click here to listen.
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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.
Amperon CEO Sean Kelly discuss the AI revolution in energy forecasting. Photo via LinkedIn
“Forecasting isn’t just about demand anymore—it’s about net demand, accounting for the variability of renewables like wind and solar.”
This insight from Sean Kelly, co-founder and CEO of Amperon, captures the seismic shift occurring in energy forecasting. With renewables surging, grid dynamics growing more complex, and demand more unpredictable than ever, the stakes have never been higher.
On a recent Energy Tech Startups Podcast, Kelly breaks down how Amperon’s AI-driven platform is transforming the way energy providers anticipate demand, mitigate risk, and embrace renewables. Named one of the Top 50 AI Companies in the U.S. by Andreessen Horowitz, Amperon is pushing the boundaries of what’s possible in energy technology.
Here’s a closer look at Kelly’s journey, the challenges he’s tackling, and the insights driving Amperon’s success.
What problem is Amperon solving?
Why does the energy sector need better forecasting now?
The energy grid is evolving at lightning speed. With 25 gigawatts of wind and 20 gigawatts of solar in Texas alone, the focus has shifted from simple demand forecasting to net demand forecasting. It’s not just about predicting how much electricity people will use—it’s about understanding how renewables will interact with that demand.
For example, if it’s a windy day in Texas, prices drop, and the grid behaves very differently. Accurate forecasting helps providers mitigate risk, plan ahead, and prevent costly errors in buying or selling electricity.
The Amperon approach: Why AI is essential
What sets Amperon’s technology apart?
Our models retrain every hour—not every month or even daily. Since launching in 2018, we’ve been continuously learning and adapting to the grid’s behavior. This is critical because the energy sector’s complexity is increasing every day.
We also leverage data from over 10 million meters across the U.S. and Europe, giving us unmatched insights into both individual assets and entire markets. Our tech isn’t about static solutions; it’s dynamic, evolving alongside the grid.
Building for scale: A strategic playbook
How has Amperon scaled from a Houston startup to a global player?
It starts with focus. We began with a clear problem: helping Texas retailers manage risk in a deregulated market. From there, we expanded into other customer segments—traders, public utilities, independent power producers, and more.
Partnerships have been key, too. For example, Microsoft has been instrumental in connecting us with utilities through the Azure marketplace. These collaborations not only enhance credibility but also streamline access to new customers.
The Case for Better AI in Energy
Kelly believes the energy industry is overdue for a technological overhaul. While legacy companies rely on outdated models, Amperon is built on cloud-native AI systems that can handle today’s complexity.
“The challenge isn’t just predicting demand—it’s adapting to constant change,” Kelly says. “Legacy systems weren’t built for this level of complexity. AI that learns every hour is no longer optional—it’s essential.”
Lessons for Entrepreneurs
Stay Customer-Centric: Amperon’s early success came from solving a clear, urgent need for Texas energy retailers. “Product-market fit is everything,” Kelly emphasizes.
Invest in Talent: By hiring data scientists from top companies like Google and Meta, Amperon has built a team capable of tackling the hardest problems.
Leverage Partnerships: Collaborations with players like Microsoft have amplified Amperon’s reach and trust in the market.
What’s next for Amperon?
With over $30 million raised and a rapidly growing global presence, Amperon is doubling down on innovation. The company plans to expand its asset-level forecasting capabilities and deepen its presence in international markets.
“The energy transition is running through Houston,” Kelly says. “This city has the talent, the capital, and the expertise to lead the way.”
Listen to the full episode with Sean Kelly on the Energy Tech Startups Podcast
here.
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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.
Data centers are proving to be a massive economic force in Texas.
For instance, a new report from clean energy company Bloom Energy predicts Texas will see a 142 percent increase in its market share for data centers from 2025 to 2028. That would be the highest increase of any state.
Bloom Energy expects Texas to exceed 40 gigawatts of data-center capacity by 2028, representing a nearly 30 percent share of the U.S. market. A typical AI data center consumes 1 to 2 gigawatts of energy.
“Data center and AI factory developers can’t afford delays,” Natalie Sunderland, Bloom Energy’s chief marketing officer, said in the report. “Our analysis and survey results show that they’re moving into power‑advantaged regions where capacity can be secured faster — and increasingly designing campuses to operate independently of the grid.”
“The surge in AI demand creates a clear opportunity for states that can adapt to support large-scale AI deployments at speed,” Sunderland adds.
Further evidence of the data center explosion in Texas comes from ConstructConnect, a provider of data and software for contractors and manufacturers. ConstructConnect reported that in the 12-month span through November 2025, data-center construction starts in Texas accounted for $11 billion in spending. At $12.5 billion, only Louisiana surpassed the Texas total.
ConstructConnect also reports that Texas is among five states collectively grabbing 80 percent of potential data center construction starts. Currently, Texas hosts around 400 data centers, with close to 60 of them in the Houston market.
A large pool of data-center construction spending in Texas is flowing from Google, which announced in November that it would earmark $40 billion for new AI data centers in the state.
“Texas leads in AI and tech innovation,” Gov. Greg Abbott proclaimed when the Google investment was unveiled.
Other studies and reports lay out just how much data centers are influencing economic growth in the Lone Star State:
A study by Texas Royalty Brokers indicates Texas leads the U.S. with 17 clusters of AI data centers. The study measured the density of AI data centers by counting the number of graphics processing units (GPUs) installed in those clusters. GPUs are specialized chips built to run AI models and perform complex calculations.
Citing data from construction consulting company FMI, The Wall Street Journal reported that spending on construction of data centers is expected to rise 23 percent in 2026 compared with last year. Much of that construction spending will happen in Texas. In the 12 months through November 2025, the average data center cost $597 million, according to ConstructConnect.
Data published in 2025 by commercial real estate services company Cushman & Wakefield shows three Texas markets — Austin, Dallas and San Antonio — boast the lowest construction costs for data centers among the 19 U.S. markets that were analyzed. The mid-range of costs in that trio of markets is roughly $10.65 million per megawatt. Houston isn’t included in the data.
Although Houston isn’t cited in the Cushman & Wakefield data, it nonetheless is playing a major role in the data-center boom. Houston-area energy giants Chevron and ExxonMobil are chasing opportunities to supply natural gas as a power source for data centers, for example.
“As Houston rapidly evolves into a hub for AI, cloud computing, and data infrastructure, the city is experiencing a surge in data-center investments driven by its unique position at the intersection of energy, technology, and innovation,” says the Greater Houston Partnership.
The new projects will include one wind and two solar projects in Texas.
“The continued growth of our relationship with Ares reflects the strength of ENGIE’s portfolio of assets and our track record of delivering, operating and financing growth in the U.S. despite challenging circumstances,” Dave Carroll, CEO and Chief Renewables Officer of ENGIE North America, said in a news release. “The addition of another 730 MW of generation to our existing relationship reflects the commitment both ENGIE and Ares have to meeting growing demand for power in the U.S. and our willingness to invest in meeting those needs.”
ENGIE has more than 11 gigawatts of renewable energy projects in operation or under construction in the U.S. and Canada, and 52.7 gigawatts worldwide. The company is targeting 95 gigawatts by 2030.
The company's 600-megawatt Swenson Ranch Solar project near Abilene, Texas, is expected to go online in 2027 and will provide power for Meta, the parent company of social media platform Facebook. Late last year, ENGIE also signed a nine-year renewable energy supply agreement with AstraZeneca to support the pharmaceutical company’s manufacturing operations from its 114-megawatt Tyson Nick Solar Project in Lamar County, Texas.
Houston-based geothermal energy startup Sage Geosystems has closed its Series B fundraising round and plans to use the money to launch its first commercial next-generation geothermal power generation facility.
Ormat Technologies and Carbon Direct Capital co-led the $97 million round, according to a press release from Sage. Existing investors Exa, Nabors, alfa8, Arch Meredith, Abilene Partners, Cubit Capital and Ignis H2 Energy also participated, as well as new investors SiteGround Capital and The UC Berkeley Foundation’s Climate Solutions Fund.
The new geothermal power generation facility will be located at one of Ormat Technologies' existing power plants. The Nevada-based company has geothermal power projects in the U.S. and numerous other countries around the world. The facility will use Sage’s proprietary pressure geothermal technology, which extracts geothermal heat energy from hot dry rock, an abundant geothermal resource.
“Pressure geothermal is designed to be commercial, scalable and deployable almost anywhere,” Cindy Taff, CEO of Sage Geosystems, said in the news release. “This Series B allows us to prove that at commercial scale, reflecting strong conviction from partners who understand both the urgency of energy demand and the criticality of firm power.”
Sage reports that partnering with the Ormat facility will allow it to market and scale up its pressure geothermal technology at a faster rate.
“This investment builds on the strong foundation we’ve established through our commercial agreement and reinforces Ormat’s commitment to accelerating geothermal development,” Doron Blachar, CEO of Ormat Technologies, added in the release. “Sage’s technical expertise and innovative approach are well aligned with Ormat’s strategy to move faster from concept to commercialization. We’re pleased to take this natural next step in a partnership we believe strongly in.”
In 2024, Sage agreed to deliver up to 150 megawatts of new geothermal baseload power to Meta, the parent company of Facebook. At the time, the companies reported that the project's first phase would aim to be operating in 2027.
The company also raised a $17 million Series A, led by Chesapeake Energy Corp., in 2024.
