If we can channel the same sense of urgency and public commitment toward climate change as we did for health crises in the past, climate tech could overcome its current obstacles. Photo via Getty Images

Over the past several decades, climate tech has faced numerous challenges, ranging from inconsistent public support to a lack of funding from cautious investors. While grassroots organizations and climate innovators have made notable efforts to address urgent environmental issues, we have yet to see large-scale, lasting impact.

A common tendency is to compare climate tech to the rapid advancements made in digital and software technology, but perhaps a more appropriate parallel is the health tech sector, which encountered many of the same struggles in its early days.

Observing the rise of health tech and the economic and political support it received, we can uncover strategies that could stabilize and propel climate tech forward.

Health tech's slow but steady rise

Health tech’s slow upward trajectory began in the mid-20th century, with World War II serving as a critical turning point for medical research and development. Scientists working on wartime projects recognized the broader benefits of increased research funding for the general public, and soon after, the Public Health Service Act of 1944 was passed. This landmark legislation directed resources toward eradicating widespread diseases, viewing them as a national economic threat. By acknowledging diseases as a danger to both public health and the economy, the government laid the groundwork for significant policy changes.

This serves as an essential lesson for climate tech: if the federal government were to officially recognize climate change as a direct threat to the nation’s economy and security, it could lead to similar shifts in policy and resource allocation.

The role of public advocacy and federal support

The growth of health tech wasn’t solely reliant on government intervention. Public advocacy played a key role in securing ongoing support. Voluntary health agencies, such as the American Cancer Society, lobbied for increased funding and spread awareness, helping to attract public interest and investment. But even with this advocacy, early health tech startups struggled to secure venture capital. VCs were hesitant to invest in areas they didn’t fully understand, and without sustained government funding and public backing, it’s unlikely that health tech would have grown as quickly as it has.

The lesson here for climate tech is clear: strong public advocacy and education are crucial. However, unlike health tech, climate tech faces a unique obstacle — there is still a significant portion of the population that either denies the existence of climate change or doesn’t view it as an immediate concern. This lack of urgency makes it difficult to galvanize the public and attract the necessary long-term investment.

Government support: A mixed bag

There have been legislative efforts to support climate tech, though they haven’t yet led to the explosive growth seen in health tech. For example, the Federal Technology Transfer Act of 1986 and the Bayh-Dole Act of 1980 gave universities and small businesses the rights to profit from their innovations, including climate-related research. More recently, the Inflation Reduction Act (IRA) of 2022 has been instrumental in advancing climate tech by creating opportunities to build projects, lower household energy costs, and reduce greenhouse gas emissions.

Despite this federal support, many climate tech companies are still struggling to scale. A primary concern for investors is the longer time horizon required for climate startups to yield returns. Scalability is crucial — companies must demonstrate how they will grow profitably over time, but many climate tech startups lack practical long-term business models.

As climate investor Yao Huang put it, “At the end of the day, a climate tech company needs to demonstrate how it will make money. We can apply political pressure and implement governmental policies, but if it is not profitable, it won’t scale or create meaningful impact.”

The public’s role in scaling climate tech

Health tech’s success can largely be attributed to a combination of federal funding, public advocacy, and long-term investment from knowledgeable VCs. Climate tech has federal support in place, thanks to the IRA, but is still lacking the same level of public backing. Health tech overcame its hurdles when public awareness about the importance of medical advancements grew, and voluntary health agencies helped channel donations toward research and innovation.

In contrast, climate nonprofits like Cool Earth, Environmental Defense Fund, and Clean Air Task Force face a severe funding shortfall. A 2020 study revealed that climate nonprofits aiming to reduce greenhouse gas emissions only received $2 billion in donations, representing just 0.4% of all philanthropic funding. Without greater public awareness/sense of urgency and financial support, these groups cannot effectively advocate for climate tech startups or lobby for necessary policy changes. This type of philanthropic funding is also known as ‘catalytic capital’ or ‘impact-first-capital’. Prime Impact Fund is one such fund that does not ‘view investments as concessionary on return’. Rather their patient and flexible capital allows support of high risk, high-reward ventures.

A path forward for climate tech

The most valuable insight from health tech’s growth is that government intervention, while critical, is not enough to guarantee the success of an emerging sector. Climate tech needs a stronger support system, including informed investors, widespread public backing, and nonprofits with the financial resources to advocate for industry-wide growth.

If we can channel the same sense of urgency and public commitment toward climate change as we did for health crises in the past, climate tech could overcome its current obstacles.The future of climate tech depends not just on government policies, but on educating the public, rallying financial support, and building a robust infrastructure for long-term growth.

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Nada Ahmed is the founding partner at Houston-based Energy Tech Nexus, a startup hub for the energy transition.

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Houston researchers land four projects in DOE's Genesis Mission

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The U.S. Department of Energy has named the nearly 300 projects selected under the Trump Administration's Genesis Mission, which aims to address some of the largest science and technology challenges in the country. The group features four projects from Houston universities and companies.

The initiative aims to unite government, industry, academia and philanthropy to lead to breakthroughs in energy, scientific discovery and national security, according to a release.

The selected projects feature 87 led by DOE and National Nuclear Security Administration (NNSA) National Laboratories, 168 led by universities, 19 led by companies and 4 led by nonprofit organizations—totalling 342 participating institutions.

“America has no shortage of bold ideas or talented scientists, and the response to the Genesis Mission proves that,” U.S. Secretary of Energy Chris Wright said in a news release. “The 278 projects selected today represent the very best of our nation’s scientific enterprise. The remarkable number of high-quality proposals we received demonstrates that America’s innovation pipeline is strong, and it points to even greater opportunities for future investment and continued expansion of the Genesis Mission portfolio.”

Twelve Texas-based projects were selected among the 278. The Houston projects and their researchers include:


Caroline Ajo-Franklin

Ajo-Franklin recieved a Phase I grant for her project "Predictive AI to Map Point Mutation Effects on Protein Function: Measurement and Biosynthesis of Isoprenoids." Ajo-Franklin is a professor of biosciences at Rice University, a CPRIT Scholar in Cancer Research and member of the Rice Synthetic Biology Institute. The project aims to accelerate the engineering of microbes that can produce isoprenoids, which are natural compounds that could replace petroleum-derived fuels, solvents and materials.

“This project creates a continuous feedback loop in which AI guides experiments and each experiment generates more detailed data to better hone the AI model,” Ajo-Franklin said in a news release. “In addition, it demonstrates the extraordinary star power Rice has recruited in protein engineering and synthetic biology.”

Anastasios Kyrillidis

Kyrillidis recived a Phase I grant for his project "Cracking the VQA Optimization Bottleneck: AI Methods for Quantum Chemistry and Materials." Kyrillidis is the Noah Harding Associate Professor of Computer Science at Rice and a member of the Ken Kennedy Institute. The project aims to develop AI tools to resolve bottlenecks in quantum computing for chemistry and materials research.

“Our goal is to replace fragile, hand-tuned optimization methods with intelligent systems that can learn from quantum computations while still operating within frameworks that provide strong mathematical guarantees,” Kyrillidis added in the release.

Myoungkyu Lee

Lee received a nearly $750,000 Phase I grant for his project "Physics-Informed AI Surrogates for Turbulent Forced Convection in Energy System." Lee is an assistant professor of mechanical aerospace engineering at the University of Houston. Lee will collaborate with researchers from Lawrence Livermore National Laboratory and University of Pennsylvania on the project and develop artificial intelligence to accelerate the design of materials for advanced nuclear fission and fusion reactors.

“The goal is to develop a tool that runs much faster than today’s most detailed simulations while keeping errors small,” Lee said in a news release. “If successful, the approach could support better heat-transfer predictions for molten-salt reactor design and provide a starting point for studying heat removal in fusion blankets. This is one contribution among many toward reliable, carbon-free energy.”

Amit Padhi

Padhi recieved a grant for his project "Probabilistic Inference of Subsurface Fracture Connectivity for Stimulation Control with Physics-Informed AI." Padhi is a scientific advisor for Halliburton.

The DOE first called for applications for the Genesis Mission in March. At the time, the DOE shared that it would grant approximately $293 million to the selected teams via Phase I awards, ranging from $500,000 to $750,000 for nine-month project periods, and Phase II awards, for $6 million to $15 million over a three-year project period.

Since then, however, the initiative has grown with 15 federal agencies now granting research awards and funding opportunities under the Genesis umbrella. The White House announced this week that it had secured more than $5 billion in federal commitments to expand the initiative.

SLB teams with Liberty Energy on modular power for AI data centers

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Houston-headquartered SLB and Denver-based Liberty Energy Inc. announced a strategic agreement this month to support the rapid growth of new data center capacity.

Under the agreement, SLB will supply modular data center infrastructure and oversee large-scale execution, while Liberty will provide modular power generation systems and behind-the-meter power management technology for developers looking to add capacity. According to Reuters, the power will come from natural gas generation.

“The bottleneck in AI infrastructure is no longer just compute. It is the ability to deliver infrastructure and power on the timelines the market now demands,” Gavin Rennick, president of SLB’s New Energy and Industrial business, said in a news release. “By bringing together complementary infrastructure and power capabilities, we will help developers accelerate deployment of new data center capacity.”

The companies seek to specifically offer the modular technologies in areas without traditional grid connections or where grid capacity is limited.

They also aim to improve the "efficiency, flexibility and environmental performance of future data center energy systems," potentially through solutions like hybrid power systems and digital energy management, according to the news release.

Goldman Sachs estimates that U.S. data center capacity will more than double from 31 gigawatts in 2025 to 66 gigawatts in 2027. Other reports predict that Houston and Texas will be home to a significant portion of the data center boom, with capacity in the city and the state also expected to double in the next few years.

“The scale and complexity of AI energy infrastructure is fundamentally changing how power systems are built and deployed,” Ron Gusek, CEO of Liberty Energy, added in the release. “Liberty’s comprehensive power service platform is engineered to meet this transition, as customers increasingly prioritize tailored, integrated solutions. Building on our long-standing relationship with SLB, we are excited to bring power solutions that address immediate capacity constraints while supporting the next generation of energy systems.”

SLB sold its onshore hydraulic fracturing business in the United States and Canada to Liberty Energy in December 2020 in exchange for a 37 percent equity interest in the company.

New Rice study details how carbon capture could reduce AI data center emissions

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A new study out of Rice University points to carbon capture and storage methods as pivotal solutions to addressing emissions from AI-driven data centers.

The study was authored by Hon Chung Lau, an adjunct professor in the Department of Chemical and Biomolecular Engineering at Rice University and founder of Low Carbon Energies LLC, and Steve C. Tsai, an energy transition consultant at Low Carbon Energies LLC, and published in the journal Energy & Fuels.

According to the study, U.S. data center power capacity could more than quadruple in five years, growing from 40 gigawatts in 2025 to 169 gigawatts by 2030. Without proper regulation of emissions, the report estimates that carbon dioxide produced by fossil-fuel power plants supplying electricity to data centers could grow at the same scale, increasing from 90 million metric tons to more than 404 million metric tons over the same time period.

The researchers analyzed publicly available data on announced U.S. data centers, which included energy sources, locations, and projected power capacity before estimating data center-related carbon emissions based on each state’s electricity mix. From there, they examined whether those emissions could be captured and stored underground in saline aquifers.

The team estimates that 34 states have enough saline aquifer storage capacity to store more than 100 years of projected data center-related carbon dioxide emissions beyond 2030. Aquifers could store an estimated 59 million metric tons of data center-related carbon dioxide, or about 66 percent of the sector’s emissions in 2025. However, that calculation could grow to 299 million metric tons, or about 74 percent of projected data center-related emissions by 2030.

The researchers found that more than 90 percent of data center-related carbon dioxide emissions could potentially be mitigated through carbon capture and storage when out-of-state storage options are included, even though they note that carbon capture isn’t the only solution.

“It does show that the geology exists to make a meaningful impact, especially in states where data center growth is strongest,” Lau said in a news release.

Rapid growth in states including Texas, Virginia, Pennsylvania, Ohio, Arizona, Colorado, Utah and Illinois was considered in the study. According to the findings, Texas would need to add 25 gigawatts of power capacity by 2030 to meet projected data center demand, as data centers require reliable electricity 24/7.

“Data centers are becoming one of the defining energy challenges of the AI era,” Lau added in the news release. “The question is not only whether we can build enough computing infrastructure, but whether we can power it in a way that is reliable, affordable and compatible with decarbonization goals.”