Here's your roundup of energy innovation news coming out of Houston. Photo via Getty Images

Houston's energy innovation ecosystem has seen a busy spring season, with startup accelerator cohorts announced, expanded corporate partnerships, and recent funding raised.

In this roundup of short stories within Houston energy innovation, a startup enters into a strategic partnership, Greentown Labs announces a new accelerator, and more.

Syzygy taps global company to lead scaling for tech development 

Syzygy has brought on a new partner that's key to its future growth and tech production. Photo via Emerson

Houston-based Syzygy Plasmonics, which has developed a light-based catalyst reactor technology that originated out of Rice University, has selected global technology and software company Emerson (NYSE: EMR) to automate electrification of chemical production processes.

The reactor technology uses light instead of thermal energy for chemical manufacturing. The all-electric production method has the opportunity to replace fossil fuel-based combustion, making energy generation more sustainable. Syzygy estimates, according to the news release, that its reactor systems could eliminate 1 gigaton of CO2 emissions by 2040.

“We are excited to advance this opportunity with Emerson not only for its automation technologies and software but also its sustainability leadership and domain expertise in chemical engineering, electrification and hydrogen production,” says Syzygy CEO Trevor Best in the release. “As we expand beyond traditional paradigms of reactor technology and launch a new way to electrify chemical manufacturing, we wanted a technology partner who can help us scale our technology efficiently, safely and reliably.”

Emerson will provide its suite of hardware, software, and services for the Syzygy modular reactors.

"Emerson is excited to collaborate with Syzygy Plasmonics on such promising technology that could have a significant impact on industries that are some of the most challenging to decarbonize," says Peter Zornio, CTO at Emerson. “This aligns with Emerson’s culture of innovation that takes on our customers’ biggest challenges.”

Greentown Labs announces applications opening for Shell accelerator

Shell is seeking energy tech companies. Photo via greentownlabs.com

Greentown Labs, a climatetech incubator co-located in Houston and Boston, has teamed up with Shell for a Greentown Go program, geared at accelerating startup-corporate partnerships, to focus on technologies for carbon utilization, storage, and traceability.

Greentown Go Make 2023 zeroing in on alternative carbon feedstocks for carbon-intensive commodities; biogenic and nature-based solutions; and solutions for carbon storage and traceability, according to a news release.

Applications are open now, and the selected startups will have access to mentorship from Shell and Greentown's networks, desk space and membership within Greentown, $15,000 in non-dilutive grant funding, and educational workshops throughout the duration of the six-month program.

“Greentown Go brings together groundbreaking climatetech startups and the corporations that can help commercialize and scale their technologies,” says Kevin T. Taylor, interim CEO and CFO at Greentown Labs, in a news release. “Every Greentown Go program aims to drive climate impact and accelerate the energy transition. We look forward to working with Shell, a long-time Greentown partner, on this important program and supporting the latest innovations in carbon utilization, storage, and traceability.”

The program will help support Shell’s strategy through the development and scaling of technologies for carbon utilization, storage, and traceability across chemicals, carbon fuels, and more.

“Collaboration to accelerate technology development is critical to developing the energy solutions we need for a low-carbon energy future, and I am excited to see what novel technologies arise from startups participating in the Greentown Go Make 2023 program,” says Ed Holgate, commercial partnerships manager at Shell.

Chevron Technology Ventures adds Canadian startup to its Catalyst Program

Motive.io ia using AI to optimize workforce training. Photo via Motive.io

Chevron Technology Ventures announced the addition of Vancouver-based Motive.io, which provides immersive training solutions that leverage virtual and augmented reality technologies, to its Catalyst program. The program seeks out and helps to grow breakthrough technologies and solutions that have the potential to disrupt the energy industry.

"We are honored and thrilled to be selected as part of Chevron Technology Ventures' Catalyst program," says Ryan Chapman, CEO of Motive.io, in a news release. "Selection for this program represents a tremendous opportunity for Motive.io to collaborate with Chevron Technology Ventures as we continue to advance our cutting-edge immersive training solutions for the energy sector."

Motive.io's technology, called the XR Management System, "aims to revolutionize how companies train their employees by providing realistic and interactive simulations that allow learners to practice their skills in a safe and controlled environment," according to a news release.

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Houston college joins inaugural workforce accelerator supported by Google

hands-on training

Houston City College (HCC) is one of 15 community colleges from around the country to be selected for the first-ever Workforce Futures Accelerator.

The three-year effort is supported by Google.org, the tech company’s philanthropic arm, and led by the Association of Community College Trustees (ACCT), a non-profit educational organization that represents over 500 community, junior, and technical colleges. The accelerator focuses on helping colleges embed virtual, employer-sponsored training opportunities into short-term workforce training programs, giving participants access to opportunities that they might otherwise receive through internships or other "work-based learning" stints.

"The Workforce Futures Accelerator reflects the Houston City College mission of offering a high-quality, affordable education for workforce training and career development," Pretta VanDible Stallworth, HCC trustee and chair-elect of the ACCT board of directors, said in a news release. "Advancing student success and creating pathways to opportunities ensures that our students are well equipped to succeed and build a secure future in today's economy.”

Through the accelerator, HCC is tasked with fusing online project-based learning opportunities with its workforce education programs. The idea is to give students hands-on experiences working on projects sponsored by employers, allowing them to gain real-world knowledge in the process.

HCC will select two workforce programs that meet the accelerator’s criteria and insert into them into coursework. In the second and third year of the accelerator, the selected colleges are expected to scale the programs by adding instructors and programs to develop a network of to support their continued implementation.

“Participation by HCC will strengthen how we provide students with career-connected learning experiences that complement their classroom education and align with the needs of employers,” HCC Chancellor Margaret Ford Fisher added in the news release. “We are focused on ‘future forward’ strategies to meet the present and future needs of our region’s businesses.”

Two other Texas colleges were chosen to participate in the accelerator: Lamar Institute of Technology in Beaumont and Grayson College in Denison.

The remaining cohort includes:

  • Bergen Community College in Paramus, New Jersey
  • Central Louisiana Community College in Alexandria, Louisiana
  • Clark State College in Springfield, Ohio
  • Great Basin College in Elko, Nevada
  • Heartland Community College in Normal, Illinois
  • Hudson County Community College in Jersey City, New Jersey
  • Manchester Community College in Manchester, New Hampshire
  • Mesa Community College in Mesa, Arizona
  • Mohave College in Kingman, Arizona
  • San Joaquin Delta Community College in Stockton, California
  • San Juan College in Farmington, New Mexico
  • West Virginia University Parkersburg in Parkersburg, West Virginia

New report ranks Texas among top 10 states where AI could disrupt jobs

AI Workforce

A new nationwide report examining where AI could "reshape" the most jobs has ranked Texas No. 9 among the most at-risk states for AI job disruption.

The new SmartAsset report compared all 50 states and the District of Columbia to calculate the estimated percent of the workforce employed in the 26 occupations with the highest AI exposure, as determined by June 2026 research by the Virginia Economic Information and Analytics Division.

The findings revealed that 500,000 Texas workers, or 3.55 percent of the total workforce, are employed in occupations with "high exposure to potential AI disruption."

This also places the Lone Star State as the 9th most at-risk state in the U.S. where AI exposure can lead to "declining hiring demand, wage pressure, task automation, and other forms of disruption."

"States with larger concentrations of highly exposed occupations could experience more pronounced labor-market changes, particularly in roles where core tasks are more vulnerable to AI-driven restructuring," the report's author wrote.

Texas' biggest cities, like Houston and Austin, are known for their thriving tech and business industries, and the study noted that many of the occupations within those sectors are the most at risk. The Virginia Economic Information and Analytics Division said the top five most AI-exposed occupations in the U.S. are: mathematicians, proofreaders, correspondence clerks, court reporters, and media and communication workers. Additionally, computer programmers, database administrators, web developers, telephone operators, and communications equipment operators round out the top 10 most at-risk positions.

These are the 16 remaining occupations most exposed to AI disruption, in order:

  • Data Entry Keyers
  • Statistical Assistants
  • Office Support Workers
  • Interpreters and Translators
  • Database Architects
  • Software Quality Assurance Analysts
  • Medical Transcriptionists
  • Software Developers
  • Writers and Authors
  • Payroll Clerks
  • Web Designers
  • Miscellaneous Computer Occupations
  • Insurance Claims Processors
  • Telemarketers
  • Computer Numerically Controlled Tool Programmers
  • Bookkeeping and Accounting Clerks

A separate SmartAsset report from April 2026 found about 20.5 percent of Texas workers use AI to do their jobs in some capacity. That trend will continue to shift further as employers and employees choose to adopt — or reject — AI implementation.

Across the U.S., Washington topped the list as the state with the highest concentration of AI-exposed jobs, with nearly 5.7 percent of the state's workforce employed in the 26 most at-risk positions. SmartAsset said Washington's high prevalence of technology companies is a significant factor that skyrocketed the state to the top of the list.

"Home to major technology companies including Microsoft, Amazon, T-Mobile and Expedia, the state has large numbers of computer programmers and software developers, two occupations with high exposure," the report said.

Meanwhile, Mississippi ranked No. 51 with the lowest concentration of AI-exposed jobs in the nation. About 22,500 workers in Mississippi, or 1.93 percent of its workforce, are at risk for AI disruption.

The top 10 states where AI could reshape the most jobs are:

  • No. 1 – Washington
  • No. 2 – Virginia
  • No. 3 – District of Columbia
  • No. 4 – California
  • No. 5 – Utah
  • No. 6 – Maryland
  • No. 7 – Colorado
  • No. 8 – New Hampshire
  • No. 9 – Texas
  • No. 10 – North Carolina
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This article originally appeared on CultureMap.com.

UH lands $1.2M NIH grant to fight superbugs using AI, quantum sensing

drug defense

The fight against antibiotic-resistant bacteria like MRSA is getting science fiction-like upgrades at the University of Houston thanks to a new four-year, $1.26 million grant from the National Institutes of Health.

The university says the recent funding brings total federal support up to $3.5 million for 11 years for the project, which uses AI and quantum-sensing technology to better understand how bacterial proteins develop resistance to drugs.

Any medical professional will tell you that one of the worst things that can happen is almost killing an infection. Bacteria that survive attacks from conventional antibiotic treatments emerge tougher, more resistant and more aggressive than before–making them much harder to treat. A good example is the superbug methicillin-resistant Staphylococcus aureus (MRSA).

UH chemistry professors Yuhong Wang and Shoujun Xu are working on this issue. They know full well that fighting superbugs requires new technology and new approaches, which is what they aim to pioneer with their new grant.

“Drug-resistant bacterial infections such as MRSA are becoming harder to treat, creating an urgent need for faster ways to understand how antibiotics and other small molecules interact with bacterial proteins,” Wang said in a news release.

Wang and Xu’s work centers around GTP, a cellular fuel that can cause tiny changes to a cell's structure when it mutates. Sometimes, those shape changes make it easier for drugs to breach the wall and attack the cells.

The UH scientists are employing AlphaFold, an AI-powered tool that can scan large molecular libraries in seconds. From these models, they can see promising drug combinations for future testing.

Once identified, the team uses their invention, super-resolution force spectroscopy, to monitor the cells. Tiny magnetic beads are attached to genetic material, then magnified to see how strong that material is when pulled. They can measure this incredible microscopic process through an atomic magnetometer, typically used in quantum physics. Combined, all these tools allow a high-definition look at how each molecule might respond to new chemical approaches.

“We're the only chemists in the world that use an atomic magnetometer for biological research,” Xu said. “It's a technique developed by physicists, and there is usually a gap between techniques developed by physicists and biological applications. Yuhong and I have been bridging that gap together for the past 10 years.”

Eventually, Wang and Xu hope to develop powerful software that can be used by drug manufacturers to model cellular responses. With enough predictive data, the software could even get ahead of superbugs’ own mutation, allowing drugs to be developed before new strains arrive.

"We want an algorithm where you input a protein sequence, score the mutation hotspots, and develop new inhibitors before a drug-resistant species even emerges," Wang added.