Here's how many Texas jobs are at risk of being replaced by AI — according to AI

the tech is coming

AI and automation are coming for Texas jobs, according to ChatGPT. Image via Getty Images

ChatGPT seems to have its eyes set on at least 200,000 Texas jobs, according to a new study.

The report by UK-based affiliate marketing site NetVoucherCodes compiled data on nearly 200 U.S. job types and then asked ChatGPT for each job’s relative risk from AI, automation, and also the likelihood of AI increasing that job’s productivity.

The query found that 237,000 jobs in Texas have a high risk of being replaced by AI, and 1.07 million jobs are considered at a medium risk of being replaced by AI.

Similarly 1.8 million Texas jobs were considered at a high risk of being replaced by automation. More than 3 million jobs were considered at a medium risk of being replaced by automation.

In both the AI and automation queries, Texas had the second-most at risk jobs among the states. California had the most jobs at risk in both categories. New York fell behind Texas in the No. 3 spot for most jobs being at risk of being replaced by AI, and Florida had the third most jobs at risk of being replaced by automation.

Maine had the highest number of low-risk jobs, followed by Hawaii and Montana.

Texas jobs that were both at high risk and made up a large portion of Texas's workforce include fast food and counter workers, cashiers, customer service representatives, and stockers and order fillers.

“The data we’ve pulled together shows that a lot of lower income jobs are the ones that are at a higher risk of being replaced. When we break this down, we realize it’s because these jobs often involve a lot of the same repetitive tasks. This can be inputted into a computer and can be done automatically," John Strizaker from NetVoucherCodes said in a statement.

“The jobs that aren’t at risk are ones that really require human thinking and decision making, like nurses, doctors along with creative roles such as fashion designers and hairdressers," he continued.

At the same time, the study found that more than 1.4 million Texas jobs have a high likelihood of being able to use AI and automation to boost productivity. This was the second highest number of jobs in this category behind California.

“Although this might be a concern in the near future, there’s a lot of benefits to AI and automation," Strizaker said in the statement. "It will increase productivity, especially in creative fields and it will be able to take over repetitive tasks and free up workers for other things that require thinking.”

Some Houston companies are already using GPT, or generative pre-trained transformer, technology to their advantage. Femtech company ema pivoted to use the powerful tool to provide access to women's health information 24/7 to its users about 16 months ago.

And at the start of this year the University of Houston and Intel launched a new artificial intelligence program to help bridge the AI knowledge gap and fill hundreds of AI-related jobs that are open in the Houston area.

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CenterPoint and partners launch AI initiative to stabilize the power grid

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Houston-based utility company CenterPoint Energy is one of the founding partners of a new AI infrastructure initiative called Chain Reaction.

Software companies NVIDIA and Palantir have joined CenterPoint in forming Chain Reaction, which is aimed at speeding up AI buildouts for energy producers and distributors, data centers and infrastructure builders. Among the initiative’s goals are to stabilize and expand the power grid to meet growing demand from data centers, and to design and develop large data centers that can support AI activity.

“The energy infrastructure buildout is the industrial challenge of our generation,” Tristan Gruska, Palantir’s head of energy and infrastructure, says in a news release. “But the software that the sector relies on was not built for this moment. We have spent years quietly deploying systems that keep power plants running and grids reliable. Chain Reaction is the result of building from the ground up for the demands of AI.”

CenterPoint serves about 7 million customers in Texas, Indiana, Minnesota and Ohio. After Hurricane Beryl struck Houston in July 2024, CenterPoint committed to building a resilient power grid for the region and chose Palantir as its “software backbone.”

“Never before have technology and energy been so intertwined in determining the future course of American innovation, commercial growth, and economic security,” Jason Wells, chairman, president and CEO of CenterPoint, added in the release.

In November, the utility company got the go-ahead from the Public Utility Commission of Texas for a $2.9 billion upgrade of its Houston-area power grid. CenterPoint serves 2.9 million customers in a 12-county territory anchored by Houston.

A month earlier, CenterPoint launched a $65 billion, 10-year capital improvement plan to support rising demand for power across all of its service territories.

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This article originally appeared on our sister site, EnergyCapitalHTX.com.

UH receives $2.6M gift to support opioid addiction research and treatment

drug research

The estate of Dr. William A. Gibson has granted the University of Houston a $2.6 million gift to support and expand its opioid addiction research, including the development of a fentanyl vaccine that could block the drug's ability to enter the brain.

The gift builds upon a previous donation from the Gibson estate that honored the scientist’s late son Michael, who died from drug addiction in 2019. The original donation established the Michael C. Gibson Addiction Research Program in UH's department of psychology. The latest donation will establish the Michael Conner Gibson Endowed Professorship in Psychology and the Michael Conner Gibson Research Endowment in the College of Liberal Arts and Social Sciences.

“This incredibly generous gift will accelerate UH’s addiction research program and advance new approaches to treatment,” Daniel O’Connor, dean of the College of Liberal Arts and Social Sciences, said in a news release.

The Michael C. Gibson Addiction Research Program is led by UH professor of psychology Therese Kosten and Colin Haile, a founding member of the UH Drug Discovery Institute. Currently, the program produces high-profile drug research, including the fentanyl vaccine.

According to UH, the vaccine can eliminate the drug’s “high” and could have major implications for the nation’s opioid epidemic, as research reveals Opioid Use Disorder (OUD) is treatable.

The endowed professorship is combined with a one-to-one match from the Aspire Fund Challenge, a $50 million grant program established in 2019 by an anonymous donor. UH says the program has helped the university increase its number of endowed chairs and professorships, including this new position in the department of psychology.

“Our future discoveries will forever honor the memory of Michael Conner Gibson and the Gibson family,” O’Connor added in the release. “And I expect that the work supported by these endowments will eventually save many thousands of lives.”

Houston researchers develop material to boost AI speed and cut energy use

ai research

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

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

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

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

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

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

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

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

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

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

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