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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Houston food giant Sysco to acquire competitor in $29 billion deal

Mergers & Acquisitions

Sysco, the nation's largest food distributor, will acquire supplier Restaurant Depot in a deal worth more than $29 billion.

The acquisition would create a closer link between Sysco and its customers that right now turn to Restaurant Depot for supplies needed quickly in an industry segment known as “cash-and-carry wholesale.”

Sysco, based in Houston, serves more than 700,000 restaurants, hospitals, schools, and hotels, supplying them with everything from butter and eggs to napkins. Those goods are typically acquired ahead of time based on how much traffic that restaurants typically see.

Restaurant Depot offers memberships to mom-and-pop restaurants and other businesses, giving them access to warehouses stocked with supplies for when they run short of what they've purchased from suppliers like Sysco.

It is a fast growing and high-margin segment that will likely mean thousands of restaurants will rely increasingly on Sysco for day-to-day needs.

Restaurant Depot shareholders will receive $21.6 billion in cash and 91.5 million Sysco shares. Based on Sysco’s closing share price of $81.80 as of March 27, 2026, the deal has an enterprise value of about $29.1 billion.

Restaurant Depot was founded in Brooklyn in 1976. The family-run business then known as Jetro Restaurant Depot, has become the nation's largest cash-and-carry wholesaler.

The boards of both companies have approved the acquisition, but it would still need regulatory approval.

Shares of Sysco Corp. tumbled 13% Monday to $71.26, an initial decline some industry analysts expected given the cost of the deal.

Houston researcher builds radar to make self-driving cars safer

eyes on the road

A Rice University researcher is giving autonomous vehicles an “extra set of eyes.”

Current autonomous vehicles (AVs) can have an incomplete view of their surroundings, and challenges like pedestrian movement, low-light conditions and adverse weather only compound these visibility limitations.

Kun Woo Cho, a postdoctoral researcher in the lab of Rice professor of electrical and computer engineering Ashutosh Sabharwal, has developed EyeDAR to help address such issues and enhance the vehicles’ sensing accuracy. Her research was supported in part by the National Science Foundation.

The EyeDAR is an orange-sized, low-power, millimeter-wave radar that could be placed at streetlights and intersections. Its design was inspired by that of the human eye. Researchers envision that the low-cost sensors could help ensure that AVs always pick up on emergent obstacles, even when the vehicles are not within proper range for their onboard sensors and when visibility is limited.

“Current automotive sensor systems like cameras and lidar struggle with poor visibility such as you would encounter due to rain or fog or in low-lighting conditions,” Cho said in a news release. “Radar, on the other hand, operates reliably in all weather and lighting conditions and can even see through obstacles.”

Signals from a typical radar system scatter when they encounter an obstacle. Some of the signal is reflected back to the source, but most of it is often lost. In the case of AVs, this means that "pedestrians emerging from behind large vehicles, cars creeping forward at intersections or cyclists approaching at odd angles can easily go unnoticed," according to Rice.

EyeDAR, however, works to capture lost radar reflections, determine their direction and report them back to the AV in a sequence of 0s and 1s.

“Like blinking Morse code,” Cho added. “EyeDAR is a talking sensor⎯it is a first instance of integrating radar sensing and communication functionality in a single design.”

After testing, EyeDAR was able to resolve target directions 200 times faster than conventional radar designs.

While EyeDAR currently targets risks associated with AVs, particularly in high-traffic urban areas, researchers also believe the technology behind it could complement artificial intelligence efforts and be integrated into robots, drones and wearable platforms.

“EyeDAR is an example of what I like to call ‘analog computing,’” Cho added in the release. “Over the past two decades, people have been focusing on the digital and software side of computation, and the analog, hardware side has been lagging behind. I want to explore this overlooked analog design space.”