Only D.C. is more overworked than Houston. Photo by Shobeir Ansari, Getty Images

A new study on work-life balance proves Houstonians work harder than almost anyone else in the country.

Mobile technology company Kisi set out to determine which major U.S. cities offer the best work-life balance, and which ones could use an adjustment, by examining work intensity, society and institutions, and livability. Overall, the Bayou City ranks fourth-worst for work-life balance (No. 37 out of 40), but even more sobering is how overworked our residents are.

According to the study, Houston is the second-most overworked city in the nation, behind only Washington, D.C. Fifteen percent of Houston workers work at least 48 hours a week, the highest figure in the study, and, on average, the Houston workforce stays on the clock 43.7 hours a week. While local workers arrive at work later than most Americans (9:56 am), they are on the road much earlier, commuting about 30 minutes just one way, the study says.

The Bayou City also falls to the bottom of the list — No. 39 — for institutional and societal support. Houston ranks low across the board, from healthcare and access to mental health to LGBT and gender equality.

Houston redeems itself — somewhat — at No. 20 for livability, which takes into account overall happiness, safety, and access to wellness and leisure. This allowed Kisi to determine "whether their residents can enjoy their environment after office hours," the study says.

Houston is by far the most overworked market in Texas, but the Lone Star State could stand to improve its work-life balance. Dallas and San Antonio also rank in the bottom 10, Nos. 32 and 31, respectively, and while Austin comes in at No. 18 overall, 15 percent of its workers are on the clock 48 hours or more a week, too.

Those who want to "work smarter rather than harder," says Kisi, should consider San Diego, California, which boasts the best work-life balance in the nation. Globally, that honor goes to Helsinki, Finland, which scores a perfect 100 in the report.

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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.”