Leaders across the spectrum are coming together this week to shine a spotlight on the future of tech jobs in Houston. Photo via Getty Images

This week, leaders in government, business, and academia are convening to work within the community to explore how we can leverage partnerships and new federal programs to drive investment into Houston’s burgeoning innovation ecosystem.

At AI Across America: Houston, we’ll begin forming plans and partnerships capable of sparking an innovation ecosystem, fueling AI education, training, research, development, and job creation. We’ll also examine how students, workers, businesses, and academics in the community can prepare for upcoming opportunities and challenges.

Why Houston

Besides being near Texas’ 10th District, choosing Houston was easy in its own right. According to a study by Axios and LinkedIn, between 2020 and 2021, while the traditional tech hubs bled top talent, Houston gained 10.6 percent new tech workers. Those workers arrived to a solid foundation; in 2022 the Houston metro area had net tech employment of 134,436 people. The growth is steady too. From 2010 to 2019, the Houston area tech workforce grew 12.3 percent.

Recently, Houstonians are leveraging federal programs and public-private partnerships to build innovative, collaborative environments. These include places like The Ion, East End Maker Hub, and Houston Community College.

Defining the project

The AI Across America project is a collaboration between SeedAI, a 501(c)3 nonprofit, and the Congressional AI Caucus. Working in conjunction, the organizations support efforts in the public and private sectors to expand access to AI education, training, development, testing, and job creation for communities across the country.

The AI Caucus is a group of U.S. Representatives working together to better understand their constituent's interests and those of all Americans as it pertains to AI. The organization works to explain the underlying technology and the ecosystem.

SeedAI does the groundwork to build collaboration across the private sector, government, academia, and civil society to support community-driven AI investments. The work of SeedAI focuses specifically on people who have been historically-marginalized and overlooked.

This is a critical moment for AI in America and beyond

AI is the battleground of the next great global competition. We have to be the first to build and master AI technology. Yet, because AI is a reflection of the people creating it and historical data, pursuing technology through the perspective of only a small group of people opens us to disproportionate harm and unknown risks.

Worse still, if the barrier to entry for AI is allowed to continue growing, we risk losing our most precious resource – the ingenuity waiting to be unleashed across the country. How, in those circumstances, can we succeed when faced with a nation like China with a population dwarfing the U.S. alongside an ability to spend far more agilely and extensively?

How can we succeed, and what is Houston’s role?

Fortunately, through recently-passed legislation called the Chips and Science Act, we have an opportunity to reclaim international leadership in a quintessentially American way: by leveraging the diverse strengths of communities across the country.

Houston already has a head start and an expanding tech economy – with planning and collaboration, Houstonians can be first in line to build new resources for AI education and development. When every state and community begins to realize their potential in the AI-powered future, Houston can play a leading role in guiding others to success and enabling their transformation.

If we succeed, we’ll uncover ingenuity and inventions we would’ve never anticipated. And as AI becomes easier to apply, we’ll have a real chance to build an AI-first generation of workers and builders from coast to coast.

Once we become competitive internally, we will be unbeatable internationally. If we succeed, we’ll lead the world in economic competitiveness and national security for decades to come.

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Austin Carson is the founder of SeedAI, a nonprofit established to work with a diverse group of policymakers, academics, and private sector experts to help communities across the United States access the resources they need to engage with AI. Congressman Michael T. McCaul, Republican Leader for the House Foreign Affairs Committee and Vice Chair of the Congressional AI Caucus, is currently serving his ninth term representing Texas' 10th Congressional District which stretches from the city of Austin to the Houston suburbs.

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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.”