As we overcome the COVID crisis, and look to rebuild our economy and overcome future challenges, we need to learn from this experience and refuse to go back to the bad old days of red tape and stale technology. Photo via Getty Images

If you've logged onto a government website recently, you know that dealing with creaking, outdated government technology is about as much fun as a trip to the DMV. Held back by byzantine procurement rules, management-by-committee, and an aggressive commitment to decades-old UX principles, government websites and other tech tools are routinely confusing, horrible to use, and deeply inefficient.

Now, though, that could finally be changing. The COVID-19 pandemic has forced us all to rethink our relationships with the technologies we use, from Zoom calls to e-commerce services. Increasingly, government bodies are finding themselves forced to move faster, adopt more up-to-date technologies, and work with private-sector partners to meet new challenges and quickly bring their services into the 21st century.

Getting an education

One of the most dramatic examples comes in the realm of education. According to the U.S. Census Bureau, about 93 percent of school-age children have engaged in distance learning since the pandemic began, and four fifths of them relied on digital tech to take the place of classroom resources. But with access to digital tech at home strongly correlated to household income, governments and education departments have had to move quickly to ensure every child has access to laptops and web connections.

Not everyone is a fan of remote learning, and as a parent myself, I know how hard it can be to have kids at home. But one thing we should all be able to agree on is that if we're going to rely on digital learning, then we need to make sure it's available to everyone, including those families that don't have access to reliable computers and WiFi connections at home.

Achieving that rapidly and at scale has required remarkable flexibility and creativity from policymakers at all levels. Those that have succeeded have done so by brushing aside the red tape that has ensnared previous government tech initiatives, and instead working with private-sector partners to rapidly implement the solutions that are needed.

Lessons from Texas

Here in Texas, for instance, one in six public school students lacked access to high-speed internet connections at the start of the pandemic, and 30% lacked access to laptops or other learning devices. To speed the transition to remote learning, Gov. Greg Abbott and the Texas Education Agency (TEA) launched Operation Connectivity — a $400 million campaign to connect 5.5 million Texas public school students with a computer device and reliable internet connection. To date 4 million devices have been purchased and are being distributed to kids, opening doors to greater educational and economic opportunities. Further work is in progress to remove other connectivity barriers like slow connection speeds in rural areas to help students and all Texans.

Rolling out such an ambitious project to our state's 1,200 or so school districts could have been a disaster. After all, many government IT projects grind along for months or years without delivering the desired results — often at huge cost to taxpayers. But Operation Connectivity has been different because it's grounded in a true partnership between the government and private-sector players.

Facing urgent deadlines, government leaders turned to Gaby Rowe, former CEO of the Ion tech hub, to spearhead the project. As a tech innovator, Rowe brought entrepreneurial energy and a real understanding of the power of public-private partnerships, and drove Operation Connectivity from the blueprint to execution in a matter of weeks. Tech giants including Microsoft, SAP, and Hubspot also quickly joined the effort, helping to deliver cost-effective connectivity and hardware solutions to ensure that every kid in our state could get the education they deserve. Since then, Operation Connectivity has distributed over a million devices, including laptops and wireless hotspots, to families in need, with costs split between the state and individual districts.

Private sector edge

To get a sense of how private-sector knowhow can spur government tech transformation, consider my own company, Digital Glyde. As part of the Operation Connectivity effort, we were asked to help design and build the back-end software and planning infrastructure needed to coordinate effectively with hundreds of school district officials scattered all across our state.

Ordinarily, that kind of effort would require a drawn-out process of consultation, committee-work, and red tape. But facing an urgent need to help our state's children, we were given the freedom to move quickly, and were able to implement a viable system within just a few days.

By leveraging cutting-edge data-extraction and image-processing tools, we helped Operation Connectivity to automatically process invoices and match tech costs to available COVID relief funding in record time. We achieved 95% accuracy within three weeks of deployment to ensure school districts quickly received reimbursements for the hardware they were purchasing on behalf of their schoolchildren.

Building on success

Operation Connectivity is just one example of the ways in which government actors have embraced tech and leveraged private-sector assistance to chart their way through the COVID crisis. From contact-tracing programs to vaccine distribution programs, we're seeing governments taking a far more pragmatic and partnership-driven approach to technology.

Of course, not every experiment goes to plan. In Florida, government agencies decided to use web tools to manage vaccination appointments — but implemented that idea using a commercial website built to handle birthday party e-vites. Unsurprisingly, the results were chaotic, with users having to scramble to grab appointments as they were posted to the site, and seniors struggling to wrap their head around a website designed for young parents.

Such stories are a reminder that governments can't solve big problems simply by grabbing at whatever tech tools are nearest to hand. It's vital to find the right solutions, and to work with partners who understand the complexity and constraints that come with delivering public-sector services at scale.

As we overcome the COVID crisis, and look to rebuild our economy and overcome future challenges, we need to learn from this experience and refuse to go back to the bad old days of red tape and stale technology. In recent months, we've shown what can be done when we pull together, and combine real governmental leadership with private-sector innovation and efficiency. We'll need much more of this kind of teamwork and tech-enabled creativity in the months and years to come.

------

Varun Garg is the founder and CEO of Houston-based Digital Glyde

Ad Placement 300x100
Ad Placement 300x600

CultureMap Emails are Awesome

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
---

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.