Whole Foods Market Daily Shop will be smaller and more convenient. Courtesy rendering

Texas-based Whole Foods Market is unrolling a new kind of store for urban neighborhoods that'll be smaller and quicker than its current mega-model.

Called Whole Food Market Daily Shop, it'll be designed as a quick, convenient shopping experience, targeted to urban neighborhoods. According to a release, the new format will debut in Manhattan's Upper East Side at 1175 Third Ave. in 2024, with additional locations in New York to follow.

Following the New York city launch, the chain will bring the format to other cities across the U.S.

The stores will range from 7,000-14,000 square feet — about a quarter to half the size of the average 40,000-square-foot Whole Foods Market — making it easier to open in dense, metropolitan areas.

Whole Foods Market Daily Shop will feature grab-and-go meals and snacks, weekly essentials, and a quick, easy destination to pick up ingredients to complete a meal.

Though smaller, the stores will still offer produce, meat, and seafood; prepared foods like sandwiches and pre-packed meals; bread, alcohol, and supplements; plus products under the 365 by Whole Foods Market private label.

The first location only will also feature a venue called Juice & Java, with coffee, tea, juices, smoothies, sandwiches, soups, and desserts.

Whole Foods VP Christina Minardi says in a statement that the store's design reflects the unique needs of urban neighborhoods.

“At our new store formats, we’re tailoring every square foot to the unique, fast-paced needs of urban lifestyles," Minardi says. "We’re excited to introduce a new way for our customers to quickly pick up their Whole Foods Market favorites — from grab-and-go meals to that last-minute dinner ingredient — making the early morning or after work grocery trips more efficient and enjoyable."

This is not WFM's first effort to expand beyond the traditional supermarket footprint. In 2016, the chain introduced 365 by Whole Foods Market, a lower-price concept designed to appeal to younger shoppers. It went on to open nine locations, but scrapped the concept in 2019, following its acquisition in 2017 by Amazon.

The new format stores will not replace traditional or existing store locations. New York currently has 17 regular stores, including the most recent added at One Wall Street in 2023. The chain, which was founded in Austin in 1980, currently has more than 530 stores in the U.S., U.K., and Canada with another 75-plus stores in the pipeline, and is part of Amazon’s Worldwide Grocery Stores.

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This article originally ran on CultureMap.

Amazon Dash Cart is now available at a Whole Foods in Texas. Courtesy Amazon

Smart carts roll into Texas grocery store

hi, tech

If being more efficient with your time is one of your new year's goals, a faster way to shop is on the horizon in 2023.

Amazon Dash Cart just arrived at one local San Antonio Whole Foods Market, allowing shoppers to skip the checkout line altogether.

Located at 18403 Blanco Road, the Vineyard Whole Foods Market store is one of the first three locations in the country to make Amazon Dash Carts available to customers.

The smart grocery carts lets you scan items as you go, place them directly into your grocery bags, and head straight to the car when you're done shopping. Shoppers log in through a QR code in the Whole Foods Market app, which prompts a quick sign in process before you can begin using the cart.

As you scan each item while shipping, the Amazon Dash Cart’s screen shows a real-time receipt of all items in the cart. When ready to check out, shoppers can skip the checkout line, exiting the store through the designated Amazon Dash Cart lane. Payment is then processed using the credit card associated with the shopper's Amazon account, and an automated receipt arrives at the associated email account after exiting the store.

While the carts have been in Amazon Fresh Stores across the country since 2020, they are now available in select Whole Foods Markets. Several 2022 updates included doubled capacity in the carts, new shelves for delicates and oversized items alike, weather-resistant features, and extended all-day batter life.

"As many of our customers return to their in-store grocery shopping routines, it's exciting to introduce new and unique ways for them to shop our stores," says Leandro Balbinot, chief technology officer for Whole Foods Market, in the 2022 announcement about the carts' new features.

Customers can find more detailed information on the technology here, along with a number of FAQs.

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This article previously ran on CultureMap.

Shop smarter with these tech-enabled carts. Image via Amazon

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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
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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.