Houston experts: Can AI bridge the gap between tech ambitions and market realities?

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By leveraging AI to optimize operations, deepen customer relationships, and redefine industry paradigms, late-state tech startups can not only survive but thrive in a dynamic market. Photo via Getty Images

Despite successful IPOs from the likes of Ibotta, Reddit and OneStream, 2024 did not provided the influx of capital-raising opportunities that many late-stage tech startups and venture capitalists (VCs) have been waiting for. Since highs last seen in 2021—when 90 tech companies went public—the IPO market has been effectively frozen, with just five tech IPOs between January and September 2024.

As a result, limited partners have not been able to replenish investments and redeploy capital. This shifting investment landscape has VCs and tech leaders feeling stuck in a holding pattern. Tech leaders are hesitant to enter the public markets because valuations are down 30 percent to 40 percent from 2021, which is also making late-stage fundraising more challenging. After all, longer IPO timelines mean fewer exit opportunities for VCs and reduced capital from institutional investors who are turning toward shorter-term investments with more liquid exit options.

Of course, there’s always an exception. And in the case of a slowed IPO market, a select slice of tech companies—AI-related companies—are far outperforming others. While not every tech startup has AI software or infrastructure as their core offering, most can benefit from using AI to revise their playbook and become more attractive to investors.

Unlocking Growth Potential with AI

While overall tech startup investment has slowed, the AI sector burns bright. This presents an opportunity for companies that strategically leverage AI, not just as a buzzword but as a tool for genuine growth and differentiation. Imagine a future where AI-powered insights unlock unprecedented efficiency, customer engagement and a paradigm shift in value creation. This isn’t just about weathering the current storm of reduced access to capital; it’s about emerging stronger, ready to lead the next wave of tech innovation.

Here's how to navigate the AI frontier and unlock its potential:

  1. Understand that data is the foundation of AI success. AI is powerful, but it’s not magic. It thrives on high-quality, interconnected data. Before diving into AI initiatives, companies must assess their data health. Is it structured in a way that AI can understand? Does it go beyond raw numbers to capture context and meaning—like customer sentiment alongside sales figures? Rethinking data infrastructure is often the crucial first step.
  1. Focus on amplifying strengths, not reinventing the wheel. The allure of AI can tempt companies into pursuing radical reinvention. However, a more effective strategy is to leverage AI to enhance existing strengths and address core customer needs. Why do customers choose your company? How can AI supercharge your value proposition? Consider Reddit’s strategic approach: They didn’t overhaul their platform before their 2024 IPO. Instead, they showcased the value of their vast online communities as fertile ground for AI development, leading to a remarkable first-day stock surge of 48 percent.

  2. Use AI as a customer-centric force multiplier. Companies with a deep understanding of their customer base are primed for AI success. By integrating AI into the very core of their product or service—the reason customers choose them—they can create a decisive competitive advantage based on delivering tangible customer value.

From Incremental Gains to Transformative Growth

This practical, customer-centric approach has the potential to help companies generate immediate growth while laying the foundation for future reinvention. By leveraging AI to optimize operations, deepen customer relationships, and redefine industry paradigms, late-state tech startups can not only survive but thrive in a dynamic market. The future belongs to those who embrace AI not as a destination but as a continuous journey of innovation and growth.

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Hong Ogle is the president of Bank of America Houston. Rodrigo Ortiz Gomez is a market executive in Bank of America’s Transformative Technology Banking Group as well as the national software banking lead for the Global Commercial Bank.

The Artemis Fund has announced that it's closed its second fund. Courtesy photos

Houston-based, female-focused VC closes $36M fund

fresh funding

A women-led venture capital group based in Houston has closed its second fund to continue its mission of supporting female-founded startups in fintech, commerce, and care.

The Artemis Fund announced its $36 million second fund this month. Co-founded in 2019 by General Partner Stephanie Campbell, General Partner Diana Murakhovskaya, and Venture Partner Leslie Goldman Tepper, the firm has invested in more than 20 female-led startups — with over 60 percent with Black, Latinx, or immigrant leadership.

"Many funds have come to market that focus on diverse founders. Few are also funding the technology to address key barriers faced by overlooked businesses, communities, and families in the U.S.," Artemis leadership writes in a news release.

"Artemis invests in the big personal, every day, economic problems that Silicon Valley doesn’t understand or know how to solve," the release continues. "We see massive opportunity in what many VCs will quickly write off as too small, too fragmented, and too hard to solve. If it keeps families and small business owners up at night, we are likely backing a company solving it."

Artemis Fund II includes support from limited partners Bank of America, Bank of Montreal, TIAA Nuveen’s Churchill Asset Management, Texas Capital Bank, Amazon, The Rockwell Fund, and Ballentine Partners.

“The Artemis Fund is not only breaking down barriers themselves, but they are also investing in companies looking to catalyze change," Hong Ogle, Houston president at Bank of America, says in the release. "Artemis keenly understands how to identify and support diverse entrepreneurs, which ultimately helps us toward achieving our goal to advance economic opportunity for all our communities."

The second fund has already made investments in five startups:

  • Alameda, California-based Hello Divorce, a tech-enabled guide to divorce with research, planning, therapy, and community support.
  • Gemist, based in Los Angeles, provides tech tools to jewelers.
  • West Palm Beach, Florida-based Max Retail, a platform to sell leftover inventory.
  • Payverse, headquartered in Sherman Oaks, California, is a cross border payment processor leveraging their modern processing platform.
  • New York-based Builder's Patch, a software platform that streamlines the process to finance the development and preservation of affordable multifamily housing for CRE lenders and developers.

Eleven business leaders were selected for a new entrepreneurship-focused council for Rice University. Photo courtesy of Rice University

Rice University taps 11 Houston business leaders for new entrepreneurship council

leadership council

Rice University has named 11 successful business leaders with ties Houston to its inaugural council focused on entrepreneurship.

Frank Liu, a Rice alumnus and founder of the Rice University Liu Idea Lab for Innovation and Entrepreneurship, or Lilie, recruited the entrepreneurs to the council, and each has agreed to donate time and money to the university’s entrepreneurship programs, according to the university.

Members of the council, known as the Lilie’s Leadership Council or LLC, individuals have experience in a variety of fields, from the industrial and automotive sectors to local government and public radio.

"I owe much of my entrepreneurial success to opportunities I had while at Rice University,” Liu says in a statement. “I can't imagine the heights students today can achieve with the resources that now exist through Lilie. Over the last several years, as the No. 1 ranked Graduate Entrepreneurship program in the country, we have seen exponential growth in student engagement, and we have witnessed the life-changing technologies—tackling big problems in industries like energy and healthcare—bred within Lilie classes and programs. I am thankful for the commitment of Lilie's Leadership Council for propelling these founders from the classroom to the community and building the next generation of Houston's economy.”

LCC's inaugural cohort includes:

  • Sandy P. Aron: president of Hunington Properties who has served on the boards of the St. Francis Episcopal Day School of Houston, Congregation Beth Israel of Houston and Jones Partnership at Rice’s Jones Graduate School of Business
  • John Chao, vice president and managing director of Westlake Innovations and board member of Westlake Corp. The Rice alumnus previously served as COO of New York Public Radio and partner in the strategy and finance practice at McKinsey & Co.
  • Shoukat Dhanani, CEO of Sugar Land-based Dhanani Group Inc., a family owned and operated business conglomerate
  • Lorin Gu, founding partner of Recharge Capital and the founding chair of the Global Future Council at the Peterson Institute of International Economics
  • Earl Hesterberg, former CEO of Group 1 Automotive and former group vice president of North America marketing, sales and service for Ford Motor Co., who is currently chairing the capital campaign at Kids Meal Inc. in Houston.
  • Robert T. Ladd, chairman and chief executive of Stellus Capital Investment Corp. who is also chairman of the board of trustees of Rice and a member of the advisory council for the UT Health's McGovern Medical School
  • Frank Liu, co-founder and co-owner of Lovett Industrial and the founder and owner of Lovett Commercial, Lovett Homes and InTown Homes
  • Charlie Meyer, CEO of Lovett Industrial who formerly served as managing director at Hines Interests in Houston and director of construction and development for NewQuest Properties. He currently serves on the board of directors for Generation One and NAIOP Houston.
  • Hong Ogle, president of Bank of America Houston and Southeast/Southwest Division Executive for Bank of America Private Bank who serves on the board of Greater Houston Partnership and Central Houston Inc. and chairs the Bank of America Charitable Foundation in Houston.
  • Annise Parker, Houston’s 61st mayor who is currently CEO of the Victory Fund, a nonprofit devoted to electing pro-equality, pro-choice LGBTQ+ leaders to public office
  • Gary Stein, CEO of Triple-S Steel Holdings who serves on the American Institute of Steel Construction Board and the MD Anderson Cancer Center Board of Visitors

Over the summer, Lilie and Rice's Office of Innovation also announced its 2023 cohort of Innovation Fellows. The program, open to Rice faculty and doctoral and postdoctoral students, provides support to move innovation out of labs and into commercialization and up to $20,000 in funding.

Earlier this year, Lilie also launched a new startup accelerator program for students called the Summer Venture Studio, which ran from May through August.
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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.

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