The organizations most likely to benefit from a competitor's scandal are ones that offer similar services, but are seen as having stricter ethical policies. Photo via Getty Images

When scandal tears through an institution, it can hurt innocents in the same field. But even the darkest scandal can sometimes benefit a similar organization ⁠— if, that is, the public sees it as far more ethical, says Rice Business professor Alessandro Piazza.

In a recent paper, Piazza collaborated with Julien Jourdan of the Université Paris-Dauphine, PSL Research University, to study the effects of the sex crimes scandal that embroiled Catholic priests and other clergy on membership in not just the Catholic Church itself, but also 16 other U.S. Christian denominations. The researchers analyzed the 16 denominations between 1971 and 2000 in an attempt to track any flight of Catholics to other churches. The findings offer insights for secular organizations in scandal-stricken fields.

To reach their conclusions, Piazza and Jourdan studied data sets from the Religious Congregations and Membership Study and the Churches and Church Membership Study, maintained by the Association of Religion Data Archives. The data included county-level statistics on congregations of 149 religious bodies.

Using this data, Piazza and his coauthor first tallied county by county church membership, coding for variables such as ethnicity and economic status. Next, they created a model to rate churches on issues such as strictness, mandatory commitment and evangelism. Finally, they compared the changes in membership figures for non-Catholic churches to explore whether former Catholics might have joined other churches as a result of the clergy scandal, and if so, which ones.

Scandal, broadly defined as publicized transgressions of established norms, can indelibly mark the collective imagination. Media amplify the effect with their investigations of the disgraced organizations, whether it be the Catholic Church, Enron, WorldCom or the British Parliament. Research shows that a scandal can tarnish individuals, organizations and, by indirect association, even entire industries.

At the same time, it's possible for members of a scandal-plagued group to prosper. When, for instance, Nike was accused of using slave labor in the developing world to make their products, rival companies that could showcase better labor practices benefited. Past studies, however, have not shown how these consequences occur, or how they affect people on the inside of the implicated organizations.

Piazza and Jourdan found that scandals can improve business for rival organizations under key conditions, the most important one being if they offer close alternatives to the services once supplied by the disgraced organizations. This kind of swap is most likely to happen when a service is still needed. After the Enron scandal, for instance, clients of its disgraced auditor, Arthur Andersen, still required auditing services, so took their business to rival auditing firms.

The researchers also analyzed the responses of people within an organization disrupted by scandal. Unlike investors, who may react to a scandal quickly and coldly, an organization's members are more likely to reflect on options before leaving.

In the case of the Catholic Church, disillusioned members gravitated to denominations that shared certain traits with Catholicism, but were perceived to enforce stricter norms. For these Catholics, religious participation and commitment to religious activity were the most compelling aspects when choosing a new church. Theology mattered less.

Most of the disillusioned Catholics, in fact, moved to Protestant denominations seen as strict and ethically austere, such as the Missouri Synod Lutheran and Southern Baptists. Far fewer turned to more liberal mainline churches such as the Presbyterian or Episcopalian churches, even though the latter is theologically close to Catholicism.

The stricter churches were more likely to draw ex-Catholics who were poorer and less educated, had contributed more money and attended more services, held stronger beliefs and belonged to more church-related groups.

Though the Catholic Church scandals unleashed enormous spiritual anguish, the practical effects also apply to secular organizations, Piazza and Jourdan write. Certain firms, like certain denominations, can gain tangibly from a rival's disgrace. The caveat: They must offer similar services, and appear to be more virtuous.

Surprising as it may sound, in other words, an industry-wide scandal can sometimes mean opportunity. When a large institution falls to rubble, its survivors resolve not to make the same mistake twice. Looking for similar services, they'll choose the most austere organizational culture they can find.

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This article originally ran on Rice Business Wisdom and is based on research from Alessandro Piazza, an assistant professor of strategic management at Jones Graduate School of Business at Rice University.

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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.