This Houston tech leader explains the challenges and opportunities that succession planning includes. Photo via Getty Images

Family-owned businesses have unique challenges when it comes to succession. The biggest obstacle is that family members leading the organizations think they know their own children or heirs’ capabilities better than they actually do. The current slate of executives can see the most obvious strengths to some degree, but they often miss the entirety of each family member’s gifts. They may also fail to see what work gives each heir the most passion and job fulfillment.

The second challenge is the emotional connection to family members, which can make hiring or promoting decisions stressful. This can also lead to difficulty with honesty when it comes to family members. On the other hand, some business owners are too tough on the next generation taking over. In either case, finding the right balance between effective work relationships and objective decision-making can be difficult. Then there is the challenge of openness, willingness and objectivity to make the tough calls. One example of this is if the internal family talent has gaps, the executives need to be willing to recruit or promote key talent to fill the gaps to be the most effective team. When a family-owned business refuses this, this can be detrimental and create a problematic future. Like it or not, while family businesses can be exceptionally rewarding, they are still businesses at their core and must adapt effectively to be competitive or to survive future challenges.

Lastly, there is a competitive factor when it comes to succession in family-owned businesses. Most family members that are engaged in the business and in a leadership capacity tend to be highly competitive by nature. Adding to the sibling rivalry that they have faced throughout their life. So, with succession, how does the family keep these competitive forces in check while being aligned in a positive way?

The best way to overcome these challenges is to understand each person's leadership character traits and risks for ineffective behaviors or derailment. Additionally, learning about someone’s drivers, reward needs, or intrinsic motivation can help paint the big picture. When using these objective measures, the family leadership team can get an accurate reading of the talent of each family member as well as get a clear look at the leadership bench strength. There are validated assessment tools that can help business owners understand these characteristics such as in-depth character, risk and motivational measures geared toward leadership development, training and executive coaching.

For example, Jennifer was the CEO of a large residential and commercial real estate company. She was exemplary in the business, built strong relationships and was a go-getter in sales and marketing. Throughout her tenure, she hired top talent and had a natural executive presence. Her husband, George, was the CFO who had the typical high level, brilliant financial smarts and measured everything to the nth degree. Their family-owned business soared to become number one in the region competing with national franchises. As time went on, they planned to transition the business to their two sons. They saw John, one of their sons, as the heir for the CEO position because he excelled in fostering relationships and operations. Therefore, they also assumed he would just pick up on the marketing and sales that Jennifer was great at. This left the other son, Ray, as the new CFO because he was financially brilliant.

However, what Jennifer and George missed was that there were holes and gaps in each of the sons’ skill sets that didn’t quite align with the positions they were to succeed. With a thorough assessment through the CDR 3-D Suite and individual coaching and discussions, the mismatch became evident In fact, one of the sons said he would leave the company if forced to do the parent’s job role. The other son had similar comments. After investing in these helpful tools they re-created the executive roles to “fit” the sons’ profiles and needs. This required adding another key executive to lead marketing and sales for John since he excelled in operations leadership, financial management and relationship building. Ray took on some financial responsibilities but his primary role was business development. He focused on big ideas and business growth. A deep dive into his characteristics and drivers demonstrated how If he were to work with numbers routinely, he would be miserable which in turn would affect the business as a whole.

The lesson learned is that executives cannot necessarily force their children or family into the same boxes or job descriptions they have held. Sometimes, there needs to be a shift or redesign of the job description and scope of responsibility to best fit the incoming executives. The next generation will share some of the same strengths, but will also have different skills and weaknesses. Many will likely be motivated by different aspects of the work and if business owners are not able to identify these inherent capabilities and needs, succession can be unsuccessful.

In terms of conflict or tippy-toeing around difficult conversations, using data can help family-owned business executives and their family members get a clear and objective understanding of their respective talents and needs. The initial work goes a long way and keeps discussions productive and on track. Good data supports productive decisions so that everyone is in a win-win position. When approaching succession this way, generations will be placed in roles that best fit their personality and what they want to be doing. Without this type of data, it is easy to misalign roles which causes problematic performance and conflict and fosters a stressful work environment. When leaders are stressed, inherent risk factor behaviors manifest regularly, which damages performance and relationships. Bottom line, identifying these characteristics before planning succession and using objective assessments provide the data and the blueprint for family-owned businesses to design successful executive teams.

------

Nancy Parsons is the president and CEO at CDR Companies.

Ad Placement 300x100
Ad Placement 300x600

CultureMap Emails are Awesome

5 must-know fall application deadlines for Houston innovators

apply now

Editor's note: As fall reaches full swing, Houston's innovation scene is calling on the latest batch of founders and startups looking to make a difference. A number of accelerators have opened applications. Read below to see which might be a good fit for you or your venture. And take careful note of the deadlines. Please note: this article may be updated to include additional information and programs.

Did we miss an accelerator or competition accepting applications? Email innoeditor@innovationmap.com for editorial consideration.

Texas Life Science Forum

Deadline: Oct. 2

Details: Ventures can apply to present at the 15th annual Texas Life Science Forum, hosted by BioHouston and Rice Alliance. Participants will meet during office hours with venture capitalists, tech scouts, corporate venture groups and angel investors, and present their pitches in a public forum. Pitches take place on Nov. 10 and office hours are held Nov. 11. Find more information here.

Greentown Lab's Go Make 2027: Advanced Carbon Materials with ExxonMobil

Deadline: Oct. 9

Details: Greentown Labs is seeking applications from startups developing novel carbon-based technologies for its latest Go Make cohort in conjunction with ExxonMobil. The structured accelerator is designed to facilitate validation activities and explore potential long-term collaborations with Exxon, according to Greentown. Founders will have the opportunity to engage directly with industry leaders to test, validate and scale their carbon technologies in real commercial contexts. The program tentatively starts on Jan. 20, 2027 and concludes June 16, 2027. Find more information here.

Activate's U.S. Fellowship Cohort 2027

Deadline: Oct. 30

Details: Activate supports scientists at "the outset of their entrepreneurial journey." It partners with U.S.-based funders and research institutions to support its fellows in developing high-impact technology. Its fellows receive a living stipend, research and development funding, connections from Activate's robust network of mentors and access to a curriculum specific to the program for two years. Applicants must have a bachelor’s degree and 4-plus years of post-baccalaureate scientific research, engineering or technology development experience. Their work must be based in the physical or biological sciences or related engineering disciplines. Find more information here.

Rice Innovation Fellows

Deadline: Oct. 30

Details: The Liu Idea Lab for Innovation and Entrepreneurship (Lilie)'s Rice Innovation Fellows program supports Rice Ph.D. students and postdocs in turning their research into real-world ventures. Participants receive $10,000 in translational research funding, co-working space and personalized mentorship. Candidates from all Rice engineering and science-related disciplines are encouraged to apply. Find more information here.

The TMC's Accelerator for Cancer Therapeutics

Deadline: Oct. 30

Details: Texas-based ventures and researchers developing a cancer therapeutics project can apply to this accelerator funded by the Cancer Prevention and Research Institute of Texas. The nine-month program runs February-September 2027 and focuses on market research, FDA regulations, intellectual property, licensing, finance, fundraising, legal and other critical areas for cancer-related ventures. Participants will complete the program with at least one grant submission and have the option to pitch to investors, corporate partners, media and other influential guests. Find more information here.

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.