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.

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Nancy Parsons is the president and CEO at CDR Companies.

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Houston researchers develop material to boost AI speed and cut energy use

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A team of researchers at the University of Houston has developed an innovative thin-film material that they believe will make AI devices faster and more energy efficient.

AI data centers consume massive amounts of electricity and use large cooling systems to operate, adding a strain on overall energy consumption.

“AI has made our energy needs explode,” Alamgir Karim, Dow Chair and Welch Foundation Professor at the William A. Brookshire Department of Chemical and Biomolecular Engineering at UH, explained in a news release. “Many AI data centers employ vast cooling systems that consume large amounts of electricity to keep the thousands of servers with integrated circuit chips running optimally at low temperatures to maintain high data processing speed, have shorter response time and extend chip lifetime.”

In a report recently published in ACS Nano, Karim and a team of researchers introduced a specialized two-dimensional thin film dielectric, or electric insulator. The film, which does not store electricity, could be used to replace traditional, heat-generating components in integrated circuit chips, which are essential hardware powering AI.

The thinner film material aims to reduce the significant energy cost and heat produced by the high-performance computing necessary for AI.

Karim and his former doctoral student, Maninderjeet Singh, used Nobel prize-winning organic framework materials to develop the film. Singh, now a postdoctoral researcher at Columbia University, developed the materials during his doctoral training at UH, along with Devin Shaffer, a UH professor of civil engineering, and doctoral student Erin Schroeder.

Their study shows that dielectrics with high permittivity (high-k) store more electrical energy and dissipate more energy as heat than those with low-k materials. Karim focused on low-k materials made from light elements, like carbon, that would allow chips to run cooler and faster.

The team then created new materials with carbon and other light elements, forming covalently bonded sheetlike films with highly porous crystalline structures using a process known as synthetic interfacial polymerization. Then they studied their electronic properties and applications in devices.

According to the report, the film was suitable for high-voltage, high-power devices while maintaining thermal stability at elevated operating temperatures.

“These next-generation materials are expected to boost the performance of AI and conventional electronics devices significantly,” Singh added in the release.

Houston to become 'global leader in brain health' and more innovation news

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Editor's note: The most-read Houston innovation news this month is centered around brain health, from the launch of Project Metis to Rice''s new Amyloid Mechanism and Disease Center. Here are the five most popular InnovationMap stories from December 1-15, 2025:

1. Houston institutions launch Project Metis to position region as global leader in brain health

The Rice Brain Institute, UTMB's Moody Brain Health Institute and Memorial Hermann’s comprehensive neurology care department will lead Project Metis. Photo via Unsplash.

Leaders in Houston's health care and innovation sectors have joined the Center for Houston’s Future to launch an initiative that aims to make the Greater Houston Area "the global leader of brain health." The multi-year Project Metis, named after the Greek goddess of wisdom and deep thought, will be led by the newly formed Rice Brain Institute, The University of Texas Medical Branch's Moody Brain Health Institute and Memorial Hermann’s comprehensive neurology care department. The initiative comes on the heels of Texas voters overwhelmingly approving a ballot measure to launch the $3 billion, state-funded Dementia Prevention and Research Institute of Texas (DPRIT). Continue reading.

2.Rice University researchers unveil new model that could sharpen MRI scans

New findings from a team of Rice University researchers could enhance MRI clarity. Photo via Unsplash.

Researchers at Rice University, in collaboration with Oak Ridge National Laboratory, have developed a new model that could lead to sharper imaging and safer diagnostics using magnetic resonance imaging, or MRI. In a study published in The Journal of Chemical Physics, the team of researchers showed how they used the Fokker-Planck equation to better understand how water molecules respond to contrast agents in a process known as “relaxation.” Continue reading.

3. Rice University launches new center to study roots of Alzheimer’s and Parkinson’s

The new Amyloid Mechanism and Disease Center will serve as the neuroscience branch of Rice’s Brain Institute. Photo via Unsplash.

Rice University has launched its new Amyloid Mechanism and Disease Center, which aims to uncover the molecular origins of Alzheimer’s, Parkinson’s and other amyloid-related diseases. The center will bring together Rice faculty in chemistry, biophysics, cell biology and biochemistry to study how protein aggregates called amyloids form, spread and harm brain cells. It will serve as the neuroscience branch of the Rice Brain Institute, which was also recently established. Continue reading.

4. Baylor center receives $10M NIH grant to continue rare disease research

BCM's Center for Precision Medicine Models has received funding that will allow it to study more complex diseases. Photo via Getty Images

Baylor College of Medicine’s Center for Precision Medicine Models has received a $10 million, five-year grant from the National Institutes of Health that will allow it to continue its work studying rare genetic diseases. The Center for Precision Medicine Models creates customized cell, fly and mouse models that mimic specific genetic variations found in patients, helping scientists to better understand how genetic changes cause disease and explore potential treatments. Continue reading.

5. Luxury transportation startup connects Houston with Austin and San Antonio

Shutto is a new option for Houston commuters. Photo courtesy of Shutto

Houston business and leisure travelers have a luxe new way to hop between Texas cities. Transportation startup Shutto has launched luxury van service connecting San Antonio, Austin, and Houston, offering travelers a comfortable alternative to flying or long-haul rideshare. Continue reading.

Texas falls to bottom of national list for AI-related job openings

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For all the hoopla over AI in the American workforce, Texas’ share of AI-related job openings falls short of every state except Pennsylvania and Florida.

A study by Unit4, a provider of cloud-based enterprise resource planning (ERP) software for businesses, puts Texas at No. 49 among the states with the highest share of AI-focused jobs. Just 9.39 percent of Texas job postings examined by Unit4 mentioned AI.

Behind Texas are No. 49 Pennsylvania (9.24 percent of jobs related to AI) and No. 50 Florida (9.04 percent). One spot ahead of Texas, at No. 47, is California (9.56 percent).

Unit4 notes that Texas’ and Florida’s low rankings show “AI hiring concentration isn’t necessarily tied to population size or GDP.”

“For years, California, Texas, and New York dominated tech hiring, but that’s changing fast. High living costs, remote work culture, and the democratization of AI tools mean smaller states can now compete,” Unit4 spokesperson Mark Baars said in a release.

The No. 1 state is Wyoming, where 20.38 percent of job openings were related to AI. The Cowboy State was followed by Vermont at No. 2 (20.34 percent) and Rhode Island at No. 3 (19.74 percent).

“A company in Wyoming can hire an AI engineer from anywhere, and startups in Vermont can build powerful AI systems without being based in Silicon Valley,” Baars added.

The study analyzed LinkedIn job postings across all 50 states to determine which ones were leading in AI employment. Unit4 came up with percentages by dividing the total number of job postings in a state by the total number of AI-related job postings.

Experts suggest that while states like Texas, California and Florida “have a vast number of total job postings, the sheer volume of non-AI jobs dilutes their AI concentration ratio,” according to Unit4. “Moreover, many major tech firms headquartered in California are outsourcing AI roles to smaller, more affordable markets, creating a redistribution of AI employment opportunities.”