Research from a former Rice University professor linked the size of CEO signatures to ego. CEOs with big egos entered into more risky, unreliable deals. Pexels

You've just been named CEO of a Fortune 500 company. Your ego fills the room. The laws of gravity don't apply to you.

And naturally, you want to make an impact. So you pour money into mergers and acquisitions, and when you're not trying to acquire another firm, you guide company resources into research and development. You're a genius, and the world will soon be clinging to your every new product.

The only problem: your company will likely underperform. Research by former Rice Business visiting professor Sean Wang (now at Cox School of Business as SMU), along with Nicholas Seybert of the University of Maryland and Charles Ham of Washington University at St. Louis, reveals the high costs of an out of control CEO ego.

The researchers' first challenge was establishing who could legitimately be called a narcissist. What does the term mean, exactly? While there are varying definitions, Wang's team focused on narcissism as a basic personality trait rather than a mental illness. As a personality trait, narcissism is associated with entitlement, vanity, authority, and a sense of superiority.

To spot narcissists, the team took a novel approach: they examined their research subjects' signatures. Signature size turns out to be a handy measure for egos, because it doesn't require participants to answer direct questions about their personalities — and because participants are unlikely to know that ego can affect something as simple as a signature.

Just having a big ego, though, does not a narcissist make. To validate a link between a person's signature and narcissism, the researchers asked 53 graduate business students to provide their signatures by signing a document, and then to take a personality survey that measured narcissism. The findings documented that indeed there was a strong correlation between signature size and narcissism.

Next, the researchers obtained data from prior psychology research on employee perceptions of 32 technology-firm CEOs. Of the 24 CEOS for whom the researchers also had signature samples, they found a significant correlation between narcissism and signature size.

Armed with these findings, Wang and his colleagues were able to extrapolate the narcissistic traits of thousands of CEOs whose signatures were readily available on proxy statements and other corporate documents. The researchers ultimately studied 741 CEOs from 411 firms during the period between 1992 and 2015, corresponding to 6,361 firm-year observations with a median of eight fiscal years per CEO.

They found a pronounced behavior pattern. Firms led by narcissistic CEOs invested more in high-exposure areas such as research and development and mergers and acquisitions, but shied away from routine capital expenditures for day-to-day productivity. This trend was even more pronounced during periods of financial slack, suggesting that narcissistic CEOs prefer an aggressive management style whenever possible. Financial productivity delivered by these narcissistic CEOs in terms of profitability was lower than their less egotistic counterparts.

The research has multiple implications. Narcissistic leaders, past research shows, are prone to make bad decisions — in part because they are bad listeners. As a result, they often dominate the decision process without incorporating feedback or ideas from others. Ironically, they mistakenly perceive this behavior as a signal of competence and strong leadership.

To counter these bad habits, the researchers say, during periods of financial sluggishness investors and corporate boards should combat excessive narcissist-led investment by pushing for higher dividend payouts. Given that narcissistic CEOs overinvest in R&D, investors also need to closely monitor whether such investments represent real innovation or just vanity. Finally, boards of directors should be aware that narcissistic leaders tend to command higher salaries — and consider whether their CEO falls into this category, and is essentially getting higher pay for inferior performance.

In short, to really be as boss as they see themselves, narcissistic corporate leaders need to recognize their tendencies and rigorously check their egos. Boards, meanwhile, should closely monitor their CEO's priorities in directing firm resources. It could be the writing on the wall.

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This article originally ran on Rice Business Wisdom.

Sean Wang is a former visiting assistant professor of accounting at Jones Graduate School of Business at Rice University. He is now an assistant professor at Cox School of Business at SMU.

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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.”