ChatGPT enhances creativity and problem-solving in ways that traditional search tools can’t match. Photo courtesy of Rice Business Wisdom

We all know ChatGPT has forever changed how we do business. It’s modified how we access information, compose content and analyze data. It’s revolutionized the future of work and education. And it has transformed the way we interact with technology.

Now, thanks to a recent paper by Jaeyeon (Jae) Chung (Rice Business), we also know it’s making us better problem solvers.

Key findings:

  • A recent study finds ChatGPT-generated ideas are deemed an average of 15% more creative than traditional methods.
  • ChatGPT enhances “incremental,” but not “radical,” innovation.
  • ChatGPT boosts creativity in tasks normally associated with human traits, like empathy-based challenges.

According to the study published in Nature Human Behavior by Chung and Byung Cheol Lee (University of Houston), ChatGPT enhances our problem-solving abilities, especially with everyday challenges. Whether coming up with gifts for your teenage niece or pondering what to do with an old tennis racquet, ChatGPT has a unique ability to generate creative ideas.

“Creative problem-solving often requires connecting different concepts in a cohesive way,” Chung says. “ChatGPT excels at this because it pulls from a vast range of data, enabling it to generate new combinations of ideas.”

Can ChatGPT Really Make Us More Creative?

Chung and Lee sought to answer a central question: Can ChatGPT help people think more creatively than traditional search engines? To answer this, they conducted five experiments.

Each experiment asked participants to generate ideas for solving challenges, such as how to repurpose household items. Depending on the experiment, participants were divided into one of two or three groups: one that used ChatGPT; one that used conventional web search tools (e.g., Google); and one that used no external tool at all. The resulting ideas were evaluated by both laypeople and business experts based on two critical aspects of creativity: originality and appropriateness (i.e., practicality).

In one standout experiment, participants were asked to come up with an idea for a dining table that doesn’t exist on the market. The ChatGPT group came up with suggestions like a “rotating table,” a “floating table” and even “a table that adjusts its height based on the dining experience.” According to both judges and experts, the ChatGPT group consistently delivered the most creative solutions.

On average, across all experiments, ideas generated with ChatGPT were rated 15% more creative than those produced by traditional methods. This was true even when tasks were specifically designed to require empathy or involved multiple constraints — tasks we typically assume humans might be better at performing.

However, Chung and Lee also found a caveat: While ChatGPT excels at generating ideas that are “incrementally” new — i.e., building on existing concepts — it struggles to produce “radically” new ideas that break from established patterns. “ChatGPT is an incredible tool for tweaking and improving existing ideas, but when it comes to disruptive innovation, humans still hold the upper hand,” Chung notes.

Charting the Next Steps in AI and Creativity

Chung and Lee’s paper opens the door to many exciting avenues for future study. For example, researchers could explore whether ChatGPT’s creative abilities extend to more complex, high-stakes problem-solving environments. Could AI be harnessed to develop groundbreaking solutions in fields like medicine, engineering or social policy? Understanding the nuances of the collaboration between humans and AI could shape the future of education, work and even (as many people fear) art.

For professionals in creative fields like product design or marketing, the study holds especially significant implications. The ability to rapidly generate fresh ideas can be a game-changer in industries where staying ahead of trends is vital. For now, take a second before you throw out that old tennis racquet. Ask ChatGPT for inspiration — you’ll be surprised at how many ideas it comes up with, and how quickly.

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This article originally appeared on Rice Business Wisdom. Based on research by Jaeyeon (Jae) Chung and Byung Cheol Lee (University of Houston). Lee and Chung, “An empirical investigation of the impact of ChatGPT on creativity.” Nature Human Behavior (2024): https://doi.org/10.1038/s41562-024-01953-1.


Here's what you should learn from social media influencers for your own business marketing. Photo via Getty Images

Key business marketing tips to take from top social media creators, according to these Houston researchers

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Influencer marketing is booming, with companies allocating 10 to 25 percent of their advertising budgets to influencer-led strategies. Between 2016 and 2020, the number of sponsored posts rose from 1.26 million to 6.12 million, and overall spending in the past few years has grown by billions.

When partnering with online ambassadors, brands certainly want a large influencer audience. However, audience size does not necessarily reflect the amount influencers are paid. Influencers with similar-sized audiences can be paid very different amounts.

That’s partly because brands also want an engaged influencer audience. An influencer may have many followers, but if those followers don’t actively interact with content, the influencer’s reach is limited. Engagement metrics like comments, shares and “likes” are often a more reliable indicator of impact than follower count alone.

The problem brands face — no matter who the influencer is — is that sponsored posts typically see a plunge in engagement, making it difficult to measure their success. Very little research examines this effect and how influencers can mitigate it.

In a new study, Rice Business professors Jae Chung and Ajay Kalra take up this issue, along with Stanford professor Yu Ding. According to the researchers, one way of boosting engagement overall, even on sponsored content where engagement often falls, is for influencers to increase audience perceptions of authenticity, perceived similarity, and interpersonal curiosity.

Even in a world full of filters and careful staging, authenticity is a key differentiator for leaders, businesses and personalities. One powerful way of appearing true to one’s own personality or character is to effectively share life stories. But social media influencers walk a fine line between presenting their authentic selves and monetizing their platforms.

To attract followers and content sponsors, influencers must curate the images they share, the words they say, and the timing and cadence of their posts. It’s a delicate dance between providing value through a genuine audience connection and aligning with brand interests.

Here are three simple but powerful ways that influencers can boost engagement by highlighting close relationships:

  • Post photos that include one or two close friends or family members.
  • Mention friends and family in the caption.
  • Use first-person language (e.g., “I,” “my” and “we”).

Referencing close social ties is an especially powerful way to boost engagement. According to Professor Chung, “Intimate social ties can make influencers seem more authentic and sponsored messaging seem less transactional.” This effect holds true even when controlling for variables like gender, frequency of posting, use of emojis and hashtags, and audience familiarity with the influencer.

The team analyzed over 55,000 Instagram posts from 763 top influencers during the second half of 2019. One of their most distinctive findings is that, in terms of boosting audience engagement, the ideal number of faces in a photo is three — the influencer plus two friends or family members. For an Instagram audience, this numerical face count proves a surprisingly effective metric for assessing the closeness of relationships.

Influencers can also seem more genuine to followers by referencing intimate social ties in their captions. Terms like “grandpa,” “bestie” and “soulmate” give followers access to an inner circle usually reserved for loved ones, making them feel more connected and invested in the influencer’s world and worldview.

In one experiment, study participants were shown a series of Instagram posts supposedly written by actor Jessica Alba. Testing the impact of language on the perception of close ties, the researchers wrote three different captions for the same image. One caption mentions Alba’s daughter (“Styling by my daughter. Isn’t this outfit cute?”). Another references a distant tie (“Styling by designer Kelmen. Isn’t this outfit cute?”). A third post provided a baseline by indicating no ties at all.

Study participants were asked to select which posts they liked most. The results supported the research hypothesis. Posts mentioning close relationships are significantly more likable than posts mentioning distant ties or no ties.

The team also examined the impact of expressing emotion on Instagram. Does sharing feelings — either positive or negative — help or hurt audience engagement? Using the Linguistic Inquiry and Word Count (LIWC) language processing program, the researchers categorized and analyzed the strength and valence of emotion-related words and emojis (e.g., “love,” “nice,” “frustrated,” “sad”).

What they found is surprising. Expressing emotion boosts audience engagement, perhaps because it bridges a perceived gap of celebrity between influencer and audience. But what’s interesting is that negative emotions are more powerful than positive ones. According to the researchers’ dataset, negative emotions are expressed only 9.08 percent of the time, while positive feelings are shared 36.03 percent of the time. So, one way of interpreting the finding is that the comparative rarity of negative feeling could take some readers by surprise, and thereby incite a stronger sense of authenticity.

Importantly, all of these findings regarding audience engagement most likely apply to platforms where a gray line exists between private and public life.

And, on this note, the researchers warn against the potential for oversharing and exploiting family and friends for the sake of monetizing content.

But the study shows how brands can strategically sponsor posts that incorporate close ties in photos, express emotion, or share anecdotes in first-person language.

By quantifying tactics to achieve a greater perception of authenticity, the research provides valuable guidance on how to cut through the noise on social media. One of the paths to a more engaged audience, it turns out, runs through an influencer’s inner circle.

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This article originally ran on Rice Business Wisdom and was based on research from Jaeyeon (Jae) Chung, an assistant professor of marketing at Rice Business, Yu Ding an assistant professor of marketing at Stanford Graduate School of Business, and Ajay Kalra, the Herbert S. Autrey Professor of Marketing at Rice Business.

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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.”