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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Tech giant Apple doubles down on Houston with new production facility

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Tech giant Apple announced that it will double the size of its Houston manufacturing footprint as it brings production of its Mac mini to the U.S. for the first time.

The company plans to begin production of its compact desktop computer at a new factory at Apple’s Houston manufacturing site later this year. The move is expected to create thousands of jobs in the Houston area, according to Apple.

Last year, the Cupertino, California-based company announced it would open a 250,000-square-foot factory to produce servers for its data centers in the Houston area. The facility was originally slated to open in 2026, but Apple reports it began production ahead of schedule in 2025.

The addition of the Mac mini operations at the site will bring the footprint to about 500,000 square feet, the Houston Chronicle reports. The New York Times previously reported that Taiwanese electronics manufacturer Foxconn would be involved in the Houston factory.

Apple also announced plans to open a 20,000-square-foot Advanced Manufacturing Center in Houston later this year. The project is currently under construction and will "provide hands-on training in advanced manufacturing techniques to students, supplier employees, and American businesses of all sizes," according to the announcement. Apple opened a similar Apple Manufacturing Academy in Detroit last year.

Apple doubles down on Houston with new production facility, training center Photo courtesy Apple.

“Apple is deeply committed to the future of American manufacturing, and we’re proud to significantly expand our footprint in Houston with the production of Mac mini starting later this year,” Tim Cook, Apple’s CEO, said in the news release. “We began shipping advanced AI servers from Houston ahead of schedule, and we’re excited to accelerate that work even further.”

Apple's Houston expansion is part of a $600 billion commitment the company made to the U.S. in 2025.

Houston energy trailblazer Fervo taps into hottest reservoir to date

Heating Up

Things are heating up at Houston-based geothermal power company Fervo Energy.

Fervo recently drilled its hottest well so far at a new geothermal site in western Utah. Fewer than 11 days of drilling more than 11,000 feet deep at Project Blanford showed temperatures above 555 degrees Fahrenheit, which exceeds requirements for commercial viability. Fervo used proprietary AI-driven analytics for the test.

Hotter geothermal reservoirs produce more energy and improve what’s known as energy conversion efficiency, which is the ratio of useful energy output to total energy input.

“Fervo’s exploration strategy has always been underpinned by the seamless integration of cutting-edge data acquisition and advanced analytics,” Jack Norbeck, Fervo’s co-founder and chief technology officer, said in a news release. “This latest ultra-high temperature discovery highlights our team’s ability to detect and develop EGS sweet spots using AI-enhanced geophysical techniques.”

Fervo says an independent review confirms the site’s multigigawatt potential.

The company has increasingly tapped into hotter and hotter geothermal reservoirs, going from 365 degrees at Project Red to 400 degrees at Cape Station and now more than 555 degrees at Blanford.

The new site expands Fervo’s geologic footprint. The Blanford reservoir consists of sedimentary formations such as sandstones, claystones and carbonates, which can be drilled more easily and cost-effectively than more commonly targeted granite formations.

Fervo ranks among the top-funded startups in the Houston area. Since its founding in 2017, the company has raised about $1.5 billion. In January, Fervo filed for an IPO that would value the company at $2 billion to $3 billion, according to

Axios Pro.

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This article originally appeared on EnergyCapitalHTX.com.

11 Houston researchers named to Rice innovation cohort

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The Liu Idea Lab for Innovation and Entrepreneurship (Lilie) has named 11 students and researchers with breakthrough ideas to its 2026 Rice Innovation Fellows cohort.

The program, first launched in 2022, aims to support 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.

The eleven 2026 Innovation Fellows are:

Ehsan Aalaei, Bioengineering, Ph.D. 2027

Professor Michael King Laboratory

Aalaei is developing new therapies to prevent the spread of cancer.

Matt Lee, Bioengineering, Ph.D. 2027

Professor Caleb Bashor Laboratory

Lee’s work uses AI to design the genetic instructions for more effective therapies.

Thomas Howlett, Bioengineering, Postdoctoral 2028

Professor Kelsey Swingle Laboratory

Howlett is developing a self-administered, nonhormonal treatment for heavy menstrual bleeding.

Jonathan Montes, Bioengineering, Ph.D. 2025

Professor Jessica Butts Laboratory

Montes and his team are developing a fast-acting, long-lasting nasal spray to relieve chronic and acute anxiety.

Siliang Li, BioSciences, Postdoctoral 2025

Professor Caroline Ajo-Franklin Laboratory

Li is developing noninvasive devices that can quickly monitor gut health signals.

Gina Pizzo, Statistics, Lecturer

Pizzo’s research uses data modeling to forecast crop performance and soil health.

Alex Sadamune, Bioengineering, Ph.D. 2027

Professor Chong Xie Laboratory

Sadamune is working to scale the production of high-precision neural implants.

Jaeho Shin, Chemistry, Postdoctoral 2027

Professor James M. Tour Laboratory

Shin is developing next-generation semiconductor and memory technologies to advance computing and AI.

Will Schmid, Electrical and Computer Engineering, Postdoctoral 2025

Professor Alessandro Alabastri Laboratory

Schmid is developing scalable technologies to recover critical minerals from high-salinity resources.

Khadija Zanna, Electrical and Computer Engineering, Ph.D. 2026

Professor Akane Sano Laboratory

Zanna is building machine learning tools to help companies deploy advanced AI in compliance with complex global regulations.

Ava Zoba, Materials Science and Nano Engineering, Ph.D. 2029

Professor Christina Tringides Laboratory

Zoba is designing implantable devices to improve the monitoring of brain function following tumor-removal surgery.

According to Rice, its Innovation Fellows have gone on to raise over $30 million and join top programs, including The Activate Fellowship, Chain Reaction Innovations Fellowship, the Texas Medical Center’s Cancer Therapeutics Accelerator and the Rice Biotech Launch Pad. Past participants include ventures like Helix Earth Technologies and HEXASpec.

“These fellows aren’t just advancing science — they’re building the future of industry here at Rice,” Kyle Judah, Lilie’s executive director, said in a news release. “Alongside their faculty members, they’re stepping into the uncertainty of turning research into real-world solutions. That commitment is rare, and it’s exactly why Lilie and Rice are proud to stand shoulder-to-shoulder with them and nurture their ambition to take on civilization-scale problems that truly matter.”