Here's what you should think about before rolling this hot new technology into your business. Photo via Getty Images

The world has been captivated by ChatGPT, an artificial intelligence program that can understand and respond to questions and statements using natural language, just like humans. It has been trained on a large amount of text data and uses this knowledge to generate helpful and informative responses to users.

As great and resourceful as this can be, there are some major aspects about it that can be harmful in a business setting, such as the inability to make personal connections. A sales manager using AI to write sales scripts cannot incorporate the emotional intelligence needed to form a connection. With the switch to AI and loss of this personal touch, the company’s close rate drops significantly, and the sales manager’s effort to find solution may just be to run more numbers in terms of contacts and sales attempts, which usually exacerbates the problem.

Another example of how ChatGPT can hurt your business is by relying on it to generate website and social media content. A business owner that believes ChatGPT will do the “heavy lifting” and grow his or her business is overlooking the importance of creating real and experiential marketing experiences for customers. Business owners can inadvertently spend entire budgets on AI driven social media ands and not have the sales numbers to cover these costs due to their low returns on investments for many industries and keep the business in operation.

The overarching theme, or danger behind ChatGPT, is that people are relying heavily on it to produce their work. After all, relying on technology is part of our human nature. When great technology is introduced, such as email, teleconferencing, AI assisted searching, etc., we rarely ask ‘how can this technology assist me?’ versus ‘how can this technology do things for me?’ The greater the technology, the greater likelihood humans will take the easiest path.

ChatGPT not only affects businesses, but it also applies to education. Teachers are already seeing a drop in math skills as kids carry around calculators. Just wait until next semester when educators are reading thousands of essays written by ChatGPT.

Just as we would hate to see our children deprive themselves of actual skills, the same can be said for our business people. Some of the main issues that arise from the use of ChatGPT are:

Diminishing Rates of Return

When we embrace technology to the point that we no longer put forth effort from a practiced skill set, we can expect to see declining engagement rates, click-through rates and customer loyalty. As of 2023, the online engagement rate has fallen from 5% to 0.06%. Click-through rates are not faring much better with a measly 6.3%. As these numbers continue to fall (which they have every year for the past couple decades now), we continue to just brush it off as this is how business is done.

Aversion in the Marketplace

People are becoming so displeased with technology driven processes (as opposed to technology assisted processes) that they have a strong aversion to companies using it. How many social media ads have prompted you to make a purchase? How many times do you provide a bogus email to a website form? When doing a search, how many times do you scroll to the bottom without looking and hit page two because you know you are not getting any real results on the first page anymore?

Yes, ChatGPT is cool and yes, there are some amazing uses you can implement into your business; however, do not look at it as the answer to any and all business problems. Embrace your craft as a leader and avoid subbing the work out to tech - doing so could cost you everything.

As a business owner myself, I am not opposed to technology. I am all in favor of what technology can do. However, there is no denying that the more we look to technology to do the work for us instead of with us, the more we see a drastic decline in the overall skill set of business people without an increase in business success rates.

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Josh Tolley is the founder of Kingsbridge LLC and is based in Houston.

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UH receives $2.6M gift to support opioid addiction research and treatment

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The estate of Dr. William A. Gibson has granted the University of Houston a $2.6 million gift to support and expand its opioid addiction research, including the development of a fentanyl vaccine that could block the drug's ability to enter the brain.

The gift builds upon a previous donation from the Gibson estate that honored the scientist’s late son Michael, who died from drug addiction in 2019. The original donation established the Michael C. Gibson Addiction Research Program in UH's department of psychology. The latest donation will establish the Michael Conner Gibson Endowed Professorship in Psychology and the Michael Conner Gibson Research Endowment in the College of Liberal Arts and Social Sciences.

“This incredibly generous gift will accelerate UH’s addiction research program and advance new approaches to treatment,” Daniel O’Connor, dean of the College of Liberal Arts and Social Sciences, said in a news release.

The Michael C. Gibson Addiction Research Program is led by UH professor of psychology Therese Kosten and Colin Haile, a founding member of the UH Drug Discovery Institute. Currently, the program produces high-profile drug research, including the fentanyl vaccine.

According to UH, the vaccine can eliminate the drug’s “high” and could have major implications for the nation’s opioid epidemic, as research reveals Opioid Use Disorder (OUD) is treatable.

The endowed professorship is combined with a one-to-one match from the Aspire Fund Challenge, a $50 million grant program established in 2019 by an anonymous donor. UH says the program has helped the university increase its number of endowed chairs and professorships, including this new position in the department of psychology.

“Our future discoveries will forever honor the memory of Michael Conner Gibson and the Gibson family,” O’Connor added in the release. “And I expect that the work supported by these endowments will eventually save many thousands of lives.”

CenterPoint and partners launch AI initiative to stabilize the power grid

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Houston-based utility company CenterPoint Energy is one of the founding partners of a new AI infrastructure initiative called Chain Reaction.

Software companies NVIDIA and Palantir have joined CenterPoint in forming Chain Reaction, which is aimed at speeding up AI buildouts for energy producers and distributors, data centers and infrastructure builders. Among the initiative’s goals are to stabilize and expand the power grid to meet growing demand from data centers, and to design and develop large data centers that can support AI activity.

“The energy infrastructure buildout is the industrial challenge of our generation,” Tristan Gruska, Palantir’s head of energy and infrastructure, says in a news release. “But the software that the sector relies on was not built for this moment. We have spent years quietly deploying systems that keep power plants running and grids reliable. Chain Reaction is the result of building from the ground up for the demands of AI.”

CenterPoint serves about 7 million customers in Texas, Indiana, Minnesota and Ohio. After Hurricane Beryl struck Houston in July 2024, CenterPoint committed to building a resilient power grid for the region and chose Palantir as its “software backbone.”

“Never before have technology and energy been so intertwined in determining the future course of American innovation, commercial growth, and economic security,” Jason Wells, chairman, president and CEO of CenterPoint, added in the release.

In November, the utility company got the go-ahead from the Public Utility Commission of Texas for a $2.9 billion upgrade of its Houston-area power grid. CenterPoint serves 2.9 million customers in a 12-county territory anchored by Houston.

A month earlier, CenterPoint launched a $65 billion, 10-year capital improvement plan to support rising demand for power across all of its service territories.

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This article originally appeared on our sister site, EnergyCapitalHTX.com.

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.