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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Houston unicorn closes $421M to fuel first phase of flagship energy project

Heating Up

Houston geothermal unicorn Fervo Energy has closed $421 million in non-recourse debt financing for the first phase of its flagship Cape Station project in Beaver County, Utah.

Fervo believes Cape Station can meet the needs of surging power demand from data centers, domestic manufacturing and an energy market aiming to use clean and reliable power. According to the company, Cape Station will begin delivering its first power to the grid this year and is expected to reach approximately 100 megwatts of operating capacity by early 2027. Fervo added that it plans to scale to 500 megawatts.

The $421 million financing package includes a $309 million construction-to-term loan, a $61 million tax credit bridge loan, and a $51 million letter of credit facility. The facilities will fund the remaining construction costs for the first phase of Cape Station, and will also support the project’s counterparty credit support requirements.

Coordinating lead arrangers include Barclays, BBVA, HSBC, MUFG, RBC and Société Générale, with additional participation from Bank of America, J.P. Morgan and Sumitomo Mitsui Trust Bank, Limited, New York Branch.

“As demand for firm, clean, affordable power accelerates, EGS (Enhanced Geothermal Systems) is set to become a core energy asset class for infrastructure lenders,” Sean Pollock, managing director, project Finance at RBC Capital Markets, said in a news release. “Fervo is pioneering this step change with Cape Station, a vital contribution to American energy security that RBC is proud to support.”

The oversubscribed financing marks Cape Station’s shift from early-stage and bridge funding to a long-term, non-recourse capital structure, according to the news release.

“Non-recourse financing has historically been considered out of reach for first-of-a-kind projects,” David Ulrey, CFO of Fervo Energy, said in a news release. “Cape Station disrupts that narrative. With proven oil and gas technology paired with AI-enabled drilling and exploration, robust commercial offtake, operational consistency, and an unrelenting focus on health and safety, we have shown that EGS is a highly bankable asset class.”

Fervo continues to be one of the top-funded startups in the Houston area. The company has raised about $1.5 billion prior to the latest $421 million. It also closed a $462 million Series E in December.

According to Axios Pro, Fervo filed for an IPO that would value the company between $2 billion and $3 billion in January.

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This article first appeared on EnergyCapitalHTX.com.

Houston food giant Sysco to acquire competitor in $29 billion deal

Mergers & Acquisitions

Sysco, the nation's largest food distributor, will acquire supplier Restaurant Depot in a deal worth more than $29 billion.

The acquisition would create a closer link between Sysco and its customers that right now turn to Restaurant Depot for supplies needed quickly in an industry segment known as “cash-and-carry wholesale.”

Sysco, based in Houston, serves more than 700,000 restaurants, hospitals, schools, and hotels, supplying them with everything from butter and eggs to napkins. Those goods are typically acquired ahead of time based on how much traffic that restaurants typically see.

Restaurant Depot offers memberships to mom-and-pop restaurants and other businesses, giving them access to warehouses stocked with supplies for when they run short of what they've purchased from suppliers like Sysco.

It is a fast growing and high-margin segment that will likely mean thousands of restaurants will rely increasingly on Sysco for day-to-day needs.

Restaurant Depot shareholders will receive $21.6 billion in cash and 91.5 million Sysco shares. Based on Sysco’s closing share price of $81.80 as of March 27, 2026, the deal has an enterprise value of about $29.1 billion.

Restaurant Depot was founded in Brooklyn in 1976. The family-run business then known as Jetro Restaurant Depot, has become the nation's largest cash-and-carry wholesaler.

The boards of both companies have approved the acquisition, but it would still need regulatory approval.

Shares of Sysco Corp. tumbled 13% Monday to $71.26, an initial decline some industry analysts expected given the cost of the deal.

Houston researcher builds radar to make self-driving cars safer

eyes on the road

A Rice University researcher is giving autonomous vehicles an “extra set of eyes.”

Current autonomous vehicles (AVs) can have an incomplete view of their surroundings, and challenges like pedestrian movement, low-light conditions and adverse weather only compound these visibility limitations.

Kun Woo Cho, a postdoctoral researcher in the lab of Rice professor of electrical and computer engineering Ashutosh Sabharwal, has developed EyeDAR to help address such issues and enhance the vehicles’ sensing accuracy. Her research was supported in part by the National Science Foundation.

The EyeDAR is an orange-sized, low-power, millimeter-wave radar that could be placed at streetlights and intersections. Its design was inspired by that of the human eye. Researchers envision that the low-cost sensors could help ensure that AVs always pick up on emergent obstacles, even when the vehicles are not within proper range for their onboard sensors and when visibility is limited.

“Current automotive sensor systems like cameras and lidar struggle with poor visibility such as you would encounter due to rain or fog or in low-lighting conditions,” Cho said in a news release. “Radar, on the other hand, operates reliably in all weather and lighting conditions and can even see through obstacles.”

Signals from a typical radar system scatter when they encounter an obstacle. Some of the signal is reflected back to the source, but most of it is often lost. In the case of AVs, this means that "pedestrians emerging from behind large vehicles, cars creeping forward at intersections or cyclists approaching at odd angles can easily go unnoticed," according to Rice.

EyeDAR, however, works to capture lost radar reflections, determine their direction and report them back to the AV in a sequence of 0s and 1s.

“Like blinking Morse code,” Cho added. “EyeDAR is a talking sensor⎯it is a first instance of integrating radar sensing and communication functionality in a single design.”

After testing, EyeDAR was able to resolve target directions 200 times faster than conventional radar designs.

While EyeDAR currently targets risks associated with AVs, particularly in high-traffic urban areas, researchers also believe the technology behind it could complement artificial intelligence efforts and be integrated into robots, drones and wearable platforms.

“EyeDAR is an example of what I like to call ‘analog computing,’” Cho added in the release. “Over the past two decades, people have been focusing on the digital and software side of computation, and the analog, hardware side has been lagging behind. I want to explore this overlooked analog design space.”