It is important for hiring managers to be realistic as they approach recruiting and hiring timeframes and make smart hiring decisions. Photo via Getty Images

The January jobs report, per BLS, may be cause for celebration with 353,000 new jobs, but with a low unemployment rate of 3.7 percent, the tight labor market persists.

The same report states there were 2,000 more jobs in oil and gas extraction in January. Finding the right people for energy jobs can be a challenge right now as the industry has experienced flux the past few years. Many energy employers find key talent has moved into new industry verticals, drawn by the promise of increased stability.

Recruiting in the tech and energy sectors may be challenging, but the right candidates are out there. It is important for hiring managers to be realistic as they approach recruiting and hiring timeframes and make smart hiring decisions. The organization will be better off in the long run for this approach.

The following recruiting strategies are poised to support energy employers throughout the year.

Get personal.

Job candidates want to feel like their future employer is genuinely interested in them, which means recruiters should personalize the candidate’s experience. This starts by taking a holistic look at the hiring funnel and considering ways to make each candidate feel as though they are the only one you are talking to for the role.

Each touchpoint impacts how the candidate perceives the organization. The job description should inspire candidates, making them excited to apply and motivating them to dream about a future with your organization. Personalizing recruitment outreach messages to speak to their individual talents instead of a standard, generic message speaks volumes.

Moving through the hiring process as quickly as possible is important, but recruiting is about the long game. There are candidates who fall into place in a matter of days. Other times, you may have a conversation with a candidate months or even years before the timing is right for them to make a move. Asking about the candidate’s professional timeline and letting them know that you are willing to work with them, no matter how fast or slow, makes them feel special and valued by your company.

Be ready to compromise.

It has become hard to find the right fit for some of the energy jobs today. However, this does present an opportune moment for employers to reassess the conventional prerequisites typically required for specific positions. Criteria such as an exact college degree, a specified number of years of relevant experience, industry-specific expertise, an unbroken work history and proficiency in specific software applications are areas to reconsider in the job postings, job descriptions and interviews. This strategic adjustment broadens the talent pool and provides access to individuals whose suitability for a role might have been overlooked. Shifting away from stringent education backgrounds and narrowly defined experience, and instead prioritizing qualities such as adaptability and learning capabilities in the search for candidates, recruiters may discover a smoother path to securing qualified candidates.

Grow internal talent.

Recruitment today also means recruiting internally. The optimal approach to efficiently filling positions is promoting the role internally as existing employees have a vested interest and are deeply ingrained in the company’s culture. Their familiarity with colleagues, procedures and protocols facilitates a swift transition into new roles. In order for this to become a possibility, it’s imperative for leaders to nurture internal talent through professional development initiatives that equip employees with the skills needed for advancement. Tailored learning opportunities, mentorship and guidance for reskilling and upskilling can foster internal mobility, enhance employee retention and ensure sustained success. With all this in mind, recruiters should keep in close contact with management teams to discuss internal candidates and their career path.

There is no one way to recruit in 2024, but focusing on the individual and their skills as well as in-house candidates can make it a successful endeavor.

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Jill Chapman is a director of early talent programs with Insperity, a leading provider of human resources and business performance solutions.

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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.”