What is thought leadership and how can it help you achieve your marketing goals? This Houston expert explains. Photo via Getty Images

Did you know that 52 percent of decision-makers and 54 percent of C-level executives spend an hour or more per week reading thought leadership content? This is according to a recent Edelman and LinkedIn survey on thought leadership.

I often counsel my clients about the role of thought leadership in B2B marketing. Thought leadership remains a strategic approach that can set a company apart, establish credibility and a strong brand voice and position it as a trusted expert in its industry. But what exactly is thought leadership, and how can it support a B2B marketing strategy?

Why a thought leadership strategy matters

Thought leadership marks a commitment to provide value through insights beyond mere selling. It involves producing content and ideas that address the company's target audience's most pressing challenges and questions. This content helps position the company as a service partner, go-to resource and industry advisor.

Builds credibility and trust: Trust remains vital in a B2B context where longer sales cycles and purchasing decisions undergo scrutiny. Thought leadership lets a company demonstrate its expertise, solution-based thinking and value meaningfully to decision-makers. According to industry data, an estimated 75 percent of decision-makers say an organization's thought leadership content is more trustworthy for assessing its capabilities and competencies than its marketing and product sheets.

Differentiates from competitors: By sharing insights, a company can differentiate itself in a crowded market. Thought leadership helps companies stand out by proving their deep understanding of the customer's challenges and needs and the solutions available for more efficient and cost-effective operations.

Enhances brand awareness: Regular publication of insightful content, whether through blogs, webinars or white papers, can increase brand visibility and keep the company top of mind for customers and potential customers.

Supports sales efforts: Well-crafted thought leadership content can powerfully warm up leads. It provides sales teams with material that resonates with prospective customers' pain points and aspirations. According to the Edelman report, nine in 10 decision-makers and C-suite executives said that they are moderately or very likely to be receptive to sales or marketing outreach from a company that consistently produces high-quality thought leadership.

How to implement a thought leadership strategy

Identify key insights and topics: Start by understanding the questions and challenges the target audience faces. Use this insight to create content that addresses these issues, offers solutions or provides novel perspectives. Include strong research and data, and offer case studies or practical steps. Depending on where the audience spends its time, consider publishing on LinkedIn, industry blogs, podcasts or webinars.

Remember that consistency is key: Thought leadership isn't a one-and-done approach. Build an ongoing and consistent content program. Keeping to a schedule helps maintain audience engagement and reinforces the organization's position as an industry leader.

Measure and adapt: Like any marketing strategy, measuring the effectiveness of your thought leadership efforts remains critical. Setting clear objectives provides the foundation for defining success and measuring outcomes effectively. Metrics could include media coverage, website traffic, social media engagement and business development leads. Additionally, sales impact can be measured by actions such as first-time discovery calls and sales-qualified leads.

Thought leadership proves an invaluable strategy for B2B marketing. It aims to assert the expertise of a company and build meaningful connections with its audience. A business can establish a strong, credible brand that attracts and retains customers by providing valuable insights and solving real-world customer challenges through high-quality content.

------

Melanie Taplett provides communications and public relations services to the energy, manufacturing, technology, engineering and construction industries. Contact her at mtaplett@taplycom.com.

Ad Placement 300x100
Ad Placement 300x600

CultureMap Emails are Awesome

Houston researchers develop material to boost AI speed and cut energy use

ai research

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

Top Topics

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

jobs report

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.”