The SEC expanded its definition of accredited investors, so now is the time for potential venture capitalists and angels to step up. Pexels

This month. the Security and Exchange Commission, or SEC, modified the definition of "accredited investor," with the effect of dramatically increasing the number of people eligible to participate in non-publicly traded investments.

The SEC definition of accredited investor establishes requirements for who may invest in private deals, startups, and private funds. These rules are meant to protect individuals from investing in assets that are high risk and have little publicly accessible information.

Historically, accredited investor status was limited to those that met certain wealth or income thresholds — specifically, a net worth of $1 million excluding primary residence, or $200,000 in annual income for an individual or $300,000 combined annual income for married couples. The SEC's thinking was that higher net worth individuals or higher earners likely have the sophistication to evaluate the risks and the ability to financially withstand potentially losing money they invested in a private investment.

However, with fewer companies going public and an increased interest in participating in private deals, startups, and funds many have suggested the accredited investor rule appeared more and more antiquated.

The SEC's new definition adds individuals with certain professional certifications (Series 7, Series 65, or Series 82 license) and "knowledgeable employees" at private funds, regardless of an individual's level of wealth or income.

Now, individuals with heavy involvement in and responsibility for investment activities and those with financial certifications are assumed to have the financial sophistication and ability to assess the risks of private investments. The SEC also added the clients and employees of family offices, which are investment arms of high net worth families. In addition, the SEC also expanded the married couples' income calculation to include "spousal equivalent" to capture non-married couples.

It remains to be seen whether these additions to the definition of accredited investors will add a significant number of new angel investors, as many of the individuals with such certifications already meet the previous net worth or income requirements. The startup ecosystem, however, has welcomed the move away from wealth and income criteria, as a good first step toward opening the private offering markets to more qualified individuals.

If you now find yourself meeting any of these qualifications of accredited investor, what now? The Houston Angel Network is a great resource to help you navigate these new waters, by providing a framework and network to learn how to evaluate investment opportunities. A common rule of thumb is that nine out of ten startups fail and will return zero dollars to investors. It is prudent to invest in several startups or through a fund with experienced and capable managers to get the needed diversification to expect a return on your investment in this asset class.

Angel networks throughout the country exist to educate accredited investors and provide a network of sophisticated and experienced individuals across industries to support due diligence. By working together and learning from experienced investors, newly accredited investors can avoid common investment mistakes and can develop skills to evaluate non-public investment opportunities.

The upshot of the expansion of accredited investors is that the SEC still expects such investors to be sophisticated and well educated about investment opportunities with high risks and rewards. Investors new to non-public markets should consider joining a network like the Houston Angel Network, where they can see hundreds of startups a year and learn from experienced investors.

Additionally, new accredited investors can engage in the local startup community by volunteering their services as a mentor at a local startup development organization like the Ion, Rice Alliance, Capital Factory, Mass Challenge, Plug and Play and many more. If you are considering investing in startups or a fund, please reach out to us at the Houston Angel Network for more ways to get involved and learn.

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Stephanie Campbell is managing director of Houston Angel Network and co-founder of The Artemis Fund.

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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.”