While nearly half of U.S. investors surveyed by Morgan Stanley want to invest in companies led by or making products and services for the LGBTQ community, these investments are difficult to find unless you know where to look.
Several LGBTQ-focused ETFs failed in recent years due to lack of investment, though stock investors can still put money in firms with openly queer leadership, such as Tim Cook at Apple. While opportunities for LGBTQ investments stretch across asset classes—startups attract the most attention.
For an answer as to whether this strategy can be successful, look at Grindr. One of the most prominent LGBTQ startups, the social networking app went public in 2022 and has a US$1.78 billion market cap today.
“Almost in every industry that exists, there is an LGBTQ person building [a company],” says Jackson Block, CEO of New York-based LGBT+ VC, a nonprofit addressing investment in the LGBTQ community. This means wide-ranging opportunities to invest in privately-held LGBTQ companies.
Identifying such investments often centres on two key criteria, says William Burckart, co-founder of Colorful Capital, a venture capital firm that invests in early-stage LGBTQ startups: Investors want to know whether someone in the community leads the company or if they are the target market for products and services.
Individuals and families can invest directly in companies getting off the ground or in a growing number of niche funds. Colorful Capital and Gaingels are among several firms that have formed specifically to address a longstanding lack of opportunities for LGBTQ startup founders. Others, like Backstage Capital or Elevate Capital, focus on underserved founders more broadly, including those who are LGBTQ.
According to research from StartOut, a San Francisco-headquartered LGBTQ entrepreneurship nonprofit, only 0.5% of venture funding goes to LGBTQ founders, yet they create 44% more exits, where equity investors earn capital gains through the sale or stock listing of the company, and 114% more patents than the average founder.
Colorful Capital chose to invest in seed- and early-stage funding after determining it was the “glaring gap” that needed to be filled based on conversations with LGBTQ founders, says Burckart.
Backstage Capital and Gaingels, which are syndicates with multiple investors, will support companies at several stages of development. Meanwhile, Elevate Capital, which counts 7% of founders it supports as LGBTQ, offers three funds for investors depending on what stage of investment and type of business they are interested in.
There are economic reasons to consider LGBTQ investments: Multiple studies show correlations between diversity among firm leadership and company performance as measured by internal rates of return, risk management factors, and firm valuations. “From a purely financial benefits perspective, there’s real value in beginning to embrace and integrate that kind of diverse thinking,” Burckart says.
Gaingels, whose members have invested more than US$800 million since 2019, principally invests in health, fintech, and enterprise software, according to Dealroom.co. Recent deals include taking part in a post-seed, series A funding round for San Francisco-based social care platform Grayce and a seed-funding round for Menlo Park, Calif.-based financial community platform AfterHour.
More than 70 unicorns—firms that have reached US$1 billion valuations—have been funded at different stages by Gaingels. These include Seattle-based, goal-oriented telehealth platform Ro and Dapper Labs, a Vancouver-based digital games and entertainment firm.
Block, whose organisation has a mission to educate, train, and mobilise 10,000 LGBTQ and ally investors by 2030, suggests wealthy investors enter the venture capital fray by becoming a limited partner in a fund. This allows investors to get involved with less risk and comparatively steady return expectations compared to angel investing.
Geographically, many LGBTQ companies attracting investment are North American, though regional funds exist in Europe and Latin America, Block says.
For wealthy families, investing in LGBTQ-related businesses can be a strategy to engage the next generation, as products and investment strategies that advance LGBTQ equity and inclusion are in high demand among younger investors (56% of millennials and 67% of Gen Z, according to Morgan Stanley). This is unsurprising, given that Gallup polling suggests more than one in five Gen Z adults and one in 10 millennials identify as LGBTQ.
Morgan Stanley’s Institute for Sustainable Investing estimates that those interested in LGBTQ investments control about one-third, or US$20 trillion of U.S. wealth managers’ assets under management. With the impending generational wealth transfer, the bank says control of interested investors could grow to nearly half of the assets under management at all wealth managers. Block expects that creating opportunities for LGBTQ fund managers will also help grow LGBTQ investments, and will create a “natural pipeline” for them to find roles with major investment banks.
In identifying investments, Morgan Stanley offers strategies that screen-out certain companies, says Emily Thomas, head of Investing with Impact, Morgan Stanley Wealth Management, the bank’s platform featuring funds and other investment vehicles for values-based investing.
“Per our survey, 76% of investors interested in LGBTQ impact objectives are also interested in the ability to exclude companies that don’t explicitly include protections for LGBTQ people in their labour rights policies,” Thomas says.

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There are also companies owned or run by individuals with family and friends who are LGBTQ and want to make sure their company helps support and gives back to the community.
Recently, a banking executive spoke about their experience being raised by lesbian parents at an LGBT+ VC ally event. Morgan Stanley reports 76% of heterosexual investors with an LGBTQ household member want such investment options, more than the general population.
The biggest barrier to finding LGBTQ investment strategies is being able to gather data on the community, Thomas says.
Individuals can have reservations about sharing information regarding sexual orientation or gender identity—54% of LGBTQ individuals in the U.S. live in areas without state-level protections. Ongoing stigma against the community also prevents some people from openly identifying as LGBTQ.
“Only with more data can we know the extent of inclusion in, and exclusion from, the structures that make up the foundation upon which the U.S. economy is built,” Colorful Capital said in a May report.
(There are forces trying to change this. Earlier this year, the U.S. Census Bureau’s monthly American Community Survey announced it is looking into asking about sexual orientation and gender identity.)
Because of the sensitive nature of data and laws around personally identifiable information, there isn’t readily available data on the percent of employees who identify as LGBTQ or what representation looks like at senior levels, unlike for gender diversity. Comparably more data is available on corporate policies on LGBTQ matters, so some asset managers use that to identify companies as investments, Thomas says.
“For example, [an] asset manager can tilt portfolios toward companies that offer domestic partner benefits to same-sex couples,” she says. Other strategies could include screening for companies that offer LGBTQ diversity training or have not faced Equal Employment Opportunity Commission disciplinary actions. Investors can also use benchmarks such as the Human Rights Campaign Corporate Equality Index, which scores about 1,400 publicly and privately held firms on several areas of LGBTQ policies and practices, including whether they offer domestic partner and transgender-inclusive benefits,
Institutional Allocators for Diversity, Equity, & Inclusion, a nonprofit group of asset owners aiming to promote those principles within investment management, has a publicly available diverse manager database, which allows funds to self-report LGBTQ affiliation, Thomas says.
A divide has opened in the tech job market between those with artificial-intelligence skills and everyone else.
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A divide has opened in the tech job market between those with artificial-intelligence skills and everyone else.
There has rarely, if ever, been so much tech talent available in the job market. Yet many tech companies say good help is hard to find.
What gives?
U.S. colleges more than doubled the number of computer-science degrees awarded from 2013 to 2022, according to federal data. Then came round after round of layoffs at Google, Meta, Amazon, and others.
The Bureau of Labor Statistics predicts businesses will employ 6% fewer computer programmers in 2034 than they did last year.
All of this should, in theory, mean there is an ample supply of eager, capable engineers ready for hire.
But in their feverish pursuit of artificial-intelligence supremacy, employers say there aren’t enough people with the most in-demand skills. The few perceived as AI savants can command multimillion-dollar pay packages. On a second tier of AI savvy, workers can rake in close to $1 million a year .
Landing a job is tough for most everyone else.
Frustrated job seekers contend businesses could expand the AI talent pipeline with a little imagination. The argument is companies should accept that relatively few people have AI-specific experience because the technology is so new. They ought to focus on identifying candidates with transferable skills and let those people learn on the job.
Often, though, companies seem to hold out for dream candidates with deep backgrounds in machine learning. Many AI-related roles go unfilled for weeks or months—or get taken off job boards only to be reposted soon after.
Playing a different game
It is difficult to define what makes an AI all-star, but I’m sorry to report that it’s probably not whatever you’re doing.
Maybe you’re learning how to work more efficiently with the aid of ChatGPT and its robotic brethren. Perhaps you’re taking one of those innumerable AI certificate courses.
You might as well be playing pickup basketball at your local YMCA in hopes of being signed by the Los Angeles Lakers. The AI minds that companies truly covet are almost as rare as professional athletes.
“We’re talking about hundreds of people in the world, at the most,” says Cristóbal Valenzuela, chief executive of Runway, which makes AI image and video tools.
He describes it like this: Picture an AI model as a machine with 1,000 dials. The goal is to train the machine to detect patterns and predict outcomes. To do this, you have to feed it reams of data and know which dials to adjust—and by how much.
The universe of people with the right touch is confined to those with uncanny intuition, genius-level smarts or the foresight (possibly luck) to go into AI many years ago, before it was all the rage.
As a venture-backed startup with about 120 employees, Runway doesn’t necessarily vie with Silicon Valley giants for the AI job market’s version of LeBron James. But when I spoke with Valenzuela recently, his company was advertising base salaries of up to $440,000 for an engineering manager and $490,000 for a director of machine learning.
A job listing like one of these might attract 2,000 applicants in a week, Valenzuela says, and there is a decent chance he won’t pick any of them. A lot of people who claim to be AI literate merely produce “workslop”—generic, low-quality material. He spends a lot of time reading academic journals and browsing GitHub portfolios, and recruiting people whose work impresses him.
In addition to an uncommon skill set, companies trying to win in the hypercompetitive AI arena are scouting for commitment bordering on fanaticism .
Daniel Park is seeking three new members for his nine-person startup. He says he will wait a year or longer if that’s what it takes to fill roles with advertised base salaries of up to $500,000.
He’s looking for “prodigies” willing to work seven days a week. Much of the team lives together in a six-bedroom house in San Francisco.
If this sounds like a lonely existence, Park’s team members may be able to solve their own problem. His company, Pickle, aims to develop personalised AI companions akin to Tony Stark’s Jarvis in “Iron Man.”
Overlooked
James Strawn wasn’t an AI early adopter, and the father of two teenagers doesn’t want to sacrifice his personal life for a job. He is beginning to wonder whether there is still a place for people like him in the tech sector.
He was laid off over the summer after 25 years at Adobe , where he was a senior software quality-assurance engineer. Strawn, 55, started as a contractor and recalls his hiring as a leap of faith by the company.
He had been an artist and graphic designer. The managers who interviewed him figured he could use that background to help make Illustrator and other Adobe software more user-friendly.
Looking for work now, he doesn’t see the same willingness by companies to take a chance on someone whose résumé isn’t a perfect match to the job description. He’s had one interview since his layoff.
“I always thought my years of experience at a high-profile company would at least be enough to get me interviews where I could explain how I could contribute,” says Strawn, who is taking foundational AI courses. “It’s just not like that.”
The trouble for people starting out in AI—whether recent grads or job switchers like Strawn—is that companies see them as a dime a dozen.
“There’s this AI arms race, and the fact of the matter is entry-level people aren’t going to help you win it,” says Matt Massucci, CEO of the tech recruiting firm Hirewell. “There’s this concept of the 10x engineer—the one engineer who can do the work of 10. That’s what companies are really leaning into and paying for.”
He adds that companies can automate some low-level engineering tasks, which frees up more money to throw at high-end talent.
It’s a dynamic that creates a few handsomely paid haves and a lot more have-nots.
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