Despite billions spent on diversity programs, conferences, coding camps, and corporate pledges, the share of women in U.S. technology jobs has barely shifted in fifteen years. Now, with D.E.I. initiatives under federal assault, researchers fear the clock is turning back entirely.
In the spring of 2010, Reshma Saujani was campaigning for a congressional seat in New York and visiting public schools across the city. What she found in the computer labs stopped her cold: rows of boys learning to code, and almost no girls in sight. That gap would send her on a decade-and-a-half crusade to rebalance the technology workforce, eventually founding Girls Who Code, which has since reached more than 300,000 young women across all 50 states.
By almost any reasonable reckoning, the effort should have made a difference. And yet the headline statistic has barely budged. Women held roughly 26 percent of computing-related occupations in the United States in 2012, according to data collected by the National Center for Women and Information Technology. A decade later, the figure stood at an estimated 27.6 percent. Analysts at the European Centre for Women and Technology noted that just one-quarter of computing roles were held by women in 2015, and that the figure “has remained consistent today.” The needle, in other words, barely moved.
Women as a Share of U.S. Computing Roles (selected years)
1984
~35%
1991
~37%
2012
26%
2015
25%
2022
27.6%
2023
~32%*
*The 2023 figure reflects a broader industry definition that includes non-technical roles such as product, sales, and operations. The narrower computing-only share remains near 25%. Sources: NCWIT, ECWT, BLS Current Population Survey, Women in Tech Network.
The stagnation is all the more striking because it represents a reversal from the industry’s own history. According to data compiled by AIPRM, women made up roughly 35 percent of the computing workforce in 1984. Over the following three decades, that share fell dramatically, the result of a cultural shift in how computer science was marketed, taught, and perceived. And since 2010, despite an explosion of awareness campaigns, corporate diversity programs, and legislative attention, the decline has simply leveled off, not reversed.
“When I started Girls Who Code to close the gender gap in tech, I was naive,” Saujani wrote in a widely shared essay. “I thought what we were facing was only a pipeline problem, and we would close the gap if we just taught more girls how to code.” The reality, she concluded, was something deeper and more resistant to fix: a culture problem, one embedded in hiring practices, management structures, and the informal networks that determine who advances and who is quietly pushed out.
25%
Women in technical computing roles at America’s five largest tech companies, per Deloitte’s 2024 report
11%
Women holding executive positions in the tech industry, per McKinsey’s 2024 analysis
1%
Share of total U.S. venture capital that went to companies founded solely by women in 2024, per PitchBook
A Pipeline That Leaks at Every Joint
Researchers who have tracked women’s representation across the full arc of a technology career describe what they call the “leaky pipeline.” The metaphor has been examined critically in the MIT Science Policy Review, which notes that it risks making women’s departure from tech look like a passive, inevitable process, obscuring the structural pressures that actively push them out: unconscious bias in code reviews and promotion decisions, inadequate parental leave, the expectation that women perform more committee work and mentorship duties, and the chronic undercitation of women’s research contributions. The pipeline metaphor, a 2024 study in the International Journal of STEM Education concluded, “oversimplifies and overlooks the complexity of education and employment pathways” and can lead policymakers toward solutions that address symptoms rather than causes.
The numbers behind the leak are sobering. According to a study by Girls Who Code and Accenture, women decide to leave their technology careers at a rate 45 percent higher than men. Nearly 57 percent of women in tech report experiencing gender-based discrimination, with 48 percent saying they have faced bias specifically regarding their technical competence, compared to just 10 percent of men. Almost half cite poor work-life balance as a primary reason for leaving a role. And while the industry likes to talk about recruiting more women, the harder problem, researchers say, is retention.
The educational pipeline has also stalled in ways that complicate any optimistic narrative. The proportion of undergraduate computer science degrees awarded to women has fallen from 37 percent in 1985 to roughly 20 percent today. The National Science Foundation’s most recent data show that only about 21 percent of those earning a bachelor’s degree in computer and information sciences are women. As one 2023 paper by economist John Speer in the Economics of Education Review found, the single largest contributor to the gender gap in STEM careers is the initial decision about what to study, a choice shaped long before a young woman ever applies for a job.
“We’ve seen progress on entry-level hiring, but we haven’t made a dent at the leadership level. The question on my mind is: How do we avoid the pitfalls of fields like medicine and law that closed the entry-level gap but haven’t seen movement at the top?”Reshma Saujani, founder of Girls Who Code, in an interview with EDUCAUSE Review
Big Tech’s Numbers Tell the Same Story
Each of America’s five largest technology companies publishes its workforce diversity figures, and each tells a version of the same story. According to self-reported data compiled by Statista, women make up between 29 percent and 45 percent of the total headcount at Google, Apple, Meta, Amazon, and Microsoft. Those figures sound almost encouraging, until you disaggregate them. When researchers look specifically at technical roles rather than the full workforce including marketing, human resources, and operations, the numbers collapse. Women hold fewer than one in four technical roles at each of those companies.
The narrowing becomes starker the further up the ladder one looks. Between 2021 and 2024, women and non-binary individuals occupied just 15 percent of C-suite positions, including CIO and CTO roles, within NASDAQ-100 technology companies. McKinsey’s most recent analysis places women at just 11 percent of tech executive positions industry-wide. And among companies that filed for initial public offerings in 2025, 88 percent had one or zero women on their boards, and 93 percent had one or zero women in their C-suites, according to data from Equilar.
The venture funding gap is perhaps the most structurally entrenched of all the inequities. In 2024, companies founded solely by women received just 1 percent of total U.S. venture capital, down from 2 percent the previous year, according to PitchBook. All-female founding teams collectively raised 2.2 percent of total capital allocated. This matters beyond the symbolism of a dispiriting number: companies founded by women, or with women on founding teams, tend to hire more diverse technical staff throughout their growth, creating a compounding effect that is now, effectively, compounding in reverse.
The Coming Headwinds
For years, advocates could point to at least one structural force working in their favor: corporate diversity, equity, and inclusion programs backed by federal contractor requirements and, in many companies, genuine institutional commitment. That force is now substantially diminished.
On January 20, 2025, President Trump signed an executive order titled “Ending Radical And Wasteful Government DEI Programs And Preferencing,” which rescinded executive orders stretching back 60 years that had required federal contractors to implement affirmative action programs. A day later, a second order directed the Justice Department to investigate and penalize what the administration characterized as illegal diversity practices in the private sector.
The corporate response was immediate. Google announced in February that it would retire its aspirational diversity hiring targets, which had included a goal of increasing the representation of people from underrepresented groups in leadership by 30 percent. Amazon had already announced a halt to several DEI programs in December 2024. The rollback, advocates noted, was not merely symbolic: it dismantled the measurement systems, the accountability mechanisms, and the internal advocate roles that had been the actual machinery of change, imperfect as that machinery was.
“In the prior Trump administration, we found that harassment of women increased on job sites without these anti-discrimination initiatives,” said Meg Vasey, a former electrician and policy committee co-chair at the National Taskforce on Tradeswomen’s Issues, in an interview with CNBC. “This, no doubt, will increase and intensify that, not just for women, but for people of color, and then double for women of color.” Though her focus is the skilled trades rather than Silicon Valley, advocates in technology say the dynamic she describes is the same.
What Fifteen Years of Effort Actually Produced
The question that haunts researchers is not simply why the numbers haven’t moved further, but what explains the stubborn floor. The answer, most conclude, is that the interventions of the past fifteen years have not been worthless. They have successfully brought more women to the entry level and somewhat expanded the pool of women who earn computer science degrees, even as that percentage remains dismal. What they have largely failed to do is change the conditions those women encounter once they arrive.
Research from the social impact advisory firm Dalberg, drawing on first-hand accounts from more than 500 women leaders across sectors and more than 60 women of color in STEM specifically, found that the most durable changes come not from pipeline programs but from structural interventions: transparent compensation bands, formal promotion processes with defined criteria, genuine flexibility in how and where people work, and measurable accountability for leaders whose teams consistently lose women at the mid-career stage.
STEM occupations are projected to grow by 8.1 percent from 2024 to 2034, far faster than the overall workforce. There are more than 800,000 unfilled computing jobs in the United States today, and economists have calculated that reducing female attrition from the field by just 25 percent would add 220,000 workers to the talent pool. The opportunity cost of the status quo, in other words, is not merely a matter of equity. It is a matter of competitiveness.
The artificial intelligence wave now reshaping the industry threatens to deepen the divide in new ways. According to the Stanford AI Index 2024, women hold just 22 percent of AI roles globally and only 18 percent of AI researchers worldwide. A 2024 BCG report found that junior women in technology are less likely than their male peers to be included in generative AI pilots and strategy discussions, creating an awareness gap that may compound over time as AI reshapes which skills command premium salaries.
None of this means the effort has been in vain. Reshma Saujani is still at it, having expanded her advocacy to the structural barriers that force mothers out of the workforce entirely, working to push paid family leave through Congress and launching PaidLeave.ai in 2023 to help parents access benefits they are already entitled to. Girls Who Code alumni choose computer science majors at 15 times the national average for women. Harvey Mudd College famously redesigned its computer science program to feel more welcoming, shifting the introductory course’s title from “Introduction to Symbolic Programming” to “Beauty and the Joy of Computing,” and raised the share of women pursuing CS majors from 10 percent to more than 50 percent in less than a decade.
But those are individual bright spots in a landscape that, when measured from above, still looks largely the same as it did in 2010. One in four. The number that didn’t move.
Methodology and sources: Workforce representation data draws on the Bureau of Labor Statistics Current Population Survey, the National Center for Women and Information Technology (NCWIT) Scorecard, the National Science Foundation’s Science and Engineering Indicators, McKinsey and LeanIn.org’s Women in the Workplace (2024 and 2025 editions), the Stanford AI Index 2024, and PitchBook venture capital tracking. Individual company figures are drawn from each company’s self-reported annual diversity reports. Historical computing workforce data (1984, 1991) is from NCWIT and AIPRM aggregated research. Quotes have been verified against their original published sources and are linked inline. Figures for “tech” and “computing” are not identical; computing roles exclude managerial, sales, and support functions and consistently show lower female representation than broader industry counts.
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