Skip to content
Tiatra, LLCTiatra, LLC
Tiatra, LLC
Information Technology Solutions for Washington, DC Government Agencies
  • Home
  • About Us
  • Services
    • IT Engineering and Support
    • Software Development
    • Information Assurance and Testing
    • Project and Program Management
  • Clients & Partners
  • Careers
  • News
  • Contact
 
  • Home
  • About Us
  • Services
    • IT Engineering and Support
    • Software Development
    • Information Assurance and Testing
    • Project and Program Management
  • Clients & Partners
  • Careers
  • News
  • Contact

5 reasons why the tech industry is failing women

Women continue to face uphill battles in the tech industry on the back of years of mass tech layoffs and corporate rollbacks of DEI programs. Despite making up 42% of the overall labor workforce globally, women only represent 26 to 28% in tech, and 25% of STEM workers, according to data from WomenTech Network.

That’s an 8% rise in representation from 1970, but far from reaching parity 55 years later. STEM jobs are expected to grow more than 8% nationally by 2034, compared to just 2.7% for non-STEM jobs. Yet despite burgeoning opportunities in the field, the gender gap persists and equity in tech has flatlined in recent years.

Statistics from the following five facets of IT careers, from pursuing a degree to navigating the workplace environment, paint an alarming picture of the challenges women face in finding equal footing in IT.

1. Lack of representation in tech

Despite making public commitments to DEI over the years, representation of women continues to lag behind men at some of the biggest tech companies, according to data from WTN. Amazon reports the highest percentage of representation at 45%, followed by Meta (37%), Apple (35%), Google (34%), and Microsoft (32%), but continues to weaken further up the ladder as junior roles see the highest representation of female talent in the applicant pools, then drop off for mid-level, and again for senior-level jobs.

Software engineering jobs in particular show a drastic disparity, with around 25% fewer female applicants across junior and mid-level roles, and the numbers decline further for cross-functional senior-level roles like those in ERP and UI/UX design where there’s often 25% fewer female applicants.

At the management and C-level, women are more disproportionately underrepresented, holding around 24% of STEM managerial roles and just over 12% of C-suite positions, according to data from the World Economic Forum and LinkedIn. Further data from McKinsey show that in the past year, only 93 women were promoted to manager-level positions for every 100 men, and 74 women of color were promoted for every 100 men.

2. The degree gap

Data from the Bureau of Labor Statistics (BLS) shows that STEM occupations have grown 79% over the past three decades and are projected to increase another 11% by 2030. But the National Science Foundation finds that the gender gap in STEM fields continues to persist, even at the academic level.

Women make up around 21% of those earning a bachelor’s degree in computer and information sciences, 22% in engineering and engineering technology, 35% in economics, and 39% in physical sciences. Greater disparities exist for women of color, with Black women accounting for only 9% of those earning computer science degrees, and Hispanic women representing only 8% of master’s degree recipients in these fields.

When it comes to advanced degrees, only 30% of master’s degrees in engineering and computer sciences are awarded to women, dropping to 24% for doctoral degrees, according to Society of Women Engineers. And it’ll only become more difficult to foster gender diversity in the tech industry if colleges and universities don’t also look at the DEI of their STEM degree programs.

Of course, once a diploma is earned, the real work begins, and here the numbers for women in tech are even more troubling. Only 38% of women who majored in computer science are working in the field compared to 53% of men, according to the National Science Foundation. This is a consistent trend dubbed a leaky pipeline, where it’s difficult to retain women in STEM jobs once they’ve graduated with a STEM degree.

3. Retention issues

Women leave the tech industry at 45% higher rates than men, and 50% of women leave the tech industry by age 35 compared to only 20% for other industries, according to Accenture.

Despite being underrepresented in the industry, women are also disproportionately impacted by layoffs. In 2022, during the mass tech layoffs, just over 69% were female employees, based off a WTN study of nearly 5,000 profiles from over 50 companies. Women are 1.6 times more likely to face layoffs, and with so much instability for women in the industry, it’s no surprise that 57% of women in technology, media, and telecom (TMT) say they plan to leave their jobs within two years, pointing to poor work-life balances.

Between the increased likelihood of being laid off and still experiencing microaggressions at work, it’s growing increasingly difficult to recruit and retain women. In fact, the average tenure for women in tech is 3.1 years versus 4.2 years for men, according to BLS.

The WTN report also shows that 64% of women say they’ve been spoken over in meetings, 19% have felt pigeonholed by stereotypes of their gender, and 11% say they’ve been asked to supply the food during a meeting, despite the task being out of their job requirements. Other microaggressions include gendered language and being asked to take meeting minutes.

In addition, WTN found that 65% of tech recruiters also acknowledge bias in hiring, with 66% of women saying they lack clear career advancement paths in their companies. Although there have been consistent demands for DEI, the tech industry has failed to create a welcoming environment for women.

4. Sponsorship and mentorship gap

Sponsorship is one of the cornerstones of career progression, especially for those on the leadership track. But data from McKinsey’s 2025 Women in the Workplace report shows that women are sponsored less often than men. And even when they do have sponsors, women are still 15% less likely to be promoted as men with sponsors. Women of color face an even steeper battle in tech in that while only 25% of C-level leaders are women, only 5% of that is represented by BIPOC women.

Senior level members will be critical to help climb the ladder, but most leaders are inherently drawn to mentees and protégées who remind them of themselves. This creates an additional problem for underrepresented groups in any industry, as they don’t have as many leaders to look to for mentorship and sponsorship, or leaders who will naturally gravitate toward them.

This atmosphere also deters women from seeking promotions, especially if they don’t see a clear path to the support they’ll need to be successful at the role. McKinsey found that 84% of senior-level women want to be promoted compared to 92% of senior-level men, and those same women also say they were more likely to have already been passed over for a promotion and didn’t see a realistic path to the top.

McKinsey points out these stats culminate in a smaller pool of female candidates for higher-level positions, which makes it nearly impossible for them to ever catch up in terms of representation within these roles.

5. Pay gap

The pay gap between women and men continues to persist, with women earning nearly $15,000 less than men every year. The average annual salary for males in STEM is $85,000 compared to $60,828 for females, a number that drops down to $52,000 per year when isolated for Latina and Black women. Latina women earn, on average, nearly half of what the average, white, non-Hispanic man makes in the industry, so they’d have to work nearly two extra years to bridge the disparity in annual pay.

Women in tech and AI

Women are underrepresented in AI fields as well, making up around a quarter of the AI-related workforce, according to data from Deloitte. Globally, only 12% of AI researchers are women, and they currently hold around 16% of AI tenure-track faculty roles.

Entry and mid-level women are adopting AI slower (33%) than their male counterparts (44%), mostly due to concerns around ethics and young women reporting lower confidence (56%) surrounding AI skills compared to young men (74%). However, in an encouraging trend, senior-level women are adopting AI up to 16% faster than their male counterparts.

Deloitte also points to a trust gap between women and men when it comes to AI. Women are less likely to say that AI boosts their productivity (41%) compared to men (61%), and while women gain more trust of AI the more they get comfortable using AI tools, they start out with lower trust levels than men on average. Only 18% of women who say they were experimenting with AI indicate they had high or very high levels of trust for the technology, compared to 31% of men.

Data from the WEC and LinkedIn also show women are more likely to be employed in roles that will be disrupted, rather than augmented, by AI. In the US, 24% of men work in augmented occupations compared to just 20% of women. And women are more likely to work in positions being disrupted (34%) compared to men (25%). This of course leaves even more questions about the future of women in tech, as barriers continue to pop up that impact the industry’s ability to reach full gender equality.

This article was originally published on January 23, 2020, and updated on March 8, 2024.

More on Women in IT

  • Gender gapped: The state of gender diversity in IT
  • Women IT leaders bring fresh perspectives to corporate boards
  • 6 worthwhile conferences for women in tech
  • 20 organizations for women in tech
  • 12 awards that recognize women in tech
  • 7 factors women look for in an IT employer — and how to address them


Read More from This Article: 5 reasons why the tech industry is failing women
Source: News

Category: NewsMarch 27, 2026
Tags: art

Post navigation

PreviousPrevious post:CIOs reimagine software’s future as AI agents advanceNextNext post:Translating AI investment into enterprise performance

Related posts

샤오미, MIT 라이선스 ‘미모 V2.5’ 공개···장시간 실행 AI 에이전트 시장 겨냥
April 29, 2026
SAS makes AI governance the centerpiece of its agent strategy
April 29, 2026
The boardroom divide: Why cyber resilience is a cultural asset
April 28, 2026
Samsung Galaxy AI for business: Productivity meets security
April 28, 2026
Startup tackles knowledge graphs to improve AI accuracy
April 28, 2026
AI won’t fix your data problems. Data engineering will
April 28, 2026
Recent Posts
  • 샤오미, MIT 라이선스 ‘미모 V2.5’ 공개···장시간 실행 AI 에이전트 시장 겨냥
  • SAS makes AI governance the centerpiece of its agent strategy
  • The boardroom divide: Why cyber resilience is a cultural asset
  • Samsung Galaxy AI for business: Productivity meets security
  • Startup tackles knowledge graphs to improve AI accuracy
Recent Comments
    Archives
    • April 2026
    • March 2026
    • February 2026
    • January 2026
    • December 2025
    • November 2025
    • October 2025
    • September 2025
    • August 2025
    • July 2025
    • June 2025
    • May 2025
    • April 2025
    • March 2025
    • February 2025
    • January 2025
    • December 2024
    • November 2024
    • October 2024
    • September 2024
    • August 2024
    • July 2024
    • June 2024
    • May 2024
    • April 2024
    • March 2024
    • February 2024
    • January 2024
    • December 2023
    • November 2023
    • October 2023
    • September 2023
    • August 2023
    • July 2023
    • June 2023
    • May 2023
    • April 2023
    • March 2023
    • February 2023
    • January 2023
    • December 2022
    • November 2022
    • October 2022
    • September 2022
    • August 2022
    • July 2022
    • June 2022
    • May 2022
    • April 2022
    • March 2022
    • February 2022
    • January 2022
    • December 2021
    • November 2021
    • October 2021
    • September 2021
    • August 2021
    • July 2021
    • June 2021
    • May 2021
    • April 2021
    • March 2021
    • February 2021
    • January 2021
    • December 2020
    • November 2020
    • October 2020
    • September 2020
    • August 2020
    • July 2020
    • June 2020
    • May 2020
    • April 2020
    • January 2020
    • December 2019
    • November 2019
    • October 2019
    • September 2019
    • August 2019
    • July 2019
    • June 2019
    • May 2019
    • April 2019
    • March 2019
    • February 2019
    • January 2019
    • December 2018
    • November 2018
    • October 2018
    • September 2018
    • August 2018
    • July 2018
    • June 2018
    • May 2018
    • April 2018
    • March 2018
    • February 2018
    • January 2018
    • December 2017
    • November 2017
    • October 2017
    • September 2017
    • August 2017
    • July 2017
    • June 2017
    • May 2017
    • April 2017
    • March 2017
    • February 2017
    • January 2017
    Categories
    • News
    Meta
    • Log in
    • Entries feed
    • Comments feed
    • WordPress.org
    Tiatra LLC.

    Tiatra, LLC, based in the Washington, DC metropolitan area, proudly serves federal government agencies, organizations that work with the government and other commercial businesses and organizations. Tiatra specializes in a broad range of information technology (IT) development and management services incorporating solid engineering, attention to client needs, and meeting or exceeding any security parameters required. Our small yet innovative company is structured with a full complement of the necessary technical experts, working with hands-on management, to provide a high level of service and competitive pricing for your systems and engineering requirements.

    Find us on:

    FacebookTwitterLinkedin

    Submitclear

    Tiatra, LLC
    Copyright 2016. All rights reserved.