International Women’s Day 2026: Why Gender Equality in Tech Remains Unfinished Business

Every March, we pause to celebrate International Women’s Day, and every year the conversation feels remarkably similar. We share statistics about women’s underrepresentation in technology, we applaud the few female founders who’ve managed to break through the ceiling, and we declare our commitment to change. Yet when the calendar flips to April, the structural barriers remain largely intact. As someone who’s spent the last several years building a venture fund in the AI sector, I can tell you with certainty: the problem isn’t a lack of awareness. The problem is a lack of genuine systemic change. This year, on what would be the fifth International Women’s Day since Nexatech Ventures launched, I want to talk honestly about where we actually stand, what the data really shows, and why the tech industry’s diversity problem is ultimately a competitiveness problem we can’t afford to ignore.

The Numbers That Should Shock Us

Let’s start with what the data tells us about women in UK technology. According to the latest figures from the Tech Talent Charter, women make up only 24% of the tech workforce across the United Kingdom, despite representing 47% of the overall workforce. This gap isn’t new, and it’s not improving at the pace it should be. If you narrow your focus to senior technical roles—the positions that shape product direction and company culture—that percentage plummets to 16%. In leadership positions at tech companies, women account for just 19% of directors and senior managers. These aren’t edge cases or anomalies. This is the mainstream reality of the technology industry in 2026.

The venture capital landscape tells an even more troubling story. Last year, according to data compiled by British Private Equity & Venture Capital Association, only 8.3% of venture funding went to companies founded entirely or partially by women. This represents a slight improvement from previous years, but we’re still talking about a massive imbalance. When you look specifically at early-stage funding—the crucial seed and Series A rounds that determine which companies survive—women founders face particular challenges. They’re more likely to receive smaller cheques, longer due diligence periods, and questions about their ability to scale that male founders rarely encounter. I’ve witnessed this pattern repeatedly during my time in venture. The bias isn’t always conscious, but it’s relentless.

The Gender Pay Gap in Technology: A Persistent Problem

One of the most measurable ways to assess whether an industry values its female employees equally is to examine the pay gap. In the UK technology sector, women earn on average 15-17% less than their male counterparts in equivalent roles. The Office for National Statistics data from 2025 showed that this gap persists even when you control for experience level and position. At junior levels, the gap is smaller—perhaps 8-10%—but it widens considerably as you move up the career ladder. By the time you reach senior technical and leadership positions, women earn significantly less for the same work. This isn’t because women are asking for lower salaries. Research from salary negotiation studies shows that women who negotiate as aggressively as men still end up with smaller increases, often because they face social friction—sometimes characterised as ‘aggressive’ or ‘difficult’—that their male counterparts don’t encounter.

What makes this gap even more troubling is its cumulative effect over a career. A woman who earns 15% less per year will have a significantly smaller retirement fund by age 65. She’ll have less capital to invest in her own ventures or projects. She’ll have a reduced ability to take career risks that might actually accelerate her advancement. The pay gap isn’t just unfair in the moment—it’s a mechanism that compounds disadvantage over decades. And in an industry that’s largely structured around meritocracy and competition, accepting this gap suggests we don’t actually believe in meritocratic principles when it comes to gender.

Venture Capital and the Female Founder Disparity

One of the most striking insights I’ve encountered through my work at Nexatech is how the venture capital system itself perpetuates the problem. Venture investing relies heavily on pattern recognition—investors look for founders who remind them of previous successful founders. Given that the vast majority of successful tech founders and investors historically have been male, this creates a compounding loop of disadvantage for female founders. A woman with a brilliant idea for an AI application might find herself sitting opposite a panel of investors who lack the frame of reference to understand her vision in the same way they’d understand a male founder’s pitch.

Moreover, female founders face different questioning during due diligence. Research from Boston Consulting Group found that female founders are asked more questions about their ability to protect their wealth, whilst male founders are asked about their ability to create wealth. Female founders are questioned about how they’ll maintain work-life balance; male founders are asked about their growth ambitions. These different framings create different outcomes. Investors ask about downside risk for women and upside potential for men. This difference in questioning style doesn’t reflect any actual difference in capability—it reflects investor bias, often unconscious, but nonetheless consequential.

The Retention Crisis We Don’t Talk About Enough

Beyond recruitment and funding, the technology industry faces a serious retention problem when it comes to women. Women leave tech jobs at significantly higher rates than men. The reasons are varied: lack of advancement opportunities, inadequate support for parenthood, workplace cultures that don’t feel inclusive, insufficient mentorship, and sometimes outright discrimination or harassment. According to data from McKinsey’s research into UK tech, women are 40% more likely to leave their tech roles compared to men at the same career level. This turnover costs companies in ways that go beyond simple replacement expenses. It means losing expertise, disrupting team dynamics, and perpetuating cycles where there are fewer women at senior levels available to mentor junior women.

What’s particularly concerning is that the exit rate accelerates at critical career junctures. Women are most likely to leave when considering parenthood, when they’re about to be promoted, or when they’ve hit a glass ceiling and can see that advancement isn’t coming. These departures aren’t random losses of talent—they’re losses of women at the exact moments when they could be breaking through barriers and changing the composition of leadership. When I talk to female technologists about their career decisions, many describe feeling like they have to choose between building a family and building a career in ways their male colleagues simply don’t face.

Cultural Factors That Still Drive Women Away

The technical barriers to women’s advancement in tech are supported by cultural factors that often go unexamined. Many technology companies have workplace cultures that were built in the early days by homogeneous teams of young male engineers. These cultures valued certain traits—aggressive competitiveness, an ‘always-on’ work ethic, a particular sense of humour—that weren’t necessarily chosen because they’re optimal for building great technology. They were simply what emerged from the specific makeup of those early teams. As the industry has grown, these cultures have persisted with remarkable stubbornness, even as the demographics of tech have started to shift.

I’ve observed this in numerous ways during my time in venture. Networking events tend to be structured around activities—drinking, playing video games, watching sports—that were traditionally coded as male. Slack channels and casual conversations often include crude humour or references that make some women feel unwelcome. Technical discussions can become unnecessarily aggressive, with ‘devil’s advocate’ positions being taken just to argue, rather than to actually solve problems. These aren’t intentional acts of exclusion in most cases, but they accumulate into an environment where women feel like guests rather than members of the community. When you feel like a guest, you’re far less likely to stay long-term.

How Bias Enters the Recruitment Process

Even the initial recruitment process in tech companies carries embedded biases that make it harder for women to get hired into good roles. Job descriptions themselves often use language that appeals more to male candidates—words like ‘aggressive’, ‘dominant’, ‘competitive’—research has shown that women self-select out of opportunities when they perceive these as requirements. Additionally, many tech companies still rely heavily on referral hiring, which naturally reproduces the existing demographic composition. If your current team is 75% male, and you hire primarily through referrals from current employees, you’re going to remain 75% male, regardless of how talented women applicants might be.

Structured interviews with clear criteria reduce bias, yet many tech companies still rely on conversation-based interviewing where the interviewer’s gut feeling is the primary factor. Research consistently shows that we experience unconscious bias during these unstructured interactions. We feel more comfortable with people who remind us of ourselves. We interpret ambiguous statements more favourably from people we like. We give people the benefit of the doubt more readily. None of this is intentional, but it creates a process where women have to be significantly more impressive to receive the same assessment as their male counterparts.

The Mentorship and Sponsorship Gap

One of the most important but least discussed factors in career advancement is sponsorship—not just having someone who mentors you, but having someone with power who actively advocates for you in rooms where decisions are made. Research shows that men are significantly more likely to have male sponsors, and senior leaders are predominantly male. This creates a structural disadvantage for women. A woman can have the same qualifications and experience as a man, but if she lacks a powerful sponsor advocating for her, she’s far less likely to get promoted, get interesting project assignments, or get access to the networks that matter in tech.

Interestingly, women actually tend to receive mentorship at equal or higher rates than men. The problem is that mentorship without sponsorship is insufficient for advancement. Someone can tell you how to navigate the political landscape and develop your skills, but if they’re not also actively working to open doors for you, you’ll eventually hit a ceiling. The gender breakdown of senior leaders means that most sponsorship relationships are between men, leaving women with fewer pathways to powerful advocates. This isn’t something that diversity trainings or mentorship programmes typically address, yet it’s arguably more important than any other single factor in career progression.

What Nexatech Ventures Is Doing Differently

At Nexatech, we’ve made a deliberate choice to move beyond surface-level diversity commitments. Our investment thesis specifically values female-founded companies and mixed-gender teams, not because of quota requirements, but because we believe—and the data supports—that diverse teams build better products and capture larger markets. More practically, we’ve had to examine our own processes to eliminate the biases that naturally accumulate in venture investing. We use structured scoring systems rather than purely intuitive decision-making. We explicitly seek diverse deal flow rather than relying on our existing networks. We pay attention to the composition of our own team, ensuring that women are in positions where they can sponsor other founders.

Beyond our investment decisions, we’ve committed to using our position in the ecosystem to advocate for change. We speak publicly about the companies we’ve funded that have female founders. We write publicly about the disparity in venture funding. We participate in industry groups pushing for better standards. We mentor young women interested in tech and venture. These aren’t revolutionary steps, but they’re concrete actions taken in addition to our regular work. What I’ve learned through this is that organisations don’t change because they decide to become more diverse. They change when diverse talent is actively brought in, supported, and given real power to shape decisions.

The Economic Case for Gender Equality in Tech

Beyond the moral case for gender equality—and it’s a strong one—there’s a compelling economic case that we too often gloss over. The UK technology sector contributes approximately £184 billion annually to the economy and employs nearly 1.4 million people. At its current trajectory, this sector is projected to be a major driver of economic growth over the next decade. Yet we’re operating at a significant disadvantage by systematically excluding half the population from full participation in this growth.

When we exclude women from tech careers, we’re excluding talent, ideas, and perspectives that could accelerate innovation. Research from Boston Consulting Group found that companies with above-average diversity rankings report innovation revenues that are 19% higher than companies with below-average diversity rankings. This isn’t correlation; there’s a causal mechanism at play. Diverse teams challenge each other’s assumptions more rigorously. They catch blind spots. They understand broader markets because they themselves represent broader populations. An AI product designed only by men will reflect male perspectives and potentially replicate male biases. An AI product designed by mixed teams is more likely to work equitably for everyone.

The International Dimension: How Other Countries Are Moving Faster

One of the most sobering observations I’ve made in my work internationally is that the UK’s technology industry isn’t leading on gender equity—we’re actually lagging behind several other developed economies. Germany, for instance, has implemented mandatory board representation requirements that mandate at least 30% women on corporate boards. This has had cascading effects through their economy, creating more pathways to leadership for women. The European Union’s proposed regulations on AI include requirements that development teams include diverse perspectives, effectively creating structural incentives for hiring women in tech. Meanwhile, in the UK, we’re still largely relying on voluntary commitments from individual companies.

This isn’t an argument for the UK to simply copy every regulation that comes from Brussels. But it’s worth acknowledging that other developed economies have chosen to take structural action on gender equality rather than waiting for market forces to solve the problem naturally. Market forces haven’t solved this problem in tech for decades, despite economic growth, talent shortages, and increasing recognition that diversity matters. At some point, we need to acknowledge that voluntary approaches aren’t sufficient, and that structural change requires structural interventions.

What Individual Women in Tech Can Control

Having outlined all these systemic problems, I want to be clear: I’m not suggesting that women in tech are powerless victims. Many women have thrived in this industry despite these barriers, and there are concrete actions individuals can take to advance their careers. Developing deep technical expertise remains one of the most valuable assets in tech—it’s harder to deny someone’s competence when they can genuinely solve hard problems. Being strategic about sponsorship—actively building relationships with senior people who have power—matters enormously. Being willing to negotiate aggressively for salary, equity, and opportunities pays off substantially over a career. Moving between companies strategically to increase compensation and title can be more effective than waiting for promotion at a single company.

Additionally, creating or joining supportive communities of women in tech can provide both the mentorship and the sense of belonging that the broader industry culture might not offer. Some of the most successful women technologists I know have built strong networks of female peers who act as both sounding boards and advocates for each other. They create their own sponsorship dynamics, essentially building alternative power networks to the informal boys’ club networks that have historically dominated tech. This requires effort and intention, but it’s a powerful strategy that’s proven effective.

The Role of Companies in Creating Real Change

But ultimately, individual action can only do so much. Systemic problems require systemic solutions, and that means companies need to fundamentally reimagine how they operate. This isn’t about surface-level diversity trainings that don’t change behaviour. It’s about addressing compensation gaps directly—conducting salary audits and correcting inequities. It’s about examining hiring practices and removing the informal referral networks that perpetuate demographic imbalance. It’s about building mentorship and sponsorship programmes that explicitly focus on creating pathways for women into leadership. It’s about examining workplace culture and asking whether the norms that have developed are actually optimal, or just the path of least resistance.

Technical companies particularly need to examine how they structure teams and decision-making. If all the architects making decisions about product direction are male, that’s a structural problem that needs addressing. If all the senior engineers in particular specialised fields are male, that’s worth investigating. If women are concentrated in lower-status, lower-paid technical roles whilst men dominate the prestigious specialisations, that’s a pattern that suggests bias in how work is assigned and valued. These aren’t questions that can be solved through good intentions. They require active examination and willingness to change established patterns.

Looking Forward: What Real Progress Would Look Like

Real progress on women in tech wouldn’t involve celebrating International Women’s Day and then returning to business as usual. It would mean that by 2030, women make up at least 40% of the UK tech workforce, with comparable representation at all career levels, not clustered in junior roles. It would mean that the gender pay gap in technology closes entirely, or at worst narrows to within 2-3%, which is still unacceptable but at least reflects market-level rather than sector-level discrimination. It would mean that female founders receive funding at rates proportional to their success rates, not dramatically lower. It would mean that women leave the tech industry at the same rates as men, suggesting they have equal opportunities to advance and equal sense of belonging.

Reaching this requires action on multiple fronts. It requires companies examining their cultures and practices honestly, without defensive reactions. It requires investors examining their own biases and actively working against them. It requires senior technical women being willing to advocate for other women, creating sponsorship chains that break through existing networks. It requires young women in tech supporting each other and building communities of belonging. And frankly, it requires society more broadly moving away from outdated ideas about what kinds of roles women can excel in, and what kinds of traits are valuable in technology leadership.

My Own Reflection on This Journey

I’ll be honest: when I was starting my career in technology, I didn’t fully understand the scope of these barriers. I noticed the gender imbalance, certainly, but I didn’t appreciate how structural and self-perpetuating it was. I’ve become increasingly aware through the women I’ve worked with, invested in, and mentored. I’ve seen brilliant technologists struggle to advance not because of lack of capability, but because of patterns of bias that nobody’s directly addressing. I’ve seen venture capital decisions swing dramatically once I understood the patterns at work. I’ve made mistakes in how I’ve run teams and made investment decisions. Those mistakes have taught me more than any diversity training could have.

That personal journey informs my conviction that this is solvable. The barriers aren’t immutable laws of nature. They’re social structures, and social structures can change when enough people decide they need to. The technology industry has shown an remarkable ability to transform itself when there’s economic incentive to do so. The challenge with gender equality is that the incentive isn’t felt equally—those benefiting from the current system don’t always feel motivated to change it. But I believe the business case is strong enough to overcome that inertia, if we’re willing to make the case clearly and act accordingly.

The Challenge for 2026 and Beyond

As we mark International Women’s Day 2026, the question isn’t whether gender equality in tech is important. It is. The question is whether we’re finally going to move beyond words into action. Will we actually change hiring practices, or just say we will? Will we actually address compensation gaps, or celebrate small movements that fall far short of equity? Will we actually examine our cultures and sponsorship patterns, or will we stick with mentorship programmes that leave fundamental power structures untouched? Will we actually fund female-founded companies at rates proportional to their success, or will we continue to tell ourselves that the venture market is meritocratic whilst channelling capital in systematically biased ways?

These aren’t rhetorical questions. The answers determine whether the next five years of International Women’s Days will sound like this one, or whether we’ll actually have progress to celebrate. The technology industry has an opportunity to lead on gender equality, not just in the UK, but globally. We have the resources, the awareness, and increasingly, the business case. What we’re waiting for is the will to actually change. That’s what I’d like to see in 2026.

Related reading: Developing Ethical Frameworks for AI Implementation, Improving Diagnostic Accuracy with AI Technologies and Legal Tech: How AI is Reshaping the Legal Industry.