Across every industry, the future of work is being rewritten by technology – and by who gets to shape it. The 2025 Lovelace Report, delivered in partnership between WeAreTechWomen and Oliver Wyman, delivers a stark warning: the UK is losing billions as women leave tech roles just when their expertise is most needed. Drawing on a survey of more than 500 women in tech and detailed economic modelling, the report finds that the UK is losing between £2 billion and £3.5 billion every year in lost talent and productivity. At the same time, the industry faces a shortfall of up to 120,000 professionals to meet soaring AI and digital demand, with many CEOs acknowledging that they are not moving fast enough to meet their AI ambitions.
The timing could not be worse. This isn’t about diversity – it’s about survival. Women aren’t leaving to care for families or to change careers; they’re leaving because their talent goes unseen, their progress stalls and the system hasn’t kept pace with their ambition. Every departure chips away at innovation, experience and momentum in teams already stretched thin. The companies that face this reality and make women’s progression part of their business strategy will be the ones shaping the next wave of transformation.
The irony is that women are doing everything the system tells them to. Many are upskilling, completing training and taking on extra responsibilities while managing full workloads. Yet, as the Lovelace Report shows, these efforts rarely translate into promotion or recognition. More training has become the easy answer when the real issue is structural: organisations reward visibility, not potential. The problem isn’t a lack of skill. It’s a failure to see, value and back the women who already have it.
Why women must help shape AI-first workflows
Beyond the financial losses, the Lovelace Report warns that without women’s input, we risk hard-coding bias into the systems that will shape the future. AI-first workflows promise efficiency and innovation, they deliver significant cost savings, simplify tech stacks, and in many cases make entire legacy systems obsolete. By automating repetitive processes, they free people to focus where human judgment, creativity and empathy add the most value. But these gains come with real risks – because AI systems are only as good as the data and decisions behind them.
According to the World Economic Forum’s Global Gender Gap Report 2025, women are still less likely to work directly with AI tools or lead their integration into everyday workflows, meaning too many of these systems are designed without their perspectives . Left unchecked, these biases can flow directly into customer-facing agents and automated decision-making, shaping everything from how customers are served to who gets access to opportunities. The need for diverse perspectives has never been greater. Yet women are leaving tech roles at twice the rate of men, meaning these critical voices that could make AI more trusted and effective are being lost just as they are most needed.
Every company embedding AI is, at the same time, redesigning how people and systems work together. Keeping women in the rooms where decisions are made and workflows are designed isn’t a separate diversity exercise, it’s how we build AI that reflects reality instead of distorting it. Their involvement is vital in designing AI-powered workflows and training models, as well as in guiding transformation programmes that balance short-term efficiency with long-term impact on customers, employees, and culture. The organisations that grasp this will build smarter, more resilient systems.
Real progress depends on structural change, not surface fixes
Progress depends on deliberate action, not good intentions. Breaking down silos to improve transparency around talent and career pathways, tracking tenure and salary equity to identify those feeling stuck, and taking sponsorship beyond mentoring to true advocacy are all actionable steps. These are not incremental fixes; they are competitive advantages in a market where talent and trust will determine the winners of the AI race.
As AI reshapes how people and systems work, the shift toward skills-based organisations (SBOs) offers one of the clearest opportunities for progress. Instead of rigid job hierarchies, skills-based models make capabilities visible, enabling fairer progression, faster mobility and better use of talent. Some companies are using AI-driven talent marketplaces to match people to stretch roles, helping women move past the “sticky middle” where careers often stall. The data is compelling: according to the Oliver Wyman Forum, 84% of employees believe failing to adopt this model will harm their prospects, while over a third say they’d be more likely to stay if their organisation embraced it. For women, it directly tackles the barriers identified in the Lovelace Report by ensuring skills are recognised, valued and rewarded.
Helping women succeed doesn’t require new initiatives so much as smarter use of existing tools. Skills mapping, transparent performance metrics and data-driven sponsorship can transform how potential is recognised. Supporting women isn’t a side project – it’s a business imperative that brings the diversity of skills and experience needed to rethink problems and unlock better solutions. The stakes could not be clearer. The 2025 Lovelace Report warns that the UK risks missing out on the full potential of the AI economy if it fails to keep women in tech. Businesses that bring women to the heart of these decisions will build systems that are fairer, smarter and ultimately more profitable – and they will be the ones leading the next decade of innovation.