Women in Tech and Finance Face Rising AI Job Risks
A City of London Corporation report, published in February 2026, highlights significant concerns regarding the impact of artificial intelligence (AI) on women in tech and finance. Specifically, it points to mid-career women, defined as those with at least five years of experience, as being at particular risk of job displacement due to AI-driven automation. The report identifies that roles commonly held by women, such as compliance, administrative duties, and routine analysis, are increasingly being replaced by AI systems that can perform these tasks more efficiently.
As industries continue to adopt automation technologies, these sectors, particularly tech and finance, are seeing major shifts in job structures. Women in these roles, often concentrated in lower-wage or more routine functions, face challenges in transitioning to new, more digital-centric roles. The findings underscore the need for policy change and reskilling initiatives to support workers who may find themselves displaced by this technology.
Job Roles at Risk and Automation’s Impact
The City of London report highlights that jobs in clerical, administrative, and analytical roles are particularly susceptible to automation. Compliance officers, data entry clerks, and similar positions, which have been traditionally held by women, are increasingly being automated, leaving many workers vulnerable to job loss. These jobs often involve tasks such as processing transactions, managing paperwork, or performing routine analytical tasks, duties that AI is now able to do more efficiently.
The mid-career demographic of women is at even greater risk, as these individuals often have existing career gaps due to caregiving or other personal responsibilities. Without formal qualifications in emerging technologies, they may find it difficult to transition into roles that require advanced digital skills. These challenges are compounded by rigid recruitment practices in tech and finance, which often favor younger candidates with specific tech-focused qualifications, sidelining those with transferable skills.
Challenges for Mid-Career Women in Transitioning to New Roles
The report outlines how many mid-career women face career interruptions due to family caregiving responsibilities or other life events. These interruptions make it more difficult for women to return to fast-moving industries like tech and finance. This gap in employment can limit their opportunities to access reskilling programs, which are essential for entering AI-driven roles or more technical positions.
While AI technologies are reshaping entire industries, they also highlight the gender disparities in the workforce. For mid-career women, the lack of accessible reskilling programs and the failure of hiring processes to accommodate non-linear career paths are major hurdles to overcoming automation-related job risks. The rigidity of recruitment systems that prioritize specific qualifications over practical experience often leaves women with valuable transferable skills overlooked in favor of candidates with specialized technical knowledge.
The Role of AI in Hiring and Career Mobility
Automated recruitment systems are playing an ironic role in perpetuating barriers for women entering the tech and finance sectors. AI-driven hiring platforms, which many companies use to streamline the recruitment process, often filter out qualified candidates without specific technical qualifications. This is particularly problematic for women, who may have extensive experience in related roles but do not meet the narrowly defined technical requirements that some companies emphasize in their automated hiring systems.
The biases embedded in AI algorithms can also worsen the gender gap in hiring. Studies show that AI hiring systems, if not carefully managed, can favor male candidates for tech roles or favor younger candidates who fit the traditional mold for these positions. This creates a double challenge for women: their current roles are being replaced by automation, while the paths to new digital roles are blocked by the very technology reshaping the industry. Without targeted interventions, such as bias audits or more flexible recruitment practices, women may continue to be disproportionately affected by these trends.
Industry Efforts to Support Women in Tech and Finance
In light of the findings, several initiatives have been launched to support mid-career women in tech and finance. The City of London Corporation and other organizations have called for urgent action to address these issues. Their recommendations include expanding reskilling programs and ensuring flexible hiring practices that prioritize transferable skills rather than narrowly defined technical qualifications.
In cities like London and New York, pilot programs are already in place to help mid-career women transition into AI-driven roles. These initiatives focus on cybersecurity, data analytics, and AI ethics, areas where women can leverage existing skills while gaining the technical know-how necessary for digital roles. Initial results suggest that these programs have had positive outcomes, with participants successfully entering the tech sector, bringing both valuable industry experience and fresh perspectives on technology-driven challenges.
Global Relevance: The Need for International Collaboration
While the report primarily focuses on London, its findings have global implications. Silicon Valley, Wall Street, and other major tech and financial hubs worldwide are facing similar challenges, where women remain underrepresented in high-tech positions. The accelerating adoption of AI risks exacerbating gender disparities globally, as women in these industries may face increased barriers to entering roles that offer long-term career prospects.
International collaboration will be essential to ensuring that women are not left behind in the digital transition. Policymakers, educators, and employers across borders must work together to create systems that provide inclusive access to digital careers for women, particularly those who have been affected by automation. By providing training, reskilling opportunities, and access to AI-driven roles, industries can better ensure that workforce diversity remains a priority in the future of work.
Disclaimer:
The content in this article is based on research and findings from credible sources and recent studies on the impact of AI and automation on the workforce, particularly women in tech and finance. The rapidly evolving nature of AI and employment dynamics means that conclusions and recommendations may change over time. The views expressed in the article reflect the data and insights available at the time of publication and may not fully capture future developments or adjustments in policies, industry practices, or market conditions.


