International Women’s Day, AI, and the changing centre of professional authority in finance

International Women’s Day invites a flood of commentary every year, yet the more useful conversation for accountancy, bookkeeping and payroll sits beneath the slogans. It concerns work, authority, and who gets to shape the systems that increasingly shape everyone else. In a profession built on judgement, evidence, trust and interpretation, that question has become sharper with the rise of artificial intelligence.

For firms, advisers and practitioners, this is a structural issue. The IMF’s 2024 work on GenAI and labour markets estimated that about 60% of jobs in advanced economies are exposed to AI in some form, largely because these economies contain a higher share of cognitive and knowledge-intensive work. Their point was that a large share of professional work will be reorganised, with some tasks complemented, some accelerated and some absorbed into automated

Finance work sits close to the fault line. Bookkeeping, payroll, tax support, reporting, reconciliations, compliance checks, document review and data preparation all contain repeatable cognitive tasks. These are precisely the areas where AI tools are moving fastest. At the same time, the profession does not consist only of tasks. It consists of accountability. Someone still has to stand behind the answer, interpret the legislation, recognise the exception, explain the risk and carry the ethical responsibility for the decision.

The gender dimension here deserves much more serious attention than it usually receives. UK ONS data show that women make up 69.5% of bookkeepers, payroll managers and wages clerks, 44.6% of chartered and certified accountants, and 45.3% of taxation experts. In other words, women are strongly represented across the very occupational groups now being reconfigured by automation, data systems and AI-enabled workflows.

Global labour research points in the same direction. The ILO’s 2025 refined global index found that the impacts of generative AI are not gender-neutral, and that female-dominated occupations are almost twice as likely to be exposed as male-dominated ones. That tells us that the terrain of professional work is being redrawn in places where women already carry a substantial share of the labour.

This is where the conversation becomes more interesting than the usual “AI will change everything” noise. The real question is what kind of professional value becomes more important as systems grow more capable. In finance and payroll, the answer looks increasingly clear. Mechanical processing matters. Technical accuracy matters. Yet scarcity is moving upward, towards judgement under uncertainty, contextual interpretation, client translation, ethical oversight and the ability to distinguish a plausible output from a reliable one. That shift favours practitioners who understand both the machinery and its limits.

There is a second structural issue here. Women are well represented in many of the professions being transformed, while remaining underrepresented in the sectors building much of the technology. The BCS Gender Diversity in the Tech Sector Report 2025 says women still make up barely a fifth of the UK tech workforce. Recent UK government action, including the launch of the Women in Tech Taskforce in December 2025, reflects an official view that the sector is still not working equally for everyone. That imbalance matters because product design always carries assumptions about workflows, risk, expertise and what counts as “efficient”.

For accountancy and payroll, this creates a serious professional obligation. If the people building tools are not deeply embedded in the lived realities of bureau work, month-end pressure, PAYE complexity, client communication, exception handling and regulatory nuance, then the systems they produce may still be impressive while embodying a thinner understanding of real practice. That is one reason practitioner engagement matters so much. The future of the profession will be shaped partly in software labs and partly in the everyday decisions of people who know how the work actually unfolds.

This also sheds light on why caution around AI often sounds different when expressed by experienced women in professional settings. It is frequently framed as reluctance. Quite often it is better understood as disciplined scrutiny. Finance professionals are trained to ask what evidence supports the output, where the exceptions sit, which assumptions are hidden in the model, and who carries liability when a polished answer turns out to be wrong. Those questions are the heart of professional practice.

The challenge, then, is participation with standards. If large parts of the profession begin to rely on AI-generated workflows, then the quality of professional life will increasingly depend on who helped shape those workflows, whose judgement informed the guardrails, and whose experience was treated as valuable at the design stage. Seen that way, AI literacy is a form of professional representation.

This is also where community becomes strategically important. Professional networks of women in finance, payroll and technology are often described in warm, social language, and they certainly offer encouragement. They also do something much weightier. They distribute confidence, accelerate learning, and widen access to the informal knowledge that shapes who experiments, who speaks, who leads and who gets seen as future-facing. In periods of technological transition, those networks function almost like civic infrastructure for professional resilience. The point is not simply solidarity. It is capacity.

There is another reason this matters. Leadership in finance still reflects an uneven settlement. The Women in Finance Charter annual review reported that women hold 36% of senior roles among signatories, up from 35% in the prior year. Progress exists, though it remains gradual. In parallel, ONS data on the UK gender pay gap continue to show a persistent gap in earnings. The profession therefore enters the AI era with older inequalities still present inside its structures. That means any major technological transition will interact with existing patterns of authority rather than landing on a blank page.

For us at TCW, that is the more intelligent way to think about International Women’s Day in 2026. The issue is wider than celebration. It is about readiness, authorship and professional voice. Women already constitute a substantial share of the labour that keeps financial systems running. They should also be central to deciding how those systems evolve. That calls for technical confidence, space to experiment, sharper digital judgement and a stronger collective role in shaping practice.

AI will influence finance work. That much is already clear. The more significant question is who remains authoritative as the tools improve. In accountancy and payroll, the answer should include the professionals who bring context, ethics, communication and applied judgement to the table every day. Those capabilities are the centre of the profession’s future value.