Women Face Bigger AI Job Risk Than Men — What You Can Do Right Now

A sweeping new analysis of artificial intelligence's impact on the workforce, covered by Forbes, has drawn significant attention for what it reveals about gender and job vulnerability in the AI era. Researchers at GOVAI, an organization that studies the policy implications of AI progress, have published findings suggesting that women face a disproportionately higher risk of career disruption as AI continues to transform workplaces across the country. The study was posted on the NBER website as a working paper and has not yet undergone peer review.

Beyond Job Loss: Who Can Actually Bounce Back?

What sets this research apart from earlier AI workforce studies is its focus. Rather than asking only which jobs are most likely to disappear, the GOVAI researchers asked a more nuanced question: who has the best chance of finding new work if their current role is disrupted? This broader view takes into account the skills workers already have, their financial situation, and the region where they live. Workers who can absorb the shock of a job change and quickly pivot into new roles are in a very different position from those who cannot.

The 37 Million Workers Most Exposed to AI

The researchers identified approximately 37.1 million workers in roles that are most likely to be impacted by artificial intelligence. The overall picture, however, is not entirely grim. About 70% of these workers, roughly 26.5 million people, are in a strong position to adapt or shift into other roles if AI displaces them. These workers tend to have useful transferable skills, reasonable savings, and access to diverse job markets. That is a hopeful finding for a majority of those who are facing AI exposure in their current careers.

The 6.1 Million Left in a Much Tougher Spot

The more troubling finding involves the remaining 6.1 million workers. This group faces a combination of challenges that makes adapting far more difficult. They are concentrated in clerical and administrative roles, which are among the jobs most exposed to AI automation. At the same time, these workers tend to have fewer transferable skills, lower savings, and are more likely to live in smaller towns with limited job markets. As explored in coverage of the dark side of AI's growing reach on workers and digital livelihoods, this combination creates a genuine vulnerability that goes far beyond simply losing a job title.

Why Women Make Up 86% of This Vulnerable Group

Perhaps the most striking statistic in the entire study is this: women account for 86% of the workers in the most vulnerable category. Administrative assistants, data entry clerks, and office support staff are roles that have historically been dominated by women, and these are precisely the positions most exposed to AI-driven automation. By contrast, many male-dominated professions including plumbing, construction, and electrical work depend on hands-on physical tasks that remain far more difficult to automate. This structural imbalance means the gender gap in AI job risk is not accidental. It is a direct reflection of decades of occupational sorting across the workforce.

The Savings Gap Makes Everything Harder

Financial flexibility plays a critical role in how well workers survive a job disruption. The study authors note that workers with greater savings can handle income shocks more effectively and afford to hold out for better opportunities during a job search rather than accepting the very first offer that comes along. This is where women face an additional and significant disadvantage. Women tend to carry lower savings than men, largely because of lower average earnings over time. Building a financial cushion now is one of the most practical and actionable steps any worker can take to reduce their exposure to AI-related disruption.

Transferable Skills Are Your Most Powerful Asset

The research makes a compelling case for the value of transferable skills. Workers who have capabilities that can apply across multiple industries and roles are far better positioned to pivot when AI changes their current job. The researchers partnered with the Brookings Institution, a public policy think tank, to create a publicly accessible graphic showing which occupations carry the most and least AI exposure as well as which ones have the strongest transferable skill sets. Reviewing this resource can help workers clearly identify where they stand and which direction to move toward. Concerns about this kind of economic pressure align closely with the World Bank's broader forecasts about AI's economic impact on global employment, which paint a similarly urgent picture for workers in transition.

Taking on new responsibilities at your current job, learning the basics of what your colleagues do, and continuing to invest in education are all practical ways to broaden your skill base. Even small and consistent investments in learning can significantly expand your future options in a job market that is shifting at an accelerating pace.

Which Jobs Are Holding Up Better Against AI

Not all careers are facing the same level of pressure from AI. Healthcare roles and hands-on service positions, such as skincare specialists and manicurists, are expected to be less disrupted because they rely on direct human interaction that is difficult to replicate with technology. Skilled trades like plumbing, electrical work, and construction are also holding up well due to the physical and situational complexity of the tasks involved. For workers who are open to making a career shift, these sectors offer a more stable and resilient long-term outlook.

Embracing AI Tools Is No Longer Optional

One of the sharper findings in the study is that women have been slower than men to adopt AI tools in their daily work. This matters enormously in practical terms. Learning to use AI to enhance your productivity is increasingly the dividing line between workers who adapt successfully and those who find themselves replaced. Using AI as a tool rather than treating it as a threat can transform a career risk into a genuine competitive advantage. Actively exploring AI platforms that are relevant to your field is fast becoming a baseline professional skill for workers at every level.

Where You Live Can Significantly Shape Your Options

Geography is another factor the study brings into sharp focus. Workers in major urban centers have access to a wider range of job opportunities, which makes finding a new role after displacement significantly easier. Those in smaller towns face a considerably narrower labor market with fewer paths forward. For some workers, the practical solution may involve considering a move to an area with more diverse employment options. While relocation is not always possible for every family situation, it is worth factoring into long-term career planning for those who have the flexibility to consider it seriously.

Age Adds Another Layer of Difficulty

The researchers also flag age as a meaningful complicating factor. Older workers tend to struggle more with displacement because they face greater barriers to retraining, relocating, and switching occupational tracks. The study authors specifically note that older workers experience more difficulty with these transitions partly due to reduced flexibility in all three areas. Staying nimble, continuing to learn new skills, and resisting the assumption that your current role is permanent are habits that pay real dividends regardless of how many years of experience you already have.

Steps You Can Take Starting Today

No one can predict exactly how AI will reshape the job market over the next decade. What the GOVAI research does make clear is that workers who build transferable skills, maintain financial resilience, and remain open to flexibility are the ones best positioned to navigate whatever changes arrive. For women especially, the stakes are high and the window to act is now. Taking deliberate steps today rather than waiting to react is the most powerful strategy available to anyone who is serious about securing their future in an AI-driven economy.

Source & AI Information: External links in this article are provided for informational reference to authoritative sources. This content was drafted with the assistance of Artificial Intelligence tools to ensure comprehensive coverage, and subsequently reviewed by a human editor prior to publication.