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UN Report: AI Threatens Women’s Jobs Nearly 3x More Than Men’s

by Rena Tran
May 21, 2025
in Economy
UN Report: AI Threatens Women’s Jobs Nearly 3x More Than Men’s

Getty Images

A new United Nations report reveals a troubling truth about the future of work: women’s jobs are disproportionately vulnerable to automation. According to the data, artificial intelligence is nearly three times more likely to displace roles traditionally held by women than those held by men — a finding that raises urgent questions about equity, innovation, and the direction of digital progress.

Gender Inequity in the AI Age

The report, released by the International Labour Organization (ILO), underscores a widening AI job loss gender gap as automation spreads across global economies. Clerical and administrative roles — fields where women have historically been overrepresented — are being rapidly digitized. From scheduling software to AI-powered chatbots, tasks once handled by women in office-based jobs are now being performed by algorithms.

“In many countries, women are overrepresented in jobs most exposed to generative AI,” said ILO Director-General Gilbert Houngbo. “Unless we take action, AI could amplify existing inequalities in the labor market.”

Which Jobs Are Most at Risk?

According to the ILO’s findings, roles that involve routine cognitive work — such as data entry, bookkeeping, scheduling, and document management — are among the most susceptible to AI replacement. These are roles where female workers make up a significant majority.

Meanwhile, jobs that require physical interaction, hands-on expertise, or complex judgment — fields with higher male representation such as skilled trades, operations, and strategic leadership — are comparatively less threatened by automation.

The report estimates that 7.8% of women’s employment globally could be affected by AI, compared to just 2.9% of men’s. The disparity is particularly acute in high-income countries with more digital infrastructure and AI investment.

The Double Bind: Gender Bias and Job Automation

The UN also warned that the tech industry itself — responsible for designing AI systems — suffers from its own gender imbalance, which may be influencing how AI is developed and deployed.

Women make up just 22% of AI professionals globally. As a result, the systems being built may be encoding the same biases that exist in workplaces — leading to further marginalization of female workers.

There’s also concern over how generative AI tools, like large language models, are replacing low-wage freelance jobs, including copywriting, design, transcription, and virtual assistance — roles where many women in emerging economies earn flexible income.

What Needs to Change?

The ILO called for targeted intervention, including upskilling programs for women in vulnerable sectors and incentives to promote gender diversity in tech. “We must invest in equitable access to training, create more inclusive AI design teams, and rethink how we value traditionally feminized labor,” Houngbo said.

Some companies are beginning to respond. Global firms such as Unilever and PwC have launched AI literacy programs focused on women and marginalized workers. Still, experts say the current pace of intervention isn’t fast enough to match the rate of job displacement.

A Gendered AI Future

While many tech leaders tout the promise of AI as a productivity enhancer, the UN’s report is a stark reminder that those gains are not evenly distributed. The risk, if left unaddressed, is a future where the AI job loss gender gap reinforces old inequities under the guise of progress.

As AI becomes the backbone of modern work, ensuring that it uplifts rather than excludes must be a global priority — especially for women already facing economic and systemic disadvantages.

Tags: AI and genderfuture of workLabor automationUN reportwomen in tech
Rena Tran

Rena Tran

Staff writer and editorial researcher at Millionaire News, a business publication covering entrepreneurs, founders and executives across global markets. Rena covers founder stories, startup ecosystems and emerging business leaders across Asia, the Middle East and beyond.

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