Self Development | Artificial Intelligence

The Impact of AI on Women’s Employment: Pros and Cons

3 November 2026 4 min read هدهد تك | Hudhud Tech

The debate about AI and work often focuses on job loss and automation, neglecting the unique experiences of women in the workforce. Women and men are concentrated in different occupations and are judged differently for the same work, leading to specific impacts of AI on women’s employment.

Determining whether the overall effect is positive or negative is complex. A straightforward analysis reveals five hopeful aspects and eight concerning implications.

On the hopeful side

1. Job growth in women’s sectors. In 2025, healthcare and social assistance accounted for nearly all net job creation in the U.S., with 405,000 jobs in healthcare and 308,000 in social assistance. This trend is expected to continue due to an aging population, protecting women’s employment, although care work remains poorly compensated.

2. AI could reduce hostility in “greedy jobs.” The pay gap is partly due to the unequal distribution of high-paying jobs that reward excessive workloads. If AI makes expertise more accessible, it could lessen the premium on being irreplaceable, as seen in the pharmacy industry, which has become more equitable.

3. Automation of tedious office tasks. AI tools are automating tasks like writing meeting minutes and organizing schedules, which are often performed by women and do not advance their careers. This allows for more time spent on visible tasks that can lead to promotions and enhances patient care in healthcare settings.

4. Lower barriers for women entrepreneurs. Women entrepreneurs have historically faced challenges in securing funding, with startups founded solely by women receiving about 2% of venture capital. AI enables women to start businesses with minimal investment, as indicated by the rise of single-founder startups from 24% in 2019 to 36% in 2025.

5. Increased value of relational skills. As AI takes over codifiable tasks, the value of skills like coordination and care may rise. Many women possess these skills from years of managing emotions and caring for others, potentially leading to better compensation.

On the worrisome side

1. High exposure of women’s jobs to AI. In wealthy countries, 9.6% of women’s jobs are highly exposed to generative AI, compared to 3.5% of men’s jobs. Women are often in clerical roles that are changing due to AI, with many translators losing work.

2. Disappearance of entry-level jobs. Junior administrative positions have traditionally provided pathways for women without higher education. The elimination of these roles due to AI truncates the career ladder.

3. Competence penalties for women using AI. A study found that women’s work using AI is judged as less competent compared to men’s, reflecting the Matilda effect, where women’s contributions are undervalued.

4. Underrepresentation in the AI industry. In 2025, women made up only 26% of AI hires and held just 13% of C-suite roles in AI companies, compared to 50% in other sectors.

5. Male bias in AI tools. AI systems are often built on data reflecting a male-dominated workforce, leading to biased advice for women in salary negotiations and career development.

6. New chores replacing old ones. While AI automates some tasks, new responsibilities often fall on the same individuals, negating time savings.

7. Increased monitoring in female-dominated sectors. In industries like call centers, where 85% of workers are women, AI monitoring has intensified, reducing workers’ control.

8. Deepfakes pose risks for women. The majority of deepfake videos target women, creating a chilling effect that may lead them to reduce their public profiles due to the risk of online abuse.

On balance

The negatives currently outweigh the positives for women’s work. Women occupy the most exposed jobs, entry-level positions are vanishing, and biases in AI tools persist. The positives depend on future conditions, such as redesigning jobs and recognizing relational skills. The future will hinge on decisions made by companies regarding job design and public funding for care.