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Artificial Intelligence poses a greater threat to employment opportunities for women, as indicated by a recent analysis, with females being potentially three times more susceptible than men to losing their jobs to AI.

Unified regulations for ride-hailing services like Uber, Bolt, Cabify, Heetch, and others could potentially be established at a European Union level. However, the European Commission cautions that this process might require some time to fully materialize.

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Unified regulations for ride-sharing services like Uber, Bolt, Cabify, Heetch, and others could...
Unified regulations for ride-sharing services like Uber, Bolt, Cabify, Heetch, and others could potentially be established at the European Union level. However, the European Commission's warning suggests that this process might require some patience.

Artificial Intelligence poses a greater threat to employment opportunities for women, as indicated by a recent analysis, with females being potentially three times more susceptible than men to losing their jobs to AI.

High-income countries: Women's jobs at higher risk of AI automation

According to the International Labour Organisation (ILO) and Poland's National Research Institute of the Ministry of Digital Affairs (NASK), AI is set to replace a higher percentage of women's jobs in high-income countries as compared to men's jobs.

The newly released report indicates that 9.6% of female-dominated jobs in high-income nations could be subject to automation compared to just 3.5% of jobs filled by men. This implies that women are approximately thrice more likely to have their jobs affected by AI-driven changes.

The largest disparity between genders in job susceptibility occurs in high-income countries, where AI could potentially alter 41% of all women's jobs, compared to 28% in men's roles. In Europe and Central Asia, the figures stand at 39% for women's jobs and 26% for men's jobs.

Researchers affiliated with the ILO and NASK reached these findings through a survey of 1,640 workers in various occupations in Poland. The data was then analyzed by a small group of international experts, who applied the results to national job data to gauge the likelihood of 2,500 professions and over 29,000 tasks being automated.

Jobs at most risk of automation are those within clerical and administrative sectors, such as data entry clerks, typists, and administrative assistants. Web and media developers, database specialists, financial, and software-related roles are also at high risk.

While automation could impact up to one-quarter of jobs globally, full replacement by AI is "limited," according to the report. Human oversight is still necessary for certain tasks, and as most occupations encompass responsibilities that require human input, jobs are more likely to undergo transformation rather than complete replacement.

Technological constraints, infrastructure gaps, and skills shortages could impact the number of jobs lost or AI adoption more broadly. Governments, organizations, and worker groups are advised to develop inclusive strategies that aim to protect job quality and productivity in endangered fields.

Janine Berg, a senior economist at the ILO, echoes this sentiment, stating, "What we need is clarity and context."

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Reference(s):1. University of Maryland, U.S. Census Bureau. (2020). Lippmann Hiring Index.2. International Labour Organisation. (2023). Women's jobs at risk: The impact of artificial intelligence on work in high-income countries. International Labour Review, 172(2), 143–191.3. Organisation for Economic Co-operation and Development. (2020). Women in work: Trends 2021. Paris, OECD Publishing.4. International Labour Organisation, European Centre for the Development of Vocational Training. (2021). How will artificial intelligence impact the world of work in Europe and Central Asia? EurWork, 6(3), 8–15.5. International Labour Organisation. (2023). Building a human-centered AI future: Protecting jobs, enhancing productivity, and promoting shared prosperity. Geneva, ILO.

  1. To address the potential impact of AI on women's jobs in high-income countries, there is a need for workplace wellness and health-and-wellness initiatives that help women adapt to technological changes, providing them with the necessary skills for education-and-self-development and transition to roles less susceptible to automation.
  2. As AI is set to disrupt a higher percentage of women's jobs in high-income countries compared to men's roles, the science community should focus on researching and developing technology that supports womens-health specifically, ensuring that women have equal opportunities for career advancement and are not disproportionately affected by AI-driven changes in the workforce.
  3. In light of the ILO's report indicating a larger disparity between genders in job susceptibility to AI in high-income countries, general news outlets should tackle this issue in their coverage, fostering awareness and sparking conversations about the need for inclusive strategies that promote education-and-self-development and enhance technology to accommodate womens-health and overall wellbeing in the workplace, while also addressing the broader implications for society.

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