A brand new report by the Worldwide Labour Group (ILO) in collaboration with Poland’s Nationwide Analysis Institute (NASK) has revealed that reveals that 25% of jobs globally are probably uncovered to generative synthetic intelligence (GenAI), with clerical and extremely digital roles most affected.
Nonetheless, the research emphasizes that job transformation, not mass substitute, is the extra possible results of AI’s rise within the office.
The report, titled “Generative AI and Jobs: A Refined International Index of Occupational Publicity”, which was launched on Tuesday, Might 20, 2025, gives what the authors describe as probably the most detailed international evaluation up to now of how GenAI could reshape the labour market.
Different key findings
The report famous that whereas one in 4 jobs (25%) worldwide is probably uncovered to GenAI, that determine climbs to 34% in high-income nations, reflecting better digital integration in these economies.
- Clerical jobs are probably the most uncovered, as GenAI may theoretically automate lots of their duties.
- Nonetheless, different high-exposure occupations embrace cognitive roles in media, software program improvement, and finance.
- Ladies are disproportionately uncovered to GenAI-driven job transformation, in accordance with the report.
- In high-income nations, almost 1 in 10 feminine staff (9.6%) are in roles at excessive threat of automation, in comparison with simply 3.5% of males.
Regardless of excessive publicity ranges, full job automation stays restricted as many duties nonetheless require human judgment, collaboration, or oversight, significantly in jobs present process digital evolution.
Occupational publicity index
Utilizing a mix of AI-assisted scoring, professional validation, and micro-level employment knowledge, the report introduces a brand new “occupational publicity index” that maps GenAI’s potential influence throughout job capabilities and nations.
“We went past idea to construct a software grounded in real-world jobs. By combining human perception, professional assessment, and generative AI fashions, we’ve created a replicable methodology that helps nations assess threat and reply with precision,” stated ILO Senior Researcher and lead creator, Pawel Gmyrek.
In accordance with the report, nations and sectors with low digital literacy could face extra disruptive impacts, underscoring the necessity for inclusive upskilling and coverage assist.
“It’s simple to get misplaced within the AI hype. What we’d like is readability and context. This software helps nations the world over assess potential publicity and put together their labour markets for a fairer digital future,” stated Senior Economist on the ILO, Janine Berg.
A roadmap for coverage and safety
The report doesn’t equate publicity with job losses. As an alternative, it argues that the tempo and influence of GenAI adoption will likely be formed by insurance policies, digital infrastructure, and workforce abilities.
- These components will decide whether or not AI drives inclusive development or widens inequalities in labour markets.
- To that finish, the ILO and NASK are urging governments, employers, and commerce unions to interact in social dialogue and craft insurance policies that shield staff, promote retraining, and guarantee honest transitions in GenAI-exposed sectors.
What you need to know
The ILO report intently aligns with the Worldwide Financial Fund (IMF)’s 2024 declaration that just about 40% of jobs globally will likely be influenced by synthetic intelligence, with superior economies anticipated to expertise a better influence in comparison with rising markets and low-income nations.
As reported by Nairametrics, IMF Managing Director Kristalina Georgieva expressed concern, stating that, normally, AI is more likely to exacerbate total inequality.
“In most situations, AI will doubtless worsen total inequality, a troubling development that policymakers should proactively handle to stop the expertise from additional stoking social tensions,” Georgieva stated.
AI’s earnings inequality impact will largely rely on how a lot the expertise enhances excessive earners.
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