Chat GPT is one of the most widely used generative AI systems in the world, estimated to have nearly 400 million active weekly users. Credit: Sanket Mishra/Pexels
By Oritro Karim
UNITED NATIONS, May 26 2025 – While generative artificial intelligence (AI) has increased efficiency and output across numerous industries. However, labour organizations have expressed concern over AI’s ability to radically transform jobs around the world.
Generative AI has been designed to mimic human cognitive functions and has the ability to process large amounts of data at a time. Unlike job automation from previous decades, generative AI is able to facilitate decision-making processes, reshaping a variety of industries. Even jobs in creative fields, which were historically believed to be immune from automation, are now under direct threat from the emergence of generative AI tools.
On May 20, the International Labour Organization (ILO) released a comprehensive study which details the impacts that generative AI usage has on jobs worldwide. Expanding on figures from 2023’s edition, this year’s report uses “more refined” data collection tools for analyzing the impact of generative AI on employment shares, including both human studies and AI systems, covering nearly 30,000 tasks .
The report, titled Generative AI and Jobs: A Refined Global Index of Occupational Exposure, seeks to analyze rates of job transformation worldwide as a result of generative AI integration and help policymakers prepare for risks in job security and economy. Additionally, ILO urges employers and industries to consider ways to use generative AI tools to maximize productivity and job satisfaction.
“By combining human insight, expert review, and generative AI models, we’ve created a replicable method that helps countries assess risk and respond with precision,” said ILO Senior Researcher and lead author of the study Pawel Gmyrek.
“It’s easy to get lost in the AI hype. What we need is clarity and context. This tool helps countries across the world assess potential exposure and prepare their labour markets for a fairer digital future,” said Janine Berg, the Senior Economist at the ILO.
A major objective of the 2025 report was to distinguish between job augmentation and automation. It states that human labour will likely be a part of job markets for the foreseeable future. Workers are far more likely to have their responsibilities changed as generative AI adopts their duties with higher rates of efficiency.
“Currently, the main risk from generative AI is not the ‘end of work’, but rather the rapid and uncontrolled transformation of certain occupations,” Gymrek tolf IPS. “…The real challenge is to manage this transformation in a way that ensures job quality and prevents a widening of social, gender, and income inequalities.”
However, this year’s edition states that roughly one in four workers worldwide are at risk of automation due to generative AI, marking a significant increase from the 2023 edition. Additionally, higher-income countries are estimated to be at a higher risk of widespread automation.
It has also been found that workers in clerical fields are most commonly exposed to automation. Many of the responsibilities of these jobs, such as filing paperwork, scheduling appointments, answering phone calls, and managing records, can be facilitated much more efficiently by AI systems. In fields where technology already plays a key role, such as media, software and finance, AI is also effecting change.
“While most jobs still need human input, how much a job changes also depends on how digital it already is. Software development, for example, is already closely tied to AI and digital tools, so it may evolve further with GenAI. But jobs like administrative support in small offices, where digital tools are used less often, could face bigger disruptions – either because individual tasks get replaced by GenAI, or because entirely new tools are introduced that automate the whole workflow,” said Gmyrek.
Other office jobs such as media developers and software specialists have been greatly impacted, showing higher averages in terms of automation. This has been attributed to the increase of functional capability that generative AI systems have developed in the past two years. AI systems have improved in terms of media processing power and decision-making, allowing them to handle a much broader range of tasks than ever before.
Despite this, the report shows that in clerical fields, there are certain responsibilities that can only be handled by humans. The report underscores that as technological advancements develop and impact global industries, new roles are expected to emerge.
On the other hand, it is believed that specialized positions such as jobs in maintenance, installation, repair, construction, food production, and personal care, face the lowest average risks of AI exposure. According to figures from the North Carolina Department of Commerce, Labor, & Economic Analysis Division (LEAD), occupations involving physical labor have much lower average exposure scores than clerical positions. Generative AI is less effective in industry-specific roles making the full extent of its impacts on these fields unknown.
According to the ILO report, nearly all countries are at equal risk of job augmentation from the rise of generative AI, indicating that the world has the ability to harness the increased efficiency from AI in a beneficial way that doesn’t harm workers. However, higher-income countries on average show the highest average rates of exposure to AI automation, with around 5.5 percent risk. Lower-income countries are only at a 0.4 percent risk.
Automation as a result of generative AI usage generally affects women at significantly higher rates than men. This gender disparity is attributed to the fact that women tend to work in high-exposure jobs more commonly than men. ILO estimates that high-exposure jobs compose approximately 9.6 percent of female jobs, compared to 3.5 percent among men.
Despite these disparities, it is imperative that policymakers and corporations around the world remain dedicated to facilitating a smooth and fair transition, one that harnesses the new advancements in efficiency and values human labour. Furthermore, ILO emphasizes the importance of social protections for workers as human labour is indispensable for situations that require specialized practice, ethical considerations, and creativity. They warn that without these considerations, and if efforts are not made for the workforce to evolve with generative AI and integrate new tasks, then even partial automation could lead to a decline in overall job demand in the fields with high exposure to AI automation.
IPS UN Bureau Report
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