Generative AI is enhancing employment opportunities and shaping job quality, says ILO report
The report concludes that generative AI is more about enhancing than replacing jobs. Automation targets tasks, not roles, transforming job quality. Clerical work most affected.
A new study conducted by the International Labour Organization (ILO) investigates the consequences of Generative AI on the job market. The study suggests that instead of causing job losses, Generative AI is more likely to improve employment prospects.
The research highlights that most jobs and industries will only be partially affected by automation and will probably see some tasks being handled by the latest Generative AI technologies. It is projected that Generative AI will automate specific tasks rather than completely replacing entire job roles. Its primary impact will involve changing the nature of jobs, especially in terms of how intense they are and the level of autonomy they offer. Disparities in automation risk are evident between countries, with high-income nations facing more substantial risks compared to low-income countries. The study also notes that women’s employment is more at risk due to their higher representation in automatable clerical positions.
The report emphasizes the importance of effectively managing the integration of Generative AI, stressing the need for policies that facilitate a seamless and equitable transition. Encouraging worker involvement, providing skill development, and establishing social safeguards are critical components for successfully navigating this technological advancement, ensuring that its benefits are accessible to a wide range of individuals.
Why does this matter?
The impact of Generative AI on jobs has been a topic of concern and speculation. The ILO report offers insights that challenge common fears of widespread job loss due to automation. In contrast to the main discussion and argument that AI will cause heavy job losses, it highlights the potential for technology to enhance job roles by automating specific tasks rather than entirely replacing them. The findings suggest a more nuanced view of AI’s role in the job market, emphasizing the importance of managing its integration for a smoother transition and better job quality.
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