Generative AI likely to increase rather than destroy jobs – ILO
Generative artificial intelligence (AI) is more likely to increase than destroy jobs by automating certain tasks rather than taking over a role entirely, according to a new study from the International Labor Organization (ILO).
The study, titled “Generative AI and Jobs: A Comprehensive Analysis of Potential Effects on Job Quantity and Quality,” suggests that most jobs and industries are only partially exposed to automation and are more likely to be supplemented rather than replaced by the latest wave of generative AI, such as chatGPT.
The study found that the biggest impact of this technology will likely not be job destruction, but rather potential changes in job quality, including work intensity and autonomy.
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Office work was found to be the category with the most exposure to technology, with almost a quarter of tasks considered high exposure and more than half of tasks having medium exposure. In other occupational groups – including managers, professionals and technicians – only a small portion of tasks were found to have high exposure, while around a quarter had medium exposure levels.
The global study documents notable differences in the effects on countries at different levels of development, linked to current economic structures and existing technological gaps.
It appears that 5.5% of total employment in high-income countries is potentially exposed to the automation effects of technology, while in low-income countries the risk of automation only concerns 'about 0.4% of employment. On the other hand, the potential for increases is almost equal across countries, suggesting that with the right policies in place, the new wave of technological transformation could provide significant benefits to developing countries. .
The potential effects of generative AI are likely to differ significantly for men and women, the study found, with more than twice the proportion of women's jobs potentially affected by automation.
This is due to the overrepresentation of women in office work, particularly in high- and middle-income countries. Given that office jobs have traditionally been an important source of female employment as countries develop economically, one outcome of generative AI could be that some office jobs may never emerge in countries to low income.
The paper concludes that the socio-economic impacts of generative AI will largely depend on how its diffusion is managed. It argues for the need to design policies that support an orderly, equitable and consultative transition. The voice of workers, professional training and adequate social protection will be essential to managing the transition. Otherwise, there is a risk that only a few well-prepared countries and market players will benefit from the new technology.
The authors note that “the outcomes of technological transition are not predetermined. It is humans who are behind the decision to incorporate such technologies and it is humans who must guide the transition process. »
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Generative artificial intelligence (AI) is more likely to increase than destroy jobs by automating certain tasks rather than taking over a role entirely, according to a new study from the International Labor Organization (ILO).
The study, titled “Generative AI and Jobs: A Comprehensive Analysis of Potential Effects on Job Quantity and Quality,” suggests that most jobs and industries are only partially exposed to automation and are more likely to be supplemented rather than replaced by the latest wave of generative AI, such as chatGPT.
The study found that the biggest impact of this technology will likely not be job destruction, but rather potential changes in job quality, including work intensity and autonomy.
p>Similar Items
Office work was found to be the category with the most exposure to technology, with almost a quarter of tasks considered high exposure and more than half of tasks having medium exposure. In other occupational groups – including managers, professionals and technicians – only a small portion of tasks were found to have high exposure, while around a quarter had medium exposure levels.
The global study documents notable differences in the effects on countries at different levels of development, linked to current economic structures and existing technological gaps.
It appears that 5.5% of total employment in high-income countries is potentially exposed to the automation effects of technology, while in low-income countries the risk of automation only concerns 'about 0.4% of employment. On the other hand, the potential for increases is almost equal across countries, suggesting that with the right policies in place, the new wave of technological transformation could provide significant benefits to developing countries. .
The potential effects of generative AI are likely to differ significantly for men and women, the study found, with more than twice the proportion of women's jobs potentially affected by automation.
This is due to the overrepresentation of women in office work, particularly in high- and middle-income countries. Given that office jobs have traditionally been an important source of female employment as countries develop economically, one outcome of generative AI could be that some office jobs may never emerge in countries to low income.
The paper concludes that the socio-economic impacts of generative AI will largely depend on how its diffusion is managed. It argues for the need to design policies that support an orderly, equitable and consultative transition. The voice of workers, professional training and adequate social protection will be essential to managing the transition. Otherwise, there is a risk that only a few well-prepared countries and market players will benefit from the new technology.
The authors note that “the outcomes of technological transition are not predetermined. It is humans who are behind the decision to incorporate such technologies and it is humans who must guide the transition process. »
READ ALSO FROM NIGERIAN TRIBUNE
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