Khaberni - The Jordanian Strategist Forum issued a policy paper titled "The Impact of Artificial Intelligence on the Labor Market: The Case of the World and Jordan", to shed light on the main findings of the report "Generative Artificial Intelligence and Jobs: A Global Enhanced Index for Occupational Exposure 2025" issued by the International Labour Organization.
The forum identified in the paper the impact of artificial intelligence on the Jordanian labor market, in addition to presenting some practical recommendations to mitigate its potential repercussions and enhance the labor market's ability to adapt to future technological transformations.
The paper pointed out that the importance of the report lies in interpreting the impact of generative artificial intelligence on existing professions and employment, as the report index relied on analyzing global job data and tasks (more than 30,000 job tasks), based on the International Standard Classification of Occupations (ISCO).
The index scores ranged from (0 to 1), where a score of (0) indicates tasks that will not be affected or replaced by artificial intelligence, while a score of (1) represents tasks that are most prone to be completely replaced by artificial intelligence.
In this context, the forum reviewed the methodology on which the report based its classification of professional exposure to the risk of artificial intelligence, classifying professions into six levels, four of which are most susceptible to impact and replacement (the highest exposure, high, medium, and low exposure jobs), while the other two levels of jobs fell within the categories of slight exposure and relatively unaffected.
The forum noted in the paper that the results of the International Labour Organization report showed that 23.8 percent of jobs are at risk of replacement by artificial intelligence (including 838 million employees), distributed around 7.5 percent within the highest exposure and high exposure levels (equivalent to 112 jobs), while about 16.3 percent fell within the medium and lower exposure levels.
Regarding income levels of countries, the index showed that jobs in high-income countries are most susceptible to the repercussions of artificial intelligence, with about 17.1 percent, whereas this ratio did not exceed 1.1 percent in low-income countries.
The forum explained that the risk of job exposure to artificial intelligence declines with the decrease in income of countries; as the exposure rate of jobs in high-income countries was 33.5 percent, compared to 24.7 percent in upper-middle-income countries, and 19.7 percent for lower-middle-income countries, down to about 11.4 percent only in low-income countries.
At the regional levels, the highest rate of job exposure to the risk of artificial intelligence was in Europe and Central Asia, and the Americas, by about 31.7 percent, and 28.8 percent respectively, while this rate decreases in Arab countries to 24.9 percent.
The forum indicated that females globally are more susceptible than males to the risk of their jobs being replaced by artificial intelligence, at 27.7 percent compared to 21.2 percent for males, according to the report's findings.
The Jordanian Strategist Forum recommended the necessity of forecasting the impact of artificial intelligence on the Jordanian labor market, how to protect its workers, and sustain their jobs, by investing in education, and professional retraining, through considering digital culture as the fundamental approach in education, providing specialized programs for professional and technical retraining, and enhancing cooperation between universities and industry.
The forum called for the need to focus on creating new job opportunities in sectors less prone to automation, through expansion in the fields of health, education, tourism, and creative industries, which are hard to replace, in addition to investing in renewable energy, and public projects that create jobs less susceptible to replacement, as well as supporting startups that employ artificial intelligence technologies; to improve productivity in agriculture, logistics, and public services.
