Artificial intelligence, which has entered human life in recent years, is actively used in many lines of business. Continuously developed artificial intelligence models pose a threat to many professional groups. Stating that machines replaced manpower in the Industrial Revolution, Sivas Cumhuriyet University Faculty of Economics and Administrative Sciences, Department of Labor Economics and Industrial Relations, Social Policy Specialist Assoc. Dr. Abulkadir Yüksel said that artificial intelligence targets white-collar workers.
“One in four jobs in the world will be affected by productive AI”
Social Policy Expert Assoc. Dr. Abulkadir Yüksel said, “In the history of the world, there have been many breaks in working life and there has been a constant change in working life, jobs, skills and qualifications. The most important of these was the Industrial Revolution. In the Industrial Revolution, the steam engine replaced muscle power, and then the computer took over the power of calculation. Artificial intelligence, for the first time, participates in mental labor, that is, reasoning, writing and analysis.
According to the International Labor Organization’s current study, one in every four jobs in the world could be affected by productive artificial intelligence. However, most of these jobs will not disappear, their insides will change. Therefore, the question ‘Which profession will end?’ The question is an incomplete question. The question is which tasks within a profession will shift to AI. Professions do not disappear, they are emptied and filled again. Teachers, doctors, lawyers will remain; “But teachers, doctors and lawyers who know how to use artificial intelligence will replace those who do not use it.”
120 million employees may lose their jobs
Assoc. Prof. said that millions of people lost their jobs. Dr. Yüksel said, “The prediction of the World Economic Forum is also striking. According to it, 170 million new jobs will be created and 92 million jobs will disappear by 2030. The net picture looks positive. But the loser and the winner are not the same person; the job created by the lost work does not belong to the same person, the same city, the same skill. A 45-50-year-old employee who loses his job in a call center or office does not automatically become a data analyst.
