The Employment Outlook paper indicates that high-skilled occupations are the most exposed to AI while its potential impact on employment is yet to be seen.
The Organization for Economic Co-operation and Development (OECD) has released its latest employment report, focusing on labor demand and widespread shortages amid persistently high inflation and resulting fiscal policies around the world.
The main takeaways are covered in a chapter dedicated to exploring why there is no significant sign of slowing labor demand due to advances in artificial intelligence. Measures of exposure to AI show that available tools show the most progress in areas that require “non-routine, cognitive tasks such as arranging information, memorization, and perceptual speed”.
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The Organization for Economic Co-operation and Development says that these are key qualities for professions that require significant training or higher education. Research continues to rank “high-skilled, white-collar” jobs as having the most exposure to AI.
Business professionals, managers, CEOs, and science and engineering professionals are listed as the main professions exposed to AI capabilities. Meanwhile, food preparation assistants, agricultural, forestry and fishing workers, cleaners and assistants were ranked as the occupations least affected by AI.
The publication also takes an in-depth look at the evidence regarding the impact of artificial intelligence on labor markets, noting that progress in space has been rapid, making it difficult to distinguish its output from that produced by humans.
The report states that the net impact of AI is ambiguous because while AI replaces some jobs, it can also stimulate labor demand by increasing productivity. AI also has the potential to create new tasks, in part creating new jobs.
“Artificial intelligence will replace labor in certain jobs, but it will also create new jobs in which human labor has a competitive advantage.”
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Meanwhile, it is difficult to find negative impacts on employment due to AI developments. The Organization for Economic Co-operation and Development cites data that reflects how higher-skilled workers see employment gains over the past decade compared to low-skilled workers.
The chapter also notes that its findings on influencing specific functional levels come before the advent of large language paradigms such as ChatGPT, stating that generative AI can expand the range of tasks and functions that can be automated.
As Cointelegraph previously reported, the AI sector has seen a surge in job seekers, with Google searches for “AI jobs” four times more than searches for “crypto jobs” during the peak of the climb in 2021.
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