If asked, most business leaders might say they haven’t yet seen much--if any--significant impact of generative artificial intelligence on employment at their firms. But that will change, a new study suggests.
The rise of large language models (LLMs) might have an impact on a much larger share of workers
than previous digital technologies, argues a new study published by the Organization for Economic Cooperation and Development.
As is often the case, It may take some time before we observe shifts in employment figures in response to the impact of generative AI, the study suggests.
An analysis of online job postings in the United States (Box 3.6) indicates no structural
changes in hiring practices since Generative tools were launched. While these results may not fully
Across the OECD, around 26 percent of workers are exposed to Generative AI, but only one percent are considered highly exposed. As with many big technological changes, impact will grow substantially with time.
Eventually, though, up to 70 percent of workers could be exposed to Generative AI in the near future, with 39 percent of these considered highly exposed.
And there are some perhaps-surprising impact estimates. Higher-paying occupations tend to be more
exposed to Generative AI, while occupations heavily reliant on science and critical-thinking skills are less
exposed on average. Most of us might not have concluded that “higher-paying” fields would be so affected.
Likewise, some of us would be surprised that jobs requiring more education orr training tend to, on average, be more exposed to Generative AI.
No comments:
Post a Comment