Occupational Exposure to Text- and Code-Generating Artificial Intelligence in Finland

Antti Kauhanen, Mika Pajarinen and Petri Rouvinen

No 127, ETLA Brief from The Research Institute of the Finnish Economy

Abstract: Abstract About 19% of Finnish employment is in occupations with at least 50% of tasks exposed to Generative Artificial Intelligence (GAI) with text- and code-generating abilities, such as ChatGPT. Most jobs need some adjustment due to recent advances in GAI, but relatively few will be heavily disrupted. Our results do not support the “end-of-work” narrative. GAI’s long-term impact on human employment is ambiguous; its effects could certainly be positive, especially if GAI turns out to be a sustained source of productivity growth. Whatever the outcome, our findings suggest that a labor market change induced by GAI is brewing and that individuals, organizations, and society all need to make a conscious decision to adapt. In our view, the biggest risk of GAI in the Finnish labor market is that we will not explore the opportunities it offers with any enthusiasm. Its impact is best faced head-on, and early adopters stand to benefit the most from it. More broadly, the biggest societal risk – in our view – is that we are less and less capable of separating human- and GAI-generated digital content (including audio, images, and video), with a heightened risk of disinformation and highly targeted cyber-attacks. This research brief replicates the analysis by Eloundou et al. (2023) in the context of Finland.

Keywords: Generative artificial intelligence; Technological change; Employment; Labor market; Occupations (search for similar items in EconPapers)
JEL-codes: E24 J21 O33 (search for similar items in EconPapers)
Pages: 16 pages
Date: 2023-10-25
New Economics Papers: this item is included in nep-ain
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