Jobs Exposure to Generative AI: Ongoing Study by NASK-PIB and ILO

The rapid advancement of artificial intelligence (AI), including generative AI (GenAI), raises important questions about its impact on the labour market and employment structure. This study examines the extent to which various occupations are exposed to GenAI by developing an index to identify potential shifts in the nature of work. The analysis focuses on specific occupational tasks that may be affected to varying degrees by the proliferation of AI tools. The study categorises occupations into four groups: susceptible to automation (Automation potential), subject to augmentation by GenAI (Augmentation potential), characterised by significant uncertainty (Big unknown), and not susceptible to technological change (Not affected). The research was conducted in three stages: assessing occupational exposure, verifying findings with expert analysis, and extrapolating results to 30,000 tasks across 2,500 occupations, with the support of ChatGPT-4. The findings enable estimates of the occupational groups most “at risk” from GenAI and contribute to macroeconomic forecasts for the Polish labour market.

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Publication Details

Journal
Applied Cybersecurity & Internet Governance
Published
2024-12-31
DOI
https://doi.org/10.60097/acig/201152
Primary Topic
Economic Growth and Productivity
Type
article
Field-Weighted Citation Impact
0.00
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article

Jobs Exposure to Generative AI: Ongoing Study by NASK-PIB and ILO

Marek Troszyński
Applied Cybersecurity & Internet Governance
Economic Growth and Productivity
article

Jobs Exposure to Generative AI: Ongoing Study by NASK-PIB and ILO

Marek Troszyński
article en

Abstract

The rapid advancement of artificial intelligence (AI), including generative AI (GenAI), raises important questions about its impact on the labour market and employment structure. This study examines the extent to which various occupations are exposed to GenAI by developing an index to identify potential shifts in the nature of work. The analysis focuses on specific occupational tasks that may be affected to varying degrees by the proliferation of AI tools. The study categorises occupations into four groups: susceptible to automation (Automation potential), subject to augmentation by GenAI (Augmentation potential), characterised by significant uncertainty (Big unknown), and not susceptible to technological change (Not affected). The research was conducted in three stages: assessing occupational exposure, verifying findings with expert analysis, and extrapolating results to 30,000 tasks across 2,500 occupations, with the support of ChatGPT-4. The findings enable estimates of the occupational groups most “at risk” from GenAI and contribute to macroeconomic forecasts for the Polish labour market.

Applied Cybersecurity & Internet Governance
Openalex Percentile: Top 68%
Economic Growth and Productivity
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Jobs Exposure to Generative AI: Ongoing Study by NASK-PIB and ILO — Marek Troszyński · Applied Cybersecurity & Internet Governance (2024) | TGRS Research Map | TGRS