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| |  Online-Ressource |
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| Verfasst von: | Green, Andrew [VerfasserIn]  |
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| Titel: | Artificial intelligence and the changing demand for skills in the labour market |
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| Verf.angabe: | Andrew, Green |
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| Verlagsort: | Paris |
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| Verlag: | OECD Publishing |
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| Jahr: | 2024 |
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| Umfang: | 1 Online-Ressource (55 p.) |
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| Format: | 21 x 28cm |
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| Gesamttitel/Reihe: | OECD Artificial Intelligence Papers ; no.14 |
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| Abstract: | Most workers who will be exposed to artificial intelligence (AI) will not require specialised AI skills (e.g. machine learning, natural language processing, etc.). Even so, AI will change the tasks these workers do, and the skills they require. This report provides first estimates for the effect of artificial intelligence on the demand for skills in jobs that do not require specialised AI skills. The results show that the skills most demanded in occupations highly exposed to AI are management and business skills. These include skills in general project management, finance, administration and clerical tasks. The results also show that there have been increases over time in the demand for these skills in occupations highly exposed to AI. For example, the share of vacancies in these occupations that demand at least one emotional, cognitive or digital skill has increased by 8 percentage points. However, using a panel of establishments (which induces plausibly exogenous variation in AI exposure), the report finds evidence that the demand for these skills is beginning to fall. |
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| DOI: | doi:10.1787/88684e36-en |
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| URL: | Resolving-System: https://doi.org/10.1787/88684e36-en |
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| | DOI: https://doi.org/10.1787/88684e36-en |
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| Datenträger: | Online-Ressource |
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| Sprache: | eng |
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| Sach-SW: | Education |
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| | Employment |
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| | Governance |
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| | Social Issues/Migration/Health |
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| | Science and Technology |
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| K10plus-PPN: | 189313752X |
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| Lokale URL UB: |  Zum Volltext |
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Artificial intelligence and the changing demand for skills in the labour market / Green, Andrew [VerfasserIn]; 2024 (Online-Ressource)
69229763
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