A portrait of AI adopters across countries: Firm characteristics, assets' complementarities and productivity
This report analyses the use of artificial intelligence (AI) in firms across 11 countries. Based on harmonised statistical code (AI diffuse) applied to official firm-level surveys, it finds that the use of AI is prevalent in ICT and Professional Services and more widespread across large - and to som...
Gespeichert in:
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| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Paris
OECD Publishing
2023
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| Schriftenreihe: | OECD Science, Technology and Industry Working Papers
no.2023/02 |
| Schlagworte: | |
| Online-Zugang: | kostenfrei |
| Zusammenfassung: | This report analyses the use of artificial intelligence (AI) in firms across 11 countries. Based on harmonised statistical code (AI diffuse) applied to official firm-level surveys, it finds that the use of AI is prevalent in ICT and Professional Services and more widespread across large - and to some extent across young - firms. AI users tend to be more productive, especially the largest ones. Complementary assets, including ICT skills, high-speed digital infrastructure, and the use of other digital technologies, which are significantly related to the use of AI, appear to play a critical role in the productivity advantages of AI users |
| Beschreibung: | 1 Online-Ressource (85 Seiten) |
| DOI: | 10.1787/0fb79bb9-en |
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| spelling | Calvino, Flavio Verfasser aut A portrait of AI adopters across countries Firm characteristics, assets' complementarities and productivity Flavio, Calvino and Luca, Fontanelli Paris OECD Publishing 2023 1 Online-Ressource (85 Seiten) txt rdacontent c rdamedia cr rdacarrier OECD Science, Technology and Industry Working Papers no.2023/02 This report analyses the use of artificial intelligence (AI) in firms across 11 countries. Based on harmonised statistical code (AI diffuse) applied to official firm-level surveys, it finds that the use of AI is prevalent in ICT and Professional Services and more widespread across large - and to some extent across young - firms. AI users tend to be more productive, especially the largest ones. Complementary assets, including ICT skills, high-speed digital infrastructure, and the use of other digital technologies, which are significantly related to the use of AI, appear to play a critical role in the productivity advantages of AI users Science and Technology Industry and Services Fontanelli, Luca ctb https://doi.org/10.1787/0fb79bb9-en Verlag kostenfrei Volltext |
| spellingShingle | Calvino, Flavio A portrait of AI adopters across countries Firm characteristics, assets' complementarities and productivity Science and Technology Industry and Services |
| title | A portrait of AI adopters across countries Firm characteristics, assets' complementarities and productivity |
| title_auth | A portrait of AI adopters across countries Firm characteristics, assets' complementarities and productivity |
| title_exact_search | A portrait of AI adopters across countries Firm characteristics, assets' complementarities and productivity |
| title_exact_search_txtP | A portrait of AI adopters across countries Firm characteristics, assets' complementarities and productivity |
| title_full | A portrait of AI adopters across countries Firm characteristics, assets' complementarities and productivity Flavio, Calvino and Luca, Fontanelli |
| title_fullStr | A portrait of AI adopters across countries Firm characteristics, assets' complementarities and productivity Flavio, Calvino and Luca, Fontanelli |
| title_full_unstemmed | A portrait of AI adopters across countries Firm characteristics, assets' complementarities and productivity Flavio, Calvino and Luca, Fontanelli |
| title_short | A portrait of AI adopters across countries |
| title_sort | a portrait of ai adopters across countries firm characteristics assets complementarities and productivity |
| title_sub | Firm characteristics, assets' complementarities and productivity |
| topic | Science and Technology Industry and Services |
| topic_facet | Science and Technology Industry and Services |
| url | https://doi.org/10.1787/0fb79bb9-en |
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