02616nam a22003737a 4500 00006444 ES-MaONT 20220207164143.0 210405s2021 d|||fst|||i00| 0 eng d doi 10.1787/3ed32d94-en ES-MaONT Squicciarini, Mariagrazia 4922 Demand for AI skills in jobs : evidence from online job postings / Mariagrazia Squicciarini and Heike Nachtigall París : OECD Publishing, 2021 73 p. : gráf. ; 1 documento PDF texto (visual) isbdcontent electrónico isbdmedia recurso en línea rdacarrier OECD Science, Technology and Industry Working Papers ; 2021/03 Bibliografía: p. 54-56 This report presents new evidence about occupations requiring artificial intelligence (AI)-related competencies, based on online job posting data and previous work on identifying and measuring developments in AI. It finds that the total number of AI-related jobs increased over time in the four countries considered – Canada, Singapore, the United Kingdom and the United States – and that a growing number of jobs require multiple AI-related skills. Skills related to communication, problem solving, creativity and teamwork gained relative importance over time, as did complementary software-related and AI-specific competencies. As expected, many AI-related jobs are posted in categories such as “professionals” and “technicians and associated professionals”, though AI-related skills are in demand, to varying degrees, across almost all sectors of the economy. In all countries considered, the sectors “Information and Communication”, “Financial and Insurance Activities” and “Professional, Scientific and Technical Activities” are the most AI job-intensive. The use of this work, whether digital or print, is governed by the Terms and Conditions to be found at http://www.oecd.org/termsandconditions. 4348 Inteligencia Artificial AI empleo habilidades competencias empleo en línea 4923 Nachtigall, Heike Organización de Cooperación y Desarrollo Económico 2843 OECD Science, Technology and Industry Working Papers 3597 https://www.oecd-ilibrary.org/docserver/3ed32d94-en.pdf?expires=1617610944&id=id&accname=guest&checksum=FE54FB746E52B365298EB4FFE385985D 0 Acceso al documento pdf udc INF 6444 6444 0 0 0 3 1 7388 01 01 online 2021-04-05 0 1000020176637 2021-04-05 00:00:00 2021-04-05 INF pdf