EU in the global Artificial Intelligence landscape

Riccardo Righi (riccardo.righi@ec.europa.eu), Montserrat Lopez Cobo (montserrat.lopez-cobo@ec.europa.eu), Sofia Samoili, Melisande Cardona, Miguel Vazquez-Prada Baillet (miguel.vazquez-prada-baillet@ec.europa.eu) and Giuditta de Prato (giuditta.de-prato@ec.europa.eu)
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Riccardo Righi: European Commission - JRC, https://joint-research-centre.ec.europa.eu/index_en
Montserrat Lopez Cobo: European Commission - JRC, https://joint-research-centre.ec.europa.eu/index_en
Miguel Vazquez-Prada Baillet: European Commission - JRC, https://joint-research-centre.ec.europa.eu/index_en
Giuditta de Prato: European Commission - JRC, https://joint-research-centre.ec.europa.eu/index_en
Authors registered in the RePEc Author Service: Montserrat López-Cobo

No JRC125613, JRC Research Reports from Joint Research Centre

Abstract: The brief presents the results of the AI worldwide ecosystem analysis for the period 2009-2020, by applying the Techno-Economic ecoSystem (TES) analytical approach. The TES approach allows to map the AI worldwide ecosystem by considering the main AI-related industrial, innovation and research activities, and all the economic players that are involved in them (i.e. firms, research institutes, governmental institutions). The brief analyses the position of the EU in the international context, via-à-vis the United States, China, and other main players in the landscape, in terms of size of the AI ecosystem, specialisation in AI areas, AI firms and AI R&D capacities. It follows with an in-depth analysis of the EU ecosystem, with a section devoted to the impact of EC-funded projects on the EU AI ecosystem.

Keywords: artificial intelligence; ecosystem; ai firms; ai R&D (search for similar items in EconPapers)
Date: 2021-11
New Economics Papers: this item is included in nep-big, nep-cmp, nep-cse, nep-env, nep-ppm and nep-sbm
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Persistent link: https://EconPapers.repec.org/RePEc:ipt:iptwpa:jrc125613

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