GenAI and its Impact on the Workforce: Inventory of Stakeholders (2.6.3) v1

[EN] This report maps the GenAI workforce ecosystem by identifying key stakeholder groups and organizing them into CORE, INTERNAL, and EXTERNAL layers, based on their involvement and influence in GenAI governance, ethics, and regulation. It highlights the geographic concentration of leading GenAI fi...

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Detalles Bibliográficos
Autores: de-Miguel-Molina, María|||0000-0003-4264-8000, Catalá-Pérez, Daniel|||0000-0001-5042-0239, Bañón Gomis, Alexis Jacobo
Tipo de recurso: informe técnico
Fecha de publicación:2026
País:España
Institución:Universitat Politècnica de València (UPV)
Repositorio:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
Idioma:inglés
OAI Identifier:oai:riunet.upv.es:10251/232400
Acceso en línea:https://riunet.upv.es/handle/10251/232400
Access Level:acceso abierto
Palabra clave:Generative AI
Workforce impact
Stakeholder mapping
Vulnerable occupations groups
AI regulation
Ethical AI
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spelling GenAI and its Impact on the Workforce: Inventory of Stakeholders (2.6.3) v1de-Miguel-Molina, María|||0000-0003-4264-8000Catalá-Pérez, Daniel|||0000-0001-5042-0239Bañón Gomis, Alexis JacoboGenerative AIWorkforce impactStakeholder mappingVulnerable occupations groupsAI regulationEthical AI[EN] This report maps the GenAI workforce ecosystem by identifying key stakeholder groups and organizing them into CORE, INTERNAL, and EXTERNAL layers, based on their involvement and influence in GenAI governance, ethics, and regulation. It highlights the geographic concentration of leading GenAI firms (especially in the USA and China) and frames Europe’s potential advantage around responsible development and regulation. The report follows a three-step methodology to build its stakeholder map of GenAI’s workforce impact: (1) data collection from secondary online sources, (2) stakeholder categorization into groups (e.g., governments, companies, NGOs, academia), and (3) relationship analysis to understand how these actors interact and influence the ecosystem. Using a power–interest matrix, the report groups stakeholders into four clusters, from high-power/high-interest actors who “manage the future of GenAI” (e.g., national governments, big GenAI companies, the European Commission) to groups that collaborate with them, monitor ethical concerns, or influence labour-market dynamics (including unions, investors and international bodies).The inventory then summarizes expected labour-market effects (job reductions, productivity gains and distributional impacts), points to especially affected sectors (Finance & Insurance, Professional Services, Information Systems), and lists examples of vulnerable occupations (e.g., analysts/accountants, researchers, writing/editing roles, programmers/engineers, administrative support, HR). It concludes by positioning actors by power and interest and observing that the UK leads in Europe in counts of GenAI companies, AI-focused universities/research institutes and investors.Departamento de Organización de EmpresasFacultad de Administración y Dirección de EmpresasEscuela de DoctoradoRepositorio Institucional de la Universitat Politècnica de València Riunet20262026-02-10reporthttp://purl.org/coar/resource_type/c_93fcVoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/reportapplication/pdfhttps://riunet.upv.es/handle/10251/232400reponame:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valénciainstname:Universitat Politècnica de València (UPV)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2Reconocimiento - No comercial - Sin obra derivada (by-nc-nd) http://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessoai:riunet.upv.es:10251/2324002026-06-13T07:49:27Z
dc.title.none.fl_str_mv GenAI and its Impact on the Workforce: Inventory of Stakeholders (2.6.3) v1
title GenAI and its Impact on the Workforce: Inventory of Stakeholders (2.6.3) v1
spellingShingle GenAI and its Impact on the Workforce: Inventory of Stakeholders (2.6.3) v1
de-Miguel-Molina, María|||0000-0003-4264-8000
Generative AI
Workforce impact
Stakeholder mapping
Vulnerable occupations groups
AI regulation
Ethical AI
title_short GenAI and its Impact on the Workforce: Inventory of Stakeholders (2.6.3) v1
title_full GenAI and its Impact on the Workforce: Inventory of Stakeholders (2.6.3) v1
title_fullStr GenAI and its Impact on the Workforce: Inventory of Stakeholders (2.6.3) v1
title_full_unstemmed GenAI and its Impact on the Workforce: Inventory of Stakeholders (2.6.3) v1
title_sort GenAI and its Impact on the Workforce: Inventory of Stakeholders (2.6.3) v1
dc.creator.none.fl_str_mv de-Miguel-Molina, María|||0000-0003-4264-8000
Catalá-Pérez, Daniel|||0000-0001-5042-0239
Bañón Gomis, Alexis Jacobo
author de-Miguel-Molina, María|||0000-0003-4264-8000
author_facet de-Miguel-Molina, María|||0000-0003-4264-8000
Catalá-Pérez, Daniel|||0000-0001-5042-0239
Bañón Gomis, Alexis Jacobo
author_role author
author2 Catalá-Pérez, Daniel|||0000-0001-5042-0239
Bañón Gomis, Alexis Jacobo
author2_role author
author
dc.contributor.none.fl_str_mv Departamento de Organización de Empresas
Facultad de Administración y Dirección de Empresas
Escuela de Doctorado
Repositorio Institucional de la Universitat Politècnica de València Riunet
dc.subject.none.fl_str_mv Generative AI
Workforce impact
Stakeholder mapping
Vulnerable occupations groups
AI regulation
Ethical AI
topic Generative AI
Workforce impact
Stakeholder mapping
Vulnerable occupations groups
AI regulation
Ethical AI
description [EN] This report maps the GenAI workforce ecosystem by identifying key stakeholder groups and organizing them into CORE, INTERNAL, and EXTERNAL layers, based on their involvement and influence in GenAI governance, ethics, and regulation. It highlights the geographic concentration of leading GenAI firms (especially in the USA and China) and frames Europe’s potential advantage around responsible development and regulation. The report follows a three-step methodology to build its stakeholder map of GenAI’s workforce impact: (1) data collection from secondary online sources, (2) stakeholder categorization into groups (e.g., governments, companies, NGOs, academia), and (3) relationship analysis to understand how these actors interact and influence the ecosystem. Using a power–interest matrix, the report groups stakeholders into four clusters, from high-power/high-interest actors who “manage the future of GenAI” (e.g., national governments, big GenAI companies, the European Commission) to groups that collaborate with them, monitor ethical concerns, or influence labour-market dynamics (including unions, investors and international bodies).The inventory then summarizes expected labour-market effects (job reductions, productivity gains and distributional impacts), points to especially affected sectors (Finance & Insurance, Professional Services, Information Systems), and lists examples of vulnerable occupations (e.g., analysts/accountants, researchers, writing/editing roles, programmers/engineers, administrative support, HR). It concludes by positioning actors by power and interest and observing that the UK leads in Europe in counts of GenAI companies, AI-focused universities/research institutes and investors.
publishDate 2026
dc.date.none.fl_str_mv 2026
2026-02-10
dc.type.none.fl_str_mv report
http://purl.org/coar/resource_type/c_93fc
VoR
http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.openaire.fl_str_mv info:eu-repo/semantics/report
format report
dc.identifier.none.fl_str_mv https://riunet.upv.es/handle/10251/232400
url https://riunet.upv.es/handle/10251/232400
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Reconocimiento - No comercial - Sin obra derivada (by-nc-nd)
http://creativecommons.org/licenses/by-nc-nd/4.0/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Reconocimiento - No comercial - Sin obra derivada (by-nc-nd)
http://creativecommons.org/licenses/by-nc-nd/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname:Universitat Politècnica de València (UPV)
instname_str Universitat Politècnica de València (UPV)
reponame_str RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
collection RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,811543

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