Talent
Human resources and skills base for AI development.
How the laws define this
National guidance across jurisdictions agrees that talent encompasses the skilled human capital necessary to develop and deploy artificial intelligence systems, explicitly identifying STEM graduates and researchers as essential components. Where these frameworks diverge is in their policy mechanisms for cultivating this workforce. The Plan Nacional de Inteligencia Artificial ("ArgenIA" / National Artificial Intelligence Plan) focuses on broad educational capacity and system maintenance, emphasizing continuing professional training programmes, vocational training, strengthened university curricula, and talent pipelines to support an AI ecosystem. Conversely, the Programma Strategico per l'Intelligenza Artificiale (Strategic Programme on Artificial Intelligence) 2022-2024 treats talent as a strategic asset to be expanded, specifically highlighting PhD and postdoctoral researchers as well as specialised professionals, and relying on growth mechanisms like funding, dedicated PhD positions, and international attraction measures.
Synthesised from the 2 statutory definitions below. Each one is quoted in full, with its source.
Definitions (2)
Refers to the people, skills and educational capacity needed to develop, deploy and maintain AI systems, including STEM graduates, researchers, and continuing professional training programmes. The Plan emphasises strengthening university curricula, vocational training, and talent pipelines to support an AI ecosystem.
Refers to human capital including STEM graduates, PhD and postdoctoral researchers, and specialised professionals whose skills support AI research, development and deployment. The Programme frames talent as a strategic asset to be expanded via funding, PhD positions and international attraction measures.
Related Terms
Talent (talento)
Human resources and skills base for AI development and adoption....
Human capital
Education, reskilling and lifelong learning for AI readiness....
AI talent
Individuals with applied AI and ML competencies....
upskilling
Capacity-building and training to develop AI skills....
talent pathways
Structured programmes to develop and place AI practitioners....