Leveraging AI for Public Labor Intermediation in Spain: Bridging the Gap between Law 3/2023 and Administrative Practice in Labora

Abstract

An analysis of the job-placement intermediation process conducted by the Valencian Employment Service (LABORA) has revealed administrative practices rooted in obsolete and reactive procedures. Automated matching is minimal and fails to prioritize vulnerable groups within standard job vacancies. This study examines the potential of Artificial Intelligence—specifically through Deep Learning tools—to transform these reactive administrative procedures into a proactive intermediation model that ensures the effective inclusion of priority groups and compliance with European Union legal safeguards. Among other measures, the paper proposes the strategic inclusion of priority profiles in all placement processes and the direct marketing of economic incentives to employers to foster genuine and efficient labor market integration.