As artificial intelligence (AI) increasingly transforms workplaces, understanding its impact on productivity and worker outcomes is critical. This talk presents the research agenda of ai:conomics and its methodological approach to studying AI adoption in corporate environments. I will outline the challenges of conducting (quasi-)experimental studies in firms, discussing strategies to isolate causal effects and the relevance of co-creation. A key focus will be on results from two field studies examining AI deployment in a call center setting. The first study investigates AI’s impact on worker productivity, identifying performance heterogeneity and potential efficiency gains. The second explores worker-level effects, including job satisfaction, work processes, trust, and skill development.
Analyses, résultats d'enquêtes et guide méthodologique : ces nouvelles ressources marquent une étape clé du projet Erasmus+ pour transformer la formation professionnelle continue grâce aux données du marché du travail de 5 pays européens.










