Résumé
Articial Intelligence is set to inuence every aspect of our lives, not least the way production is organized. AI, as a technology platform, can automate tasks previously performed by labor or create new tasks and activities in which humans can be productively employed. Recent technological change has been biased towards automation, with insu¢ cient focus on creating new tasks where labor can be productively employed. The consequences of this choice have been stagnating labor demand, declining labor share in national income, rising inequality and lower productivity growth. The current tendency is to develop AI in the direction of further automation, but this might mean missing out on the promise of the right kind of AI with better economic and social outcomes.
Mots-clés
automation, articial intelligence, jobs, inequality, innovation, labor demand, productivity, tasks, technology, wages;
Codes JEL
- J23: Labor Demand
- J24: Human Capital • Skills • Occupational Choice • Labor Productivity
Référence
Daron Acemoglu et Pascual Restrepo, « The Wrong Kind of AI? Articial Intelligence and the Future of Labor Demand », TNIT working paper, mars 2019.
Voir aussi
Publié dans
TNIT working paper, mars 2019