TY - UNPB
T1 - Artificial intelligence: shaping the future of work with insights from firm-level evidence
AU - Graus, Evie
AU - Özgül, Pelin
AU - Steens, Sanne
PY - 2021/11
Y1 - 2021/11
N2 - Artificial intelligence (AI) has a significant potential to deeply transform our society, economy, and labour markets. Yet, little is known about the exact consequences of AI for the future of work and the workers itself. While previous estimates of automation risks of occupations tend to diverge from 9% (Arntz, Gregory, and Zierahn, 2016) to 47% (Frey and Osborne, 2017), a quantifiable impact of AI diffusion on workers and their jobs has thus far to be determined. With increasing job polarization and a rising fear of automation risks amongst workers (Frank, Autor, Bessen, Brynjolfsson, Cebrian, Deming, Feldman, Groh, Lobo, Moro, Wang, Youn, and Rahwan, 2019), research should aim to investigate how AI influences the future of work and the workers involved.
AB - Artificial intelligence (AI) has a significant potential to deeply transform our society, economy, and labour markets. Yet, little is known about the exact consequences of AI for the future of work and the workers itself. While previous estimates of automation risks of occupations tend to diverge from 9% (Arntz, Gregory, and Zierahn, 2016) to 47% (Frey and Osborne, 2017), a quantifiable impact of AI diffusion on workers and their jobs has thus far to be determined. With increasing job polarization and a rising fear of automation risks amongst workers (Frank, Autor, Bessen, Brynjolfsson, Cebrian, Deming, Feldman, Groh, Lobo, Moro, Wang, Youn, and Rahwan, 2019), research should aim to investigate how AI influences the future of work and the workers involved.
M3 - Working paper
T3 - ROA External Reports
BT - Artificial intelligence: shaping the future of work with insights from firm-level evidence
PB - ROA
ER -