AI promises a new industrial revolution but history warns us that industrial revolutions aren't always that fun for people in the eye of the storm. This week, Nicholas Barrett and Maria Demertzis spoke with Dr. Carl Frey, author of the book "The technology trap: capital, labor, and power in the age of automation", and Robert D. Atkinson, President of Information Technology and Innovation Foundation (ITIF), about how artificial intelligence will affect the job market.
This blog is part of a series following the 2019 Bruegel annual meetings, which brought together nearly 1,000 participants for two days of policy debate and discussion.
Backstage at the Bruegel Annual Meetings, Giuseppe Porcaro talks with J. Scott Marcus on AI, robots and platform workers.
At this event, we launch the study, "Digitalisation and European welfare states", authored by Georgios Petropoulos, J. Scott Marcus, Nicolas Moës, and Enrico Bergamini.
EU policymakers must find answers to pressing questions: if technology has a negative impact on labour income, how will the welfare state be funded? How can workers’ welfare rights be adequately secured? A team of Bruegel scholars, with the support of the Mastercard Center for Inclusive Growth, has taken on these questions.
Machine learning and artificial intelligence (AI) systems are rapidly being adopted across the economy and society. Early excitement about the benefits of these systems has begun to be tempered by concerns about the risks that they introduce.
Disruptive technologies based on ICT, robots, and artificial intelligence have transformed labour markets through their important effects on employment. As the number of industrial robots continues to rise, our results imply that some measures to facilitate workforce transition and accommodate the rise of automation might be needed to maintain satisfactory labour market outcomes.
Bruegel research fellow Georgios Petropoulos features in this episode of ‘The Sound of Economics’ to discuss a study he has co-authored on the impact of robotisation on employment in Europe.
In theory, robots can directly displace workers from performing specific tasks (displacement effect). But they can also expand labour demand through the efficiencies they bring to industrial production (productivity effect). This working paper adopts the local labour market equilibrium approach developed by Acemoglu and Restrepo to assess which effects dominate and the impact of robots on wage growth and employment rate in Europe.
The author looks at how concentrated corporate R&D is in Europe, compared with sales and employment. The US and China are more likely to produce new R&D leaders that take over some of the top positions from incumbent R&D leaders. How is the EU coping with technology shifts and creating the next generation of new leading firms?