Automation affects workers because it affects the return to their skills when performing different tasks. I propose a general equilibrium model of occupational choice and technological change which takes two important labor market features into account: (i) automation happens to tasks and (ii)...

Based on the methodology proposed by Frey and Osborne (2017), we use their estimates for the probability of automation of occupations together with household survey data on the occupational distribution of employment to provide a risk assessment for the threat that automation may pose to the...

Policymakers fear artificial intelligence (AI) will disrupt labor markets, especially for high-skilled workers. We investigate this concern using novel, task-specific data for security analysts. Exploiting variation in AI's power across stocks, we show analysts with portfolios that are more...

We use data from a new international dataset - the European Skills and Jobs Survey - to create a unique measure of skills-displacing technological change (SDT), defined as technological change that may render workers' skills obsolete. We find that 16 percent of adult workers in the EU are...

This paper analyzes the impact of breakthrough technological areas, such as artificial intelligence (AI), big data, the internet of things, and blockchain upon on conventional banking professions and skill sets. Our conclusions are based upon a large array of data collected over the course of a...