We examine gender gaps in career dynamics in the legal sector using rich panel data from one of the largest global law firms in the world. The law firm studied is representative of multinational law firms and operates in 23 countries. The sample includes countries at different stages of...

Who will gain and who will lose as AI automates tasks? While much of the discourse focuses on job displacement, we show that job transformation - a shift in the task content of jobs - creates large and heterogeneous earnings effects. We develop a quantitative, task-based model where occupations...

Generative AI (GenAI) and Large Language Models (LLMs) are moving into domains once seen as uniquely human—reasoning, synthesis, abstraction, and rhetoric. Addressed to labor economists and informed readers, this paper clarifies what is truly new about LLMs, what is not, and why it matters....

Did recent technological change, in the form of automation, affect immigration policy in the United States? I argue that as automation shifted employment from routine to manual occupations at the bottom end of the skill distribution, it increased competition between natives and immigrants,...

This paper investigates the effects of technological and organizational change (T&O) on jobs and workers. We show that although T&O reduces firm demand for routine relative to abstract task-based jobs, affected workers do not face higher probability of non-employment or lower earnings growth...

We study how technology adoption and changes in global value chain (GVC) integration jointly affect labor shares and business function specialization in a sample of 14 manufacturing industries in 14 European countries in 1999-2011. Our main contribution is to highlight the indirect effect of...

In this paper, we show the causal influence of the launch of generative AI in the form of ChatGPT on the search behavior of young people for apprenticeship vacancies. There is a strong and long-lasting decline in the intensity of searches for vacancies, which suggests great uncertainty among the...