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About

Tiago Neves Sequeira investigates the complex interplay between automation, technology, and labor markets, with a particular focus on how robots, software, and ICT shape employment, wages, and productivity. His work challenges simplistic narratives, demonstrating that robots are not always detrimental to employment and wages—a finding from his highly cited 2021 study (32 citations). He further explores the nuanced mechanisms driving inequality, modeling how automation and lobbying interact to widen wage gaps between routine and non-routine tasks (2022, 9 citations). In a recent contribution (2023, 3 citations), Sequeira employs panel quantile regression to reveal that the productivity benefits of robots, ICT, and software vary significantly across the conditional distribution of labor productivity, with elasticities increasing for higher-productivity firms. This work underscores that technology’s impact is not uniform, offering critical insights for policymakers and firms. Sequeira’s research is essential reading for anyone seeking to understand the uneven, often counterintuitive effects of technological change on work and economic performance.