Bryan Hong

New York University, University of Missouri–Kansas City

Papers

Total Citations

447

H-Index

About

Bryan Hong is a management researcher whose work sits at the intersection of technology, labor economics, and organizational behavior. He is best known for his pioneering investigations into how robotic automation reshapes firms and their workforces — a question of profound importance as artificial intelligence and robotics increasingly pervade modern economies. His most influential study, "The Robot Revolution: Managerial and Employment Consequences for Firms" (2021), has garnered an impressive 382 citations and offers a nuanced counterpoint to prevailing fears of technological unemployment. Rather than finding that robots displace workers en masse, Hong and his colleagues demonstrate that firm-level investments in robotics are actually associated with *increases* in total employment, while simultaneously shifting the composition of the workforce — a finding that challenges simplistic narratives about automation and jobs. His complementary 2019 paper, "The Employment Consequences of Robots: Firm-Level Evidence," further deepens this line of inquiry with granular empirical analysis. Together, these contributions have established Hong as an important voice in the scholarly debate over how organizations and workers adapt to transformative technologies, making his work essential reading for anyone studying the future of work.