Keisuke Kondo

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About

Keisuke Kondo is a researcher whose work bridges regional economics and the future of work, with a particular focus on how technological disruption reshapes labor markets. His most influential contribution, "Regional Employment and Artificial Intelligence in Japan" (2018, 10 citations), provides a pioneering analysis of employment risk from AI and robotics. By applying the probability of computerization framework—originally developed by Frey and Osborne (2017)—to Japanese employment data, Kondo introduced a critical new dimension: regional heterogeneity. This work highlights that the impact of automation is not uniform across geographies, offering valuable insights for policymakers and economists concerned with spatial inequality in the age of AI. Earlier in his career, Kondo explored the cognitive foundations of cooperation in "The role that the internal model of the others plays in cooperative behavior" (2004, 4 citations). Drawing on the concept of "theory of mind," this research demonstrates how internal modeling of others' intentions is essential for cooperative behavior, supported by experimental evidence. Together, these studies reveal a researcher with a broad intellectual range—from the microfoundations of social interaction to the macro-level implications of technological change. Kondo’s work is a compelling resource for students and scholars interested in the intersection of technology, employment, and regional development.