Stuart W. Elliott

Papers

Total Citations

214

H-Index

About

Stuart W. Elliott is a leading voice in the study of how artificial intelligence and automation are reshaping the future of work and skill demand. His most-cited work, "Computers and the Future of Skill Demand" (2017, 214 citations), provides a foundational analysis of how advances in AI, machine learning, and robotics are poised to transform the skills required in the labor market. Elliott’s research critically examines the potential for widespread technological unemployment, offering a nuanced perspective on which human skills may remain valuable as machines replicate cognitive and physical tasks. His contributions bridge computer science, economics, and education policy, helping researchers and policymakers understand the evolving relationship between technology and human capital. By framing the debate around skill demand rather than simple job loss, Elliott has shaped how scholars approach the societal implications of automation. His work is essential reading for students and researchers exploring the intersection of technology, labor markets, and workforce development.