Daniel Samaan

Papers

Total Citations

418

H-Index

About

Daniel Samaan is a prominent labor economist whose research sits at the intersection of technological change, artificial intelligence, and the future of work. His most influential contribution, "Economics of Artificial Intelligence: Implications for the Future of Work" (2019), has garnered an impressive 394 citations, establishing him as a leading voice in scholarly debates about how AI-driven automation reshapes labor markets and income inequality. By situating the current AI wave within a broader historical context of technological transitions, Samaan provides nuanced analysis that moves beyond simplistic narratives of job destruction to examine the structural forces driving worker displacement and wage polarization. His subsequent empirical work deepens this agenda considerably. In a 2022 study examining patented AI, software, and robotics technologies in relation to individual wage changes across the United States, Samaan and collaborators bring granular, longitudinal evidence to questions that too often rely on theoretical conjecture. His 2021 forward-looking piece on global job scenarios through 2030 further demonstrates his commitment to translating rigorous research into actionable policy insight. Collectively, Samaan's scholarship offers researchers and policymakers an evidence-based foundation for understanding — and potentially mitigating — the disruptive human consequences of technological transformation in the modern economy.