Cynthia Estlund

New York Law School

Papers

4

Total Citations

129

H-Index

4

About

Cynthia Estlund is a prominent legal scholar whose work sits at the critical intersection of employment law, labor policy, and technological change. Her research has made significant contributions to understanding how automation and artificial intelligence are reshaping the modern workforce, and what legal frameworks must evolve in response. Estlund's most influential work, "What Should We Do After Work? Automation and Employment Law" (2017, 73 citations), examines how emerging technologies challenge existing employment law structures, questioning fundamental assumptions about work's role in society. This scholarship laid the groundwork for her widely discussed book *Automation Anxiety: Why and How to Save Work* (2021), in which she confronts the contentious debate over job displacement head-on, proposing concrete strategies for distributing the gains of automation more equitably while mitigating its human costs. What distinguishes Estlund's scholarship is her willingness to bridge economic analysis and legal theory, translating complex macroeconomic trends — from offshoring to algorithmic management — into actionable policy recommendations. Her work has garnered over 130 citations across these core publications alone, reflecting its reach across legal academia, economics, and public policy circles. For students navigating an increasingly automated world, Estlund's scholarship offers an indispensable framework for rethinking the future of work and worker protection.

Research Focus

Key Achievements

4
H-Index
4
Papers
129
Total Citations
32
Avg Citations/Paper
🏆 Most Cited Paper
What Should We Do After Work? Automation and Employment Law
73 citations · 2017
📈 Most Prolific Year: 2021 (2 Papers)
🤝 Key Collaborators: 0
🏛 Institutions: New York Law School

Top Papers

  1. 1
  2. 2
    Automation Anxiety: Why and How to Save Work
    28 citations · 2021
  3. 3
  4. 4
    Automation Anxiety
    13 citations · 2021

Contact & Links

Available for collaboration
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