Papers
8
Total Citations
577
H-Index
7
About
Nikolas Zolas is a prominent economist whose research sits at the intersection of technology adoption, automation, and firm-level productivity. Working extensively with large-scale administrative data, particularly through the U.S. Census Bureau's Annual Business Survey (ABS), Zolas has made foundational contributions to our empirical understanding of how American firms adopt and integrate advanced technologies, including artificial intelligence, machine learning, and automation systems. His most celebrated work includes the development of a landmark ABS survey module that enabled researchers to systematically study advanced technology adoption across hundreds of thousands of U.S. firms — a methodological contribution that has generated nearly 170 citations and seeded an entire research program. Building on this foundation, his studies on AI adoption in America, accumulating over 96 citations, revealed that fewer firms than expected were early AI adopters, offering crucial insight into the uneven diffusion of transformative technologies across industries and geographies. Zolas has also shed light on the causal dynamics of technology adoption, demonstrating that adopting firms tend to be larger and faster-growing even before adoption occurs, challenging simple narratives about technology's role in driving firm growth. Across his body of work, Zolas has established himself as an indispensable voice for policymakers and scholars seeking rigorous, data-driven perspectives on the evolving relationship between technology and the workforce.
Research Focus
Key Achievements
Top Papers
- 1
- 2AI adoption in America: Who, what, and where96 citations · 2024
- 3
- 4AI Adoption in America: Who, What, and Where76 citations · 2023
- 5
- 6Advanced Technology Adoption: Selection or Causal Effects?48 citations · 2023
- 7AI Adoption in America: Who, What, and Where39 citations · 2023
- 8