Which mentor is the economist whose work informs methodology for studying AI's economic effects?

• A. Saffron Huang
• B. Nicholas Carlini
• C. Peter McCrory
• D. Maxim Massenkoff

Answer: (C)

Studying AI's economic effects relies on applying rigorous economic methods to measure how AI adoption shifts productivity, wages, prices, and employment. The mentor in this context is the economist whose work centers on developing and applying these methods to technology-driven change, guiding researchers on how to design studies, choose causal identification strategies, and interpret results about AI’s impact on firms and workers.

Peter McCrory’s work provides that methodological framework—showing how to structure empirical investigations of AI’s economic channels, what data to collect, and how to isolate causal effects from confounding factors. This helps translate AI advances into concrete economic insights, such as productivity gains, changes in labor demand, and welfare implications.

The other names are more closely associated with AI safety, machine learning research, or security topics rather than economics-focused methodology for assessing AI’s economic impact.