AI Has a Power Problem: The Economics of the Data Center Boom
The AI boom is becoming a physical-infrastructure story: electricity, grids, chips, land, and capital.
B.S. Candidate in Mathematics · B.S. Candidate in Economics
University of Pittsburgh
I study economic questions through quantitative and empirical methods, with particular interests in macroeconomics, behavioral economics, and political economy.
Research and independent writing across economics, technology, markets, and public policy.
The AI boom is becoming a physical-infrastructure story: electricity, grids, chips, land, and capital.
An empirical research project examining the relationship between work stress and subjective well-being in the United States.
Why an investment boom can pressure demand, rates, and prices before productivity gains fully arrive.
Independent analysis on economics, AI, technology, markets, business, and public policy.
Empirical economics, with paper pages and research materials as projects develop.
Using General Social Survey data, this study examines work stress, job satisfaction, and general happiness in the United States from 2002 to 2022.
General Social Survey · 2002–2022
Survey-weighted regression analysis
I am a B.S. candidate in Mathematics and a B.S. candidate in Economics at the University of Pittsburgh. My academic interests include macroeconomics, behavioral economics, political economy, and empirical economic research.
Alongside research, I write about questions at the intersection of economics, technology, business, artificial intelligence, and public policy.