Vikram Pathania

I'm an economist who uses data, experiments, and economic reasoning to help organizations make better decisions. As Principal Economist at Amazon, I lead large-scale research using causal inference and randomized trials. My work spans seller incentives, advertising systems, and workforce outcomes, with a common focus on understanding what works, why, and for whom.

My career has taken me across academia, technology, finance, consulting, and global policy. I taught at the London School of Economics and the University of Sussex, and studied at IIT, IIM Ahmedabad, and UC Berkeley. My research, published in leading journals and cited more than 7,300 times, has informed debates on health, consumer behavior, and finance. It has also attracted coverage from the BBC, CNN, New York Times, NPR, and Wall Street Journal.

I'm now particularly interested in the economics of AI. How will AI agents reshape work, firms, and labor markets? How can organizations measure the value AI creates, and design incentives that help realize that value? These questions bring together my interests in causal inference, market design, and technology policy.

I'm open to senior leadership roles, advisory work, and collaborations at the intersection of economics, technology, and policy.