Alireza Javadian Sabet

Alireza studies how transformative AI reshapes labor markets and innovation systems, developing models and measures from large-scale datasets that link technological capabilities to changes in skills, mobility, and knowledge production. His work combines text and trajectory data to track skill formation in education, quantify how career opportunities expand or concentrate over time, and connect these dynamics to the movement of talent across organizations and borders.

He is motivated by the broader challenge of assessing and predicting technology outcomes, including how advances diffuse through tasks and institutions, and how choices around funding, training, and governance influence who benefits from technological change.