The Automation Paradox
Who Really Gets Hurt When AI Takes Over?
This site presents the findings of the MIS502 Final Project analyzing AI’s impact on the US job market using real-world data from Frey & Osborne (2013) and the Bureau of Labor Statistics (2024–2034).
Datasets used:
- Frey & Osborne Automation Probability Scores — 702 US occupations
- BLS Occupational Employment Projections 2024–2034 — US Department of Labor
Key finding: Automation risk and job loss are related but not the same thing. The workers who face the biggest risk are the ones least equipped to adapt — and that gap is widening.