This paper examines the effect of artificial intelligence on wage inequality across varying levels of skilled labor. Our results show that increasing model complexity implied by number of patents and parameters amplified wage gaps among low-skilled workers.

This paper analyzes topic-based sentiment scores within the Glassdoor employer ratings website and explores trading signal generation. We then introduce several algorithmic strategies and backtest results derived from the analysis.