Yegor Denisov-Blanch

This talk explores the impact of AI tools on software engineering productivity, questioning whether current enterprise adoption is driven by genuine ROI or hype. Research spanning two years and multiple companies uses a machine learning model, trained on expert evaluations of code commits, to measure productivity gains. Initial findings suggest a median productivity increase of around 10% for AI-using teams, but with a widening gap between top and bottom performers, highlighting the need for companies to understand their position in this trend.