Learn how to measure and prove the return on investment of AI tools in software engineering through insights from a comprehensive study of over 120,000 developers across 600+ companies. Discover why traditional metrics like pull request counts and DORA measurements often fail to demonstrate true value, and understand the significant variance in AI effectiveness between organizations—from 0% improvement in some companies to over 25% gains in others. Explore the key factors that determine AI success in software development teams, examine real field data showing where AI delivers the most impact, and gain access to a practical ROI measurement framework that includes specific tracking methods, common pitfalls to avoid, and proven strategies used by top-performing teams to maximize their AI investments.