Every company is scrambling to adopt AI, yet most can’t quantify the ROI, and recent studies suggest the majority of these initiatives fail. After years of bold predictions and hype cycles, it’s time to replace guesswork with data.
This session cuts through the noise to reveal the truth behind AI’s impact on developer productivity, backed by a landmark Stanford study of more than 100,000 engineers.
Yegor Denisov-Blanch is a researcher with the Stanford Software Engineering Productivity Research Group, where he studies how AI is changing software development. His research analyzes data from hundreds of organizations, including many of the world's largest companies, to quantify the real-world impact of AI on engineering teams.
Yegor’s work has been featured at the United Nations and in the Washington Post, shared by Elon Musk, and used to inform World Bank guidance on the labor impacts of AI.