Humans in the Loop: The Evolution of Work in Early Experiments with Generative AI

About this report

A field-based account of early generative AI experiments across several industries, focused on what changes in people’s work. Company experiences are organized around recurring problems: routine-task bottlenecks, access to dispersed expertise and learning unfamiliar domains. The report then follows experimentation into measurement and scaling, questioning simple assumptions about who benefits and how quickly. Use it to design an organizational learning process, choose meaningful success measures and consider job quality, with the case-based evidence treated as grounded experience rather than a universal prediction.

The PDF is in English. This introduction and content guide are available in your selected language.