AI-based technologies, including generative AI, likely have substantial transformative impacts on the way people work and on how employers organize work. But much remains unknown about how the adoption of AI applications changes (1) a firm’s demand for labour (quantity) and skills (quality), (2) the supply of labour and (3) recruiting in start-ups.

This project draws on innovative and timely data to understand these dynamics, as well as how trends can be more reliably measured. Using company-level survey data, alongside details on consultancy projects conducted for companies in relation to AI, the project focuses on providing a fine-grained view into AI use in firms to understand how new technologies change relevant jobs. Additionally, the project draws on “online data,” such as job advertisements and employee profiles on LinkedIn, to measure labour market trends and effects on a timely basis and gather evidence on the current state of AI usage of workers and its evolution over the past years. The data will allow for distinguishing different types of AI, AI-producing and AI-using tasks, and use by occupations and industries and over time. Further steps will explore the shock of the introduction of ChatGPT and the extent to which different usages of AI are skill saving or skill augmenting.

By developing and testing methods related to the use on online data for technology tracing and tracking, the project supports the innovative data goals of the TransforM. Cluster.