Aon updates compensation database for AI roles

Aon has updated its Radford McLagan Compensation Database to reflect the growing impact of AI on workforce roles and pay.

The database now includes AI-specific job families—such as machine learning engineers, applied research scientists, and AI ethics roles—offering employers clearer benchmarks as demand for these positions accelerates. It draws on data from over 30 million employees across 115 countries.

The update also introduces tools to help HR teams keep pace with changing job structures. These include AI-powered job matching, real-time labor market insights, and integrations with HR systems to improve data accuracy and reduce manual work.

The changes come as companies rethink how roles are defined and compensated, with AI-related skills commanding higher pay and broader responsibilities across strategy, risk, and operations.

“AI is requiring organizations to make faster decisions in an environment where roles, skills and expectations are changing in real time. As organizations redesign jobs to keep pace with AI, traditional frameworks are struggling to keep up. By expanding the Radford McLagan Compensation Database with new AI job families and enhanced analytics, we’re helping leaders ground pay decisions in current, defensible market data — even as the market continues to evolve.” – Byron Beebe, CEO of Human Capital for Aon.