Aon, a global professional services firm providing advice and solutions in risk, retirement and health, has announced significant enhancements to its Radford McLagan Compensation Database – benchmark compensation, assess pay practices and access actionable talent analytics, to address the impact of artificial intelligence on global workforce structures and pay scales. As AI redefines job roles and skill requirements, the database now includes specific AI job families such as head of AI, applied research scientist, machine learning engineer, and AI ethics. In their announcement, they say that these additions aim to provide transparency into how the market values roles that increasingly blend technical expertise with strategy, governance, and risk management.
Built on validated, non-crowdsourced data covering 30 million employees across 115 countries, the updated platform introduces several technical features to assist human resources leaders. New API integrations allow for direct data submission from client systems, while an AI-enabled job-matching tool and compensation assistant use natural-language processing to automate benchmarking. Additionally, the database now integrates real-time labor market signals alongside traditional survey data to help organizations navigate rapid shifts in compensation for high-demand roles like AI platform engineers and cybersecurity specialists.
According to Aon executives, these updates are designed to help leaders ground their pay decisions in defensible market data during a period where traditional job frameworks are struggling to keep pace with technological change. The enhancements also support Aon’s broader workforce transformation solutions, which analyze how AI automates or augments work at scale, ensuring that organizations can maintain pay equity and regulatory accountability while competing for specialized talent.
