As demand for artificial intelligence (AI) talent and roles intensifies across industries, global insurance and reinsurance broking group Aon has launched enhancements to its Radford McLagan Compensation Database.
The new platform capabilities integrate data, real‑time insights and automation to deliver a seamless experience for HR leaders.
It now reports AI-specific job families, offering better transparency into the market’s definition and valuation of these roles.
This includes titles such as head of AI, applied research scientist, machine learning engineer and AI ethics. Covering over 30 million employees across 115 countries and 150 job functions, the platform is built on rigorously validated, non-crowdsourced data.
“AI is requiring organizations to make faster decisions in an environment where roles, skills and expectations are changing in real time,” said Byron Beebe, CEO of Human Capital for Aon. “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.”
AI is rapidly changing work, demanding new skills that blend technical expertise with strategy, governance, risk, and operations. Traditional role definitions and pay structures struggle to keep pace with evolving job scopes.
Based on insights from the Radford McLagan Compensation Database, core AI roles such as machine learning engineers, applied data and research scientists and AI platform engineers are among the fastest growing roles in the market, alongside rising demand for adjacent skills such as data engineering and cybersecurity.
Pay premiums for AI skills increase the challenge for organisations to remain competitive while ensuring fair and defensible compensation.
Aon’s AI workforce solutions help businesses understand how AI will automate or augment work, guiding investment in jobs, skills, and talent strategies.
In addition to the AI-specific job families, Aon enhanced the Radford McLagan Compensation Database to support HR leaders navigating this change by delivering decision-ready compensation intelligence grounded in trusted market data.
Key Database enhancements include: flexible, validated data submission; AI‑enabled job matching and compensation assistance; and real-time labour market insights.
“Compensation leaders are being asked to move faster on AI driven roles while also standing behind their decisions under increased board and regulatory scrutiny,” said Jason Trull, global head of talent data solutions for Aon. “In that environment, defensibility matters as much as speed, and the quality of the underlying benchmarks becomes critical.”
