AI is getting significant attention in compensation, but most organizations are still in the early stages of adoption. This panel will look beyond the market noise to examine what compensation teams are actually doing with AI today, where they are seeing practical value, and what is slowing broader use.

Drawing on findings from a Canada-focused pulse survey of compensation professionals, along with perspectives from practitioners working through AI implementation inside their organizations, the discussion will separate common lower-risk applications, such as drafting and workflow support, from more complex uses such as benchmarking automation, predictive analytics, and decision support.

Panelists will discuss why many organizations remain in an experimental phase, what data and governance foundations are needed before higher-value applications can scale, and how issues such as explainability, oversight, and trust are shaping adoption. The session will also consider how AI may change the role of compensation professionals by placing greater emphasis on judgment, governance, and strategic advisory work.

Attendees will leave with a more realistic view of AI maturity in compensation, practical examples of current use cases, and a framework for assessing where their own organizations may be ready to move next.