Nearly every compensation team is talking about AI, but far fewer are putting it to work where it counts. To find out where the industry really stands, Pave surveyed more than 525 HR and total rewards professionals worldwide in April and May 2026, assessing each organization against 16 AI capabilities spanning data readiness, governance, implementation, and strategic impact.

The results show a market that’s still early. More than half of organizations have adopted fewer than five of the 16 capabilities, and only 8.7% have reached an Established or Advanced level of maturity. Many teams have built strong data foundations, like standardized job architecture and documented compensation philosophies, but haven’t yet turned those investments into active AI use cases.

The good news is that the path forward is clear. The organizations proving measurable business impact share a common set of capabilities, and they pair AI implementation with strong governance. This report breaks down exactly what they do differently, so you can benchmark your own program and prioritize what comes next.

Inside the report:

• Pave’s AI in Total Rewards Maturity Model: a five-stage framework to see where your organization falls, from Not Started to Advanced

• The readiness-to-action gap: why organizations are 2.4× more likely to have data foundations than to actually use AI, and how to close it

• The minimum viable path to impact: the five capabilities shared by the majority of teams demonstrating ROI

• Why benchmarking is the activation lever: teams using AI-powered benchmarking are 6.2× more likely to adopt AI for pay recommendations

• Governance and implementation together: organizations strong in both reach 50% business impact, 9× the rate of those with neither

• Breakdowns by industry, company size, and role: see how your peers compare

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