Payscale released a preview of its AI Workforce Impact Report on September 24, and the headline finding is a mismatch: 61% of employers say they are actively rewriting job descriptions because of AI, but 49% admit their salary structures have not kept pace with those changes, and 48% say current market benchmarking data no longer reflects the skills a role actually requires. Employers are redesigning the work faster than they are repricing it.
The gap shows up on the employee side too. Fifty-six percent of employees believe they should earn more for developing AI skills, and 58% of employers say they currently pay, or plan to pay, a premium for them, so there is broad agreement in principle that AI fluency has value. The disagreement is over mechanics: 41% of employers say they cannot find talent with the AI skills they need, which suggests the premium many are willing to pay is not yet reaching the market in a form candidates or compensation systems can act on.
“AI skill demand is outpacing employers’ ability to price it. The result is inconsistent pay decisions at a moment when employees are investing in AI skills and expecting a return,” said Ruth Thomas, chief compensation strategist at Payscale.
The original insight for HR and total rewards teams is that this is a job-architecture problem before it is a compensation problem. A salary structure cannot price a skill that has not been defined inside a role’s job description, and 61% of employers rewriting those descriptions right now is the leading indicator, not the lagging one. HRTech has reported the same lag between AI adoption and organizational guidance elsewhere this month, and the pattern extends into how AI is reshaping leadership pipelines too. Total rewards teams that wait for the full report in November to start mapping AI competencies into leveling frameworks will spend the next two quarters benchmarking against data that is already, by Payscale’s own admission, out of date.
Source: GlobeNewswire
