One-Pager: How AI Is Quietly Reshaping Employee Pay
Companies are using AI to set more precise, differentiated salaries.
New AI-powered services analyze public job listings, Glassdoor-style data, and purchased payroll information to benchmark market rates for specific roles. This is becoming easier thanks to expanding pay-transparency laws. Firms such as Stello AI tell clients exactly what to pay each employee, flagging high performers who are underpaid (priority for raises) and workers who are overpaid relative to today’s softer labor market.
Raises will be more uneven.
Average planned merit increases for 2027 sit around 3.2–3.5%. Instead of spreading budgets evenly (“peanut-buttering”), employers are concentrating dollars on flight risks, AI-savvy talent, and people with hard-to-replace leadership or interpersonal skills. Overpaid employees are rarely fired—the cost of replacement often exceeds the savings—but they should expect modest or zero raises and focus on proving ongoing value or pursuing promotion.
AI is also forcing a rethink of what “performance” means.
Traditional metrics such as billable hours or lead volume become less reliable when AI compresses the time needed to do the work. Leading consultants (Korn Ferry and others) advise shifting compensation toward outcomes and impact rather than activity. The result is a paradox: AI makes the external market rate for a job more objective while making an individual’s internal value more subjective.
Bottom line for employees
- Underpaid high performers stand to benefit.
- Already highly paid employees should prepare for tighter raises and emphasize impact.
- Demonstrating judgment, leadership, and AI fluency remains the clearest path to larger increases.