WSJ: Companies Increasingly Use AI Benchmarking to Aggregate Job Listings and Payroll Data to Flag Under- and Over-Paid Staff

The Wall Street Journal reports that companies are increasingly using AI benchmarking services to aggregate public job listings and payroll data to identify under- and over-paid employees, then feeding the results into pay-band decisions. The trend replaces annual survey-based compensation reviews with real-time model outputs, and it lands as AI-skilled roles bifurcate into a $170K-$245K enterprise tier and a $600K-$1M+ frontier-lab tier.