Companies are increasingly using AI benchmarking services to aggregate public job listings and other payroll data to identify under- and over-paid employees (Callum Borchers/Wall Street Journal)

Companies are increasingly adopting AI-powered benchmarking services that combine public job listings and payroll data to flag employees who may be under- or over-paid, creating a new lever for compensation optimization, retention, and workforce planning. For CIOs and technology leaders, this shifts pay management toward data-driven decision-making but also raises important concerns around privacy, bias, employee trust, and the governance of external data feeds. IT organizations will need to ensure these tools are securely integrated with HR systems, validated for accuracy, and aligned with legal, ethical, and compliance requirements.