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An MCP server lets an AI assistant pull live compensation data into a conversation instead of answering from memory. What that means for HR teams, what the LaborIQ MCP server returns at each tier, and what it still leaves for a person to decide.
Written by LaborIQ Client Success Team on August 31, 2026
A compensation analysis compares what you pay against the market, against your own population, and against your pay philosophy. This guide covers the six-step workflow, how to choose a data source, the four metrics that carry a pay decision, and the mistakes that invalidate the result.
Written by LaborIQ Client Success Team on August 27, 2026
Governing AI in Compensation: Managing LLM Risk in Pay Strategy, Benchmarking, and Total Rewards Why AI in compensation management is both an efficiency multiplier and a governance risk – and what HR, Total Rewards, and C-suite leaders can do about it. Why Organizations Are Turning to LLMs for Compensation Questions Errors and Pitfalls: Where LLMs […]
Written by Claudine Zachara, LaborIQ Co-Founder & CEO on August 17, 2026
July 2026 U.S. job market & compensation report: Wage growth meets pay compression The U.S. economy lost 23,000 jobs in July, well below the more than 80,000 job gains expected. Unemployment ticked down to 4.1%, and 12-month wage growth fell to 3.2%. This report is noisy – the headline numbers don’t provide a clean narrative. […]
Written by Mallory Vachon, PhD on August 7, 2026
