US Regulators Tighten Pay Equity Rules
Federal agencies are intensifying their focus on pay equity, with the EEOC and Department of Labor pushing for new reporting standards. An analysis from Ogletree warns that compensation audits and transparency are becoming non-negotiable for large employers. The regulatory push aligns with a broader cultural demand for transparency to close equity gaps, requiring platforms to support more granular data and dynamic compliance.
This federal push is a revival of the EEO-1 Component 2 data collection, which was introduced by the Obama administration in 2016 to gather pay data. After being halted by the Trump administration, the EEOC collected 2017 and 2018 pay data from roughly 70,000 employers, covering over 100 million workers, before pausing the program again. A subsequent study by the National Academies of Sciences confirmed the data was effective for identifying and targeting pay discrimination. The Department of Labor’s Office of Federal Contract Compliance Programs (OFCCP) has its own history with pay data collection. As far back as 2000, the OFCCP used an "EO Survey" to gather compensation data from federal contractors, though the effort was later discontinued after being deemed only "slightly better than chance" at predicting discrimination. Federal contractors are currently required to evaluate their compensation systems annually to identify and justify any disparities. This federal action follows a wave of state and local pay transparency laws that have already reshaped compliance for many companies. These laws range from prohibiting employers from asking about salary history to requiring the inclusion of salary ranges in job postings. Research from multiple sources has shown these measures are associated with a reduction in the gender pay gap. To prepare for heightened scrutiny, companies conduct pay equity audits, which are systematic reviews of compensation to identify and correct unjustified pay gaps based on gender, race, or other protected characteristics. These audits involve analyzing comprehensive employee data, including base salary, bonuses, and benefits, and grouping employees in comparable roles to assess pay differences. AI is increasingly being integrated into this process, with platforms like Syndio and Payscale offering tools to automate compensation analysis. These systems use regression analysis and other statistical models to identify disparities while controlling for legitimate factors like experience, location, and performance. AI can also provide continuous, real-time monitoring to flag potential inequities as they arise, shifting audits from a reactive to a proactive function.
