Federal hiring has long had a reputation for being slow, complicated, and difficult to navigate. Now, the Office of Personnel Management believes artificial intelligence may be able to help fix at least part of the problem.
In a recent post published through its “Secrets of OPM” series, the agency outlined how it’s using AI to streamline one of the more time-consuming parts of the hiring process: building position descriptions and classifying federal jobs.
According to OPM, the federal government hires roughly 150,000 employees each year across hundreds of agencies and occupations. But behind every vacancy announcement is a web of classification standards, pay systems, qualification requirements, and position descriptions that can take significant time to develop and review.
OPM says there are currently more than 600 classification standards and over 150 compensation systems used throughout the federal workforce. That complexity is one reason hiring timelines can stretch for months.
The agency’s new AI-assisted tool, called USA Class, is designed to help HR specialists and hiring managers generate compliant position descriptions more quickly by using AI to organize and draft portions of the process.
The goal is not to replace HR professionals, according to OPM, but to reduce administrative workload and speed up federal hiring actions that often become bottlenecks.
The announcement reflects a broader trend across government as agencies look for ways to incorporate AI into administrative and operational functions. While much of the public conversation around AI focuses on automation and job displacement, OPM is framing the technology as a support tool aimed at improving efficiency within an already strained hiring system.
Federal hiring has faced growing scrutiny in recent years, particularly as agencies compete with the private sector for talent while also dealing with retirements, staffing shortages, and lengthy onboarding timelines. Many applicants report waiting months between applying for a position and receiving a hiring decision.
Supporters of modernization efforts argue that reducing administrative friction could help agencies fill critical vacancies faster and improve the applicant experience along the way.
Still, some federal employees may approach the idea cautiously. Position descriptions affect everything from pay grades to qualifications and promotion potential, and introducing AI into that process is likely to raise questions about consistency, oversight, and accuracy.
OPM says human review remains part of the process and that the tool is intended to assist rather than automate final decisions.
Whether AI meaningfully improves hiring timelines remains to be seen. But the rollout of USA Class signals that OPM sees technology as playing a growing role in how the federal workforce is managed and how agencies attempt to modernize systems that many employees and applicants view as outdated.
As agencies continue facing pressure to recruit and retain talent, efforts to simplify hiring are likely to remain a major focus across government.
