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IRS AI Arsenal Grows to 126 Tools Amid 25% Staff Cut, GAO Warns of Failure Risk

The IRS expanded its AI tools to 126, a 12x increase since 2022, while cutting staff by 25%. The GAO warns this dual trend risks failure of AI initiatives.

Alex Mercer/3 min/US

Senior Tech Correspondent

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IRS AI Arsenal Grows to 126 Tools Amid 25% Staff Cut, GAO Warns of Failure Risk
Source: NextgovOriginal source

The IRS now operates 126 artificial intelligence tools, a significant leap from 10 in 2022, even as its workforce has shrunk by 25%, leading the U.S. Government Accountability Office to warn of potential failure risks for these AI initiatives.

The Internal Revenue Service (IRS) is rapidly embedding artificial intelligence (AI) into its core operations. These advanced computer systems now play a crucial role across the agency, from selecting audits and detecting fraud to improving taxpayer services. This strategic pivot aims to enhance efficiency and enforce tax compliance at scale, fundamentally altering how the IRS operates.

The IRS currently employs 126 active AI applications, a sharp increase from just 10 tools in August 2022. These applications include machine learning models that analyze millions of tax returns, scoring each for noncompliance risk. They also assist in prioritizing high-value enforcement targets, such as large corporations and high-wealth individuals. This technological expansion, however, unfolds against a backdrop of significant staff reductions. The IRS workforce declined from approximately 103,000 to 77,000 employees between January and May 2025. This represents a reduction of roughly 25% of its personnel.

This dual trend of rapid AI adoption and substantial workforce contraction creates operational risks. The U.S. Government Accountability Office (GAO) recently highlighted this concern, warning that the combination of staff cuts, expanding AI initiatives, and the lack of a comprehensive workforce plan jeopardizes the success of IRS AI efforts. Several critical units, including the agency's IT division and its Research, Applied Analytics and Statistics group, have experienced personnel losses among employees working on AI. The IRS has not yet defined the specific skills needed to support its growing AI infrastructure, nor has it developed a plan to address these identified skill gaps. This situation challenges the agency's ability to develop, maintain, and effectively utilize advanced systems with a smaller pool of human experts. The IRS faces a critical task: balancing technological advancement with its human capital requirements to ensure effective tax administration. Future developments will reveal how the agency navigates this complex intersection of technology and staffing.

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