USPS's AI-Assisted Counterfeit-Postage Detection — Real Capability, Audited Governance Failures

The United States Postal Service operates package-scanning and label-verification infrastructure intended to help detect counterfeit postage, and has expanded its use of AI more broadly: USPS reports 35-plus approved or in-testing AI use cases, and said in mid-2026 that AI tools had helped identify and close 1,250 accounts generating counterfeit postage labels since January 2026, according to Federal News Network.

A September 2026 audit by the USPS Office of Inspector General, 'Management Alert – Issues Identified with Counterfeit Postage,' found that counterfeit postage cost the Postal Service an estimated $3.1 billion in unrecoverable revenue between March 2024 and February 2026; in fiscal year 2025 alone the loss was $1.6 billion against $32.6 billion in total shipping revenue from 6.8 billion packages. Counterfeit label volume rose more than 200%, from 9.7 million in October 2023 to a peak of 29.4 million in December 2025, and the audit found that 97% of counterfeit labels from October 2023 through February 2026 were still processed for delivery.

The same audit found that overly aggressive filters caused about 2 million legitimate, already-paid packages to be mistakenly routed for additional processing between December 2024 and February 2026, an error the Inspector General estimated cost USPS $7.2 million, and separately projected a further $520 million in losses through February 2028 if the underlying issues were not addressed. Between March 2020 and March 2025, inspectors presented 44 counterfeit-label cases to the Department of Justice, but only nine were accepted for prosecution, recovering $572,250 against $57 million in identified losses — about 1%.

The Inspector General attributed these outcomes to governance gaps: vulnerabilities that surfaced in internal meetings as early as January 2025 were not acted on until fraudsters exploited them, resulting in more than $600 million in additional losses by February 2026; internal dashboards failed to surface emerging fraud patterns; and staff at multiple mail-processing centres had detection-capable scanners but were unaware of, or did not use, that functionality.

Read the full analysis: https://www.valueaddedresource.net/usps-counterfeit-label-oig-report/