AI Cargo Thefts Hit $150M as Criminals Use Fake Carriers

Between June 2025 and June 2026, cargo thieves targeted artificial intelligence equipment with unprecedented sophistication, stealing more than $150 million according to Overhaul's AI Infrastructure Intel Report. The analysis of 111 theft incidents revealed a 34% increase in AI equipment crimes since 2024, with fraud or deception involved in 92% of cases. Criminals increasingly exploit weakened authentication by impersonating legitimate carriers and manipulating bills of lading to intercept high-value shipments.

The financial stakes are extraordinarily high: a single flagship AI server rack costs approximately $3 million, making a full truckload worth tens of millions of dollars. This value proposition has transformed cargo theft into a highly organized crime vector targeting the booming artificial intelligence infrastructure buildout. The recent $11.4 million theft of NVIDIA hardware from a California-to-Texas shipment exemplifies the scale and audacity of these operations.

Supply chain professionals face a critical realization: traditional visibility and tracking solutions are insufficient protection. When 92% of thefts involve fraud and deception, knowing where a shipment is located matters far less than verifying who is physically collecting and transporting it. The indirect costs compound the problem: Overhaul estimates that for every dollar of stolen hardware, roughly $3 in additional losses go unclaimed through deployment delays, contract penalties, compliance violations, and emergency security measures.