Cargo thieves use PIT maneuvers to hijack AI hardware shipments in California
Thieves have been using rear-ending tactics to bypass security escorts. The stolen goods are being sold on the black market for higher prices overseas. Losses from such thefts have surged to over $300 million in the second quarter of 2026.
Cargo thieves in California have been employing a brazen tactic known as the PIT maneuver to hijack AI hardware shipments. By ramming security escorts from behind, they have been able to seize valuable goods intended for legitimate markets. These stolen items are then sold on the black market, often fetching prices higher than their original U.S. retail value. The thefts have raised concerns among logistics and security firms, as the stolen hardware is highly sought after in international markets.
The tactics used by the thieves have been particularly effective in disrupting security escorts. According to reports, two private security vehicles were knocked out of action during one such incident. The perpetrators have been leveraging the chaos of the situation to quickly secure the stolen goods and escape the scene. This method has allowed them to bypass traditional security measures and evade detection for extended periods.
Theft losses from AI hardware shipments have reached significant levels, with cargo theft losses across the U.S. and Canada more than doubling year over year to $304.6 million in Q2 2026. Industry experts have warned that the lower frequency of such incidents should not be mistaken for a decrease in overall risk. The high value of AI hardware has made it a prime target for organized crime groups looking to profit from the black market.
The rise in AI hardware thefts has significant implications for the logistics and technology sectors. Companies are facing increased costs due to the need for enhanced security measures and insurance premiums. There is also a growing concern about vendor lock-in and the potential for supply chain disruptions. Market reactions have been mixed, with some firms investing in advanced tracking technologies while others are reevaluating their shipping strategies to mitigate risks.
As the value of AI hardware continues to rise, so does the incentive for criminals to target these shipments. The logistics industry is under pressure to develop more robust security protocols to prevent such thefts. Meanwhile, technology firms are exploring ways to reduce the vulnerability of their hardware during transit. The situation highlights the need for a coordinated response from both the private and public sectors to address this growing threat.