Yoel Knoll, VP Marketing, Cybord

The Evolution of the Threat: AI-Generated Counterfeits

The electronics supply chain is facing a new kind of threat: not crude counterfeit chips, but sophisticated reclaimed components enhanced by AI-driven deception. As high-performance systems are rapidly replaced, large volumes of used chips enter the “harvest-and-resell” pipeline, where they are cleaned, resurfaced, and re-marked to appear new. These parts are often functional but have been thermally stressed or degraded, creating a “Schrödinger state”—they may pass initial tests but carry hidden damage that can lead to failure in real-world conditions.

Compounding the problem, counterfeiters now use AI to generate highly convincing labels, packaging, documentation, and even fake compliance reports that can pass standard inspections. Traditional methods—such as sampling, paper verification, or basic electrical tests—are increasingly ineffective against these optimized fakes. As a result, manufacturers relying on conventional validation methods are unknowingly accepting statistical risk instead of verifying component integrity with certainty, exposing products, customers, and brand reputation to hidden reliability and security risks.

This latest pressure on an already stressed supply chain joins a host of other issues we have almost grown accustomed to over the past 18 months. These include geopolitical volatility, the “AI frenzy” and resulting component shortages, hardware cybersecurity incidents, and escalating regulatory burden (see side box for more).