How the First AI Economic Espionage Case Is Reshaping Trade Secret Law

Armita Fazel outside in a Berkeley Law t-shirt.

The Network, a blog published by our Berkeley Center for Law and Business, enables students to weigh in on new developments in finance, business, regulation, and entrepreneurship that are relevant to professionals, academics, policymakers, and the public. In a recent piece on the first conviction for AI-related economic espionage charges, rising 2L Armita Fazel explores the legal implications of a former Google engineer stealing trade secret information and trying to send it to entities in China. She explains how the case “demonstrates the growing threat posed by insiders who exploit trusted access to circumvent traditional cybersecurity defenses,” and predicts the AI industry will likely increase investments in internal monitoring, access controls, and governance structures.