Apple sues OpenAI over alleged hardware secrets

Apple has filed a lawsuit alleging that senior leaders and former engineers at OpenAI orchestrated a pattern of theft, pushing departing Apple employees to bring sensitive information with them when they switched jobs. The lawsuit specifically names Tang Tan, a high-ranking hardware executive who spent 24 years at Apple before moving to OpenAI, and Chang Liu, a former Apple electrical engineer. Apple accuses these individuals of telling recruits to bring secret prototypes to job interviews, coaching them on how to bypass Apple security, and improperly accessing internal files after they had left the company. Apple is asking the court to stop OpenAI from using these stolen trade secrets, essentially asking for an order to prevent them from building products based on the information they allegedly took.

In the world of high-end hardware, a product is rarely just a clever idea. It is the result of thousands of tiny, non-obvious choices—an exact chemical recipe for finishing metal so it feels a certain way, or a specific way to fold a circuit board to save space inside a case. These are trade secrets. Unlike patents, which are public in exchange for legal protection, trade secrets remain valuable specifically because they are hidden. Companies protect them with layers of digital monitoring, strict rules about physical devices, and extensive exit processes to ensure that when a brilliant engineer moves to a new company, they only take their brain and their skills, not the company’s internal blueprints or the physical guts of unreleased prototypes. The lawsuit claims OpenAI intentionally coached employees to treat these protections as optional, treating an interview like a show-and-tell session where candidates were expected to bring stolen hardware components.

This case reveals just how high the stakes have become for the next wave of AI. We are currently shifting from AI that just lives inside a screen to AI that might sit on our desks or live in our pockets as dedicated hardware. Apple and OpenAI are both racing to be the ones to define what those future devices look like. When one company alleges that another is essentially using its corporate family tree to shortcut years of expensive trial and error, it suggests that the competition for this new category of gadgets is becoming remarkably ruthless. For the rest of us, this is a reminder that the sleek gadgets we use are built on massive, secret pipelines of manufacturing expertise. When those pipelines are disrupted or drained, the race to innovate can quickly descend into a fight over who owns the map to the future.