Apple v. OpenAI: The Line Between Poaching Talent and Stealing Secrets

What Happened

Apple filed suit against OpenAI on July 10, 2026 in the U.S. District Court for the Northern District of California, naming io Products and two individuals as co-defendants: OpenAI hardware chief Tang Tan and former Apple senior systems electrical engineer Chang Liu. The complaint alleges that OpenAI took Apple’s trade secrets “at every level, from members of its Technical Staff to its Chief Hardware Officer.” Tan, a 24-year Apple veteran who ran product design for iPhone and Apple Watch, allegedly used confidential Apple project code names in recruiting, asked candidates to bring actual Apple parts to interviews for show-and-tell sessions, and coached departing employees on evading Apple’s security processes. Liu allegedly kept his company-issued MacBook after joining OpenAI, discovered that a software bug left his access to Apple’s internal file servers alive, and downloaded confidential presentations, hardware designs, and manufacturing and testing documents while already on OpenAI’s payroll. Apple says more than 400 of its former employees now work at OpenAI. The backdrop makes it sharper: the two companies partnered in 2024 to integrate ChatGPT into the iPhone, and OpenAI bought Jony Ive’s io Products for 6.5 billion dollars in 2025 to build consumer hardware. Apple says it raised concerns in a February letter and got no response. It is asking the court to bar OpenAI from using the secrets, order materials returned, and preserve evidence. OpenAI responded that it has “no interest in other companies’ trade secrets.”

What This Means for Founders

Silicon Valley has litigated this line before. Waymo v. Uber started the same way: a star engineer, downloaded files, a hardware program built at speed. It ended with a settlement paid in equity and a criminal conviction for the engineer. The lesson from that case still holds, and this one will refresh it for the AI era: hiring your competitor’s people is legal and foundational to how the Valley works, but the moment files, parts, or coached security evasion enter the picture, a recruiting strategy becomes a legal exposure. For startups the exposure runs both ways. If you are hiring out of Apple, Google, or a frontier lab, one engineer arriving with a folder of old design docs can contaminate your entire program, and acquirers and investors increasingly run diligence for exactly that. If you are the one being raided, this case is a reminder that trade secret protection is only as strong as your operational hygiene. Apple’s complaint leans on specifics: a laptop never returned, server access that survived departure, interview rituals. Courts ask whether you took reasonable measures to keep secrets secret. A startup that cannot show access controls, offboarding logs, and confidentiality markings will struggle to claim its crown jewels were ever trade secrets at all. The suit also signals that the AI hardware race has entered a phase where incumbents will use litigation as a competitive weapon, and timelines for anyone building in that space just got less predictable.

What You Can Do Now

Put clean-room discipline into your hiring pipeline. Every offer to someone from a competitor should come with a written acknowledgment: bring no documents, code, parts, or files from your former employer, and report it if anything slips through. Train interviewers never to ask about a candidate’s confidential prior work; the interview practices themselves are core evidence in this complaint. On the defensive side, audit your offboarding this quarter. Confirm that departing employees actually lose server and repo access on their last day, that devices come back, and that the checklist leaves a paper trail. Finally, write down what your trade secrets are. Mark sensitive documents, restrict access to those who need it, and log who touches what. Those habits cost little now and become your evidence later, whichever side of a dispute you land on.