Apple filed a lawsuit on July 10, 2026 in the U.S. District Court for the Northern District of California accusing OpenAI, its hardware unit io Products, and named individuals of stealing trade secrets to accelerate development of OpenAI's first consumer hardware device. The 41-page complaint centers on Tang Tan, OpenAI's Chief Hardware Officer, who spent 24 years at Apple — most recently as VP of product design for the iPhone and Apple Watch — before departing in 2024 to join io Products, the design studio OpenAI later acquired for roughly $6.4 billion in an all-stock deal in May 2025 (CNBC).
Apple alleges Tan used Apple's confidential internal project code names during OpenAI recruiting interviews, asked candidates about an unreleased Apple product, directed candidates to bring physical Apple hardware components to interviews, and coached departing Apple staff on how to evade the company's departure security controls. Two other individuals — systems electrical engineer Chang Liu, who left Apple for OpenAI in January 2026 after eight years on the iPhone team, and Yu-Ting "Alyssa" Peng, who joined OpenAI in April 2026 — are separately accused of taking unreleased product designs and component data with them (MediaNama; TechCrunch). Apple's public statement puts it starkly: "At every level, from members of its Technical Staff to its Chief Hardware Officer, and in coordination with business partners, OpenAI has been stealing Apple's trade secrets" (Fortune). OpenAI's response has been terse: "We have no interest in other companies' trade secrets. We remain focused on building innovative technology that empowers people everywhere."
The steelman: Apple's concern is not paranoia
Before treating this as reflexive corporate gatekeeping, it's worth taking Apple's position seriously. Federal trade secret law exists precisely because targeted recruiting of a rival's engineers, paired with direct solicitation of confidential specifications, is a recognized and prosecutable form of theft — not garden-variety competition for talent. The Defend Trade Secrets Act of 2016 (Public Law 114-153) created a federal civil cause of action for exactly this scenario, allowing an owner to sue in federal court when misappropriation touches products used in interstate commerce, and Congress set criminal penalties as high as $5 million or three times the value of the stolen secret to reflect how much economic harm a leaked unreleased-product roadmap can cause (govinfo.gov, DTSA text; 18 U.S.C. Ch. 90). If Apple's specific factual allegations hold up — a named executive requesting confidential code names in interviews, an engineer allegedly instructing a colleague on how to bypass security review before departure — that is not a story about labor mobility. It is a story about a company allegedly weaponizing its hiring pipeline as an intelligence-gathering operation, and the law is right to provide a remedy for that.
Why this still isn't a case for tightening the rules
The steelman granted, the appropriate response to this dispute is adjudication on Apple's specific factual claims — not a broader crackdown on engineers moving between hardware and AI companies, which is how the coverage of this suit risks framing the moment. Trade secret law is deliberately narrow: DTSA's own definition of "improper means" explicitly excludes reverse engineering, independent derivation, and other lawful means of acquisition, precisely so that ordinary competitive hiring doesn't become presumptively suspect every time a senior employee changes employers (govinfo.gov). Skilled engineers carry general know-how, design instincts, and industry context in their heads as a matter of course; treating every departure-then-competitor-hire as evidence of theft would functionally re-impose the kind of non-compete restriction that undermines the mobility Silicon Valley has long depended on for innovation.
Apple has also been down this road before, and the outcome should temper expectations here. In its 2022 suit against chip startup Rivos over alleged trade secret theft by more than 40 former Apple engineers, a federal court dismissed Apple's trade secret claims in April 2023 before the case ultimately settled in 2024, with Rivos submitting to a forensic audit rather than facing a jury verdict on the merits (Bloomberg via employment law commentary). Sweeping public allegations of "theft at every level" generate headlines faster than courts generate findings, and Apple's litigation history suggests its complaints don't always survive early scrutiny intact.
What to watch
The case will turn on discovery: whether Apple can produce concrete evidence — internal communications, forensic device logs, specific document transfers — tying Tan, Liu, or Peng to actual confidential material, as opposed to general product-design knowledge any senior Apple veteran would carry to a new job. If Apple's specific allegations about code-name solicitation and security-evasion coaching are substantiated, this is a legitimate misappropriation case that deserves to succeed on the merits. If it collapses into a broader narrative about OpenAI's hiring practices without hard evidence of secret transfer, courts should — and likely will — reject it, just as they narrowed Apple's claims against Rivos. Either outcome should be reached through ordinary trade secret adjudication, not through pressure that chills the routine, legal movement of engineering talent between competing hardware efforts.