On Friday, July 10, 2026, Apple filed a 41-page civil complaint in the U.S. District Court for the Northern District of California against OpenAI, io Products, former Apple VP of Product Design Tang Tan, and former Apple senior system electrical engineer Chang Liu. The suit alleges that OpenAI systematically recruited Apple hardware staff and acquired trade secrets covering metal-finishing techniques, CAD files, prototype parts, and an internal “Need to Know” document on departure security. For readers tracking AI hardware and the talent wars, this is the largest AI talent-poaching case on file, and it lands on top of OpenAI’s planned consumer-hardware roadmap with Jony Ive.
What the complaint actually alleges
According to CNBC’s read of the filing, the complaint opens with: “This case is about Apple’s former employees stealing Apple’s trade secrets for the benefit of OpenAI. Apple brings this suit to put a stop to it.” A second passage goes further: “This is the tip of the iceberg. Apple lacks visibility into what’s been happening behind closed doors at OpenAI, where such misconduct is normalized and exemplified by leadership.” Apple is seeking injunctive relief and damages.
The case is built around two named individuals. Tang Tan was Apple’s VP of Product Design for 24 years, led iPhone and Apple Watch design, departed in February 2024, and is now OpenAI’s Chief Hardware Officer. CNBC reports that Tan is alleged to have used internal Apple project codenames while interviewing candidates who were still employed at Apple, asking them about plans for unannounced products and directing them to bring “Actual parts” for “show and tell” sessions. The complaint further alleges that Tan instructed candidates to bring “CAD/design artifacts” and “prototypes,” and to divulge “subsystem and component selection,” “tools or methodologies you use for system integration,” and “vendor selection and communication/collaboration with vendors.”
The most striking allegation involves an internal Apple “Need to Know” document covering departure security protocols. Per the same CNBC filing summary, Tan distributed that document to incoming OpenAI hires before they gave notice at Apple, after a candidate began “screenshotting and downloading files relating to a highly confidential Apple project.” Tan then allegedly “solicited more information about that same Apple project” during the interview.
Chang Liu, the second named defendant, was a senior system electrical engineer at Apple for eight years and left in January 2026. The complaint alleges Liu exploited a security bug to download confidential engineering files after departing, including a “compilation of technical files with over a thousand pages” containing manufacturing documents for circuit boards. Liu is alleged to have joked about the exploit in messages (“LOL,” “so funny”), failed to return an Apple-issued laptop, and coached another departing Apple employee on which materials to study before her OpenAI interview. One candidate commented that they “didn’t even know we could take those from the office.”
Beyond the two named engineers, the complaint describes a broader pattern. OpenAI allegedly directed departing Apple employees to evade Apple’s security processes, used a trusted Apple partner to carry out Apple’s metal-finishing technique “under misleading pretenses,” and approached a second supplier using insider terminology to ask “targeted questions.” More than 400 former Apple employees now work at OpenAI, per the filing.
Why this case is different from a typical talent-poaching suit
Most AI-poaching cases live in non-disclosure and non-compete territory. They turn on whether an employee took a customer list or whether a non-compete clause is enforceable in California (almost never). Apple’s complaint is built on the Defend Trade Secrets Act and state trade-secret law, and the alleged trade secrets are not lists or strategy decks but engineering artifacts: CAD files, prototypes, vendor selection, metal-finishing methods, and a thousand-page compilation of circuit-board manufacturing documents. The injunction Apple is seeking would constrain what those engineers can build at OpenAI, not just where they can work.
Per the Spyglass analysis of the case, the discovery and injunction risk is what makes this filing threatening to OpenAI’s hardware roadmap. Tan is central to OpenAI’s device work alongside Jony Ive, whose design firm io was acquired by OpenAI for $6.5 billion. Spyglass writes that the case could “sidetrack their hardware aspirations for years. Possibly forever.” Jony Ive himself is not named in the complaint, which limits how far the discovery net can reach, but the filing sets up years of depositions and document turnover touching the leadership of OpenAI’s consumer-device effort.
Two procedural details sharpen the read. First, Apple had raised concerns with OpenAI in February 2026 about the same conduct; per the filing, OpenAI did not respond. That timeline matters because Apple can use it to argue the alleged trade-secret acquisition was willful, which under the Defend Trade Secrets Act unlocks the statute’s enhanced remedies, including exemplary damages and attorney’s fees. Second, the ChatGPT-Siri partnership is explicitly not at issue. Apple can litigate the hardware side without disturbing the integrated assistant deal, so OpenAI cannot credibly threaten to walk away from Siri integration as a counter-lever.
What This Means
The lawsuit is the cleanest single shot an incumbent has taken at an AI lab over hardware talent in this cycle. It names specific people, documents, and suppliers, and it is filed in a venue where trade-secret injunctions move fast. For OpenAI, the near-term cost is not just the legal bill - every engineer who interviewed at OpenAI from Apple in the last three years is now a potential deposition witness, and every Apple employee who joins OpenAI in the next twelve months will be reading the complaint before signing.
Three threads are worth pulling on. First, the “show and tell” pattern - candidates bringing physical parts and CAD files to interviews - is the kind of recruiting practice any AI lab hiring from a hardware incumbent should expect to face scrutiny on now. The complaint sets a precedent that recruiting processes themselves can be evidence of trade-secret acquisition, not just the individual employee’s later conduct.
Second, the case lands one day before OpenAI posted a dedicated product manager role in San Francisco for families, caregivers, and older adults, and weeks after ChatGPT shipped on Apple devices via the Siri integration. OpenAI is pushing into the consumer surface while sitting in a defensive legal posture; the company’s strategic options on hardware just narrowed whether or not this suit succeeds.
Third, the “400-plus former Apple employees now work at OpenAI” figure is the load-bearing fact. If Apple litigates aggressively and gets discovery into OpenAI’s recruiting - who was interviewed, what they brought, who at OpenAI received what - the document trail will reshape how every major AI lab staffs its hardware teams. Watch for any other AI hardware company to quietly update its recruiting playbook before OpenAI files its answer.
The Bottom Line
Apple’s complaint is built on specific trade secrets (CAD files, prototypes, a metal-finishing method, a thousand pages of circuit-board manufacturing documents), named individuals (Tan and Liu), and a named acquisition strategy (the “show and tell” interview pattern). Filed in the Northern District of California, the relief Apple is seeking (injunctive relief plus damages under the Defend Trade Secrets Act) could constrain what OpenAI’s hardware team can build for years. For AI labs that hire from hardware incumbents, the lawsuit is now the precedent their recruiting processes will be measured against.