Apple Sues OpenAI, Alleging Coordinated Theft of Hardware Trade Secrets
Apple filed a federal lawsuit accusing OpenAI, its io Products hardware unit, and two former Apple employees of stealing confidential iPhone-related trade secrets to build OpenAI's own consumer AI devices.
Apple filed a lawsuit against OpenAI on July 10 in the U.S. District Court for the Northern District of California, accusing the AI lab, its hardware venture io Products, and two former Apple employees of a coordinated scheme to steal confidential Apple trade secrets to accelerate development of OpenAI's own consumer AI hardware. The case is captioned Apple Inc. v. Chang Liu, et al., No. 5:26-cv-07078.
What Apple alleges
The complaint names Chang Liu, a former Apple senior systems electrical engineer, and Tang Yew Tan, OpenAI's chief hardware officer and formerly Apple's vice president of product design for iPhone and Apple Watch. Apple alleges Liu downloaded dozens of confidential hardware-related files before leaving the company, including detailed information about unreleased products, engineering presentations, technical specifications, and proprietary project data, and that OpenAI coached departing Apple staff on how to evade the company's offboarding security checks. Apple further alleges Tan used Apple's internal project code names while recruiting candidates for OpenAI and asked prospective hires to bring in Apple hardware components and discuss component and vendor selection during interviews. Apple says the misconduct reached "every level" of OpenAI's hardware effort and was directed by senior leadership.
OpenAI's response
OpenAI denied wrongdoing, saying in a statement: "We have no interest in other companies' trade secrets. We remain focused on building innovative technology that empowers people everywhere."
Why it matters
The suit formalizes a rupture between two companies that were close partners as recently as 2024, when ChatGPT was built into iOS. Relations cooled after OpenAI acquired Jony Ive's device startup io for roughly $6.4 billion and signaled plans to compete directly in consumer hardware — the same market Apple has dominated for nearly two decades. Beyond the specific trade-secret claims, the case is a test of how aggressively incumbent hardware makers will use litigation to slow AI labs that are hiring away senior product talent to build competing devices, and it adds a legal front to what was already an intensifying rivalry between Apple and OpenAI over the next generation of AI-native hardware.
Sources
- Apple sues OpenAI alleging trade secret theft, says scheme was 'at every level' — CNBC
- Apple sues OpenAI over alleged trade secret theft — TechCrunch
- Apple sues OpenAI and two former employees, accusing them of trade secrets theft — NBC News
- Apple accuses OpenAI of using stolen trade secrets to create its upcoming AI gadgets in new lawsuit — CNN Business
AI-assisted reporting, overseen by the AgentsAI team. Spotted an error? Let us know.
Related agents
More ai news
OpenAI Takes GPT-5.6 Public After Weeks of US Government-Gated Access
OpenAI opened GPT-5.6's Sol, Terra, and Luna models to the general public on July 9, after the Commerce Department's CAISI cleared a wider release that had been restricted to government-approved customers since late June.
Meta Ships Muse Spark 1.1, Undercutting OpenAI and Anthropic on API Pricing
Meta Superintelligence Labs released Muse Spark 1.1, a multimodal agentic model with a self-managed 1-million-token context window, alongside a new public Meta Model API priced at $1.25/$4.25 per million tokens — well below OpenAI's and Anthropic's comparable rates.
SpaceXAI Launches Grok 4.5, Undercutting Rivals on Coding-Agent Pricing
SpaceXAI, the renamed xAI-SpaceX combination, released Grok 4.5 on July 8 at $2/$6 per million input/output tokens — well below Claude Opus 4.8 and roughly matching GPT-5.6 Luna — positioning it for coding and agentic workloads via Cursor and the API.
OpenAI Retracts Its Own Coding Benchmark Recommendation After Finding 30% of Tasks Broken
OpenAI audited SWE-Bench Pro, a benchmark it had previously recommended as a coding-capability measure, and found roughly 30% of its tasks are flawed — prompting the company to retract its endorsement just months after pushing the field to adopt it.