Apple Inc. Sues OpenAI in U.S. Northern District Court, Accusing Systematic Theft of Trade Secrets
OpenAI's Chief Hardware Officer Tang Tan and former Apple engineer Chang Liu, among others, are accused of guiding departing employees to take unpublished prototypes, design documents, and vendor information. Over 400 former Apple employees have joined OpenAI.
OpenAI allegedly obtained Apple's confidential information through recruitment processes and vendor relationships to accelerate the development of its consumer hardware products, including AI voice-controlled devices.
Apple is seeking an injunction, damages, and the return of stolen data, aiming to prevent OpenAI from relying on improperly acquired technology to advance its hardware business.
Source: Public Information
ABAB AI Insight
Tang Tan worked at Apple for 24 years, responsible for the design of iPhone and Apple Watch products. After leaving in 2024, he joined Jony Ive's io Products, which was later acquired by OpenAI for approximately $6.5 billion, where he became Chief Hardware Officer. Similar talent movements have previously led to intellectual property disputes between Apple and other companies.
OpenAI has rapidly mobilized resources into the consumer hardware sector by acquiring hardware startups, selectively recruiting senior Apple engineers, and instructing them to bypass data security protocols, motivated by the need to address its hardware shortcomings and achieve strategic expansion from AI models to edge devices.
This behavior is reminiscent of Google's strategy of aggressively poaching Apple talent to develop the Android ecosystem. Currently, OpenAI is in the early stages of transitioning from cloud AI to consumer hardware, facing dual bottlenecks in supply chain and intellectual property.
Essentially, this represents restructuring of the industry chain: AI companies are breaking down traditional hardware giants' barriers to innovation through capital-driven talent and technology transfers, accelerating the integration of software and hardware, as cutting-edge AI requires edge computing capabilities, making hardware know-how a scarce resource.
ABAB News · Cognitive Law
Talent is the mobile hard drive of intellectual property; whoever seizes it first wins.
The higher the closed walls, the stronger the poaching leverage; innovation shifts from monopoly to fluidity.
Hardware secrets are easy to steal, but trust barriers are hard to build; the deeper the cooperation, the harsher the lawsuits.