
Apple accuses OpenAI of weaponizing stolen circuit designs and destroying evidence
Key takeaways
- Apple filed evidence claiming Liu used stolen circuit schematics and internal tools at OpenAI after departure
- OpenAI allegedly destroyed evidence when informed of investigation; Apple seeks preliminary injunction on hardware work
- Over 400 former Apple employees now work at OpenAI; lawsuit hints more individuals may be implicated
Apple escalated its trade secret lawsuit against OpenAI this week, submitting evidence that former employee Chang Liu used confidential Apple circuit schematics and internal engineering tools in his current OpenAI role. The allegations emerged after Liu's former Apple laptop was turned over for investigation, revealing what Apple calls coordinated theft and destruction of evidence. Apple claims OpenAI was "well-aware" of Liu's access to proprietary data and that he enlisted colleague Yu-Ting Peng to help destroy evidence in June upon learning of the investigation.
OpenAI has disputed these claims, arguing that Liu's access to Apple files was a systemic issue caused by Apple's poor account management, and that he only retrieved files to assist former colleagues. Apple counters that Liu exploited a previously unknown authentication bug to maintain access. The lawsuit seeks a preliminary injunction blocking OpenAI from hardware development using Apple technology, plus expedited discovery—signaling Apple's concern that more of its 400+ former employees now at OpenAI may be involved.
The bigger picture
This discovery phase reveals how aggressively both sides are building their cases before trial. Apple's emphasis on deliberate evidence destruction and OpenAI's prior knowledge raises stakes beyond simple IP theft; if courts find malice, damages could multiply significantly. OpenAI's "residual access" defense mirrors strategies used in other tech poaching cases, but the authentication bug claim adds technical credibility to Apple's narrative. Watch whether other former Apple employees become defendants—that would signal broader institutional risk for OpenAI.
We're tracking this lawsuit closely because it exposes real tensions in AI talent mobility and corporate security. The evidence-destruction angle transforms this from a routine IP dispute into something darker. We want readers to understand what's actually at stake when top researchers leave companies with access to sensitive designs.
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