Apple Escalates Trade Secrets Case Against OpenAI With New Laptop Evidence

Apple's lawsuit against OpenAI just got sharper teeth. The company has filed what it calls "shocking evidence" against Chang Liu, a former Apple employee now working at OpenAI, after obtaining his old company laptop earlier this month. For investors tracking the collision between Big Tech and frontier AI labs, this case is worth watching closely. It touches talent mobility, trade secret enforcement, and the porous boundary between hardware giants and AI startups hungry for engineering expertise.

The core allegation is straightforward. Apple claims Liu used a confidential Apple circuit schematic in his OpenAI work, along with a tool sharing a name with an internal Apple engineering application. That is a serious claim in hardware development, where schematics represent years of design investment and competitive differentiation.

More troubling for Apple's legal position is the destruction-of-evidence angle. The company alleges Liu enlisted OpenAI colleague Yu-Ting Peng to help destroy evidence in June, after learning he was under investigation. Apple's filing does not mince words: "The MacBook represents the very limited information Defendants provided so far (and only after weeks of delay), and shows Apple is not conducting 'fishing expeditions' but that its trade secrets are being used and evidence is being destroyed."

That framing matters. Apple is directly rebutting a defense narrative, one OpenAI has pushed publicly, that this dispute amounts to nothing more than routine litigation overreach.

The Access Question

OpenAI's counter-argument centers on what it calls "residual access." The company has said Liu only accessed Apple files after leaving the company, and only to help former colleagues who asked for assistance. In a blog post earlier this month, OpenAI wrote that Apple "now tries to shift the blame to 'residual access,' but they also don't disclose that this is a common issue with Apple which is caused by them failing to properly manage system access when people leave."

Apple rejects that characterization entirely. The company claims Liu exploited "a rare, previously unknown authentication bug" to maintain access, not a garden-variety IT oversight. That distinction is not cosmetic. A known pattern of sloppy offboarding is a very different liability posture than a novel security exploit deliberately used to retain unauthorized access.

Past filings have included text messages from Liu, punctuated with "crying laughing" emojis, that Apple says show he knew he still had access to company files. Emoji-laden texts do not typically inspire confidence in a defendant's discretion, and Apple has clearly leaned on this kind of granular detail to build a narrative of casual disregard rather than accidental oversight.

The stakes extend well beyond one engineer. Apple is seeking a preliminary injunction that would block OpenAI from working on hardware based on Apple's technology while litigation proceeds. It is also pushing for expedited discovery, arguing that additional former employees may be implicated. According to Apple's initial filing, more than 400 former Apple employees now work at OpenAI. That figure alone should give both companies' legal and HR teams pause. It is a large population to audit for potential trade secret exposure, and it signals just how much overlap exists between Apple's hardware talent pool and OpenAI's expanding ambitions in physical AI products.

TechCrunch has requested comment from OpenAI on Apple's newest allegations, and no response had been issued as of this writing.

Why It Matters

The AI talent wars have already reshaped compensation structures and non-compete enforcement across the industry. This case adds a sharper edge: the risk that aggressive recruiting from established hardware and software incumbents could expose fast-moving AI labs to expensive, reputation-damaging litigation over trade secrets. OpenAI has reportedly been building out hardware ambitions, and losing access to Apple-adjacent design knowledge, or facing an injunction that limits how it can use recruited talent, would be a meaningful setback to those plans.

For Apple, the calculus is different but equally consequential. The company has a strong incentive to demonstrate that its confidential hardware designs, the product of enormous R&D spend, cannot simply walk out the door with departing employees and resurface at a competitor. A weak enforcement posture here could invite further poaching with less fear of consequence. A strong one, backed by court-ordered discovery and an injunction, sends a clear signal to the broader talent market.

Key Risks

The evidentiary picture remains incomplete. Much of what Apple has filed is redacted from public view, which means outside observers, including investors trying to price litigation risk into either company's outlook, are working with a partial narrative. Redaction cuts both ways: it can mean Apple has genuinely sensitive material to protect, or it can mean claims are still thin enough that public scrutiny would undercut them.

There is also the question of scale. If more than 400 former Apple employees currently work at OpenAI, and Apple is now pursuing expedited discovery specifically because it suspects broader implication, the legal and compliance overhead for both companies could grow substantially. Litigation of this kind rarely stays contained to a single defendant once discovery begins turning up adjacent conduct.

Finally, OpenAI's defense rests partly on portraying Apple's own security practices as deficient. If that argument gains traction in court, it could shift some liability narrative away from individual bad actors and toward systemic access-control failures, a less clean story for Apple's litigation strategy but one that raises its own governance questions.

The Bottom Line

Neither Apple nor OpenAI has any incentive to let this case drag on indefinitely, given the reputational and operational costs mounting on both sides. Investors and industry watchers should treat the preliminary injunction ruling as the next meaningful checkpoint. A decision favoring Apple would materially constrain OpenAI's hardware ambitions in the near term. A decision favoring OpenAI would weaken Apple's broader deterrent posture against talent poaching, at a moment when that deterrent matters more than ever.