OpenAI Publishes Blog Post Calling Apple's Trade Secrets Lawsuit 'Careless, Aggressive, and Oddly Personal'

OpenAI has published a blog post titled "Apple is getting this wrong" responding to Apple's trade secrets lawsuit, describing the litigation as "careless, aggressive, and oddly personal" The Verge. The post, published on August 3, 2026, at https://openai.com/index/apple-is-getting-this-wrong/, arrives as Apple seeks a preliminary injunction to block two former employees from using alleged confidential information OpenAI.
Apple's lawsuit centers on Chang Liu and Tang Tan, both former Apple employees who have since joined OpenAI The Verge. Liu was a former iPhone engineer at Apple and now works on OpenAI's technical team. Tan spent 25 years at Apple, overseeing iPhone and Apple Watch design, before becoming OpenAI's chief hardware officer.
Apple alleges that Liu and Tan took confidential information about unreleased Apple technologies, processes, and products to advance OpenAI's hardware plans. On August 4, 2026, Apple sought a preliminary injunction to prevent Liu, Tan, and OpenAI from accessing, acquiring, using, or disclosing the alleged confidential information while the lawsuit proceeds.
The filing details specific allegations against Liu. Apple claims he failed to return a company-owned computer and used an authentication vulnerability to access Apple's cloud-based network storage weeks after leaving the company. Apple further alleges that Liu downloaded confidential files from Apple's storage system and instructed another Apple colleague on how to do so while avoiding detection by Apple's security team.
Tan faces separate allegations. Apple claims he asked for confidential Apple information when interviewing Apple employees for OpenAI jobs and instructed interviewees to showcase Apple components they had worked on.
OpenAI's rebuttal addresses each point. The company stated that Apple's preliminary injunction request is "based on false information and completely unnecessary" because OpenAI does not have or want Apple's trade secrets OpenAI. Regarding Liu, OpenAI said Apple employees reached out to Liu for help locating information and that Apple failed to properly manage system access for former employees. OpenAI said Tan "has always been clear with the team that we do not want, and must not use, any confidential information from other companies."
OpenAI also refuted Apple's claim that it did not respond to initial inquiries. According to OpenAI, Apple's outside lawyers emailed the wrong person after confusing two Asian last names. To support this account, OpenAI published emails of interactions between the two companies' legal counsel directly in its blog post.
The publication of internal legal correspondence marks an aggressive public stance by OpenAI. Trade secrets disputes between large technology companies are typically litigated through sealed filings and private negotiations. By publishing the emails and framing Apple's claims as personal, OpenAI is carrying a legal defense into the public arena.
The allegations around Liu highlight technical security failures that will be familiar to enterprise security practitioners. Apple's claim that Liu exploited an authentication vulnerability to access cloud storage weeks after his departure points to gaps in offboarding workflows, specifically around identity and access management controls for departed employees. OpenAI's counter-narrative, which places blame on Apple for failing to properly manage system access and describes Apple employees asking Liu for help locating information, suggests the access was not malicious. Resolving that dispute will likely require forensic audit logs detailing authentication timestamps, access tokens, and user activity trails.
The allegations against Tan, involving the solicitation of confidential information during employee interviews, raise different concerns. If accurate, instructing candidates to showcase proprietary components during interviews would represent a novel vector for extracting intellectual property. OpenAI's categorical denial, anchored in a stated internal policy against using confidential information from other companies, sets up a factual dispute that will hinge on witness testimony and any documented interview records.
For technology professionals, the case underscores the persistent friction between talent mobility and intellectual property protection. As AI companies expand into hardware, the demand for experienced consumer electronics engineers creates direct competition with established device manufacturers. The movement of senior hardware leaders like Tan from Apple to OpenAI accelerates capability transfer but also triggers inevitable legal friction over what knowledge is proprietary and what is general industry expertise.
The preliminary injunction request on August 4, 2026, will be the first test of the merits. If granted, it would restrict Liu, Tan, and OpenAI from accessing or using the contested information during the litigation period. If denied, Apple's leverage in subsequent settlement negotiations diminishes.
OpenAI's decision to litigate this dispute publicly, with published source materials, signals a deliberate communications strategy. Whether that strategy complements or complicates the legal defense remains to be seen. The core technical and legal questions, around what was accessed, why, and with what authorization, will now be tested in court.


