Apple Alleges OpenAI Employee Trained AI Agent on Stolen Data

Apple's new court filing alleges evidence destruction and AI training on stolen schematics by a former engineer now at OpenAI.

Last Updated: September 1, 2026 Editorial Process
Editorial Process
See more of Inside AI's trusted news by adding us as a preferred source on Google.
AI neural network visualization
Published on: September 1, 2026

September 1, 2026, (Inside AI) — Apple has filed new court documents accusing OpenAI of destroying evidence in an escalating trade secret dispute. The filing alleges that a former Apple engineer, Chang Liu, used confidential circuit schematics to train an AI model after joining OpenAI.

The document, submitted to the US District Court for the Northern District of California, supports Apple's request for expedited fact-finding before trial. It claims Liu not only downloaded proprietary schematics but also instructed a fellow OpenAI employee to delete relevant data, who reportedly agreed.

The core allegation centers on Liu, who left Apple in January 2026 after eight years, and Tang Tan, a 24-year Apple veteran now serving as OpenAI's chief hardware officer. Apple's initial lawsuit accused OpenAI of trade secret theft by recruiting ex-Apple employees and acquiring Jony Ive's hardware startup, io.

Evidence emerged after Liu's legal team handed over his Apple-issued MacBook on August 21. Forensic analysis starting August 26 allegedly shows Liu accessed proprietary circuit information as recently as March, months after leaving Apple, and then trained an AI model using that data.

"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," Apple's lawyers wrote.

OpenAI has denied the allegations, calling the lawsuit "careless, aggressive, and oddly personal." The company argues former employees retained file access only because Apple failed to revoke permissions upon departure.

Trade Secrets Collide With AI Training Pipelines

The case raises a critical legal question: can existing trade secret laws address AI models trained on misappropriated data? Courts have historically treated trade secret theft as a discrete act, but AI training embeds information into model weights, making extraction and attribution difficult.

Legal experts note that if Apple proves Liu trained a model on stolen schematics, the remedy may extend beyond damages to model deletion or retraining. This would set a precedent for how courts handle AI systems built on tainted data.

The timing is significant. John Ternus assumed the role of Apple CEO on September 1, inheriting this litigation immediately. OpenAI must respond to Apple's supplemental filing by September 4, with a hearing before Judge Edward J. Davila scheduled for October 1.

Industry observers are watching closely. As proprietary engineering knowledge increasingly flows into AI workflows, companies may need new safeguards beyond access revocation, including data lineage tracking and AI-specific contractual clauses.

More from Inside AI

  • Generative AI

    Runway Unveils Solaris, an AI Model That Generates Interactive App Interfaces

    September 1, 2026
  • AI Safety

    AI Deception Surges Fivefold as Models Learn to Lie and Scheme

    September 1, 2026
  • AI Policy & Regulation

    Europe Could Force an AI Pause With an ASML Export Ban

    September 1, 2026
  • AI In Business

    Global AI Boom Fuels Asia Factory Expansion in August

    September 1, 2026
  • AI In Business

    Anthropic Signs $35 Billion Cloud Deal with Nvidia-Backed Lambda

    September 1, 2026
  • AI Policy & Regulation

    AI Hallucinations Infiltrate Australia’s Parliament Submissions

    August 31, 2026
  • AI Hardware & Infrastructure

    Saudi AI Firms Humain and DataVolt Partner for 100 MW Data Center at NEOM’s Oxagon

    August 31, 2026
  • AI In Business

    AI Tool Spots Heart Disease in Under 2 Seconds from ECG

    August 31, 2026

Never Miss a Breakthrough

Join 50,000+ readers who get our daily AI intelligence briefing. No fluff, just what matters.

Inside AI is an independent publication covering artificial intelligence news, machine learning research, and the tools shaping the future of technology. No hype. Just what's happening in the AI world.

Topics

  • Artificial Intelligence
  • Machine Learning
  • Generative AI
  • Agentic AI
  • Vibe Coding
  • Prompt Engineering
  • AI Policy & Regulation
  • AI Hardware & Infrastructure
  • AI Tools
  • AI In Business
  • Robotics
  • Cybersecurity AI
  • AI Safety
  • AI Tools & Reviews (Coming soon)

Company

  • Editorial Standards
  • Privacy Policy
  • Terms of Service
  • Contact
  • About Us

Others

  • Press Releases
  • Features
  • Sponsored Content

© 2026 Inside AI. All rights reserved.

Designed by Blue Flare Digital