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OpenAI Asks Court to Throw Out Apple’s Trade Secrets Lawsuit

OpenAI has asked a U.S. federal court to dismiss Apple’s lawsuit accusing the company of misappropriating trade secrets to push its consumer hardware ambitions.

In a court filing submitted on Wednesday, OpenAI argued that it has no interest in using Apple’s confidential information and is building products independently. The filing follows Apple’s lawsuit in July, which alleged that OpenAI worked with two former Apple employees and leveraged supplier relationships to obtain proprietary information.

OpenAI rejected the allegations, stating that it hires talented engineers and developers because of their expertise rather than to acquire confidential information. The company said recruiting former Apple employees does not constitute trade secret theft and maintained that its hardware efforts are separate from Apple’s technology.

Can companies prove where employee knowledge ends, and trade secrets begin?

The case touches on one of the most difficult questions in the AI industry, which is, when does an engineer’s expertise become a company’s intellectual property? According to the U.S. Bureau of Labour Statistics, millions of Americans change jobs every month, with technology remaining one of the most mobile sectors.

At the same time, AI talent has become increasingly expensive, with experienced researchers reportedly receiving compensation packages worth several million dollars. As companies try to secure top engineers, courts are being asked more frequently to determine whether knowledge gained through experience differs from confidential designs, source code, or product roadmaps. A ruling that favours either side could influence how AI firms recruit senior talent and how employers protect proprietary research.

What this case could mean for future AI partnerships

The dispute could influence how AI companies structure future partnerships with hardware manufacturers, suppliers, and engineering firms. Apple’s supply chain includes more than 180 major suppliers worldwide, while AI companies are increasingly relying on similar networks to develop custom chips, wearable devices, and AI-powered consumer hardware. That dependence could lead to tighter supplier contracts, stronger information-sharing controls, and more extensive background checks before sensitive projects begin.

As companies invest more in proprietary AI hardware, partners may face stricter confidentiality obligations, shorter information access windows, and more detailed audit requirements. The result may not be fewer partnerships, but partnerships governed by more rigorous legal and security standards than in previous technology cycles.

Meanwhile, OpenAI has reportedly discussed giving the US government a 5% equity stake in the company, a proposal that reflects Washington’s increasing involvement in the artificial intelligence industry and could shape how emerging technologies, including crypto, are regulated.

 

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