On Friday, Apple announced that it was suing OpenAI for trade secret theft. In the world of fast-moving AI developments, this announcement demonstrated another milestone: former partners becoming rivals. What can your business learn from this development? How can it protect itself?

This story is still developing, but the key elements so far appear to be:

  • Apple and OpenAI entered into a partnership in 2024, which, among other things, resulted in ChatGPT on iPhones.
  • OpenAI has since made significant investments in hardware development, including hiring senior Apple staff to lead its hardware programs and acquiring Jony Ive’s startup in 2025 .
  • The lawsuit alleges that OpenAI stole Apple trade secrets via the hiring of employees and other mechanisms during and after the interview process. Former Apple employees, now at OpenAI, are named in the lawsuit.

What Does It Mean For Your Business?

How this lawsuit will develop, and its impact on customers of both companies, only time will tell. However, there are three patterns here that every business should pay attention to:

Lesson 1: Your AI Partner Can Become Your Competitor

AI companies are rapidly evolving to become more than foundational infrastructure and platforms.

  • Many examples already exist, such as Claude introducing specialized tools for science, demonstrated interest by foundational model companies in drug discovery , and OpenAI’s own development of hardware devices and products. Some AI companies (Google, for example) already have diversified businesses in many domains.
  • The ease with which new AIs themselves generate code further implies that these companies will be motivated to leverage their now massive new software generation skills to push upward in the product stack.
  • Even as foundation AI models become more advanced, from a user’s perspective, they become more and more interchangeable (one needs to be quite advanced as a user even today to really see the measurable difference between models). This issue further pushes the model creators to find other means of differentiating themselves.

The lesson to be learned here is that the AI model providers have powerful motivation and resources to push into the spaces currently dominated by their customers.

Lesson 2: Taste is a differentiating factor.

When an AI model can build anything and execute anything, often at speeds that outpace humans, the differentiation is not in how quickly you can build it, it is deciding what to build in the first place. As noted in the 5 T’s of Success in AI , this is called “Taste” (also referred to as domain expertise, instinct, experience, etc.). Established businesses have an understanding of their customers that newcomers cannot match via execution speed alone. While this Taste can live in datasets, it also lives in the knowledge of your employees. This knowledge is the easiest to transfer between companies, often in the form of strategic hires.

The lesson here is that your key employees are a critical asset not just because they understand the inner workings of your business, but also because they have a “Taste” for what your industry needs and wants, and what your customers need and want. In the world of AI, this could well be your greatest critical asset to protect.

Lesson 3: Managing Cross Interviews

It is worth noting that several stated elements cover the way that employees moved between the two companies and what was specifically covered during the interview process. You should ask yourself if your interview processes would stand up to scrutiny, as this lawsuit illustrates. Do your employees know not to ask questions about proprietary work done by a candidate, and do they understand how to protect your intellectual property from being tainted by AI knowledge from another company? While many companies know the best practices for their domain, AI is a new technology that many employees do not yet understand the IP navigation of. If you are interviewing a candidate who works for a partner, what are you allowed to ask them about their AI development?

In my experience, companies have practices in place to avoid IP tainting and working safely with partners, but AI brings elements into these that employees have not had to handle before and may not recognize as risks. If you have AI partners, ask yourself the following questions:

  • Does your AI partner have product ambitions adjacent to your category?
  • Does your integration expose your differentiating workflow or only commodity tasks?
  • Does your partner have domain knowledge in your business space? Do they express any interest in acquiring such knowledge? Are they hiring in your domain or taking any other steps that signal interest?
  • Have any employees moved between companies recently? If employee moves have occurred, have they been triggered by work done during the partnership (for example, did the employee(s) in question work on the partnership)?
  • Does your workflow have a dependency on a single AI vendor? Can you switch vendors quickly if needed?
  • Do your contracts address a partner who competes, not just one who leaks?

Ensuring that your company processes factors in such actions can help teams understand the new risks that AI brings to partnerships and learn to recognize these risks and prepare employees to protect business outcomes.

The Takeaway: The Non-Negotiables

A specific lawsuit (such as this one and other recent legal actions ) will drive decisions that will force interpretation of law and set legal precedent, which itself will affect how new laws are developed and existing regulations interpreted. That said, the non-negotiable for business remains the same: revenue and Return On Investment (ROI). To protect ROI, ensure that your critical business assets (such as your employees, their knowledge, and their Taste) remain with you, watch out for partners who appear to be evolving into competitors, and track case law to know how you can protect yourself in an ever-changing landscape.