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Court documents: OpenAI says Apple's ChatGPT integration to power Apple Intelligence on iPhones “dramatically underperformed” after it launched in 2024

Financial Times Michael Acton

Context & Ripple Effects

Apple’s 2024 arrangement put ChatGPT into Siri and other apps, but Apple was not paying OpenAI for the integration and was instead pursuing eventual revenue-sharing arrangements with chatbot providers. OpenAI’s account in court documents puts a concrete performance problem behind that model.

The disclosure follows reports that OpenAI was weighing legal action over revenue expectations that fell short. It matters because prominent placement inside Apple Intelligence did not translate into the level of engagement OpenAI expected.

First-order effects

  • OpenAI’s Apple-distribution channel has failed to support the revenue expectations attached to ChatGPT’s iPhone integration, weakening the commercial case for the partnership.
  • Apple must contend with evidence that its ChatGPT extension has not generated the user uptake OpenAI anticipated, despite its placement in Apple Intelligence.

Second-order effects

  • Chatbot providers seeking Apple integrations will have less reason to treat iPhone access alone as a route to substantial usage or revenue; Apple’s planned addition of other chatbots will need to offer a clearer user proposition.
  • Any revenue-sharing terms Apple seeks from AI partners become harder to justify at premium economics when a flagship integration has underperformed.

Third-order effects

  • The result points to a more demanding phase for AI distribution deals: operating-system access is valuable, but partners will increasingly be judged on whether embedded features convert placement into sustained use.
  • If comparable integrations show the same pattern, AI labs will put greater weight on direct products and monetization rather than treating device partnerships as a standalone growth engine.

The trend: AI distribution is shifting from headline platform partnerships toward proof that embedded assistants produce durable engagement and monetizable demand.