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Apple Intelligence

Suite of artificial intelligence tools developed by Apple Inc.

  • 15 min read
  • 6 chapters

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Through Artificial intelligence, Generative AI and Google

On macOS, Apple Intelligence is available only on Apple silicon Mac computers; Intel-based Mac computers are not supported. Features include writing tools that assist users with grammar and proofreading, image generation, summaries of system notifications, AI-assisted image retouching in the Photos app, and integration with ChatGPT, a chatbot by OpenAI.

History

Background

Apple first implemented artificial intelligence features in its products with the release of Siri in the iPhone 4S in 2011. In the years after its release, Apple engaged in efforts to ensure its artificial intelligence operations remained covert; according to University of California, Berkeley, professor Trevor Darrell, the company's secrecy deterred graduate students. The company started expanding its artificial intelligence team in 2015, opening up its operations by publishing more scientific papers and joining AI industry research groups. Apple reportedly acquired more AI companies from 2016 to 2020. In 2017, Apple released the iPhone 8 and the iPhone X with the A11 Bionic processor, which featured its first dedicated Neural Engine for accelerating common machine learning tasks. Siri's investments in artificial intelligence was criticized both by reviewers and internally at Apple for lagging behind other AI assistants.

The rapid development of generative artificial intelligence and the release of ChatGPT in late 2022 reportedly blindsided Apple executives and forced the company to refocus its efforts on AI. In an interview with Good Morning America, Apple CEO Tim Cook stated that generative AI had "great promise" but had some potential dangers, and that it was "looking closely" at ChatGPT. It was first reported in July 2023 that Apple was creating its own internal large language model, codenamed "Ajax". In October 2023, Apple was reportedly on track to release new generative AI features into its operating systems by 2024, including a significantly redeveloped Siri. In an earnings call in February 2024, Cook stated that the company was spending a "tremendous amount of time and effort" into AI features that would be shared "later that year".

Google deal

In January 2026, Apple and Google announced a multi-year partnership under which Apple's next-generation foundation models are expected to incorporate Google's Gemini models and cloud infrastructure. According to the companies, the collaboration is intended to support future Apple Intelligence features, including enhancements to Siri, while Apple Intelligence will continue to operate on Apple devices and through Apple's Private Cloud Compute system, which Apple states is designed to preserve user privacy.

On an earnings call, Apple reported to investors that they were integrating an on-device model of the Google Gemini AI to Siri, as the development of their model was beset with setbacks. Apple has previously tested and used other third-party AI models like ChatGPT, but according to a Bloomberg article by Mark Gurman, Apple pushed forward the proposed Google deal; by using Google's Gemini model possessing 1.2 trillion parameters, Apple would integrate a much larger and more complex model than those it previously developed and used. Comparable AI models from other major companies (including OpenAI and Meta) have also been reported to operate at a similar "trillion-parameter" scale and to compete against Gemini-class systems on benchmarks.

During WWDC 2026, Apple officially announced an improved version of Apple Intelligence, using a next-generation version of Apple's own models trained with the help of Gemini models. The newer version of Apple Intelligence powers an updated Siri, named "Siri AI". In a talk with the media, Apple's senior vice president (SVP) of software engineering Craig Federighi said that the new Siri does not use Gemini's models or infrastructure, but Apple's models are "trained using proprietary data with reinforcement learning and refined using outputs from Gemini frontier models".

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