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Report: Apple Plans to Make On-Device AI a Key WWDC Focus

Apple reportedly plans to use next month's Worldwide Developers Conference (WWDC) to highlight its on-device AI capabilities as a competitive advantage, leaning on 15 years of custom silicon expertise to make the case for running AI models locally rather than in the cloud.

Apple Silicon AI Optimized Feature Siri
People familiar with Apple's plans speaking to The Information say the company is expected to showcase how the chips designed for iPhones, Apple Watches, and Macs give it an edge in processing AI queries directly on devices. While cloud-based processing will remain necessary for complex queries, Apple will position local inference as a privacy-preserving, cost-saving alternative to the massive data center buildouts its rivals have pursued.

As part of its agreement with Google, Apple is apparently set to use a large version of Google's Gemini model to train a smaller, distilled version capable of running locally on Apple hardware. Apple is also said to be scouting acquisitions to help advance its model-shrinking work, with one company it has reportedly considered being Liquid AI, a Massachusetts startup focused on running AI locally on devices.

Some queries will still require cloud processing. Apple is believed to have approved the use of Nvidia's confidential compute technology within Google Cloud to handle processing of the larger Gemini-based model. The security feature encrypts data and AI models during processing, adding a modest performance cost but offering stronger privacy protections.

The arrangement represents a noticeable departure from Apple's original Apple Intelligence announcement, in which the company said all cloud-bound queries would be handled exclusively by its own Private Cloud Compute infrastructure running on Apple silicon. Apple is likely to retain the Private Cloud Compute branding despite the change, people familiar with the partnership told The Information.

There are also said to be material limits to how far Apple can push on-device processing. Google's full Gemini model runs into the trillions of parameters, and The Information claims that Apple has struggled to run it on its own Private Cloud Compute infrastructure, which uses the same Apple silicon chips found in Mac computers.

‌Apple Intelligence‌ was first announced at WWDC 2024, but the rollout has been hampered by a tepid response to initial features and a protracted delay to the more personal version of Siri. Apple is now expected to use WWDC 2026, which runs from June 8 to reframe the narrative, reintroduce the delayed features, and debut new ones.

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Top Rated Comments

23 weeks ago

apple keeps talking about AI yet they have yet to release anything related to it. apple = vaporware
It’s only 'vaporware' if you think "AI" is just a chatbot. Apple has been shipping dedicated "AI" hardware since the A11 chip in 2017. The Neural Engine inside an iPhone runs massive machine learning pipelines completely in the background. It handles on-device Live Text OCR, face and object recognition in your photo library, deciding when to charge and how much to charge batteries, computational photography processing at a fraction of the power a CPU would use, and much more. Apple Intelligence does have live features too (albeit in a much more limited and delayed state than originally announced); those same local cores are handling generative text editing and image manipulation. It’s hard to call something vaporware when it has been running on iPhones for years.

Edit: I'm not defending Apple Intelligence or its rollout. I'm simply clarifying that Apple has been running "AI" on our iPhones and Macs for a long time. Focusing only on one particular type of "AI" is not acknowledging the forest because there are some trees missing.

2nd edit: as an example, FaceID is "AI" as well. It's a convolutional neural network (CNN). Even TouchID uses machine learning ("AI"), and that's been around for years.
Score: 19 Votes (Like | Disagree)
madmin Avatar
23 weeks ago
I was taught to use it or lose it
so I prefer using my internal BI*
it's freely available to humans

*brain intelligence
Score: 19 Votes (Like | Disagree)
23 weeks ago
I'm honestly not sure about this. On-device AI capabilities are great and should be the default, but I worry this is going to absolutely wreck battery life.
Score: 17 Votes (Like | Disagree)
23 weeks ago
Just in time for me to finally throw in the towel and hit the “off” switch for AI on all my Apple devices! I miss the in-person live WWDC but with all this AI I can’t imagine they’d be as lively in 2026.
Score: 15 Votes (Like | Disagree)
23 weeks ago
Pushing this is a smart move. On device is definitely the future, particularly for consumer use cases.
Score: 11 Votes (Like | Disagree)
23 weeks ago
Everything I read says On Device or Edge AI will be the future of AI with Cloud AI still being used but to a lesser and lesser extent. A big analogy I keep seeing is the mainframe to the PC. I guess Apple was right all along.
Score: 10 Votes (Like | Disagree)
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