There's a post here: https://www.apple.com/newsroom/2026/06/due-to-dma-siri-ai-de...

Take it with a grain of salt but I don't think it's other AI providers that Apple is upset about. The DMA would require users to be able install any openclaw like thing onto their device with access to everything that Siri can access today. There are all sorts of arguments to be made here but I can understand why Apple feels this way and wants to offer a good experience here.

Looks like the problem with DMA has more to do with giving full access to other providers outside of the on-device + private cloud compute architecture. The way I interpret the newsroom post [1], Apple doesn't want to give third-party providers full access to user data when the third-party providers cannot run on private cloud compute for privacy reasons, but the EU wants them to offer the choice anyway.

[1]: https://www.apple.com/newsroom/2026/06/due-to-dma-siri-ai-de...

> they claim it can't be rolled out in Europe because the DMA would force them to allow selection of other AI providers

They don't claim that. All they said is "later in the EU as we look into privacy and security" after spending two hours saying how private and secure everything is.

DMA would force them to allow usage from other apps than their own and other assitants than Siri, especially for on-device models.

Edit I stand somewhat corrected but it's regular Apple bullshit: https://news.ycombinator.com/item?id=48451012

Google search was leaps and bounds better than any other search engine when it came along and dominated. Yahoo couldn’t build their own, and nobody else they could buy from compared.

As i understand it, no LLM is miles ahead of the others right now, especially when it comes to simple agentic stuff. Hell, Qwen3.6-35B-A3 quantized to 3bits running on an 8 year old consumer GPU handles most agentic stuff fine, if a bit slow.

Differences in LLMs boil down to mostly the harness and the compute to run the models. Even for high complexity tasks like coding, the differences between openai, anthropic, google, and the bigger qwen models aren’t that dramatic.

We’re clearly in a different situation at the moment. Google is far from the only useful back end language model provider.

And then they created icloud and now it makes them like $110 billion a year while dropbox makes like $2.5b. I think history has proven them right.

(Ok so $110b is all services revenue not just icloud, but icloud’s a solid chunk of that)