1. Apple’s AI is seen as a flop
Many users feel Apple Intelligence never delivers useful features.
- “Just a total failure of execution.” – Analemma_
- “I couldn’t tell you a single Apple Intelligence feature.” – Analemma_
- “I don’t even know what they released. It is complete failure of execution on their part.” – eknkc
2. On‑device inference is technically hard and unlikely in the near term
The discussion repeatedly points out the memory and compute limits of current phones.
- “Beyond minimal classification and such, on‑device isn’t happening.” – bitpush
- “You need minimum 24 GB VRAM to load up a model.” – bitpush
- “Apple is sitting out the AI race.” – dpoloncsak
3. Market dynamics and consumer expectations shape the debate
Users compare Apple to Android, Microsoft, and the broader ecosystem, noting that brand image and network effects matter more than raw AI power.
- “The market/users doesn’t care… it’s quite sad to see that Vision Pro, Apple Intelligence and liquid glass were all failures and no one cared.” – upmind
- “I hope Android makes a comeback against Apple in the US so they’re forced to innovate.” – upmind
- “Apple’s zero‑junkware, zero‑carrier‑meddling policy is a major contributor to the brand’s premium image.” – cosmic_cheese
These three themes—Apple’s perceived AI failure, the technical hurdles of on‑device models, and the broader market/consumer context—dominate the conversation.