Siri with Apple Intelligence is a massive regression from the old Siri, which recognized its limitations and provided a list of search links to answer a query
Writing about the current state of Apple Intelligence yesterday, I mentioned how utterly stupid and laughably wrong Siri is when asked …
Context & Ripple Effects
Apple positioned Siri updates as part of the initial Apple Intelligence developer betas, but coverage of the rollout already noted that some promised capabilities were absent. This critique focuses on a more basic failure mode: replacing an explicit search-results fallback with answers that can be wrong.
It also fits a long-running record of Siri’s constraints, including reporting that organizational dysfunction and limited ambition hindered Apple’s AI work. Later reports that personalized Siri may need a rebuild reinforce that this is not merely a surface-level interface complaint.
First-order effects
- People using Siri for open-ended queries lose a transparent fallback to search links when the assistant cannot answer reliably; incorrect answers become the visible outcome instead.
- Apple’s Apple Intelligence rollout faces a credibility problem in one of its most prominent consumer interfaces, especially where Siri previously signaled uncertainty rather than presenting a bad answer.
Second-order effects
- Search providers and publishers may receive fewer direct referral opportunities from Siri queries if answer generation displaces link lists, even when the generated response is not dependable.
- Apple is pressured to improve answer quality or restore clearer escalation paths to web results; a reported need to rebuild personalized Siri would make that trade-off more consequential.
Third-order effects
- The episode highlights a durable product-design tension in AI assistants: replacing search navigation with generated answers raises the cost of errors unless the product preserves clear provenance and fallback options.
- If assistants increasingly become the interface for discovery, platform owners’ distribution advantage will depend not just on model capability but on whether users trust them to acknowledge uncertainty.
The trend: Consumer AI assistants are shifting from link-based retrieval to direct answers, making reliability, transparency, and fallback design central competitive features.