Most iPhone owners see little to no value in Apple Intelligence so far

Original Article ↗ Hacker News Discussion ↗

Most iPhone users who have tried Apple’s new on-device “Apple Intelligence” features report little practical benefit, seeing things like image generation, message rewriting and basic summaries as gimmicky or unreliable. Commenters argue that Siri still fails at being a dependable assistant, integrations with third‑party apps are shallow, and the rollout feels rushed, battery‑draining, and restricted to only the newest hardware. A minority find value in background features such as notification triage, email summaries, or accessibility improvements, but many see the push as driven more by AI hype and investor pressure than by clear, user-centered use cases.

Overall Sentiment

  • Many commenters find Apple Intelligence underwhelming or pointless in daily use; several have disabled it.
  • A minority see clear value in specific features (summaries, notification filtering, writing help), but almost nobody reports it as transformative.
  • Some argue that even 20–30% of users finding value at launch could be framed as “success,” but others note the survey data is too vague to interpret cleanly.

Perceived Usefulness of Features

  • Commonly liked:
    • Notification / email summaries for catching up on fast-moving threads or triaging long chains.
    • Reduce Interruptions focus and other ML-style classification (seen as “old” AI, but genuinely helpful).
    • Text proofreading / tone softening, especially for non-native writers or people who write aggressively.
    • Occasional coding assistance (mainly via other tools like Copilot/ChatGPT, not Apple’s own).
  • Commonly dismissed:
    • Image Playground, Genmoji, and photo cleanup seen as toys or “corny,” often with poor quality or obvious artifacts.
    • Message / mail categorization and summaries are frequently inaccurate or even invert meaning, destroying trust.
    • Visual intelligence is mostly just handing off to ChatGPT or Lens, which users already had via separate apps.

Siri and the “Real Assistant” Gap

  • Strong desire for an actually capable, context-aware assistant that can:
    • Orchestrate across apps (calendar, messages, email, notes, smart home).
    • Automate multi-step, real-world tasks (e.g., handling dentist visits, travel, recurring chores).
  • Many report Siri remains unreliable, slow, or obtuse even after the Apple Intelligence branding; some say it’s only good for timers.

UX, Reliability, and Performance Problems

  • Complaints about:
    • Battery drain and device freezes; some users report stability improving when Apple Intelligence is disabled.
    • Noticeable notification delays due to summarization, including in CarPlay.
    • Terrible onboarding: Image Playground fails with no clear progress indication; weird naming clashes (Playgrounds vs Swift Playgrounds).
    • Awkward UI (unreadable error toasts under the Dynamic Island, confusing controls like “Appearance”).
  • Summaries in Messages and notifications often appear without clear indication that they are summaries, causing confusion.

Accessibility and Voice Interfaces

  • Several see massive potential for blind or low-vision users if voice control and on-device understanding become robust.
  • Current reality is described as “rage-inducing”: touch-only UIs removed autonomy, assistants are flaky, and AI promises aren’t delivered.
  • Debate over whether LLMs are actually necessary versus more traditional, deterministic voice interfaces.

AI Hype, Comparisons, and Business Pressure

  • Many compare Apple unfavorably to GPT‑4o, Gemini, and other cloud models; Apple’s tiny on-device models are seen as especially weak for summarization.
  • Some defend Apple’s slower, more private approach and note prior ML wins (Photos search, autocorrect), arguing “AI” has been there for years without the label.
  • Broader discussion about AI hype: companies pushing Copilot and similar tools for stock-market optics and “not missing the boat,” regardless of actual productivity gains.

Desired Future Direction

  • Commenters want:
    • Deep, invisible integration where AI quietly improves notifications, search, Shortcuts, and app-to-app workflows.
    • Less emphasis on gimmicky generative features and more on reliable, agentic OS-level assistance.
    • Clearer affordances: what AI can do, where it’s active, and strong controls to disable specific behaviors (e.g., message suggestions) without killing everything.