Smartphone buyers meh on AI, care more about battery life
Smartphone users largely prioritize practical improvements like longer battery life, reliability, and smaller form factors over new on-device “AI” features. Many complain that current assistants such as Siri and Gemini still fail at basic tasks (reminders, voice control, smart home commands), making heavily marketed AI integrations feel like half-baked gimmicks or investor-driven hype rather than real value. While some acknowledge quiet benefits from machine learning in areas like photography, transcription, and search, most argue they care about outcomes — better cameras, smarter notifications, easier control — not whether those are powered by AI.
Voice assistants & “AI” UX frustrations
- Many describe Siri and Google Assistant/Gemini as unreliable or regressing: mis-heard commands, looping prompts, broken reminders, smart home and media controls that used to work but no longer do.
- In-car use is a flashpoint: assistants hide maps, mis-handle alarms, or require too much interaction, creating safety concerns.
- Some suggest “fail-safe” behaviors (e.g., asking the driver to pull over, or gracefully giving up) instead of persisting in unusable states.
- Several note that simple speech-to-text and text-to-speech often perform worse than cheap devices or open-source tools.
What users actually want from phones
- Top desires are longer battery life, reliability, and basic functions that “just work” (calls, messaging, navigation, camera).
- Many would prefer better UX for notifications, alarms, calendars, and media playback rather than generative features.
- There is demand for better local search across personal data (photos, files, messages) and robust call/ scam screening.
Views on AI features and use cases
- Hidden ML uses (computational photography, OCR, translation, predictive typing, image search) are broadly appreciated, though often not recognized as “AI.”
- Generative features (chatbots, image cleanup, story generation) are seen as gimmicky unless tightly integrated and highly reliable.
- Some describe real productivity from tools like ChatGPT or NotebookLM; others argue LLMs are slow, inaccurate, and overhyped.
- Several want true “agentic” behavior: assistants that manage schedules, flights, and follow-up tasks across apps, but note today’s systems aren’t trustworthy enough.
Privacy, on-device vs cloud, and control
- On-device models are valued for privacy and offline use, but there is pushback against burning battery for marginal features.
- Some prefer robust, attestable cloud setups; others distrust any remote data processing and want the option to disable AI entirely.
Hardware preferences: battery & size
- Strong interest in bigger batteries and easier battery replacement; frustration that thinness is prioritized over endurance.
- Persistent niche demand for small, flagship-spec phones (e.g., “mini” iPhones), but recognition that past small models sold poorly.
Surveys, hype, and market dynamics
- Commenters critique the cited poll design as ambiguous and easy to spin.
- Many see phone-side AI marketing as investor-pleasing hype to stimulate a stagnant hardware market, not a response to user demand.