×
Survey shows smartphone buyers prioritize battery life over AI features
Written by
Published on
Join our daily newsletter for breaking news, product launches and deals, research breakdowns, and other industry-leading AI coverage
Join Now

AI features not yet driving smartphone upgrades: Despite Apple’s focus on Apple Intelligence for the iPhone 16, a recent survey reveals that most consumers prioritize basic features like battery life over AI capabilities when considering smartphone upgrades.

  • A CNET survey representative of US adults found that only 10% of smartphone owners currently use AI for tasks like photo editing, while 12% use generative AI services such as ChatGPT.
  • Just 14% of respondents expressed excitement about future AI features on smartphones.
  • AI integrations are the main motivator for upgrading phones for only 18% of those surveyed.

Consumer priorities for smartphone upgrades: The survey highlights that traditional features remain the primary drivers for smartphone purchases.

  • 61% of respondents cited longer battery life as a key factor in upgrading their device.
  • 46% prioritized increased storage capacity.
  • 38% were motivated by improved camera features.

Reluctance to pay for AI services: The survey also indicates potential challenges for monetizing AI features through subscription services.

  • Nearly half of smartphone owners are unwilling to pay extra for AI capabilities on their devices.
  • Subscription fatigue is a contributing factor, with the average American already spending over $1,000 annually on streaming services.

Generational divide in AI adoption: While the general population shows limited interest in AI features, younger users appear more receptive.

  • A separate survey found that 30% of teens said they would upgrade their phones because of AI capabilities.
  • This suggests a potential generational gap in the perceived value and adoption of AI features in smartphones.

Current state of AI integration: The survey results reflect the limited exposure most consumers have had to explicit AI features on their smartphones.

  • Many AI-driven processes, such as those in photo processing, operate in the background without users necessarily recognizing them as AI.
  • The full rollout of Apple Intelligence and similar features from other manufacturers may change consumer perceptions over time.

Future outlook for AI in smartphones: The true test of AI’s impact on smartphone purchases and usage patterns is yet to come.

  • As Apple Intelligence and similar features become more widely available, early adopters’ experiences may influence broader consumer attitudes.
  • The perceived value of AI features could increase as users become more familiar with their capabilities and potential benefits.

Analyzing deeper: AI adoption hinges on demonstrated value: The survey results suggest that for AI to become a significant driver in smartphone upgrades and potential paid services, manufacturers will need to clearly demonstrate its practical benefits to consumers. As AI features evolve and become more integrated into daily smartphone use, consumer perceptions and priorities may shift. However, the current focus on basic functionalities like battery life and storage indicates that AI capabilities will need to enhance these core features meaningfully to drive widespread adoption and willingness to pay for premium AI services.

Smartphone buyers meh on AI, care much more about battery life

Recent News

AI agents and the rise of Hybrid Organizations

Meta makes its improved AI image generator free to use while adding visible watermarks and daily limits to prevent misuse.

Adobe partnership brings AI creativity tools to Box’s content management platform

Box users can now access Adobe's AI-powered editing tools directly within their secure storage environment, eliminating the need to download files or switch between platforms.

Nvidia’s new ACE platform aims to bring more AI to games, but not everyone’s sold

Gaming companies are racing to integrate AI features into mainstream titles, but high hardware requirements and artificial interactions may limit near-term adoption.