When Does It Actually Make Sense to Put AI Into Products?

Quick take

The rush to add AI to every physical product is facing fresh scrutiny. From smart toothbrushes that monitor brushing habits to household robots designed to read moods, AI is becoming a default feature in consumer devices. Yet, this does not guarantee improved user experience or product value.

AI can add complexity rather than clarity. Many connected devices, like smart fridges, prove frustrating when software updates fail or features work unpredictably. Product designers are starting to question when AI genuinely enhances a product versus when it creates unnecessary cost and user headaches.

Why it matters

For product builders and businesses, the lesson is clear: AI should only enter the design process if it solves a real problem or substantially improves outcomes. Otherwise, it risks raising costs, complicating maintenance, and weakening customer trust.

Investors and founders also need to be wary of AI as a buzzword-driven feature rather than a value driver. The market will punish products that add AI without clear benefit or seamless integration. Operational teams face increased support challenges and potential churn if products are over-engineered with AI that fails in practice.

The sensible approach is human-centered AI design focused on practical performance and user needs, not AI for AI’s sake. This will tighten innovation to meaningful cases and reduce wasted effort on gimmicks.

AI Quick Briefs Editorial Desk