Google’s recent launch of its Gemini AI app introduced new voice features aimed at simplifying user interactions by handling a variety of tasks with voice commands. However, the app’s branding strategy complicates this goal. Gemini features—including chat, Spark, and Daily Brief—each have separate identities and icons within the app, creating a fragmented experience that may confuse users instead of streamlining their engagement. This approach suggests that Google has yet to pinpoint a standout feature that resonates clearly with consumers.

For example, the Daily Brief function, which provides personalized updates by drawing from Google’s ecosystem like Gmail and Calendar, ends up feeling more like an AI engineer’s concept than something intuitive for everyday users. It struggles to differentiate between truly urgent information and less relevant prompts, sometimes resurfacing past searches that can feel intrusive rather than helpful. On the other hand, Spark offers a practical AI agent that performs tasks on the user’s behalf, but Google’s decision to brand it as a separate product adds unnecessary complexity to the user experience.

The challenges faced by Gemini reflect a broader issue across the AI industry, where firms expose internal product architectures to consumers instead of hiding them behind simpler interfaces. Popular AI services like Anthropic’s Claude and ChatGPT similarly require users to navigate different interaction modes such as “chat” versus “cowork” or “work.” This design emphasizes engineering concepts rather than user convenience, making AI feel less natural and more difficult for mainstream adoption.

In contrast, Apple’s more understated integration of AI improvements into familiar apps and features, like Siri and Spotlight Search, avoids demanding new user habits and demonstrates a smoother consumer experience. Text-based AI assistants following a straightforward messaging interface have also gained popularity by requiring minimal learning curve. As a16z partner Justine Moore noted, users prefer AI interactions that resemble texting a friend rather than juggling multiple branded AI functions, highlighting the importance of simplicity in AI adoption.