Gemini App Getting Full Redesign that Overhauls Every Part of the UI

Why It Matters

The UI overhaul aims to boost user engagement and position Gemini as a more polished competitor in the AI chat market, signaling Google’s commitment to seamless AI integration across platforms.

Key Takeaways

• Gemini introduces pill-shaped prompt box with quick-access carousel
• New gradient background adds visual flair to chat interface
• Model picker returns to top‑left dropdown for easier selection
• Account switcher moved to bottom of navigation drawer
• Redesign rolls out on iOS first, Android testing underway

Pulse Analysis

Google’s Gemini app redesign reflects a broader industry shift toward more immersive, visually engaging AI experiences. While competitors like OpenAI’s ChatGPT have focused on functional simplicity, Gemini now leverages a pill‑shaped prompt, gradient backdrops, and Liquid Glass effects to create a tactile, modern feel. These design cues not only make the interface feel premium but also streamline workflow by surfacing tools—photos, camera, files, notebooks—through a bottom‑sheet carousel, reducing the number of clicks required to start a task.

From a usability perspective, the repositioned model picker and relocated account switcher address long‑standing navigation pain points in Google’s first‑party apps. Placing the model selector in the top‑left corner mirrors familiar dropdown patterns, while moving the account switcher to the navigation drawer’s base declutters the main view. The updated thin‑outline icons and pulsating gradient background reinforce a cohesive visual language across devices, helping users transition seamlessly between Mac, iOS, Android, and web environments.

Strategically, the redesign underscores Google’s intent to make Gemini a flagship AI product that can compete with entrenched players. By rolling out the new UI on iOS first—where design trends like Liquid Glass resonate strongly—Google gathers early feedback before broader Android and desktop releases. A polished, user‑centric interface can drive higher daily active usage, attract enterprise adopters, and ultimately translate into stronger data collection for model refinement. As AI assistants become central to productivity suites, UI differentiation may prove as critical as underlying model performance.