Google’s latest efforts with AI Studio are pointing towards a broader vision for their Gemini platform. In recent updates, a menu redesign and a new model selector in the build section suggest a shift in how developers interact with Gemini-powered applications. Right now, the model selector may look redundant since only Gemini 2.5 Pro is accessible, but this is a clear signal that multiple model options are on the horizon. The aim here is to accommodate new Gemini variants as Google expands its AI offerings.
For developers, these changes mean more granular control over which model powers their app, potentially leading to differences in cost, speed, and output quality. The Gemini apps build flow remains integrated with Google Cloud, letting users kickstart projects in AI Studio and migrate them as full projects. However, the much-requested ability to publicly host projects directly through AI Studio is not yet live. Once released, a one-click deployment feature will let creators make their apps and outputs public without leaving the platform.
A goal for @GoogleAIStudio:
— Logan Kilpatrick (@OfficialLoganK) September 12, 2025
Enable builders to create 1 million AI powered apps a day, by the end of 2025 🤯
Another notable addition is a dashboard section for monitoring rate limits, helping developers understand when they’re reaching the free tier’s ceiling or when they need to upgrade to API key-based billing. These features are particularly relevant for startups, indie developers, and companies rapidly prototyping AI-powered tools. Google’s commitment to “1 billion AI-powered apps” sets the context; these updates are designed to lower the barrier for building and scaling with Gemini.
The features surfaced in the build section and dashboard of AI Studio underscore Google’s approach to making its ecosystem a central hub for generative AI development. While these updates are not shipping immediately, the team is locking in for about a month to build. The direction is clear: Google is preparing both infrastructure and developer tooling to support a much larger variety of AI-powered solutions, keeping pace with the growing needs of the AI builder community.
