Based on reflections from the GEOINNO 2026 conference, this article examines how the geography of AI adoption and diffusion is measured. It shows how different definitions, populations, AI activities, and data sources lead to different outcomes, and why clarity about what is being measured matters.

Google’s release of Nano Banana has quickly made it one of the most popular AI models for image generation and editing. This article explores its rapid adoption, the technical advances behind it, and the wave of independent wrappers built around it. We also introduce the Nano Banana AI Tools Ranking, highlighting which wrappers gain the most traction.