Google Maps is about to get a big dose of AI

TechCrunch / 4/22/2026

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Key Points

  • Google announced enterprise-focused generative AI features for Google Maps and geospatial apps at Cloud Next, expanding AI-powered mapping and analytics capabilities.
  • A new Maps Imagery Grounding feature lets users type prompts into Gemini Enterprise Agent Platform to generate realistic Street View scenes for projects like film sets or construction plans.
  • Google also introduced Aerial and Satellite Insights, enabling analysis of satellite imagery stored in Google Cloud’s BigQuery to reduce what the company says can take weeks into minutes.
  • The company launched two new Earth AI Imagery models trained to detect objects such as bridges, roads, and power lines, aiming to eliminate the need for months of custom AI training.
  • These updates further Google’s broader push to provide an enterprise Earth geospatial AI platform used by partners including Airbus.

Google has unveiled new generative AI features for its mapping and geospatial apps that are designed with enterprise users in mind. The new features, announced at Cloud Next in Las Vegas this week, add generative AI capabilities to Google’s mapping platform, giving it enhanced visual and data analytics powers.

One of the new features, called Maps Imagery Grounding, allows enterprise users to use generative AI to create realistic scenes in Google Street View to visualize how a particular project—be it a movie set or a planned construction site—might look. Users merely type a prompt into Gemini Enterprise Agent Platform, which then conjures the scene inside Street View, as long as the proper settings have been enabled within Google Maps Imagery.

“In seconds, you can storyboard your creative vision with an accurate image—and you can even use Veo to animate the scene,” the company said in its press release.

The company is also expanding the ways in which users can analyze data from satellite imagery in Google Earth. A new feature called Aerial and Satellite Insights allows users to analyze imagery that is stored in Google Cloud’s BigQuery—the company’s cloud-based data warehouse and analytics platform. The company claims that this feature shrinks “weeks of work” into just minutes of labor.

Finally, the company is also launching two new Earth AI Imagery models, AI systems designed to assist with geospatial analysis. Google says that the models have been trained to identify “specific objects in imagery–like bridges, roads, and power lines.” Previously, companies had to build and train their own AI systems to do this, a process Google says could take months. The new models mean “businesses no longer need to spend months training and building AI from scratch when developing their own products.”

The announcements build on Google’s broader push into enterprise geospatial AI. The company’s Earth AI platform is already being used by partners including Airbus and Boston Children’s Hospital for applications ranging from environmental monitoring to disaster response.

“These AI updates unlock entirely new possibilities for businesses, data analysts, and urban planners,” the company said in its release.

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