On Thursday, Google Earth introduced a new feature that lets users generate AI‑powered images directly onto its satellite, aerial, and 3‑D maps.

The tool, powered by Gemini’s Nano Banana 2 image‑generation model, produces visuals in seconds whenever a user zooms into a location.

Google says the feature is meant to help users visualize historical scenes, plan real‑estate projects, and explore other creative applications. The company highlighted that the new capability can transform a standard satellite view into a stylized illustration or infographic, all within the familiar Google Earth interface.

The launch has drawn criticism from researchers who warn that overlaying AI‑generated imagery onto a trusted mapping platform could be exploited to create realistic forgeries. Digital investigations expert Henk Van Ess noted that Google has spent two decades building a reference point that the world relies on for verification, and that the new feature can now fabricate content. He added that such forgeries do not need to appear convincing on their own because they inherit credibility from the map on which they are created.

Brady Africk, a research analyst at the American Enterprise Institute who specializes in satellite‑imagery analysis, said the update makes it easier to produce convincing fake satellite images that can spread rapidly online and mislead the public. He noted that the growing prevalence of AI‑generated fakes could erode public trust in satellite imagery and complicate the work of journalists and researchers.

In response to the backlash, Google clarified that images created with the new tool include SynthID digital watermarks. SynthID is a watermarking system that embeds an invisible, tamper‑resistant signal directly into AI‑generated content. The company said users can verify the presence of a SynthID watermark by asking its Gemini chatbot.

The feature’s introduction highlights a broader trend of AI tools being integrated into widely used geospatial platforms. While Google Earth has long been a go‑to resource for fact‑checking and verification, the addition of an AI‑image generator raises questions about how quickly fabricated imagery can be produced and shared.

Experts point out that the credibility of satellite imagery is partly derived from its long history of public availability and independent verification. By allowing AI to modify that imagery in real time, the line between authentic and synthetic data may become harder to discern.

Google’s statement about SynthID watermarks suggests the company is attempting to provide a technical safeguard. However, the effectiveness of such watermarks in the public domain remains to be seen, especially if users can remove or obscure them.

The launch of the Nano Banana 2‑powered tool marks a significant expansion of Google Earth’s capabilities, but it also underscores the need for vigilance in the use of AI‑generated geospatial content. Researchers and practitioners will likely monitor how the feature is adopted and whether additional safeguards or policy measures are introduced.

At present, the feature is available to users who wish to experiment with AI‑generated images over Google Earth’s satellite maps. The company has not announced any plans to limit or remove the tool, and no regulatory actions have been reported. The broader implications for misinformation, fact‑checking, and the integrity of satellite imagery will unfold as the feature is used in practice.