Pokemon Go
Pokémon Go player data helped build AI mapping systems, now used for robot navigation, raising questions about privacy and ownership. AFP News

A global mobile game has quietly become part of a vast mapping system, raising questions about how player-generated data has been used. Some users online are asking: Was Pokémon Go used as an AI spy tool?

There is no evidence that the game functioned as a covert 'spy tool' in the conventional sense. However, publicly available information shows that the augmented reality game Pokémon Go collected large amounts of location-based data through player activity over several years. This data included images and scans submitted by players as part of optional in-game features linked to locations such as gyms and PokéStops, which were later used to build advanced mapping systems, though participation required users to opt in.

Niantic, the original developer of the game, later created a separate division called Niantic Spatial to focus on artificial intelligence and mapping technology. This division retained access to the collected data even after changes in ownership of the game itself. The data has since been used to develop systems capable of identifying positions with high accuracy in real-world environments.

How The Data Was Collected

Over several years, players contributed to the dataset by capturing images and videos of real-world locations during gameplay. These submissions were often made around popular in-game areas, where multiple angles and lighting conditions could be recorded. Over time, this created a detailed visual database covering urban environments across the world.

Niantic Spatial used this material to build what it describes as a visual positioning system. Unlike traditional GPS, this system relies on images to determine precise location and orientation. The dataset has grown to include more than 30 billion images, forming a large-scale model of physical spaces.

Brian McClendon, chief technology officer of Niantic Spatial, explained the accuracy of the system by stating, 'We had a million-plus locations around the world where we can locate you precisely.' He added, 'We know where you're standing within several centimeters of accuracy and, most importantly, where you're looking.'

How The Data Is Being Used

The mapping system created from Pokémon Go data is now being applied in artificial intelligence projects. One prominent use case involves training navigation models for delivery robots operating in urban areas, which require precise positioning in environments where GPS signals may be unreliable like dense city streets.

Niantic Spatial has partnered with Coco Robotics to test these capabilities in real-world delivery systems. The goal is to improve navigation by allowing machines to interpret surroundings through visual data rather than relying only on satellite signals. This approach enables more accurate movement through complex environments.

John Hanke, chief executive of Niantic Spatial, described the long-term aim of the project. He said the partnership represents the beginning of a plan to build a virtual model of the world that updates over time. This model would continue to expand as more data is collected through both players and machines.

Who Owns Pokémon Go And Its Data Now

Ownership of Pokémon Go changed in March 2025 when the game's operations were acquired by Scopely. The deal was valued at £2.75 billion (approximately $3.5 billion), transferring control of the game to the company, which is backed by Saudi Arabia's Public Investment Fund. Scopely now manages the game and its ongoing development.

However, the mapping data collected over the years was not transferred as part of the game's operations. Niantic Spatial retained control of the database, including location history and visual scans submitted by players. In practical terms, that distinction is significant. It indicates that the data generated during gameplay has an independent lifecycle beyond the game itself, governed by separate corporate structures and use cases.