Google Maps generative AI experiment rolling out more widely and the results are mixed

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Google Maps generative AI experiment rolling out more widely and the results are mixed
Back in February, Google announced that it was launching a new experiment in Google Maps on mobile for users to find places using generative AI. At the time of the announcement, the experiment was to roll out to a select few Local Guides in the U.S. Two and a half months later, it looks like it is now rolling out to more users. These users may or may not be local guides as well.

I was one of the users who received the invitation to try the new generative AI features in Google Maps, and like many expressed online, I wasn't particularly impressed. Yes, it is experimental, so issues should be expected just as expressed by Google on the invite.


Email invitation to try out the new generative AI features in Maps

This new feature in Maps is meant to be a new way to help users discover interesting places through the power of generative AI. This technology draws upon a vast database of businesses, photos, reviews, and ratings from the community. It then uses this information to deliver personalized and relevant recommendations to users.

During my quick test, I found that I didn't find it to be much different than performing a regular Google Maps search without the AI component. However, Google says that its main advantage is its adaptability. Being able to filter your results further by asking follow-up questions is a plus. For example, you could ask for brunch results nearby and once you have your answers, you can switch things up by saying something like "and how about for lunch?" Additionally, suggestions are categorized and weather-aware.


However, I found that its biggest weakness at the moment is the speed at which it processes and returns recommendations. Right now, it is still pretty slow and there is room for much improvement. That said, Google does highlight that this feature is still experimental, so I will continue to test the feature and provide my feedback in order to further refine and expand its AI-powered capabilities.
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