Tesla now says it needs its own maps for FSD after years of dismissing maps

Tesla now says it needs its own maps for FSD after years of dismissing maps. The company’s head of AI described the effort on Tesla’s Q3 2026 earnings call. It’s a notable shift for a company whose CEO spent years arguing that self-driving systems relying on maps are brittle. Tesla’s VP of AI, Ashok Elluswamy, agreed that “we shouldn’t be depending on external people’s maps.” He said Tesla is building its own maps using a new AI-based mapping and navigation architecture, fed by what the fleet collectively learns, that will also learn individual drivers’ preferences and respond to voice commands. He said the technology will start handling the beginning and end of trips with FSD v15, and over the following months take over navigation, parking and destination handling. Tesla’s history with maps shows it has gone back and forth on this issue. In 2015, when it launched Autopilot, Tesla told Fortune it had started building high-precision maps with “100 times the level of granularity” of standard navigation, using data from its customer cars. At its Autonomy Day in 2019, Elon Musk said Tesla had tried high-precision lane maps and realized it was “a huge mistake.” He called relying on them a “really bad idea” that makes a self-driving system “extremely brittle.” The main difference is that Waymo’s cars have lidar on top. It also fits how Tesla’s Robotaxi service actually operates: city by city, inside small geofenced service areas, with Tesla handling the fleet operations. Tesla isn’t talking about centimeter-level HD maps today, but a fleet-built map that keeps getting more detailed could easily head that way. Tesla’s fleet is now a mapping fleet. Waymo maps a city by driving its sensor-equipped vehicles through it before launching service, and keeps those maps updated as its fleet drives. Tesla is now describing the same idea: its cars collect what they see, and that data feeds a Tesla-built map that helps every car drive better. The question comes down to understanding the environment. Speed limits, parking and routes are all about understanding the environment, and FSD still often fails at it, especially with speed limit signs. Last month, a Belgian road safety group found that FSD sped in 55% of the 30 km/h zones it tested in Brussels, averaging 44 km/h, partly because the car’s screen showed a 50 km/h limit in most of those zones. In the US, NHTSA is weighing an investigation into claims that Tesla Robotaxis speed through active school zones, covering about 1,000 Model Y and Cybercab vehicles. Tesla’s approach is not doing the job it claims. If it fixes FSD’s speed limit problems, that’s good news for everyone sharing the road with it. What’s wrong is the years of messaging that Tesla’s approach didn’t need any of this. Musk sold FSD as a general solution that would work anywhere through vision alone, while dismissing Waymo’s maps and lidar as crutches. Now Tesla is adding the map, it already operates in geofences, and the AI still can’t reliably read a 30 km/h sign in Brussels. Tesla’s fleet is now a mapping fleet. Waymo built its maps and has been running a driverless service for years. Tesla is building its maps now and has pushed unsupervised FSD in customer cars to Q2 2027, and only inside its Robotaxi fleet. At what point do we admit that both companies are solving the same problem in very similar ways, and only one of them has lidar? We are a decade into Tesla’s self-driving effort and it is doing exactly what Musk used to say doesn’t count as a “true self-driving system”: geo-fenced areas using maps. If you’re buying an EV, powering it with home solar can cut your fuel costs to nearly zero. With electricity rates up almost 10% last year and expected to keep climbing, going solar is one of the best ways to protect yourself against rising costs. And with lease and PPA options, you can do it with zero upfront cost and start saving immediately. If you want to find the best deal, check out EnergySage. It’s a free service with

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