Tesla Recalls Two-Thirds of 2016 Vehicles
The recall covers 53,000 Model S and Model X luxury electric vehicles built between February and October of 2016.

Photo of Tesla Model S courtesy of Tesla.

Photo of Tesla Model S courtesy of Tesla.
Tesla Motors is recalling 53,000 Model S and Model X cars globally because the electric parking brake in these electric vehicles might stick and fail to release, the automaker said.
The defective gear at fault, manufactured by a third-party supplier, may be present in vehicles built between February and October of 2016, according to Tesla. However, no accidents have been linked to the problem.
The issue doesn’t pose a safety concern on the road, but the problem might strand a driver eager to leave a garage or parking lot.
“If this gear were to break, the parking brake would continue to keep the car from moving, but the parking brake would then be stuck in place,” Tesla explained on its website. “There have been no reports of the parking brake system failing to hold a parked vehicle or failing to stop a vehicle in an emergency as a result of this condition, and this part has no impact on the car’s regular braking systems. We have also determined that only a very small percentage of gears in vehicles built during this period were manufactured improperly.”
Less than 5% of the recalled vehicles may have the defective gear, Tesla said.
The recall will begin immediately, but replacement parts for all affected vehicles aren't expected to become available until October. The repair will take less than 45 minutes.
More Safety

Managing Road Risk at Scale: Why Fleet Safety Needs a Data-Driven Framework
Insights from the FIA Road and Driver Safety Indexes reveal how to manage road risk on a larger scale.
Read More →
Stellantis Recalls 1.3 Million Jeep Vehicles Worldwide Over Fire Risk
Stellantis is recalling more than 1.3 million Jeep Wrangler and Gladiator models worldwide over a fire risk linked to power steering pump wiring.
Read More →
Coaching Is Not Training, Even When AI Is Doing It
AI-powered safety platforms can detect risky behaviors and deliver immediate feedback. But effective driver development still requires a foundation of training followed by coaching that reinforces those skills.
Read More →
How Emotions Behind the Wheel Can Affect Fleet Safety
During National Safety Month, fleets are encouraged to look beyond distracted driving and recognize how stress, fatigue, and emotional well-being influence driver performance and crash risk.
Read More →
Nominations Open for 2026 Fleet Safety Award
Nominations have officially opened for the 2026 Fleet Safety Award Winner.
Read More →
Turning Connected Vehicle Data Into Decisions That Matter
Fleet leaders have more data than ever, but turning that data into clear, actionable decisions remains a challenge. This white paper shows how leading organizations are using connected vehicle data to improve safety, reduce costs, and optimize fleet performance. Learn how to turn insight into action across your fleet.
Read More →
Cameras, Safety and Insurance: From Reactive Claims to Real-time Prevention
Commercial auto remains one of the most challenging and costly lines of coverage for fleet operators and insurers alike. Learn more about how to effectively address these issues from Onur Aksan, Enterprise Business Development Executive, Geotab.
Read More →
NAFA Fleet Safety Symposium to Collocate With 2026 Fleet Forward Conference
The daylong certificate program will precede the Fleet Forward Conference at the Gaylord National Harbor in Maryland.
Read More →
The Distractions You Can’t Turn Off: What Drivers Face Outside the Vehicle
Fleet drivers face constant visual, cognitive, and environmental interruptions the moment they hit the road. From roadside chaos to mental fatigue and digital overload, today’s biggest driving risks often come from outside the vehicle itself.
Read More →
FLASH Weather AI Launches First Deep-Learning Hail Prediction Model With High-Resolution Forecasting
FLASH Weather AI has launched a first-of-its-kind hail prediction model capable of forecasting hail size and arrival time at 1-kilometer resolution up to 55 minutes ahead, giving fleets and insurers critical time to prepare for severe storms.
Read More →
