Published • loading... • Updated
Tesla to Recall over 14,500 Model Y SUVs in US over Missing Weight ...
Tesla says 45% of the recalled Model Y vehicles may lack a required weight label, and owners will need an inspection and new sticker.
- On Thursday, the National Highway Traffic Safety Administration announced a recall of 14,575 Tesla Model Y vehicles produced between November 17, 2024, and April 21, 2026, due to missing weight certification labels.
- An automated vision-scanning tool at Tesla's Fremont, California, factory performed inconsistently for nearly six months. Tesla discovered the malfunction on April 17 after an internal audit found a vehicle missing the sticker.
- Tesla estimates 45 percent of the recalled vehicles lack the label, which displays maximum safe loaded weight and tire information. Overloading increases crash risks by affecting maneuverability and braking distance.
- Unlike most recalls, this issue cannot be fixed via software update, requiring physical inspection at Tesla service centers. Owners will receive formal notification on July 17 regarding repair steps.
- Filed under number SB-26-19-002, this recall joins separate actions earlier this month involving rearview camera glitches and Cybertruck wheel rotors. The campaign highlights Tesla's recent production oversight challenges.
Insights by Ground AI
11 Articles
11 Articles
Tesla recalls thousands of Model Ys at risk of... missing a sticker
The National Highway Traffic Safety Administration (NHTSA) has issued a recall for 14,575 Model Y vehicles over an issue that Tesla can't fix with its usual software update: a missing label. According to the recall report, Model Ys made between November 17th, 2024 and April 21st, 2026 could be missing a weight certification sticker due to a mishap with an "automated vision-scanning tool" in Tesla's Fremont, California factory. As Electrek report…
·United States
Read Full Article
Coverage Details
Total News Sources11
Leaning Left4Leaning Right0Center2Last UpdatedBias Distribution67% Left
Bias Distribution
- 67% of the sources lean Left
67% Left
L 67%
C 33%
Factuality
To view factuality data please Upgrade to Premium
