Tesla has long emphasized that large-scale real-world data is central to improving its neural network-based approach to autonomy. Each mile driven with FSD (Supervised) engaged contributes additional edge cases and scenario training for the system.<\/p>\n\n\n\n The milestone also brings Tesla closer to a benchmark<\/a> previously outlined by CEO Elon Musk. Musk has stated that roughly 10 billion miles of training data<\/a> may be needed to achieve safe unsupervised self-driving at scale, citing the \u201clong tail\u201d of rare but complex driving situations that must be learned through experience.<\/p>\n\n\n\n The growth curve of FSD Supervised\u2019s cumulative miles<\/a> over the past five years has been notable.\u00a0<\/p>\n\n\n\n As noted in data shared by Tesla watcher Sawyer Merritt<\/a>, annual FSD (Supervised) miles have increased from roughly 6 million in 2021 to 80 million in 2022, 670 million in 2023, 2.25 billion in 2024, and 4.25 billion in 2025. In just the first 50 days of 2026, Tesla owners logged another 1 billion miles.<\/p>\n\n\n\n At the current pace, the fleet is trending towards hitting about 10 billion FSD Supervised miles<\/a> this year. The increase has been driven by Tesla\u2019s growing vehicle fleet, periodic free trials, and expanding Robotaxi operations, among others.<\/p>\n\n\n\n With the fleet now past 8.4 billion cumulative miles, Tesla\u2019s supervised system is approaching that threshold, even as regulatory approval for fully unsupervised deployment remains subject to further validation and oversight.<\/p>\n\n\n\n\n![\"\"](\"https:\/\/www.teslarati.com\/wp-content\/uploads\/2026\/02\/fsd-8.4-billion-1024x916.jpg\")