FSD Nears 7 Billion Miles, Bolstering AI Training
Tesla's Full Self-Driving (Supervised) fleet has accumulated nearly 7 billion total miles driven as of December 30, 2025, according to data published by the company. This milestone highlights the massive scale of real-world data the automaker is leveraging to advance its autonomous driving technology. Crucially, more than 2.5 billion of these miles were driven on city streets, an environment that provides the most complex and valuable training scenarios for the system's AI.
This continuous data influx from its global fleet is a core component of Tesla's strategy. The sheer volume of driving information enables the company to rapidly iterate on its software, deploying updates designed to help vehicles operate with the nuanced judgment of an experienced human driver. This data-driven feedback loop is considered a key competitive advantage in the race to develop fully autonomous vehicles.
Technology Deployed in German Public Shuttle Service
Demonstrating the practical application of its technology, Tesla recently supported the launch of Europe's first public shuttle service using FSD (Supervised). The service, operating in the rural Eifelkreis Bitburg-Prüm region of Germany, showcases how the system can be used to enhance mobility and public transportation in areas with limited options. This move from pure data collection to real-world utility marks a significant step in the commercialization of Tesla's autonomous driving efforts and its potential to address transportation gaps.
Analysts Rate TSLA a 'Hold' Despite Milestone
Despite the significant technological milestone, market analysts currently assign Tesla (TSLA) a Zacks Rank of #3, signifying a 'Hold' recommendation. This contrasts with more bullish outlooks for some competitors in the automotive sector. For instance, General Motors (GM), OPENLANE (OPLN), and REV Group (REVG) all currently sport a Zacks Rank of #1, or 'Strong Buy'. This divergence suggests that while investors acknowledge Tesla's long-term technological leadership, other market factors or valuation concerns may be tempering near-term expectations for the stock.
