Elon Musk’s latest statements, Teslaneeds for an unsupervised and safe driving experience. training datarevealed the amount. According to new data, approximately 16 billion kilometers of training dataIt is stated that it is necessary; This figure shows a level far beyond past targets. robotaxiThe question of whether the target will be reached by 2027 has been brought to the agenda again with this update.
When we examine it from a different perspective, in 2022 10 billion kilometersThe opinion that it is sufficient for the global approval process has reached a higher goal due to the complexity of real-world driving. As of January 2026 Tesla‘s total driving data is approx. 11.5 billion kilometerswas recorded as. To reach the safe driving threshold, approximately 4.5 billion kilometersIt is stated that additional data is needed.
At the current data collection rate, we can reach this target as soon as possible. July 2026It is estimated that it can be reached on a date like . This explanation also explains why the promise to start unsupervised robotaxis in Austin by the end of 2025 has been postponed. According to December 2025 data, TeslaThe amount of data held by is approximately 11.2 billion kilometerslevel, indicating that security thresholds are below the level currently needed.
Even when all the data is processed and ready for use, it does not mean that robotaxis will be on the road immediately. With this huge data, artificial intelligence training must be completed, comprehensive verification tests must be carried out, and complex legal approval processes must be managed. Analysts, the applicability of all these processes in the real world 2027 or laterstates that it points to a period.
Meanwhile, NVIDIA announced at CES 2026 Alpamayoopen source named autonomous driving platform, Mercedes-Benz CLAIt further increases competition with the introduction of its models in the first quarter of 2026. Ashok Elluswamy emphasizes that rare situations encountered while driving put a strain on the systems. Authorities say autonomous driving statistically safeHe reiterates that even the most extreme scenarios must be analyzed successfully in order to be considered.
