$TSLA (+0.87%) is pursuing a radical approach to autonomous driving: Vision-only - i.e. without LiDAR or radar, using only cameras and AI. And the amazing thing is: It works.
But why will Tesla be hard to catch up with for years to come?
đ Tesla's data lead is not just big - it is growing exponentially
Thanks to millions of vehicles worldwide, Tesla collects huge amounts of real image and driving data every day, which flows directly back into AI training. No other player - neither Waymo, nor Apple, nor XPeng - can even come close to this amount of real, uncensored edge cases.
đ This leads to a flywheel effect:
More data â better model â more user trust â more usage â even more
Tesla doesn't just have a head start - it has an exponential curve that excludes others.
If you want to overtake Tesla in the vision-only stack, you need:
- Millions of vehicles worldwide,
- a scalable end-to-end AI,
- an OTA infrastructure,
- and above all: time. A lot of time.
đ Nobody will be able to do this before 2030.
Compared to LiDAR 12 k USD per vehicle, this system will be worth 400 USD imo.
I would now neglect safety concerns, as national authorities are actually obliged to approve anything that drives 1.x times safer than a human. Tesla drives 8x safer. In this scenario, therefore, it is not the safer tech - i.e. LiDAR - that wins, but the 20x cheaper one.
What do you think?