As a former automotive engineer, I think this is more of an issue with Tesla trying tooo hard to be the disruptor at any cost, rather than the general automotive industry which is more traditional and conservative. In the embedded SW I was writing for a big German brand, we had 3 levels of redundancy in software and 2 in hardware for critical stuff. Nothing there was penny pinched, rushed or half-assed.

I doubt Elon would have hired a bunch of grumpy old gray-beards with avionics experience to "hold back innovation" and tell him they know better, when he can just keep putting young motivated new-grads who drank his cool-aid in charge to "move fast and break things" and say yes to whatever fantasy features Elon cooks up.

Another thing with Tesla seems to be the over-use of ML (implemented poorly) for basic problems (like self-parking) that the car industry has solved for over 10 years by using basic PID controllers and Kalman filters.

In fairness, when you have a hammer everything looks like a nail, so this "throw ML at every tiny problem" addiction is not unique to Tesla but seems to plague every start-up who wants to seem cool and attract young talent and gullible investors.

My 0.02$