As cars pack in more AI-driven features, the sensors and computers behind safety-critical systems are being pushed harder, and engineers are rethinking how long those components can be trusted before they degrade. A safety-critical system is one whose failure can cause harm, so its reliability over years of real use matters as much as its peak capability.
The tension is that adding intelligence adds complexity, and complexity is harder to guarantee over a vehicle's decade-long life.
What it means: the same principle applies to any business system that people depend on. New AI features are attractive, but the question that protects you is not "how clever is it" but "how does it behave when a part wears out or fails." Reliability over time, not peak capability, is what keeps trust intact.