If safety isnt required, most companies wont implement it voluntarily. Once something becomes safety relevant, you need a safety concept, failure rate calculations, defined safety functions, verification, etc. Even a relatively simple safety subsystem in a consumer controller can suddenly mean thousands of pages of documentation and years of development to reach the required ASIL or PL.

A big part of safety engineering is therefore reducing the number of safety relevant subsystems, because implementing and proving safety is extremely expensive and complex. At some point, safety simply becomes too difficult to implement and demonstrate properly. You must mathemtically proove the safety level with failures rates and assumed usage. You cant just have redundancy and a kill switch and call it safe.

Companies like OpenAI have already faced reputational damage around safety and data, while AI agents are increasingly capable of things like hacking. Yet there is still little sign of standardized regulation or mandatory safety assessment processes for LLM products. Thats why Im pessimistic that governments or consumers will force this anytime soon.