I'm less convinced. I think as engineers/software-folks we tend to look at "something being built" as the end-result (since that's what we work towards).

Big companies though, are more concerned with value and risk. Say some data model provides $5 million in value, hiring a data person to check "everything is kosha", even if in theory someone could vibe code it by prompting an LLM, is a pretty good investment if it derisks the process.