This is why I argue that the impact of LLMs is in the tail. Its all the small to midsize shops that want something done, but don't have money to hire a programmer. Its small tasks, like pushing data around, writing a quick interface to help day to day jobs in niche jobs and technical problems. Its the ability to quickly generate prototype logos and scripts for small scale ad campaigns, for solving Nancy's Excel issue, etc. Big companies have big software and code stacks with tons of dependencies. Small shops have little project needs that solve significant issues facing their operations, but will unlikely become large enough that things like scaling issues, maintenance, integration, are ever a problem at all. Its a tail, but its long in small to midsize businesses. In research labs, which I have personal experience, AI is rapidly making feasible more ambitious projects, quicker timelines, and better code, generally.