I think it's as much a skill as "typing" or "using email" or "writing 6-pagers". It's low level and likely nobody is getting hired just to do this. But a copywr

I think it's as much a skill as "typing" or "using email" or "writing 6-pagers". It's low level and likely nobody is getting hired just to do this. But a copywriter who knows how to do it is valuable, far more than someone who knows prompt engineering and tries to apply it to copywriting. Domain expertise is important. Most of the really bad "soulless" outputs people get stems from inadequate communication. "write a poem about a dog". Are you surprised that it writes a generic fluffy dog poem? What about dogs do you want to say? "Write a poem comparing loyal servants of tyrants to dogs, in a positive manner, but with a darker undertone." Now that gives you a much more interesting output. As AI approaches reasoning levels similar to GPT-4, it'll probably be much less beneficial to know how to talk to it. The AI ends up just needing enough context to figure out what you really want. It makes assumptions and asks for your input on those assumptions. But chat models are a beginner's level, designed to handhold people to learning how to use AI. The completion models like OpenAI's `davinci` (not `text-davinci-`) are a lot more interesting, creative, and unhinged, but also harder to control. These require a higher level of skill. There's also being aware of its limitations. How to get it to do math properly. How to prompt hack and prevent prompt hacking. How to steer it towards a certain tone. How to pass it a table format it understands. How to get to write things past 2000 words. Being aware of security holes in code written by AI with certain prompts.