Oh, I should be more clear: I only use local models to help me accelerate non-production work. I never use it for communications, because A) I want to improve my skills there, and B) I don't want my first (or any) outreach to another human to be a bot.

Mostly it's been an excellent way to translate vocabulary between products or technologies for me. When I'm working on something new (e.g., Hashicorp Packer) and lack the specific vocabulary, I may query Qwen or Ministral with what I want to do ("Build a Windows 11 image that executes scripts after startup but before sysprep"), then use its output as a starting point for what I actually want to accomplish. I've also tinkered with it at home for writing API integrations or parsing JSON with RegEx for Home Assistant uses, and found it very useful in low-risk environments.

Thus far, they don't consistently spit out functional code. I still have to do a back-and-forth to troubleshoot the output and make it secure and functional within my environments, and that's fine - it's how I learn, after all. When it comes to, say, SQL (which I understand conceptually, but not necessarily specifically), it's a slightly bigger crutch until I can start running on my own two feet.

Still cheaper than a proper consultant or SME, though, and for most enterprise workloads that's good (and cheap) enough once I've sanity checked it with a colleague or in a local dev/sandbox environment.

I interpreted his statement as LLMs being valuable for the actual marketing itself.