I'm grateful because I thought code LLMs only sped up the "RTFM" part, but it made me find those libs so I didn't have to Google around for (and sometimes it's hard to guess if they're the right tool for the job, and they might be behind in SEO).
1. Being the "senior developer" who spend their whole career working with a technology you're very junior at. No matter what you do and how long your programming career is, you're inevitably going to run into one of these sooner or later. Whether it's build scripts, frontend code, interfacing with third-party APIs or something else entirely, you aren't an expert at every technology you work with.
2. Writing the "boring" parts of your program, and every program has some of these. If you're writing a service to fooize a bar really efficiently, Copilot won't help you with the core bar fooization algorithm, but will make you a lot faster at coding up user authentication, rate limiting for different plans, billing in whatever obscure payment method your country uses etc.
3. Telling you what to even Google for. This is where raw Chat GPT comes into play, not Copilot. Let's say you need a sorting algorithm that preserves the order of equal elements from the original list. This is called stable sorting, and Googling for stable sorting is a good way to find what you're looking for, but Chat GPT is usually a better way to tell you what it's called based on the problem description.
Neither is the LLM.