Writing definitely looks like the key use case. The New Yorker used GPT-3 to write the concluding sentence for one of their articles [0], and I believe The Economist did the same (but for a slightly greater length; though I couldn't find the source just now). It's actually a bit hard to come up with a good conclusion, so this could save some effort and trouble. Separately, GPT-3 can also likely be used for articles about sports, especially if the purpose is to track changes on a scoreboard and present the changes with an article written in prose, versus displayed in a table.
It's quite fair that marketing blogs may not be interesting to many readers, but they can be useful for SEO/boosting the search engine rankings of a website. So, a cash-strapped early or small company could save money from freelance copywriting to GPT-3 if they're not looking for anything fancy, and a lot of people work as freelance copywriters.
I agree that this may not displace anyone in the high-end/high quality segment of copywriting, but it could reduce demand for content farms in the future (i.e. any application where low-quality copywriting written on a short notice is in-demand).
[0] https://www.newyorker.com/magazine/2019/10/14/can-a-machine-...