Not really. It's true it would usually need more context than a single series dataset but you can predict broadly accurate-ish bandwidth usage trends just using simple statistical extrapolation, we've been doing that since the early 90s. If you give a model your subscriber numbers and usage data as time series it should be able to tell you quite accurately how much electricity|bandwidth|gas|road traffic levels| metro passenger levels at station Z... you'll be using at 4pm on January 4th 2026.