I work at what a company that's not particularly large. Our original API is a Django monolith that serves about 1000req/s.
While you could argue Python isn't the bottleneck, Django often is. I hear the same feedback from colleagues that work in Rails. Not only do we run into issues with latency per request but we have to run a significant number of Kubernetes pods to serve this workload. With c#, golang, java or a similar language we would only require a handful of pods and drastically cut our compute costs.
Even for web workloads, these slow interpreted languages and their developer experience optimized frameworks absolutely do become a bottleneck and claiming they don't (or that you need to be at Google/Facebook scale before they do) is false.
Everything is a tradeoff but the way I think of it: speed is a feature.
You wouldn't spend so much of your time reading and writing about ruby if you didn't care about it. You'd move to things you do care about.
Ruby, and scripting languages in general, are fast enough for the jobs they get used for. When they're not they get replaced.
For every engineer insisting Ruby is fast enough in a situation where it is not, there are 1000s in environments where Ruby absolutely is more than sufficient, insisting it’s too slow.