It's amazing how fast you go from thinking nobody could ever use that much of your service to discovering how many of your users are creatively abusing the service.
Accounts will start using your service 24/7 with their request rating coming at 95% of your rate limiter setting. They're accessing it from a diverse set of IPs. Depending on the type of service and privacy guarantees you might not be able to see exactly what they're doing, but it's clearly not the human usage pattern you intended.
At first you think you can absorb the outliers. Then they start multiplying. You suspect batches of accounts are actually other companies load-splitting their workload across several accounts to stay under your rate limits.
Then someone shows a chart of average profit or loss per user, and there's a giant island of these users deep into the loss end of the spectrum consuming dollar amounts approaching the theoretical maximum. So the policy changes. You lose those 'customers' while 90+% of your normal users are unaffected. The rest of the people might experience better performance, lower latencies, or other benefits because the service isn't being bombarded by requests all day long.
Basically every startup with high usage limits goes through this.