There's a lot of use cases that are not "commercially sensitive" that would require data center level privacy. E.g. a good percentage of academic research and experimentation, long running "boilerplate processing" for monitoring logs for e.g. a bird watching system or large scale web crawling where the individual website itself is mostly public. There are also use cases where the data itself is useless without other data to correlate. E.g. many log analytics use cases, if you are missing the main database data itself then the logs have zero value when intercepted. There are also use cases where you are doing general industrial level hotdog/not hotdog classification where unit economics is the most important and there's no real value to privacy e.g. on a factory floor (though sabotage is a bigger risk here).