What was interesting is that it was clear that search engines have trained a lot of people to speak 'search engine' rather than stick with English. Instead of "When is Pizza hut open?" you would see a query "Pizza Hut hours". That works for a search engine because you have presented it with a series of non stopword terms in priority order.
It reminded me of the constraint based naming papers that came out of MIT in the late 80's / early 90's. It also suggested to me ways to take dictated speech and reformat it into a search engine query. There is probably a couple of good academic papers in that data somewhere.
That experience suggests to me that what you are proposing (a pidgin type language for AI) is a very likely possibility.
One of the bits that Jimmy Fallon does on the Tonight Show is an interviewer who asks people a question but uses nonsense words that sound "right" in the question. The most recent example was changing the question
"Do you think you will see Avengers: Infinity War"
With things like "Do you think you will see Avengers something I swear." Similar sounds and people have already jumped to the question with enough context that they always answer as if he had said "Infinity War." How will conversational systems deal with that, I have no idea.