He is talking about work that involves a deep understanding of the domain and data, on smaller datasets that require a lot more framing to make sense of.

I understand the author to be saying that "small data AI" activities as a fraction of all AI work in the US is lower, because in the US it is so much easier to make more money doing big-data work instead.