I agree there is a moving goalpost for what counts as good enough to call "AI". But with the recent revolution in machine learning the goalpost kind of went backwards. The successes in machine learning problems have tended to come from "adjacent" fields like pattern recognition, information retrieval, plain old statistics, etc. Meanwhile the AI researchers were pursuing more ambitious directions that didn't pan out. Then AI researchers basically "annexed" these lower level methods that worked.