AI refers to artificial intelligence or the artificial capacity for learning, reasoning and understanding. Current robots do not have anything that could even remotely be considered artificial intelligence.
Er, no. "Artificial intelligence," like "workforce," is a term that has changed over the years; the long-term tendency seems to be that it refers to anything that we can't get computers to do
right now, but as soon as we develop the technology, it ceases to be AI.
For example, when the term was coined in the early 1950s (by John McCarthy), one of the big tasks that AI researchers were studying was so-called "automatic programming"; the task of generating machine-understandable code from a human-readable framework. Today we call programs like that "assemblers" and no one uses them any more, because AI researchers moved on to the next step, trying to develop "automatic programming" systems that would "understand"
high-level descriptions of tasks and produce machine code to carry out the task. Today we call those "compilers."
Back in the early 70s, the idea of a program that would automatically typeset a document was AI of the highest order; by the 80s, DTP was a well-established field. In the 1970's, we developed dictionary-based spelling checkers, but "AI" was still considered necessary to build context-sensitive checkers or to build grammar checkers, both of which are commonly available today. In the 1980s we were building systems to read handwritten ZIP codes using "AI" techniques (neural networks were big for that, IIRC), and of course that's a commonplace today. And of course, today Google will apply AI techniques to read documents, determine their relevance, snd summarize them for you.
So, just as you don't get to shift the goalpost regarding "workforce," you don't get to shift it regarding "AI" either. What we have today was funded
as AI research over the past fifty years to get us to where we are today.