One of the reasons automated theorem proving systems haven't caught up with humans yet might be that they have no intuition about resource exploration vs exploitation and other evolved heuristics, due to our physical limitations.
Certain programming languages restrict programs to non-turing complete and provably finite execution semantics, which allows one to reason about the number of steps/instructions it uses in the worst case. Even in systems which are not provably finite in all cases, some programs can still be proven to halt.
Via the Curry-Howard-Correspondence, the same possibilities and limitations seem to exist with proofs. So is it possible to create non-exhaustive proofs about resource requirements of mathematical proofs?
E.g. "Fermat's last theorem can not be proved in less than 1 million deduction steps from the ZFC axioms and inference rules"
Sure it is. Run a theorem prover, starting from ZFC axioms and inference rules, and produce all proofs having no more than 1 million steps. Sift through the output to see if Fermat's Last Theorem ever came up as one of the steps proved. If so, it was proved. If not, it was not proved.