If you use the non-dependently typed parts of ATS it is no more verbose than most ML variants. If you use it without the GC then verbosity increased because you need to add calls to free memory. If you add proofs or dependent types then declaring those adds more. I've used it in moderately sized production programs and it's similar to using OCaml or other ML in terms of productivity. Once you're familiar with the language of course.
If I paraphrase what you said about Haskell it's true for ATS too:
"but one of the lovely things about ATS is that despite its reputation as a difficult language, once certain key concepts are tackled, it's relatively easy to program rapidly and create real world products (with a considerably higher assurance of correctness than most languages provide)."
The key, like any language, is learning the concepts. I think people assume ATS is more difficult than it is is because much of the documentation and examples for it use a verbose style and heavy proofs. A post I wrote a while back attempts to gently introduce ATS dependent types and you can see that the non-dependently typed examples are very similar to any other ML language:
http://bluishcoder.co.nz/2010/09/01/dependent-types-in-ats.h...