Things that result in fewer resources going into AI specifically would result in fewer UFAI resources without reducing overall economic growth, but it needs to be kept in mind that some such research occurs in financial firms pushing trading algorithms, and a lot more in Google, not just in places like universities.

To the extent that industry researchers publish less than academia (this seems particularly likely in financial firms, and to a lesser degree at Google), a hypothetical complete shutdown of academic AI research should reduce uFAI's parallelization advantage by 2+ orders of magnitude, though (presumably, the largest industrial uFAI teams are much smaller than the entire academic AI research community). It seems that reducing academic funding for AI only somewhat should translate pretty well into less parallel uFAI development as well.