Intelligent AAC systems, which encode an understanding of language, cannot afford to ignore the problem of metaphor. Here we discuss the nature and promise of future AAC systems that handle some metaphorical statements. We describe the problems that metaphor creates for such systems, as well as a special class of metaphors called transparently-motivated metaphors, which are particularly important. Finally, we point to a possible solution to the problem.