AI, Coordination, and the Crisis of Intelligibility: Beyond Replacement and Diminishing Returns

Public discussion of artificial intelligence is often organized by two dominant frames. One asks whether AI will replace human thought or labor in some decisive sense. The other asks whether current systems are approaching diminishing returns in capability, productivity, or economic value. Both frames capture something real, but each risks missing a more structural development. This paper argues that the deeper problem may not be replacement, nor simply plateau, but a widening gap between coordination capacity and human intelligibility. AI increasingly functions as a coordination technology, helping make complex domains more tractable, portable, and operable. But the same processes may also make the systems in which humans act harder to survey, contest, and correct from any bounded standpoint within them. The aim of the paper is not to provide a complete theory of AI or civilizational decline. It is to make visible a macro-structural tendency: modern systems may be becoming more operable than intelligible, and AI may be accelerating that divergence.