Maps sensemaking tools along two dimensions: which stage of the interpretive process a tool addresses, and where its interpretive intelligence sits. Underneath is a distinction between inductive work, which extracts patterns at scale, and abductive work, which builds a good-enough explanation of incomplete and ambiguous data. AI is strong at the first; at the second it can generate candidate explanations but cannot reliably or accountably judge which one fits. Across five domains of practice the imbalance is systematic - signal detection and translation are densely served, frame construction and interpretive integration are not - and the paper argues that the arrival of these tools is itself changing what gets captured.