Embody What AI Can't Do

Humans should reorient training toward physical‑world and situational skills that large language models cannot perform (for now). Graduate students and faculty ought to prioritize learning and demonstrating how their embodied presence, fieldwork, and real‑world interventions amplify AI outputs rather than compete on purely intellectual tasks. — This reframes career and curriculum advice across disciplines: success in an AI‑rich economy will depend on identifying and marketing human activities that materially complement models.