The old assessment proxy is breaking down. As AI increasingly enhances how people present themselves and perform work, traditional signals of competence no longer reliably indicate underlying capability. This session, based on the Opening Keynote, builds directly on prior research on "skillfishing" and explores what comes next for assessment professionals. Attendees will examine practical models for assessing human–AI workflows, adapting validation when performance criteria continuously evolve, integrating digital footprints and digital twins into evidence systems, and identifying emerging constructs for AI-enabled work. Participants will leave with a practical framework for redesigning assessment systems for the next decade.