Humanoid Colleagues and the Rheumatology Workforce: Preparing for a New Era

Rheumatology faces sustained workforce strain, widening access gaps, and escalating administrative burden. Fellowship expansion and integration of advanced practice clinicians remain essential, but existing strategies alone are unlikely to meet projected demand. Meanwhile, artificial intelligence (AI) is increasingly embedded in clinical medicine, and physically embodied, general-purpose humanoid robots have begun entering the industrial workforce. This review presents a profession-centered framework for how such humanoid systems could be trained and governed within rheumatology should they eventually enter clinical care. It is an exercise in anticipatory governance: designing oversight before deployment pressure arrives. We conceptualize humanoid systems as supervised trainee analogs within existing fellowship structures rather than as autonomous replacements for clinicians, advancing through four stages: observation and simulation, competency-based assessment, supervised patient contact, and parallel evaluation alongside fellows. Because clinically capable humanoid systems do not yet exist, each stage is paired with technology-readiness and regulatory trigger milestones, verified before activation. Oversight runs on two tracks: US Food and Drug Administration regulation governs the device, whereas fellowship-anchored training and privileging govern its local use. Proposed educational benefits, such as sharper clinical reasoning from teaching a nonhuman trainee, are framed as testable hypotheses rather than established effects. A central boundary is fixed: these systems never graduate to independent practice, and final diagnostic and therapeutic authority remains with the supervising rheumatologist. Without deliberate engagement, AI integration into rheumatology may be shaped by commercial and regulatory forces alone. Proactive stewardship, including honest acknowledgment of uncertainty, can help ensure technological change strengthens patient trust, professional standards, and workforce sustainability.