The resilience score (0–10) captures a role's capacity to adapt and remain relevant as AI automation advances. Unlike the risk score — which measures current exposure — the resilience score measures the role's structural ability to evolve.
High resilience (8–10) typically indicates roles with a rich mix of cognitive complexity, social skills, and physical presence requirements. These roles can absorb AI as a productivity tool rather than a replacement threat. They also tend to have clear upskilling pathways.
Medium resilience (4–7) describes roles where significant AI augmentation is occurring, but practitioners who actively adopt AI tools and shift toward higher-judgment work can remain competitive. The window for adaptation is open but not unlimited.
Low resilience (0–3) flags roles where the task structure is fundamentally routine, narrow, and well-defined — exactly the conditions where AI systems perform best. Even aggressive upskilling may not preserve the role's core economic value if the underlying tasks are commoditized by automation.
Resilience is higher for roles that require: contextual judgment across novel situations, emotional intelligence and interpersonal trust, physical dexterity in unpredictable environments, accountability and legal responsibility, and creative synthesis of ambiguous goals.