AI is displacing tasks, mediating high-stakes decisions, and flooding communication with synthetic content, unsettling work, identity, and social trust. We argue that the decisive human countermeasure is resilience. We define resilience across three layers: psychological, including emotion regulation, meaning-making, cognitive flexibility; social, including trust, social capital, coordinated response; organizational, including psychological safety, feedback mechanisms, and graceful degradation. We synthesize early evidence that these capacities buffer individual strain, reduce burnout through social support, and lower silent failure in AI-mediated workflows through team norms and risk-responsive governance. We also show that resilience can be cultivated through training that complements rather than substitutes for structural safeguards. By reframing the AI debate around actionable human resilience, this article offers policymakers, educators, and operators a practical lens to preserve human agency and steer responsible adoption.

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