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.

翻译：人工智能正在替代任务、介入高风险决策，并以合成内容充斥沟通渠道，从而动摇工作、身份认同与社会信任。本文主张，决定性的应对策略在于人类的韧性。我们将韧性定义为三个层面：心理层面，包括情绪调节、意义建构与认知灵活性；社会层面，包括信任、社会资本与协同响应；组织层面，包括心理安全感、反馈机制与优雅降级机制。我们综合早期证据表明，这些能力能够缓解个体压力、通过社会支持减少职业倦怠，并通过团队规范与风险响应式治理降低AI介入工作流程中的隐性失败。研究同时表明，韧性可通过培训加以培养，此类培训是对结构性保障措施的补充而非替代。通过将AI讨论聚焦于可操作的人类韧性框架，本文为政策制定者、教育者与实践者提供了维护人类能动性、引导负责任技术采纳的实践视角。