记者 辛圆 据新华社从人力资源社会保障部获悉，我国将实施稳岗扩容提质行动，推出重点行业就业支持举措，出台应对人工智能影响促就业文件。 人工智能发展对就业的替代效应局部正在显现，制造业流水线工人、文书助理、初级会计等职位受冲击影响较大，供需错配的结构性矛盾愈发凸显。 世界经济论坛《2025年未来就业报告》预测，到2030年，被替代的工作岗位数量将达9200万个。国际机器人联合会（IFR）最新发布的《2025年世界机器人 报告》显示，2024年全球新增工业机器人装机量达54.2万台，较10年前增长超一倍。 公丕明表示，一方面，相关法律法规建设滞后，这导致劳动者在社会保障及职业安全等方面的权益保障存在缺失；同时，算法管理的广泛应用也带来了工作 强度与绩效评估的公平性质疑，缺乏相应的法律规制；第二，就业风险的综合治理机制存在短板，对人工智能可能带来的岗位替代、技能过时等风险的监 测、评估、预警及快速响应机制尚未健全，跨部门协同的监管体系尚不完善，难以对结构性失业风险进行早期干预。 公丕明提到，接下来要激发人工智能技术的就业创造效应，探索促进就业的新增长方式和增长点。注重培育人工智能、机器人制造等新兴产业，通过加大投 ...

Core Viewpoint - The arbitration case highlights that AI replacement of jobs does not equate to lawful termination, providing a reference for resolving labor disputes in the era of artificial intelligence [2]. Group 1: Arbitration Case Summary - A case was reported where an employee, Liu, was dismissed after his company transitioned to AI-driven data collection, leading to the elimination of his position [2]. - The arbitration committee ruled that the company unlawfully terminated Liu's contract, emphasizing that employers should prioritize negotiating contract changes, offering skill training, or reallocating affected employees before considering termination [2]. - The ruling clarified that the replacement of jobs by AI does not constitute a significant change in objective circumstances, thus protecting workers' rights [2]. Group 2: Legal Framework and Implications - According to labor contract law, employers can only terminate contracts if there is a significant change in objective economic conditions that is beyond their control, such as natural disasters or legal changes [2]. - The arbitration indicated that while AI job replacement may seem inevitable, it falls within the realm of normal business decision-making and risk management, meaning companies should anticipate such changes and adjust their employment strategies accordingly [2]. Group 3: Employee Adaptation and Responsibilities - Employees are encouraged to enhance their skills to ensure lifelong employability in the face of AI advancements [4]. - The need for continuous learning and adaptation to technological changes is emphasized, as traditional job roles may no longer remain stable in the AI era [4].