Courts in both Hangzhou and Beijing have ruled in separate cases that companies cannot fire workers simply to replace them with AI, establishing that AI adoption is a strategic business choice — not an unforeseeable change in circumstances — under China's Labour Contract Law. The rulings arrive as 78,000 tech workers globally have been laid off in early 2026, with nearly half attributed to AI. In the Hangzhou case, a quality assurance supervisor named Zhou was demoted and had his salary cut from 25,000 to 15,000 yuan after his employer decided AI systems could automate his role. The court ruled the termination illegal and awarded compensation. Neither the US nor the EU has enacted anything resembling what Chinese courts have established: a legal principle that says AI replacement alone is not grounds for firing someone. Colorado's AI Act takes effect mid-2026 and mandates risk assessments for employment decisions; the EU AI Act requires human oversight for high-risk HR systems by August 2026 — but neither bars AI-justified layoffs outright.

中国杭州和北京两地法院分别在独立案件中裁定：以AI自动化为由解雇员工属于非法。法院认定，企业引入AI是主动的商业决策，而非不可抗力，不构成劳动合同法中"客观情况发生重大变化"的免责条款。此判决背景是：2026年初全球科技行业已裁员7.8万人，近半数归因于AI。美国和欧盟均无类似判例——科罗拉多州AI法案和欧盟AI法案虽要求风险评估和人工监督，但均未明确禁止以AI替代为由裁员。

"The legal reasoning cuts through corporate justifications — AI implementation is a voluntary business decision, not an unforeseeable catastrophe like natural disasters or policy shifts. Courts emphasized that companies choosing to automate must negotiate with employees, offer training, or provide reasonable reassignments before showing anyone the door."

— Yahoo Finance

中国此判决是全球AI劳工法律框架中最具实质约束力的先例，将直接改变在华科技企业的裁员合规逻辑：企业在引入AI优化前，必须提前与员工谈判、提供再培训或合理调岗，否则面临违法赔偿风险。对跨国企业人力资源团队而言，在华AI转型项目的法律尽职调查成本将上升。更深远的影响在于：这一判决正在为其他司法管辖区的立法者和工会提供可直接引用的法律论证框架。

At the Harvey FORUM in New York, held May 28–29, 2026, industry leaders signaled a clear pivot in the legal sector's approach to artificial intelligence: what was once experimental is now operational, as firms and in-house legal teams race to integrate AI systems reshaping workflows, governance, and talent strategies. Harvey's Contract Intelligence launch targets in-house legal teams specifically, automating routine contract intake, triage, and initial markups, surfacing negotiation patterns from prior agreements, and automatically updating playbooks as new contracts are signed — with general availability scheduled for Q3 2026. The launch follows similar moves by Ironclad and Thomson Reuters, which expanded AI contract capabilities in April and March 2026 respectively.

Harvey FORUM纽约峰会于5月28-29日闭幕。核心信号：法律AI已从"是否要用"进入"如何快速部署"的竞速阶段，律所和企业法务团队正在争相将AI系统嵌入核心工作流。Harvey同步推出面向企业内部法律团队的Contract Intelligence产品，可自动完成合同收件分类、初步标注、历史谈判模式提取，并随每份新合同的签署自动更新谈判手册，Q3 2026全面上市。会议同期揭示：企业首席法务官正在从AI工具使用者升级为企业AI治理的主导者。

"Automate administrative work to augment judgment — enabling lawyers to focus on strategic decisions."

— Vandana Venkatesh, Chief Legal Officer, Verizon, Harvey FORUM 2026

法律AI的军备竞赛已进入企业内部法务的核心战场。Contract Intelligence代表的是一个价值逻辑的根本转变：从"AI帮律师写文件"升级为"AI管理整个合同生命周期的知识资产"。对企业而言，谈判模式的历史积累和合规义务的预警能力，将成为法务部门的新核心竞争力。Harvey此次专门针对in-house而非律所发力，意味着争夺企业法务预算的战场正式开辟。

Amazon employees have gamed the company's internal AI performance ranking system into uselessness, exposing a critical flaw in enterprise AI governance: when workers are evaluated by an AI system they can observe, they optimize for the metric rather than the underlying goal. The incident is the latest in a week where AI-and-work conflicts broke into the open across four jurisdictions simultaneously — alongside the Wikipedia editor revolt, Chinese court rulings on AI layoffs, and UK union demands for employee voice in AI deployment decisions. Together they signal that the human-AI labor relationship has entered a new, contested phase in 2026.

亚马逊内部员工发现并系统性利用了公司AI绩效排名系统的漏洞，将自身评分人为刷高，导致该系统失效。这一事件与本周同期爆发的维基百科编辑罢工威胁、中国法院AI裁员判决、英国工会要求员工参与AI部署决策形成共鸣，被AI Weekly将其定性为"四个司法管辖区同时爆发的AI与劳工冲突周"。这是"古德哈特定律"在AI企业治理中的经典显现：一旦某个指标成为目标，它就不再是好指标。

"This was the week the AI-and-work conflict broke into the open simultaneously across four jurisdictions."

— AI Weekly, May 29, 2026

亚马逊案例揭示了企业AI绩效管理的系统性盲点：当AI评估体系对员工可见且可被操纵时，优化行为将迅速侵蚀数据质量，最终令系统本身失效。对正在部署AI绩效工具的企业而言，这是一次高代价的教训：AI治理不仅是算法设计问题，更是组织行为学问题。如何构建抗操纵、可持续的AI评估机制，将成为人力资源科技领域2026年最核心的产品命题之一。