The AI Employment Debate Has a Winner. It Is Not the Country You Expected.
- Johan Steyn
- 7 hours ago
- 6 min read
Chinese courts have delivered what no Western government has: a legally enforceable right not to be fired by AI.
Video summary: https://youtu.be/2sLO1MMMbg0
Sign up for my Substack daily AI newsletter here.
See my AI Training course portfolio for corporate Business Leaders here.
Between January and April 2026, 78,557 technology workers were laid off globally, with nearly half of those cuts — 47.9 per cent — directly attributed to AI replacing human roles. Meta cut approximately 8,000 positions. Oracle eliminated between 20,000 and 30,000 employees. Block’s chief executive stated plainly that the reduction from 10,000 to 6,000 employees was not financially motivated but driven by growing AI capabilities. Research firm Challenger, Gray & Christmas confirmed that companies are systematically redirecting savings from headcount cuts toward AI infrastructure spending. In the United States, this is legal, unremarkable, and entirely within an employer’s discretion. In China, courts have now ruled twice that it is not. The gap between those two positions is not a technical legal distinction. It is a statement about who bears the cost when a company chooses to transform — and the country that has answered that question most clearly is not the one most people would have expected.
CONTEXT AND BACKGROUND
The first case was decided in Beijing. An employee surnamed Liu had worked as a data collector at a technology company since 2009, responsible for manual map data collection. In early 2024, the company switched entirely to AI-driven automated collection, cancelled its navigation products department, and terminated Liu’s contract, citing a major change in objective circumstances that made the contract unperformable. The Beijing Municipal Human Resources and Social Security Bureau published the case in December 2025 as one of its ten most significant labour arbitration decisions of the year. The arbitration panel ruled that the introduction of AI fell within the scope of the employer’s autonomous business decisions — technological innovation proactively implemented to adapt to market conditions. By citing AI replacement as grounds for dismissal, the panel found, the company had effectively shifted the risks of technological transformation onto the employee. The company sued to overturn the ruling. Both the trial court and the appeals court upheld it.
The second case was decided in Hangzhou. A quality assurance supervisor identified only as Zhou had joined a technology company in November 2022, earning 25,000 yuan per month to work with AI large language models, optimising outputs and filtering sensitive content. When the company determined that its AI systems had improved sufficiently to automate his role, it reassigned him to a lower-level position with a 40 per cent pay cut. Zhou refused. The company fired him. Zhou filed for arbitration, won, and the company appealed through two successive courts. The Hangzhou Intermediate People’s Court upheld the ruling, finding that the termination grounds did not fall under negative circumstances such as business downsizing or operational difficulties, nor did they meet the legal condition that made it impossible to continue the employment contract. The court was explicit: a company’s decision to adopt AI is a strategic business choice, not an unforeseeable change in objective circumstances, and therefore does not qualify as legal grounds for termination under China’s Labour Contract Law. As Zhejiang lawyer Wang Xuyang observed in response to the ruling: technological progress may be irreversible, but it cannot exist outside a legal framework.
INSIGHT AND ANALYSIS
The legal reasoning at the heart of both cases turns on Article 40 of China’s Labour Contract Law, which permits termination when objective circumstances materially change and render a contract unperformable. The provision is typically applied to events genuinely beyond an employer’s control: force majeure, government-mandated relocations, and regulatory suspensions. Chinese courts have now determined, in two separate jurisdictions, that AI adoption does not meet this standard. The technology was not imposed on the companies. It was chosen by them. The courts drew a precise distinction between an external shock that makes a job impossible and an internal decision that makes a job redundant. The first is a legal basis for termination. The second is not.
The contrast with Western legal frameworks could not be more pronounced. The United States operates on an at-will employment basis in every state except Montana — employers can terminate workers for any reason not specifically prohibited by statute, and being replaced by AI is not a prohibited reason. A Senate bill has been introduced requiring quarterly reporting of AI-driven layoffs, but it has not passed and is not expected to in the current Congress. The European Union’s AI Act classifies AI used in hiring, performance evaluation, and workplace decisions as high-risk, subject to human oversight and worker notification requirements taking full effect in August 2026. But the AI Act does not prohibit AI-driven dismissals — it regulates how AI is used in employment decisions, not whether a company can eliminate positions because of AI. The European Trade Union Confederation has called for stronger protections. Legal scholars have proposed an AI Social Compact combining employment support, training, and social protections. None of it has been enacted.
I have previously written about how AI has fundamentally changed what jobs are for — and how most organisations have not updated their frameworks to reflect that reality. The Chinese rulings extend that argument into legal territory: if a company’s strategic choice to adopt AI transforms what a job requires, the obligation to manage that transformation — fairly, at comparable terms, and without simply removing the person who held the role — belongs to the company, not the worker. The courts have not said that jobs must remain unchanged. They have said that the cost of changing them cannot be unilaterally transferred to the employee.
The early evidence from the companies that have cut deepest also challenges the assumption that AI-driven headcount reduction is straightforwardly rational. Klarna fired 700 customer service workers and replaced them with an AI chatbot in 2024, only to begin rehiring human agents in 2026 after repeat contacts jumped 25 per cent and customer satisfaction deteriorated on complex interactions. The CEO admitted publicly that the strategy had failed. The pattern across early adopters is that AI replaces tasks more effectively than it replaces jobs — and that the human work remaining after automation, the judgment, the escalation, the contextual understanding the model cannot hold, is frequently more valuable than organisations estimated when they decided to automate.
IMPLICATIONS
For global business leaders, the Chinese rulings introduce a governance question that most AI business cases have not yet addressed: who is accountable when the AI transformation programme depends on headcount reduction that a court subsequently finds unlawful? In markets where labour law imposes substantive fairness requirements — including South Africa, where the Labour Relations Act requires that retrenchments be for a fair reason and that alternatives be genuinely explored — the Chinese legal reasoning is not as alien as it might initially appear. A court applying South African law to an AI-driven dismissal would face strikingly similar questions: was the adoption of AI truly an unforeseeable change in circumstances? Were alternatives to dismissal genuinely considered? Was the affected employee offered a reasonable reassignment at comparable terms? South African boards approving AI transformation programmes that carry implicit workforce reduction assumptions may be carrying more legal exposure than their current governance processes have identified.
More broadly, the Chinese framework forces a specific organisational behaviour that the efficiency narrative of AI adoption has consistently obscured: if you automate a role, you must find another role for the person who held it at comparable terms — or pay meaningful compensation. That is expensive. It changes the financial logic of AI business cases that depend on labour cost savings to justify their return on investment. And it distributes the cost of technological transformation in a way that most Western AI strategies have not accounted for — placing it on the organisations that chose to transform rather than the workers who had no say in that choice.
CLOSING TAKEAWAY
China has no interest in slowing AI adoption. Its core AI industry exceeded 1.2 trillion yuan in 2025. It is narrowing the performance gap with American AI labs while spending a fraction of the compute investment. By 2030, the penetration rate of next-generation intelligent terminals and agents in China is expected to exceed 90 per cent. What China has decided — through its courts, and now through its government work report, which calls for improving measures to promote employment in response to AI development — is that the economic benefits of that adoption cannot arrive solely at the expense of the workers whose roles it displaces. The West has produced regulations, proposals, consultations, and high-risk classifications. China has produced a verdict.
Between January and April 2026, 78,557 technology workers discovered which of those actually matters when you lose your job on a Monday morning because an AI can now do what you were hired to do. The debate about who should protect them is over in China. Everywhere else, it has barely begun.
Author Bio: Johan Steyn is a prominent AI thought leader, speaker, and author with a deep understanding of artificial intelligence’s impact on business and society. He is passionate about ethical AI development and its role in shaping a better future. Find out more about Johan’s work at https://www.aiforbusiness.net