TLDR:China courts ruled AI adoption is a voluntary business decision, not grounds for legal termination of workers.Over 61,000 workers lost jobs to AI-related cuts globally in just the first four months of 2026 alone.Amazon, Block, and Meta are among firms cutting headcount to redirect savings toward AI infrastructure spending.Economists warn of an AI Layoff Trap where mass job cuts reduce consumer demand, threatening the broader economy.China has taken a legal stance against AI-driven job displacement, with courts ruling that companies cannot fire workers simply because artificial intelligence can now perform their roles. The rulings come as global AI-related layoffs accelerate sharply, raising concerns about the broader economic consequences of replacing human workers with automated systems across major industries.Chinese Courts Rule Against AI Replacement TerminationsAs Bull Theory reported, the Hangzhou Intermediate People’s Court recently ruled in favor of a tech employee whose salary was cut from 25,000 yuan to 15,000 yuan after AI took over his duties. The court found that the subsequent termination, after he refused the pay cut, constituted illegal dismissal. A Beijing court reached the same verdict in a separate case involving a map data collector whose entire role was automated away. CHINA JUST MADE IT ILLEGAL TO FIRE EMPLOYEES AND REPLACE THEM WITH AI. The rest of the world had cut 1.5 Million+ jobs since 2020 doing exactly that.The Hangzhou Intermediate People's Court ruled that a tech company's decision to cut an employee's salary from 25,000 yuan… pic.twitter.com/fhbkw0Ajca— Bull Theory (@BullTheoryio) May 1, 2026Both courts established a clear legal principle: adopting AI is a voluntary business decision, not an uncontrollable external event. Therefore, companies cannot transfer the financial burden of that choice onto individual employees. The rulings require firms to retrain workers, reassign them to suitable roles, or help them build new skills instead.This legal framework forces companies to treat automation as a management responsibility rather than a cost-cutting shortcut. It protects consumer spending by ensuring workers continue receiving fair wages even as technology evolves. China’s approach draws a direct line between job security and economic stability.The courts’ position reflects a broader concern that unchecked AI adoption could destabilize labor markets. By requiring retraining and reassignment, the rulings push companies to invest in their workforce rather than simply eliminate it.AI Layoffs Accelerate Globally While Economists Warn of Ghost GDPOver 61,000 workers have already lost their jobs to AI-related cuts in just the first four months of 2026. Between January and April alone, 78,557 tech workers were laid off, with 47.9% of those cuts directly tied to AI replacing human roles. Amazon, Block, Atlassian, and Meta are among the companies driving these numbers.Block CEO Jack Dorsey stated plainly that the workforce reduction from 10,000 to 6,000 employees was not financially motivated but driven by growing AI capabilities. Companies are also redirecting savings from headcount cuts toward AI infrastructure spending. Research firm Challenger, Gray & Christmas confirmed that firms are shifting budgets toward AI at the direct expense of jobs.Economists have flagged this pattern as a structural risk. A University of Pennsylvania and Boston University study described an “AI Layoff Trap,” where automation reduces consumer spending because workers are also customers. At its extreme, the study warned, firms could automate toward high productivity and zero demand simultaneously.White-collar workers represent 50% of US employment and account for roughly 75% of discretionary consumer spending. An MIT simulation found AI could replace nearly 12% of the US workforce, erasing approximately $1.2 trillion in annual salaries. When those wages disappear, the ripple effects reach housing, retail, travel, and the broader consumer economy.The post China Makes AI-Driven Layoffs Illegal as Global Job Cuts Hit 61,000 in 2026 appeared first on Blockonomi.