Here's a generally wild collision happening right now. Chinese courts have ruled in two separate cases that companies cannot fire workers simply because AI can now do their job. The legal principle they established is as follows: AI adoption is a strategic business choice, not an unforeseeable change in circumstances. So, companies cannot shift the risk of technological change onto employees. Meanwhile, in the United States, between 78,000 and 92,000 tech workers were laid off in the first 4 months of 2026, with nearly half of those cuts explicitly attributed to AI. And there is zero equivalent legal protection. China is protecting workers during the AI transition. The USA doesn't appear to be doing the same thing. Why is that? I'm L, I have a PhD in computer science, and I analyze AI developments to understand what is actually happening beneath all of the hype. And when you look at the actual court rulings, the actual legal framework, and what's happening in Silicon Valley at the exact same moment, the contrast is generally extraordinary.

Let me show you what I mean. Start with the case that triggered all of this. A tech worker in Hangzhou, identified only as Joe, worked as a quality assurance supervisor at an AI company. His job was basically verifying AI-generated answers, optimizing outputs from large language models. He earned about 25,000 yuan per month, which is about 3,600 US dollars. In 2024, the company decided its AI systems had improved enough that Joe's role could be automated. They offered him a different position with a salary cut from 25,000 yuan to 15,000 yuan, which is a 40% pay cut. Joe refused. The company fired him. Just stop and think about that for a second. Joe's job was checking the AI. The AI got good enough that it didn't need somebody checking it anymore. So, the AI replaced the person whose job was verifying the AI. It's recursive job displacement. Joe filed for arbitration. The arbitration panel ruled the dismissal unlawful. The company appealed to a district court, lost again, appealed to the Hangzhou Intermediate People's Court, lost again. The court's reasoning was this, I'm quoting, "The termination grounds cited by the company 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." So, they're basically saying, "Just because you bought an AI that can do somebody's job, it doesn't mean you get to fire them and call it force majeure."

There is a second case that establishes the very same principle. A worker named Liu had been employed since 2009 as a map data collector, which is basically manual data entry. In early 2024, his company switched to AI-powered data collection, eliminated his entire division, and fired him. Liu won his arbitration case in Beijing on the exact same grounds. The legal question at the center of both of these cases is essentially does AI-driven job replacement count as major change in the objective circumstances under China's labor contract law? China's labor law basically defines objective major changes as uncontrollable, unpredictable events such as natural disasters, government policy causing ruin, things generally beyond a company's control, not business decisions. And the court said the company's adoption of AI was a voluntary move to stay competitive. By citing AI replacement as a grounds for dismissal, the company had effectively shifted the risks of technological iteration onto its own employees. You chose to buy the robot, the robot replacing people is not an act of God. This is just a Tuesday.

Which raises the obvious question, what is happening in the rest of the world? Here's where it gets generally absurd. By early 2026, roughly 78,000 to 80,000 tech jobs had been cut globally with more than three quarters of those losses in the US alone. Around half of those cuts were officially linked to AI or workflow automation. As of late April, over 92,000 tech workers had been laid off in 2026. Let's walk through what's actually happening at these companies. Oracle laid off an estimated 20,000 to 30,000 employees in March via a 6:00 a.m. email signed Oracle Leadership, not a person's name, just Leadership. Eliminating 20,000 to 30,000 jobs could generate $8 billion to $10 billion in savings for Oracle, and that freed capital is earmarked for AI data center investments. In normal words, we're firing tens of thousands of people to buy more GPUs. And the stated reason is Meta told employees this was all part of our continued effort to run the company more efficiently and to allow us to offset the other investments we're making. Meta announced in April it would cut 8,000 jobs, about 10% of its workforce, with layoffs beginning May 20th. Internal guidance suggests the company could ultimately reduce headcount by nearly 20% across the full year. Other investments means AI infrastructure. They're cutting people to fund the machines. In another example, Block, the company behind Square and Cash App, cut from 10,000 employees to 6,000. CEO Jack Dorsey said this was due largely to the new capabilities offered by AI and the reduced need for human employees. 40% reduction presented as a normal business update. Snap cut 1,000 jobs, 16% of its workforce. CEO Evan Spiegel cited rapid advancements in AI that enable our teams to reduce repetitive work, increase velocity, and better support our community. Reduce repetitive work. It's the same framing again. This is doing a lot of heavy lifting in that sentence, isn't it? Salesforce also laid off 4,000 customer support roles in September with CEO Marc Benioff saying, "I need less heads, not fewer roles." Not reduce headcount, I need less heads. Like he's ordering a shipment. And the kicker is that Alphabet, Microsoft, Meta, and Amazon are expected to spend nearly $700 billion combined in 2026 on AI infrastructure build-outs. So, to summarize, Silicon Valley is firing nearly 100,000 people in 4 months, half explicitly for AI, while spending $700 billion on AI infrastructure and presenting this as unavoidable technological progress.

Meanwhile, what legal protection exists in the United States or Europe? Here's what's generally striking to me. The United States has no federal law protecting workers from AI displacement, none. There are patchwork state laws focused on algorithmic transparency in hiring, such as Colorado's high-risk AI system law effective June 2026, California's privacy regime, New York City's AI hiring disclosure requirements, but those laws regulate how AI is used in hiring decisions, transparency, human oversight, the right to know if an algorithm rejected your application. They do not, however, protect you from being replaced once you're hired. The European Union's AI Act, the world's most comprehensive AI regulation framework, classifies employment-related AI as high risk and requires transparency, human oversight, and the right to explanation. It's scheduled to be fully applicable in 2026. But again, that's about algorithmic fairness in employment decision, not protection from automation. The act guarantees individuals the right not to be subject to a decision based solely on automated processing unless job applicants request human reevaluation, which is great if an AI wrongly rejects your job application, but still it does nothing if your company fires you because an AI can now do your job for less money. No jurisdiction outside China as of this moment has ruled that AI adoption alone cannot justify termination.

And this is happening while China is deploying AI at massive scale, by the way. China's core AI industry was valued at 1.2 trillion yuan, which is about 174 billion dollars in 2025 with over 6,200 AI companies. By the end of 2025, more than 30% of manufacturing enterprises had adopted AI technologies. That is a significant number. Chinese companies released over 300 humanoid robot products in 2025, more than half the global total. So, China is building robots faster than anyone else and protecting workers from displacement simultaneously.

Let's next talk about who bears the actual risk here. Here's what I think is actually happening. The legal framework in the United States operates on a simple premise. If technology can do your job cheaper, you're gone. Market decides, the cost of technological change falls on the worker. The Chinese legal framework just established a different premise. If technology can do your job cheaper, the company chose to deploy that technology and the business risk of that strategic decision cannot be transferred onto the employee. A Chinese lawyer put it perfectly and I'm quoting here, "Technological progress may be irreversible, but it cannot exist outside a legal framework." Which flips the entire assumption about automation, doesn't it? In the US model, Oracle can fire 30,000 people via email at 6:00 a.m. to fund data centers, and that's just how capitalism works. The workers absorb the disruption, the shareholders get the efficiency gains. In the Chinese model, Oracle buying AI is a business decision Oracle made. If that business decision makes somebody's contract impossible to perform, that is Oracle's problem to solve through retraining or reasonable reassignment or severance, not the worker's problem to solve by becoming unemployed. The court rulings are very specific about this. They know that companies should prioritize retraining workers, offering reasonable reassignments with fair compensation, or helping employees transition to higher-level roles requiring greater human involvement. And if the company can't or won't do that, then the firing is illegal.

Now, there is a generally funny detail buried in the Hangzhou case. The court ruled that the alternative position offered to Joe with a 40% pay cut, if you remember that one, was not a reasonable reassignment proposal, which means Chinese labor law has case precedent that says you cannot cut somebody's salary nearly in half, call it reassignment, and act like you fulfilled your legal obligation. Wild that this needs to be litigated, but here we are. Meanwhile, Meta is telling 8,000 people "We need to run more efficiently" while spending billions on GPU clusters, and there is no legal mechanism in the United States that says, "Wait, just hang on a second."

So, where does all of this go? If we actually think through the structural dynamics, a few things become clear. First, this creates a genuine competitive divergence. China is aggressively deploying AI, 30% of manufacturers adopted it by end of 2025, with penetration rates expected to exceed 90% by 2030. That's crazy. While legally requiring companies to absorb the transition costs, the US is also aggressively deploying AI, but the transition costs falls entirely on workers. Which approach produces a more stable labor market? Which approach maintains consumer spending power? Which approach avoids the social instability that comes from mass unemployment during rapid automation? Well, we're about to find out. Second, the Chinese rulings establish AI adoption as a business strategy, not as an external shock, and that matters because it changes the legal category. If AI displacement is treated like a natural disaster, something that just kind of happens to you, God did it, then layoffs are defensible. If AI displacement is treated like any other capital investment decision, something you chose, then the legal obligations change. The Beijing Arbitration Panel was explicit about this. The company's decision to adopt AI was voluntary, and by terminating the employee contract, the company was shifting the cost of the technological transformation to the employee. Third, we're watching the opening moves of how different systems handle the largest labor displacement event since industrialization, and the early signals suggest that China has decided to err on the side of the worker until the impacts are clearer. The US seems to have decided to let the market sort itself out. One researcher from the Chinese Academy of Social Sciences put it this way, I'm quoting, "Whether it makes Chinese companies less competitive or more resilient will depend on whether AI actually replaces the workers or merely changes what the workers do." The early evidence from the 92,000 layoffs from companies explicitly saying they're cutting head count to fund AI, from Meta firing 8,000 people while spending billions on infrastructure, suggests the answer in the United States is pretty clear. AI is replacing workers, full stop. China just said, well, not without legal consequences. The generation entering the workforce over the next decade will live with whichever framework their country chooses, and right now those frameworks are moving in opposite directions. If you want to dig into why Gen Z people are actually hating AI and actively sabotaging it, check out the video on your screen right now. It's pretty wild how these things are unfolding right now. Thank you so much for watching. Subscribe and I'll see you on the next one.