AI won't take your job. But your employer might use it as cover

Something significant happened in China recently, and it deserves more attention than it has received. Two courts, both ruling the same way, established a legal precedent that could reframe how the world thinks about AI and employment. Not in some distant future. Right now.

A tech company in Hangzhou tried to cut an employee's salary from 25,000 yuan to 15,000 yuan on the basis that AI could now do the job more cheaply. The worker refused. The company fired them. The court ruled that the dismissal was unlawful.

Under Chinese labour law, you can terminate a contract under an "objective major change," something unforeseeable and outside your control that makes the contract impossible to fulfil. Think natural disasters, significant government shifts, forced relocations. The court's ruling was clear: choosing to adopt AI does not qualify. It is a deliberate management decision. It is predictable. It is within your control. Which means if you fire someone because of it, you are offloading your own strategic risk onto your employee. That is not legal.

The court put it in terms that should be on the wall of every boardroom: artificial intelligence should be used to liberate labour, promote employment, and benefit livelihoods. That sentence is doing a lot of work. It is not anti-technology. It is not even anti-disruption. It is a statement about intent, about who bears the cost of transformation, and about what we should collectively expect from the organisations wielding these tools.

What this means if you are leading an organisation

If you are adopting AI, and at this point most organisations are, this ruling is worth sitting with. Not because Chinese law applies to you. It does not. But because the logic it articulates does, and it is only a matter of time before courts in other jurisdictions start drawing similar lines.

The UK, the US, Europe, Australia and New Zealand currently have no equivalent legal framework. AI restructuring gets dressed up in neutral language, efficiency gains, role redundancy, strategic realignment, and workers are left fighting these battles one employment tribunal at a time without a body of case law behind them. That window will not stay open forever.

Organisations that are thoughtful now, that can demonstrate AI adoption was implemented with genuine workforce planning, retraining investment, and clear communication, will be in a much stronger position when the legal landscape catches up. Those that treated AI as convenient cover for headcount decisions they had already made will have much harder questions to answer. This is also a reputational question, not just a legal one. How an organisation treats its people through technological change becomes part of its story. That story travels.

The hopeful part

Here is what I find genuinely encouraging about the Chinese ruling: it shows that the law can move. That courts can look at a new technology, apply existing principles with care, and arrive at something just. The precedent exists. The logic is sound.

The question is whether governments and organisations wait until workers have fought enough individual cases to build that body of law, or whether they get ahead of it. Legislation before litigation is always the better path, for everyone involved.

For organisations, there is an even simpler version of this question: are you using AI to genuinely improve how people work, or to justify decisions you were already planning to make? If it is the former, you have nothing to worry about. If it is the latter, the courts are starting to take notes.

Ready to think this through?

At Paadia Technology, we work with organisations to navigate AI adoption in ways that are sustainable, for the business and for the people inside it. If you are working out what responsible AI integration looks like in practice, we would love to talk.