I Replaced Claude with a Chinese AI. What I Learned Explains the Future of Work.

Every other day there are posts claiming that Claude is killing copywriters, marketers, developers, and more.

The funny thing is, last week I just replaced the Claude Code with the Chinese model GLM 4.7

And speaking of replacement. It's well known that China is playing the geopolitical game to outplace the US.

But do you know the big differences between China and the United States in their approach to mass unemployment generated by AI?

China is not afraid of AI taking jobs.

America is debating it. China is building around it.

Here's the difference that most people miss.

China has a shrinking workforce. An aging population. Not enough workers to sustain the factories that built their economy. For Beijing, robots aren't a threat to employment. They're the solution to a demographic crisis that was already coming.

The West frames this as "humans vs. machines."

China framed it as "we don't have enough humans anyway."

Xi Jinping has a name for what comes next: "New Quality Productive Forces." The shift away from cheap labor and heavy industry, toward AI, high-tech, and innovation-driven productivity. Not replacing workers. Replacing the model that needed them.

And the regulation? It's not about protecting jobs either. Chinese AI guidelines focus on data security and ideological alignment. Making sure the algorithms don't expose state secrets. Making sure generative AI doesn't produce content that contradicts socialist values.

Social stability is the real concern. Not unemployment as a moral issue. Unemployment as a trigger for unrest. Which is why China is investing heavily in retraining programs, not to slow automation, but to absorb the displacement before it becomes a problem.

The goal is clear: global AI leadership by 2030. Full integration across healthcare, agriculture, manufacturing, justice. And technological sovereignty, reducing dependence on foreign systems in every critical process.

Two countries. Two completely different relationships with the same technology.

One is trying to manage the disruption. The other is trying to own it.

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This piece was crafted through UP Studio’s Human-in-the-Loop framework. All insights, arguments, and editorial decisions are mine; AI served solely as the execution engine under my direct supervision. This reflects the exact process I use when delivering to my clients.