Read that this morning in the NYT, wanted to share.
China’s Plan to Save Jobs From A.I.
As it embeds the technology in every industry, China is thinking about how to keep humans employed.
A Chinese lab recently unveiled another astonishingly powerful and astonishingly cheap artificial intelligence model. GLM-5.2, produced by Z.ai, is almost as good as Anthropic’s latest model but runs at less than a tenth of its price.
The A.I. race between the U.S. and China has been front of mind at the highest levels of government in both countries.
But creating the most potent model is not the only — and maybe not even the best — way to measure A.I. success. Today I write about an area that’s had less attention, but where China might well have an edge: managing the human and political fallout from the A.I. revolution.
If there is one thing China’s Communist Party fears, it’s a restive proletariat.
In Wuhan, the world’s largest open-air laboratory for driverless cars, taxi drivers first complained about the growing fleet of robotaxis two years ago. Petitions were filed. Social media posts were hashtagged. The local outcry was noisy.
It focused minds in the party, which reacted swiftly to censor the protests online. But it also set off a bigger rethink of something that worries many in the West, too. How to avoid mass displacement of humans by A.I. in the labor market — and the political backlash that comes with it?
China has more experience than most countries with automating jobs. More than two million robots work in its factories. Driverless delivery vans roam many of its cities. Service robots attend to guests in hotels and restaurants. Parking-lot robots swap out dying E.V. batteries. Drones deliver lunch.
So far the fallout has been mostly among blue-collar workers. But A.I. is primarily threatening college graduates. And for an authoritarian regime that fears political instability, that’s a group that has historically caused trouble.
Which is why China’s goal to become the world’s A.I. superpower is now officially twinned with another one: keeping humans at the core of the A.I. economy. And over the past year, the government has started acting more decisively to make that happen.
‘Liberating labor,’ one court case at a time
When the Communist Party wants to show it really means something, it puts it in a five-year plan. And on Page 72 of its current five-year plan, China commits to “comprehensively address” the impact of A.I. on employment.
I spoke to Kyle Chan at the Brookings Institution, who studies China’s A.I. policy. He told me that China wants A.I. to augment humans — that is, make them more productive across old and new industries — not replace them. And in the process of transitioning to this A.I. economy, it says, it wants to cushion the impact to avoid social fallout.
My colleague Catie Edmondson recently wrote about what this looks like. The Ministry of Human Resources and Social Security is promising “targeted employment support for key industries.” One member of the National People’s Congress is calling for an “A.I.-unemployment insurance program” as a safety net for displaced workers. Party officials have pushed for vocational training to help workers adapt to an A.I.-centric job market.
Chinese scholars have even been developing a field they call A.I. Marxism — trying to apply a Marxist lens to questions like “Who or what creates value after the A.I. revolution?” (The machine? The human who invented it? The human who operates it?)
Perhaps most strikingly, the government is leaning heavily on companies to avoid layoffs. And those who don’t fall in line might find themselves in court.
There have already been several high-profile rulings siding with workers who were dismissed. In April, a court ruled that a tech company had illegally laid off a worker after replacing him with A.I. software. The ruling delivered an implicit warning to other employers.
“The development of artificial intelligence technology should be applied to liberating labor, promoting employment and improving people’s livelihood,” the Hangzhou Intermediate People’s Court wrote. “Labor law allows employers to undertake technological changes and upgrade their operations, but it should also take into account the protection of workers’ legitimate rights and interests.”
Just how that will work in practice, and how far the government is actually prepared to go with companies that don’t comply, remains to be seen. But what these rulings underscore is how much China is thinking about the problem.
Two different A.I. visions
The U.S. is letting tech companies take the lead on A.I., and Silicon Valley is focused primarily on one thing: achieving superintelligent machines capable of displacing humans. It’s an approach the Trump administration seems to be broadly on board with, or at least isn’t willing to stop.
China’s approach is different. China is imagining what it wants its economy and society to look like and how A.I. can help achieve that, Chan, the Brookings expert, says. It wants a self-reliant economy, and so it’s embedding A.I. in every industry — from flashy new businesses like robotics to uncool old industries like steel or cement — to turbocharge productivity so it can never be strategically vulnerable again.
It also wants stability and so, even as it does so, it’s thinking about how to keep humans employed.
China’s vision for A.I. is state-driven, aimed at achieving government goals. America’s is company-led — companies like OpenAI are pursuing superintelligence because it fits with their own interests, not because of a broader U.S. strategy, for now.
The lesson from China isn’t that countries should follow its specific approach to A.I. and jobs, Chan says — Chinese-style control over the tech industry isn’t feasible in most Western countries, for example. But China shows that policymakers have agency over this technology. They can influence its direction, rather than just letting the (A.I.) chips fall where they may.
Human choices still matter. That’s one reason we’re already seeing two very different visions for the future of A.I., playing out in real time.
