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China stopped chasing Silicon Valley
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What 600 million users and 97% discounts tell us about where AI is actually going
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Tuesday, May 12, 2026
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What 600 million users and 97% discounts tell us about where AI is actually going
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Emre Aytekin/Anadolu via Getty Images
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<span style="color:#000000;background-color:#FFFFFF">
The
conventional wisdom about China's artificial intelligence sector has always been the same: good, but second place to Silicon Valley. Six months behind. Nine months behind.
</span>
</div>
<div>
<span style="color:#000000;background-color:#FFFFFF">
<span class="ql-cursor">
</span>
</span>
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That framing is now collapsing. The race itself has changed shape.
</span>
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<div>
<span style="color:#000000;background-color:#FFFFFF">
The clearest sign came in
</span>
<a data-linktext="a two-week window in April" data-linktype="Normal" style="color:#168DD9;background-color:#FFFFFF" target="_blank">
a two-week window in April
</a>
<span style="color:#000000;background-color:#FFFFFF">
, when three Chinese labs each released AI coding tools that matched the best Western models on standard benchmark tests, offered them as free, open software, and priced them below Western competitors.
</span>
</div>
<div>
<br/>
</div>
<div>
<span style="color:#000000;background-color:#FFFFFF">
The "months behind" gap, it turns out, depends heavily on which test you run and how you set it up.
</span>
</div>
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<br/>
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<div>
<span style="color:#000000;background-color:#FFFFFF">
This is not the story most people expected. A little over a year ago, a Chinese startup called
</span>
<a data-linktext="DeepSeek sent shockwaves through global markets" data-linktype="Normal" style="color:#168DD9;background-color:#FFFFFF" target="_blank">
DeepSeek sent shockwaves through global markets
</a>
<span style="color:#000000;background-color:#FFFFFF">
when it revealed its R1 model, built nearly as capable as the best American ones at a fraction of the cost. Nvidia's stock briefly tumbled. Silicon Valley went into a quiet panic.
</span>
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<br/>
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<div>
<span style="color:#000000;background-color:#FFFFFF">
What's emerging now is something different, and in some ways more significant. A sprawling, fast-moving ecosystem
where competition is pushing Chinese AI outward rather than just upward.
</span>
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Open source as soft power
</span>
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<span style="color:#000000;background-color:#FFFFFF">
When DeepSeek released its latest model last month,
</span>
<a data-linktext="offering discounts of 75% to 97% below comparable" data-linktype="Normal" style="color:#168DD9;background-color:#FFFFFF" target="_blank">
offering discounts of 75% to 97% below comparable
</a>
<span style="color:#000000;background-color:#FFFFFF">
American models depending on the use case, the Western AI world mostly shrugged. No stock crash or hand-wringing this time. And that’s despite the prospect of high stakes IPOs for both
</span>
<a data-linktext="Anthropic and OpenAI" data-linktype="Normal" style="color:#168DD9;background-color:#FFFFFF" target="_blank">
Anthropic and OpenAI
</a>
<span style="color:#000000;background-color:#FFFFFF">
this year.
</span>
</div>
<div>
<br/>
</div>
<div>
<span style="color:#000000;background-color:#FFFFFF">
A year of headline-grabbing Chinese releases had raised the baseline for what counted as surprising. These tools have quietly become some of the most widely used openly available AI systems in the world. By the end of 2025, roughly a third of all
</span>
<a data-linktext="global AI usage involved Chinese open-source models" data-linktype="Normal" style="color:#168DD9;background-color:#FFFFFF" target="_blank">
global AI usage involved Chinese open-source models
</a>
<span style="color:#000000;background-color:#FFFFFF">
. For developers in Nigeria, Malaysia, and Brazil, using Chinese tech can run more than 90% cheaper than building on OpenAI products.
</span>
</div>
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<span style="color:#000000;background-color:#FFFFFF">
<span class="ql-cursor">
</span>
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<span style="color:#000000;background-color:#FFFFFF">
This was not the original strategy. Chinese companies initially turned to open-source AI because it was easier to build on foundations others had laid. But as the geopolitical stakes grew clearer, Beijing started to see openness as a feature, not a workaround.
</span>
</div>
<div>
<br/>
</div>
<div>
<span style="color:#000000;background-color:#FFFFFF">
Meanwhile, the U.S. moved in the opposite direction. As AI became extraordinarily expensive to build and treated more and more like a race, American labs
increasingly shared less information. Even Meta,
</span>
<a data-linktext="which had made open-source AI central" data-linktype="Normal" style="color:#168DD9;background-color:#FFFFFF" target="_blank">
which had made open-source AI central
</a>
<span style="color:#000000;background-color:#FFFFFF">
to its identity through its Llama model family, began pivoting toward closed models after its Llama 4 release
disappointed.
</span>
</div>
<div>
<br/>
</div>
<div>
<span style="color:#000000;background-color:#FFFFFF">
The irony cuts both ways. Google, Anthropic, and OpenAI have accused
</span>
<a data-linktext="Chinese competitors of using a technique" data-linktype="Normal" style="color:#168DD9;background-color:#FFFFFF" target="_blank">
Chinese competitors of using a technique
</a>
<span style="color:#000000;background-color:#FFFFFF">
called distillation to extract capabilities from Western models without authorization, essentially learning from a teacher model to build a cheaper student version, an allegation Chinese officials say is groundless. Beijing, meanwhile, has shown it will protect its own assets too,
</span>
<a data-linktext="blocking Meta's acquisition of the" data-linktype="Normal" style="color:#168DD9;background-color:#FFFFFF" target="_blank">
blocking Meta's acquisition of the
</a>
<span style="color:#000000;background-color:#FFFFFF">
Singapore-based but Chinese-rooted AI startup Manus.
</span>
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<h2 style="mso-line-height-rule:exactly;Margin:0;font-family:Arial;font-size:20px;color:#000000;font-weight:bold">
<span style="color:#000000;background-color:#FFFFFF">
When adoption becomes the metric
</span>
</h2>
<div>
<span style="color:#000000;background-color:#FFFFFF">
Inside China, the story has shifted from building models to deploying them everywhere. More than
</span>
<a data-linktext="600 million people in China were using generative AI as of December" data-linktype="Normal" style="color:#168DD9;background-color:#FFFFFF" target="_blank">
600 million people in China were using generative AI as of December
</a>
<span style="color:#000000;background-color:#FFFFFF">
, a 142% increase from the year before, according to the China Internet Network Information Center, a government-affiliated body.
</span>
</div>
<div>
<span style="color:#000000;background-color:#FFFFFF">
</span>
</div>
<div>
<span style="color:#000000;background-color:#FFFFFF">
The practical applications have spread in ways that are hard to compare directly to the U.S., where AI has been absorbed more quietly into existing tools and workflows. Judges in Shenzhen processed
</span>
<a data-linktext="50% more cases last year" data-linktype="Normal" style="color:#168DD9;background-color:#FFFFFF" target="_blank">
50% more cases last year
</a>
<span style="color:#000000;background-color:#FFFFFF">
, partly with AI assistance.
</span>
<a data-linktext="Tencent has embedded AI into WeChat" data-linktype="Normal" style="color:#168DD9;background-color:#FFFFFF" target="_blank">
Tencent has embedded AI into WeChat
</a>
<span style="color:#000000;background-color:#FFFFFF">
, China's dominant messaging and payments app. Alibaba is offering AI that it describes as a
</span>
<a data-linktext="“digital workforce” to merchants" data-linktype="Normal" style="color:#168DD9;background-color:#FFFFFF" target="_blank">
“digital workforce” to merchants
</a>
<span style="color:#000000;background-color:#FFFFFF">
on its e-commerce platform.
</span>
</div>
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<br/>
</div>
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<span style="color:#000000;background-color:#FFFFFF">
But it's not all gas, no brakes. Last month,
</span>
<a data-linktext="a Chinese court ruled" data-linktype="Normal" style="color:#168DD9;background-color:#FFFFFF" target="_blank">
a Chinese court ruled
</a>
<span style="color:#000000;background-color:#FFFFFF">
that companies cannot fire workers simply to replace them with AI. The decision stands in contrast to the U.S., where policymakers have largely left workers to navigate AI displacement on their own. It was a signal that Beijing is trying to
manage the social disruption it is simultaneously accelerating.
</span>
</div>
<div>
<br/>
</div>
<div>
<span style="color:#000000;background-color:#FFFFFF">
The remaining gaps are real, although it is mostly around semiconductors. U.S. export controls have kept the most advanced chips out of China, forcing labs to work around shortages in ways that add cost and time. Chinese chipmaker
</span>
<a data-linktext="Huawei is growing fast" data-linktype="Normal" style="color:#168DD9;background-color:#FFFFFF" target="_blank">
Huawei is growing fast
</a>
<span style="color:#000000;background-color:#FFFFFF">
, with AI chip revenues projected to hit $12 billion this year, but its hardware still lags the American frontier by at least two generations.
</span>
</div>
<div>
<br/>
</div>
<div>
<span style="color:#000000;background-color:#FFFFFF">
The picture that emerges is not of a country running a close second. It's of a country running a parallel race on a track it helped design. Chinese AI is cheaper, more open, more
embedded in daily life, and closing fast.
</span>
</div>
<div>
<br/>
</div>
<div>
<span style="color:#000000;background-color:#FFFFFF">
Whether that constitutes being "behind" depends on which metric you value more, adoption or raw model capability.
</span>
</div>
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<span style="color:#000000;background-color:#FFFFFF">
—Jackie Snow, Contributing Editor
</span>
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