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Making sense of the panic over Chinese AI

By TechCrunch AI / Modelverse Editorial·July 26, 2026·3 min read
Making sense of the panic over Chinese AI

Making sense of the panic over Chinese AI Anthony Ha 12:40 PM PDT · July 26, 2026 The launch of the latest AI model from a Chinese company — Moonshot AI’s Kimi — reignited debates around American competitiveness and open versus proprietary AI.

While there was plenty of conversation on social media, it seems the debate is also happening behind the scenes in Washington, D.C., where OpenAI and Anthropic have reportedly lobbied regulators with concern about open Chinese models.

On the latest episode of TechCrunch’s Equity podcast, Kirsten Korosec, Sean O’Kane, and I discussed why this seems to be such a hot button issue. Beyond suggesting that certain folks should “touch grass” rather than spending their weekends arguing on X, Sean noted that in many ways, this “feels like we’re seeing repeats of prior freakouts,” with everyone in Silicon Valley “expecting that something is going to arrive and blow everything else away.”

And Kirsten noted that putting heavy restrictions on Chinese AI models could primarily benefit a handful of companies: “Are we accelerating and ensuring that Americans win the AI race, or are we ensuring that certain frontier labs do better than others?

Keep reading for an excerpt of our conversation, edited for length and clarity.

Anthony Ha: For folks who have followed the discourse around Chinese AI, this will probably be very, very familiar from the launch of DeepSeek, where basically a Chinese model comes out; on some benchmarks, it does as well, or at least seems competitive with some of the frontier models; and a certain portion of the tech industry loses their mind. 

Some of this [debate] got extra scrutiny because one of the people posting about it was [an executive] at OpenAI. But in general, there [is] this recurring question of: Can Chinese companies beat US companies, at least in some aspects, and do it much more cheaply and in a much more open way?

Sean O'Kane: Yeah, there are many elements of this that feel like we're seeing repeats of prior freakouts. I think one of my favorites is: Everybody is so ready [for] and so expecting that something is going to arrive and blow everything else away. And I think my favorite example of that this past week was people showing off that “My gosh, Kimi made in 30 minutes an entire replication of macOS.” And yeah, it made a pretty impressive graphical reproduction of what macOS looks like, but it's not an OS.

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