Asian AI startups are launching new models that promise the same capabilities as Anthropic's popular Mythos and Fable 5 systems — but without the risk of an export ban. This move comes as Anthropic's export restrictions continue to block sales in key Asian markets.
According to TechCrunch, two companies — a Tokyo-based startup and a Beijing security firm — have released AI tools designed to fill the gap created by Anthropic's export ban.
What the new Asian AI models offer
The new models are being marketed as direct alternatives to Anthropic's Mythos and Fable 5 systems. These are the same AI models that the Trump Administration banned from export to certain countries.
As reported by The Next Web, the headline of their coverage states: "A Tokyo startup and a Beijing security firm just launched AI tools to fill the gap Anthropic's export ban created."
Why this matters for U.S. AI labs
The export ban has created a vacuum in the Asian market. Local companies are now stepping in to meet demand that U.S. firms like Anthropic can no longer serve.
According to daily.dev, the summary of the story notes that "U.S. AI labs may never recover this enormous market."
The ban has effectively handed Asian startups a golden opportunity. By offering similar technology without export restrictions, these new players can capture customers who previously relied on American AI products.
Our Take: A self-inflicted wound for U.S. AI
In our view, this is a clear example of how export controls can backfire. The intention behind the ban was likely to protect national security. But the result is that Asian competitors are now building their own AI ecosystems — and they are doing it fast.
Once these local alternatives become established, it will be very hard for U.S. companies to win back those customers. The Asian market is enormous, and losing it could mean billions in lost revenue for American AI labs.
To put it plainly: the export ban may have slowed down the spread of U.S. technology, but it has also accelerated the rise of Asian AI competitors. That is a trade-off that policymakers need to think about carefully.
