From Zero to $1.2T: Zhipu AI's Open-Source Wins Big as Anthropic Stumbles

For startup founders and VCs, the Zhipu–Anthropic saga is a masterclass in strategic positioning. While Anthropic, a well-funded US AI lab, was paralyzed by its government's export controls, Zhipu pivoted decisively to an open-source model and a Hong Kong listing. The result: a 48% one-day stock pop and a 25x overall return inside six months. It's a stark reminder that in the AI race, regulatory resilience and market access matter as much as the technology itself.

The sudden and chaotic US regulatory action against Anthropic on June 12, 2026, and the explosive market response to Zhipu AI's open-source release just three days later, expose the deep contradictions of America's techno-nationalist AI containment strategy. The US Commerce Department ordered Anthropic to block all foreign access to its cutting-edge Fable 5 and Mythos 5 models, citing a jailbreak vulnerability. Unable to verify user nationalities in real time, Anthropic was forced to shut down the models globally, lock out its own non-US staff, and downgrade paying subscribers to legacy systems. The twist: Anthropic's own technical review found the flaws were minor and already present in other public models, and the company had actively lobbied for the very export controls that ensnared it.

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By June 22, the stock touched HK$2,980 (US$380), briefly giving the company a market capitalization above HK$1.2 trillion — a 25-fold increase from its January 2026 debut.

The market's verdict was swift and merciless. On June 15, Chinese AI pioneer Zhipu AI announced the open-source release of its GLM-5.2 foundation model. Shares of its Hong Kong listing vehicle, Knowledge Atlas Technology, vaulted 48% intraday. By June 22, the stock touched HK$2,980 (US$380), briefly giving the company a market capitalization above HK$1.2 trillion — a 25-fold increase from its January 2026 debut. This staggering capital migration underscores a structural shift: investors are pricing in a future where restrictive US controls make American AI firms less reliable, while more open jurisdictions become hubs for innovation and valuation.

At the heart of the fiasco is a category error. Washington has treated software models like physical nuclear components, applying hardware-era export controls to code that can replicate across borders in milliseconds. The result is not containment but acceleration of foreign alternatives. Since October 2022, the US has steadily tightened restrictions on advanced semiconductors, expanded entity lists, and leaned on allies to follow suit. Each move was intended to slow China's AI progress. Instead, it has spurred domestic investment, encouraged open-source strategies that erode proprietary moats, and driven capital toward platforms like Hong Kong that offer both proximity to mainland Chinese talent and a reliable common-law regulatory framework.