Meta Completes Operational Separation from Manus and Terminates Data Sharing, Responding to Chinese Regulatory Demands to Unwind $2 Billion Acquisition
Meta Platforms has completed the operational separation from AI service provider Manus and terminated data sharing, prohibiting Manus employees from accessing internal systems since early June and restricting internal staff from using Manus tools.
An internal memo at Meta requires employees to migrate existing projects and cease new tasks, responding to the National Development and Reform Commission's order in April to rescind the acquisition; Manus founders Xiao Hong, Ji Yichao, and Zhang Tao are seeking to raise about $1 billion to buy back the company, with investors such as Tencent, ZhenFund, and Sequoia China having received acquisition funds.
The cross-border AI capital path is reshaped by regulatory intervention, with Meta benefiting from risk isolation while startups reliant on Sino-U.S. integration face pressure, as funding flows towards compliance separation and local buyback schemes, reinforcing the distribution of pricing power under regulatory barriers.
Source: Public Information
ABAB AI Insight
Meta previously acquired Manus, registered in Singapore but rooted in China, for about $2 billion by the end of 2025 to bolster AI agent capabilities. Such cross-border transactions have faced scrutiny from Chinese foreign investment security reviews, similar to past cases like TikTok and ByteDance, where regulators were highly vigilant about technology outflow, leading to forced unwinding after rapid integration.
In terms of capital flow, Meta has paid funds to Manus investors but is transferring employees through its Singapore office and gradually severing data connections, motivated by compliance with the NDRC order to avoid greater penalties while retaining some AI technology value; Manus founders are mobilizing resources to raise funds for a buyback to maintain independent operations, concentrating resources on local compliant entities.
Similar to previous reviews and unwinding cases of foreign tech acquisitions in China, the current Sino-U.S. AI cooperation field is in a phase of transaction unbundling under tightening regulations, with the Manus incident becoming a risk benchmark for cross-border AI investments.
Essentially, this reflects regulatory changes, as China's foreign investment security review mechanism strengthens control over cutting-edge AI assets, leading to a shift in pricing power and technology flow from globalization mergers to national security barriers. Forced unwinding compels capital to reconstruct paths, accelerating the decoupling and local replacement process in the Sino-U.S. tech ecosystem.
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