In a white paper about its plans for AI, WeChat-owner Tencent lists the societal benefits of deepfake technology and urges regulators to be lenient
Karen Hao / MIT Technology Review :
Context & Ripple Effects
Tencent's white paper reads differently now than when it ran: it was an argument for treating deepfake technology as a net social good, made by a company whose WeChat natural-language capabilities had already been packaged into a China-focused AI platform for other developers. The pitch for leniency was effectively a bid to keep that emerging content-generation market lightly governed.
Beijing did not take the advice. The Cyberspace Administration of China began regulating 'deep synthesis' software — AI-generated image, audio, and text — in January 2023, making China one of the few jurisdictions worldwide with operative deepfake rules while most others stalled over free-speech concerns.
First-order effects
- Every company building on Tencent's AI platform now operates under the CAC's deep-synthesis rules rather than the lenient regime Tencent lobbied for, meaning generated content carries compliance obligations Tencent's white paper explicitly tried to soften.
- Tencent itself is bound by the same framework: its push into generative products — including the reported plan to test an AI agent inside WeChat — makes its own output subject to the rules it once argued against.
Second-order effects
- Chinese firms gain a competitive asymmetry their Western counterparts lack: operating under settled deep-synthesis rules removes the legal ambiguity that has kept most other governments from acting, which aligns with reporting that Chinese policymakers and the public are notably more optimistic about AI deployment.
- As Tencent races domestic rivals it has fallen behind in AI models, regulatory fluency becomes a differentiator — a lab that can ship generative features inside a compliant framework moves faster than one waiting on unclear rules elsewhere.
Third-order effects
- The episode sketches the 'state-compatible AI lab' model: Chinese companies advocate commercially favorable positions publicly, then absorb whatever rules the state sets and compete on execution within them — the opposite of Western labs, whose lobbying often substitutes for regulation amid free-speech deadlock.
- If the pattern holds, deepfake governance splits into two regimes — China's licensing-and-labeling approach versus Western paralysis — and platforms with distribution like WeChat become the enforcement surface where those regimes are actually implemented.
The trend: China is converging on state-set generative-content rules that companies lobby against but ultimately build within, while much of the world leaves deepfake governance unresolved.