Political Bias Grows as the Adoption of Chinese AI Models Accelerates, New Benchmark Reveals

The new LatticeFlow AI benchmark confirms a clear pattern: Chinese LLMs are not becoming more neutral as they scale. Alibaba's Qwen 3.7 Max shows stronger political alignment than its smaller Qwen3 32B model. This challenges the assumption that larger models naturally become more generalized and less biased. The finding points to deliberate architectural or training data choices.

For Asia, this means a growing divergence in AI model development. Companies in markets like Singapore or South Korea, which aim for global applicability, will face a choice. They can either develop their own foundational models or rely on Western models to avoid specific political leanings. This could fragment the regional AI landscape, making cross-border model integration more complex.

The thing to watch is how regulators in Southeast Asia respond to this observed bias. If governments prioritize neutrality in public-facing AI, they may introduce new compliance requirements for models deployed in critical services. This would create a competitive advantage for less politically aligned models from any source.