China’s leading AI companies are now at a pivotal stage of commercialization. Data indicates that the total AI-related revenue of six major domestic AI firms is roughly 10% of the combined revenue of two leading overseas AI companies. Currently, domestic AI companies primarily pursue five key monetization strategies:

• Consumer-facing applications: Despite a vast user base, this sector struggles with low conversion rates for paid services and thin profit margins.
• Open model weights: While fostering ecosystem growth, the widespread availability of open models has eroded API pricing power, leading to low margins for most companies in this area.
• Customized deployments for enterprises and governments: These projects offer attractive margins but face challenges in scaling up. Pure model companies are actively reducing their involvement, while large corporations leverage their cloud infrastructure and customer networks to gain a competitive edge.
• Licensing fee models: Still in the experimental phase, this approach faces significant uncertainties in real-world implementation.
• Indirect monetization via core businesses: Giants like Alibaba and ByteDance drive revenue growth by integrating AI into existing cloud computing and advertising operations, unlocking broader potential.

The monetization strategies of AI companies with different backgrounds are rapidly diverging. Pure model companies must carefully balance model accessibility with profitability. Their future strategic decisions will serve as a critical indicator for tracking the evolution of China’s AI industry landscape.