China’s Big Bet on AI for Games

Key insights

7 takeaways

01
Chinese game studios are aggressively industrializing AI to combat rising costs and falling hit rates, with companies like 37 Interactive reporting that AI now produces over 80% of their 2D art and assists in over 70% of ad video creation.
02
The gap between Western and Chinese development is widening as Chinese firms prioritize rapid execution over risk minimization, exemplified by 37 Interactive shipping an AI-native mini-game in 10 days—a project that would traditionally require six months.
03
AI-driven game cloning has reached industrial scale, allowing developers to produce knockoffs in roughly one day, which forces indie studios to build deeper creative moats beyond just novel concepts to remain competitive.
04
A 2025 survey by the China Audio-Video and Digital Publishing Association found that 22.7% of companies believe AI investment is not worth the cost, reflecting the high financial risk of these bets in an environment where 95% of enterprise AI projects show no measurable return within six months.
05
In Japan, 100% of online game developers are using generative AI, though the primary focus is on backend operations like user behavior prediction and preference analysis rather than visible creative content.
06
Unity is leveraging its position as a major engine provider to integrate runtime behavioral data into its Vector AI ad platform, aiming to challenge AppLovin’s market dominance through improved prediction accuracy.
07
Game studios are increasingly positioning live-service titles as AI research infrastructure, with companies like CCP Games' Fenris studio partnering with Google DeepMind to study multi-agent decision-making and long-horizon planning.

Summary

The Chinese gaming industry has transitioned from experimental AI usage to a systemic, industrial-scale integration of artificial intelligence across production pipelines and core gameplay. While Western developers often approach AI with caution due to ethical concerns, copyright risks, and public backlash, Chinese studios prioritize pragmatic efficiency and aggressive innovation to combat rising development costs and market saturation. This strategic pivot is characterized by a willingness to invest in unproven, forward-looking applications, with major firms like miHoYo committing billions to build proprietary infrastructure and training models.

Data from 2026 highlights the scale of this adoption: approximately 80% of China’s top 50 game companies have publicly disclosed AI plans, and 60% of studios overall utilize AI in their workflows. The financial impact is significant, with AI-driven titles accounting for 42.6% of revenue among the top 100-grossing mobile games in the first half of 2026. Specific operational gains include Tencent’s VISVISE platform, which accelerates character rigging by over 8x, and widespread adoption of AI for 2D art and ad targeting, where adoption rates exceed 80% at major firms like 37 Interactive.

The industry’s rapid industrialization of AI is driven by a competitive culture that views missing technological shifts as a greater risk than the potential for project failure. This urgency is reflected in hiring trends, where AI-focused engineering roles are now more in-demand than traditional game development positions. While the long-term success of these high-risk investments remains to be seen, the current trajectory suggests that China’s aggressive scaling of AI-assisted production will continue to reshape global competitive dynamics, forcing international counterparts to reconcile their own adoption strategies or risk falling behind in efficiency and output.