AI重塑游戏：供给革新与需求跃迁，开启游戏产业新周期

Investment Rating - The industry investment rating is "Outperform" [1] Core Insights - AI is driving a dual engine of content supply and user demand in the gaming industry, leading to a new cycle of innovation [2] - The global AI gaming market is projected to reach $51.26 billion by 2033, with a compound annual growth rate (CAGR) of 36.1% from 2025 to 2033 [25] Summary by Sections AI Dual-Engine Drive: Stimulating Content Supply and User Demand - Supply Side: AI breaks the "impossible triangle" of game development, achieving cost reduction and efficiency while accelerating innovation. The development cost of AAA games is nearly $600 million, with a cycle exceeding 5 years. AI enhances art efficiency by 30%-300% and testing efficiency by 50% [2][14] - Demand Side: AI improves user experience, driving user growth and lifetime value (LTV). Smart NPCs and infinite content enhance user stickiness, with DAU growth rates reaching up to 8.35% [26][28] Three Pillars of AI Game Scaling: Model, Computing Power, and Cost - The collaboration of model capabilities, hardware computing power, and economic costs is essential for AI game scaling. Current breakthroughs in these areas are enabling real-time AI interactions and local deployment of large models [39][47] - The cost of AI model inference is decreasing exponentially, allowing developers to afford frequent AI calls in games, thus accelerating the commercialization of AI in gaming [48][55] Startups Exploring AI-Native Games, Large Companies Integrating AI into High DAU Products - Startups are pioneering AI-native game forms, while large companies adopt a gradual integration strategy, embedding AI into existing high DAU products to validate the commercial value of AI technology [58][72] - Major companies like Tencent and NetEase are progressively incorporating AI capabilities into their games, enhancing user engagement and operational efficiency [74]