According to official GDC data, the 2026 Game Developers Conference attracted approximately 30,000 participants globally, featured over 1,000 speakers, and involved more than 400 technology and gaming companies worldwide. Discussions on artificial intelligence were particularly prominent, indicating that AI is no longer a "future vision" but is deeply integrating into all aspects of game development. Currently, global AI development has entered the second half focused on application. Looking ahead to 2026, as AI penetration increases across the gaming industry chain, the sector is expected to benefit from multiple catalysts including supply, policy, technology, and distribution channels, potentially leading to simultaneous improvements in fundamentals and valuations.
Key viewpoints are as follows:
Positive outlook for the gaming industry chain by 2026: 1) Supply recovery: The normalization of game license approvals is becoming increasingly clear, with improvements in both quantity and pace, significantly easing supply-side constraints. Combined with major developers gradually releasing their pipeline products, the gaming market is poised for a new cycle of content supply growth. 2) Policy support: Ongoing government support for the digital economy, cultural consumption, and technological innovation continues to strengthen positive recognition of gaming's value as an industry combining technological attributes and cultural exports. 3) Technological catalysts: AI is emerging as a key variable in the gaming industry's next productivity revolution, with catalytic effects visible both at the tool level and in native experience enhancement. 4) Distribution changes: Market expectations suggest potential reductions in Google Play and App Store commission rates. If policy changes or platform ecosystem shifts lead to optimized revenue sharing, this would directly improve game developers' profit structures and substantially benefit profit margins.
Investment opportunities in the AI-driven gaming industry chain: Upstream: "AI+IP" and "AI+engine" applications are expected to reduce content development costs, shorten incubation cycles, and enhance capabilities in asset generation, NPC interaction, and underlying tools. Companies with IP reserves and technology platform capabilities are well-positioned, including CHINA LIT (00772), Zhangyue Technology (603533.SH), Chinese Online (300364.SZ), and Unity Software (U.US).
Midstream: "AI+PGC", "AI+UGC", and "AI+distribution" represent the most directly beneficial segments. AI can significantly improve efficiency in art assets, story scripting, code assistance, and testing optimization while lowering UGC creation barriers and expanding content supply. In distribution, AI enhances ROI through user segmentation, LTV prediction, creative generation, and投放 optimization. Recommended companies include TENCENT (00700), NTES-S (09999), 37 Interactive Entertainment (002555.SZ), Heartbeat Company (02400), Kaiying Network (002517.SZ), Century Huatong (002602.SZ), Giant Network (002558.SZ), G-bits (603444.SH),神州泰岳 (300002.SZ), Perfect World (002624.SZ), Glacier Network (300533.SZ), IGG (00799),祖龙娱乐 (09990),友谊时光 (06820),百奥家庭互动 (02100), and Roblox (RBLX.US).
Downstream: "AI+channel marketing" and "AI+user acquisition platforms" will further enhance customer acquisition efficiency, conversion rates, and retention performance. Companies to watch include Applovin (APP.US),汇量科技 (01860), Unity, KUAISHOU-W (01024), BILIBILI-W (09626),虎牙 (HUYA.US), and欢聚 (YY.US).
Risk factors include potential delays in AI technology iteration and product implementation. If large language models show slower-than-expected progress in content generation, intelligent interaction, or R&D efficiency improvements, or if cost reductions lag expectations, this could impact IP development, PGC/UGC content production, and game development efficiency. AIGC regulatory and compliance risks require ongoing attention, including copyright ownership of AI-generated content, data security, minor protection, algorithm governance, and stricter content review, all potentially increasing operational costs for platforms and developers. Commercialization risks cannot be ignored - while AI may improve user acquisition, marketing, and operational efficiency, if user willingness to pay, advertising demand, or conversion effects underperform expectations, related revenue realization may be weaker than projected. Increased competition in the gaming content industry could intensify, and changes in platform traffic allocation mechanisms might lead to market share and profitability fluctuations. Additional risks include macroeconomic consumption volatility, changes in license approval节奏, and potential underperformance of key product launches.
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