Core Insights - The article discusses how small and medium-sized game development teams are leveraging AI technology to create successful games, potentially disrupting the dominance of larger companies in the gaming industry [1][3][4]. AI Cost Reduction - The introduction of open-source AI, particularly DeepSeek, significantly lowers the cost of game development, making it accessible for smaller teams [10][12]. - The cost of using DeepSeek's AI is reported to be 1/20 of previous models, which could change the competitive landscape of the industry [10][12]. Game Development Efficiency - AI can enhance game development efficiency by over 30%, allowing smaller developers to bypass traditional high-cost barriers [12]. - The training cost for AI models is only 1/10 of GPT-4, and the API call price is significantly lower than industry averages [11]. Innovation and Market Opportunities - The article highlights the emergence of innovative AI-driven games from small teams, such as Shanghai Meowjito, which has released multiple successful titles in a short period [3][4]. - Predictions indicate that by 2026, 70% of independent games will utilize AI-assisted development, reducing costs by over 50% [12]. Competitive Landscape - Major gaming companies are also integrating AI into their products, indicating a shift in the industry where both large and small developers are adopting AI technologies [13][15]. - Smaller teams are expected to thrive by focusing on niche markets and utilizing low-cost AI tools to create unique gaming experiences [19][20]. Challenges and Risks - Despite the advantages, there is a risk of homogenization in game design, as many small teams may produce similar content due to the ease of access to AI tools [22][24]. - The article emphasizes the importance of creativity and unique game design, suggesting that the true value lies in the developers' ability to innovate beyond the technology [24].