IIMAKER speaks at the 2026 Chongrei Forum: Defining the “soul” and “limits” of game content creation in the AI ​​native era

The long-awaited “Hardcore AI Hub” sub-forum will feature a roundtable discussion “ “AI x Everything: Dreams and experiments of a new generation of entrepreneurs” We took a deep dive into how AI is reshaping the entrepreneurial ecosystem. Among the participants, Wei Tianrun, co-founder of IIMAKER, an innovative company specializing in AI-powered games and interactive content, shared his unique insights and practical experience on AI powering the creative industry.

With the rapid development of Generative AI (AIGC) technology, the global gaming and interactive content industry is experiencing an unprecedented productivity revolution. From automatic generation of characters and scenes to batch production and precise delivery of marketing materials, AI is dramatically reducing the marginal cost of content creation and distribution. At the same time, core questions are becoming increasingly prominent: As tools become more widespread, how can we avoid product homogenization? How can companies build unique brand value and competitive barriers beyond the technology itself? This is not just an issue for the gaming industry, but also a “soul-searching” issue that all AI-native application areas must face.

Regarding the rise of “private enterprises,” Wei Tianrun pointed out that AI has actually significantly lowered the threshold from idea to execution, smoothly overcoming the resource-intensive and highly specialized barriers inherent in traditional creation. For example, by leveraging its AI toolchain, IIMAKER can shorten the production cycle for marketing materials, which originally took weeks and required collaboration between teams, to just a few hours, while also allowing the company to quickly localize content for multiple global markets. But he also emphasized that AI raises new thresholds. First is the threshold of deep insight and top-level design. While AI can optimize click-through rates, it cannot replace humans in understanding the sentiments of a subculture or the unspoken needs of a community of players. This requires strong cultural sensitivity and sociological thinking from your team. Second, new standards of compliance and ethics. Issues such as copyright and data security related to AIGC require entrepreneurs to master an entirely new system of norms and regulations.

When discussing how to inject “soul” into AI-native products, Wei Tianrun elaborated on IIMAKER’s core philosophy. “Empowerment, not replacement” He said all of the company’s technology developments serve one goal: to reduce technological friction and unlock the potential of creators, not letting AI dominate the creative process. “AI is the most powerful ‘brush’ in a creator’s hand, but the person holding the brush is always the creator themselves.” IIMAKER strives to be the most reliable “first base” and “heart-stop” for creators entering the AI-native creative era. The brand is not characterized by the possession of a single, top-level, isolated AI technology, but by a deep understanding and systematic empowerment of the entire “interactive content creation” process.

Addressing industry concerns that AIGC could lead to homogenization of community content, Wei Tianrun introduced IIMAKER’s “proactive shaping” strategy. The company encourages and protects truly original content infused with the human spirit through a multi-pronged approach: building an AI tool library with diverse stylistic models, intentionally promoting innovative content within algorithmic recommendations, establishing an anti-plagiarism content fingerprinting system, and establishing a prestige and financial incentive system centered on “creative originality” and “emotional impact.” He emphasized that IIMAKER’s ultimate goal is to use AI to efficiently solve scaling problems from “1 to 100” while facilitating the “0 to 0.1” inspiration of creative ideas.

Finally, Wei Tianrun gave a heartfelt note to young entrepreneurs in the AI ​​field. The most commonly underestimated cost is “Adjustment costs” – namely, the cost of aligning the AI ​​tool to intent, the cost of tying it to actual market value, and the cost of managing the cognitive transformation of internal teams. These are often (implicitly) substantive. On the contrary, the part that AI cannot replace is precisely “Ask the right questions” – Discovering and defining deep unmet human needs and problems is always the most fundamental starting point for innovation.