Roundtable Discussion: AI Intensity and Conversion Rate: Practical Growth Rules for Digital Experiences

The roundtable discussion offers a practical and insightful look into the real-world deployment of AI in the cultural and entertainment sectors, moving beyond hype to focus on sustainable growth and authentic integration.

1. The Core Paradox: AI Concentration vs. Conversion Rate

The most striking takeaway is the counterintuitive finding that maximizing AI usage is not the goal. The case study from the Guangzhou Cultural Center is pivotal: for audiences like children and the elderly, actively reducing AI concentration to 50% resulted in a conversion rate exceeding 50%. This demonstrates that the "secret" lies in a human-centered balance. Technology should act as a facilitator that enhances emotional connection and accessibility, rather than an overwhelming, sterile force. The "AI concentration" metric is therefore less about volume and more about strategic calibration to user context and comfort.

2. Deconstructing the "Human-AI Symbiosis" Model

The experts outlined a framework for this symbiosis:

• Full-Chain Integration: AI should be "like a smartphone"—a seamless tool woven throughout the entire user journey, from initial engagement to final product delivery. This requires a holistic view.
• Cultural Temperature First: The ultimate value is not the AI itself, but its ability to preserve and communicate cultural essence (the "temperature"). This means focusing on outcomes that resonate emotionally and culturally with the audience.
• Standardization for Scalability: The path from a bespoke project to a replicable solution involves standardizing three engineering pillars: data engineering, algorithm engineering, and application engineering. One company successfully reduced its deployment timeline from over a week to within three days by building a standardized, hybrid model (combining its proprietary "Intangible Cultural Heritage" large model with general-purpose models like Huawei's).

3. The Critical Challenges: Data and Rights in the Creative Process

The discussion honestly addressed the significant hurdles in merging AI with culture and creativity:

• The Data Dilemma: The most time-consuming task is capturing unstructured, tacit knowledge. Much cultural wisdom, especially in intangible heritage, resides in the minds and hands of masters, passed down through generations. Converting this into structured, machine-readable data through interviews and curation is a massive undertaking.
• The IP and Rights Labyrinth: Introducing AI tools for public creation raises immediate concerns about intellectual property, portrait rights, and commercial use. Solutions include:
  • Clear Usage Boundaries: Personal, non-commercial keepsakes are allowed, but commercialization requires explicit processes.
  • Digital Confirmation and Notarization: Implementing systems for digital rights confirmation and timestamped evidence storage ensures that created designs (e.g., for merchandise) have verified provenance, protecting both the creator and the platform.

4. Strategic Insights for Industry Participants

The speakers provided actionable advice for those entering the field:

• Positioning in the Value Chain: The opportunity is vast, from foundational model providers to application-layer specialists. A key role is that of a "harnesser" or integrator—companies that understand both the artistic/cultural intent and how to fine-tune and orchestrate AI tools (like combining different models for precision) to deliver that intent.
• The Rise of the Compliant IP Ecosystem: A major trend is the collaborative building of legally sound, reusable digital asset libraries. Entertainment and cultural entities provide the authentic IP, while technology platforms build the guardrails (e.g., compliance engines that prevent unauthorized generation). This creates a virtuous cycle: tech gains valuable content, and culture gains a scalable, protected digital monetization path.
• Future Outlook: The landscape is rapidly evolving towards massive, platform-driven IP repositories. The competition will be about who can offer the most compelling, legally clean content and the most effective tools to bring it to life, pointing towards a future of highly accessible yet controlled creative proliferation.

Conclusion: The Enduring Principle

Ultimately, the conversation circles back to the foundational principle: successful AI implementation in culture and entertainment is an exercise in empathy, not just efficiency. It requires deep respect for the human element—whether the visitor, the user, the artist, or the heritage itself. The technology is the engine, but the cultural narrative and human connection are the fuel and the destination. The winners will be those who master this balance, using AI not as a blunt instrument but as a nuanced collaborator in storytelling and experience-building.