AI短劇崛起，真人短劇賺錢難

• AI motion comic production pipeline: Script-to-video workflow utilizing LLMs for narrative generation, AI image generation (Midjourney, Stable Diffusion), and AI video generation (Runway, Pika) for dynamic visual processing[4] • Automation level: 2026 tools achieve up to 80% automatic content generation via AI Agents, reducing manual intervention to 20%[4] • Production efficiency metrics: Traditional animation requires 30+ person teams; AI-driven production operates with 5-7 person teams, reducing per-minute costs from 5,000 yuan to 1,000 yuan[Article summary] • Platform ecosystem: All-in-one solutions including Fliki (script-to-video), HeyGen (business-grade AI video), ImagineArt (webtoon animation), and LlamaGen (comic-to-video conversion) with automatic storyboard recognition[4] • Bona Film Group's technical stack: AI studio established 2023, AIGC short drama production (Sanxingdui series), digital actor technology, intelligent director systems, and virtual production studios through Boyue Xingji Blueprint subsidiary[1] • Content restoration: AI technology applied to restore actors' youthful appearances in theatrical productions[1]

The convergence of AI-driven production efficiency, massive distribution channels (1.04 billion short video users in China), and platform consolidation by major players (Tencent, iQIYI, Bilibili) signals a structural shift in content economics. Traditional monetization models face pressure as free platforms dominate, but AI production's 80% cost reduction and 1.15-2x ROI enable profitability at lower viewership thresholds. The motion comic market's rapid ascent (reaching 20 billion RMB by 2026) demonstrates that AI-native content formats can achieve mainstream adoption faster than previous generations. International expansion through partnerships (Bona's collaborations with TSG for blockbuster film investments) suggests Chinese AI content production may compete globally. However, regulatory tightening around AI-generated content (noted in China's 2026 social media landscape) and authenticity preferences among Gen Z audiences may constrain purely algorithmic content strategies, favoring hybrid human-AI production models.