The Chinese short-form drama industry is undergoing a systemic transition toward the utilization of generative artificial intelligence to automate content production.

中國短劇產業正經歷一場系統性轉型，旨在利用生成式人工智慧實現內容生產自動化。

The short-form drama market, characterized by high-intensity, algorithmically optimized narratives designed for mobile consumption, has experienced substantial fiscal growth. In 2024, domestic revenue reached approximately $6.9 billion, eclipsing traditional theatrical box office earnings. This sector has since pursued international expansion, with the United States emerging as a primary revenue source, contributing roughly 50% of non-domestic earnings. DataEye reports that by January, an average of 470 AI-generated titles were released daily, signaling a shift toward total automation.

短劇市場以高強度、經演算法優化且針對行動裝置消費的敘事為特徵，經歷了顯著的財務成長。2024年，國內營收達到約69億美元，超越了傳統電影院線的票房收入。此後，該產業開始追求國際擴張，美國成為主要營收來源，貢獻了約50%的海外營收。DataEye 報告指出，截至一月，每日平均發布470部 AI 生成的作品，顯示出向全面自動化的轉型。

Institutional adoption of generative AI has precipitated a collapse in production timelines and a significant reduction in capital expenditure. Tang Tang of FlexTV indicates that production cycles have been compressed from several months to under thirty days, with North American production costs decreasing by 80% to 90%. This efficiency is facilitated by the compatibility of AI with the industry's reliance on repetitive, high-emotion tropes and data-driven plot adjustments. Consequently, firms such as FlexTV and Kunlun Tech have pivoted toward AI-centric models to minimize overhead and expedite market testing.

機構對生成式 AI 的採用導致製作週期大幅縮短，且資本支出顯著降低。FlexTV 的 Tang Tang 指出，製作週期已從數月壓縮至30天以下，北美製作成本降低了 80% 至 90%。這種效率得益於 AI 與該產業對重複性高、高情緒化套路以及數據驅動情節調整的相容性。因此，FlexTV 和崑崙科技等公司已轉向以 AI 為中心的模型，以最大限度降低管理成本並加速市場測試。

This technological shift has fundamentally restructured the labor pipeline. Traditional production roles—including cinematographers and lighting technicians—have been largely supplanted by a streamlined workforce of producers and 'AI asset curators.' These curators utilize models such as Kling, Seedance, and Nano Banana to translate scripts into visual prompts. While writers remain essential, their role has evolved; they must now provide hyper-specific visual descriptions to guide AI models, while simultaneously facing downward pressure on compensation and increased delivery quotas due to the accelerated production pace.

這場技術轉型從根本上重構了勞動力流程。傳統的製作角色——包括攝影師和燈光師——在很大程度上被精簡後的製作人與「AI 資產策展人」所取代。這些策展人利用 Kling、Seedance 和 Nano Banana 等模型將劇本轉化為視覺提示詞。雖然編劇仍然不可或缺，但其角色已演變；他們現在必須提供極其詳盡的視覺描述以指導 AI 模型，同時由於製作速度加快，面臨薪酬下降的壓力以及更高的交付配額。

The industry is currently transitioning toward a hybrid or fully automated production model to maximize scalability and minimize costs.

該產業目前正向混合或全面自動化的生產模式轉型，以最大化擴展能力並降低成本。