01
工具做得出來,做成什麼樣要看我們賣什麼
這趟四家的工具都看過了。能力上沒有做不到的,差別在規格,而規格取決於方向。
問題不是該不該自己做工具,是這個工具要為了什麼而做。目的沒有定義出來,規格就定不出來。
- 1問題一 · 品質 他們沒有秘方,差別在 skill
流程跟我們現在做的一樣。模型大家都拿得到,工具的殼也不難做,品質的上限在 skill 裡寫了什麼判斷。(第 4、6 頁)
- 2問題一 · 品質 決定品質的是前段的劇本,不是後段的畫面
四家都把最重的力氣放在劇本這一段,所以那一段不該送出去。(第 14 頁)
- 3問題二 · 產量 他們的量是人數給的,不是工具給的
現在所有人最重的策略都一樣:把生產能力交出去給更多人。愛奇藝交給外部創作者、娃娃魚交給一人公司、九州交給新人。(第 8 頁)
- 4問題二 · 產量 放量之前要先有成本歸屬
八成以上會被淘汰,被淘汰那些的單位成本決定利潤。所以每一次生成都要算得到人頭上。(第 9、10 頁)
- 5問題三 · 出海 切入點在多語版本的邊際成本
華策譯製中心涵蓋五十多種語言、年產能超過一千小時,九州翻譯中台一個月過千部。後段生成便宜,多產幾個語言版本比想像划算。(第 13、15 頁)
- 6貫穿三題 用別人的工具,議價權就在別人手上
而規格本來就是從策略推下來的。我們要賣什麼還沒定,工具就沒有規格。(第 5、7 頁)
所以要先拍板這四件事
- 1精緻,還是快速短劇
華策做精品、九州做量產,兩邊都在賺錢,差別在變現方式。先定變現,品質路線跟著就定了。
- 2衝量,還是做代表性的東西
- 3做內部產品的內容工廠,還是做區域第一的短視頻龍頭
- 4加大投資,還是節省成本
六條結論對應出發前的三個問題,四件事是要你們決定的。下一頁是逐題的完整答案,後面是這些結論怎麼來的。
02
我方提問
出發前的三個問題,答案在這裡
我們一個月內已經把整個 pipeline 做出來,確定可以按標準方式產出影片,Champion 那邊也驗證過可以執行。帶去的是這三題。
問題一 品質要再提升,我們忽略了什麼
畫面不是天花板,故事才是。九州說 AI 直出的上限大概就是基座模型的上限,最高到八十分,真正拉開差距的是故事。娃娃魚也講同一件事:不是無腦丟給 AI,哪個環節該用傳統做法就拆回來做。
4K 不要直接抽。愛奇藝的做法是先用低解析度抽卡確認,再重抽 4K,而且他們明講「重新抽就是會有點不確定」。一個鏡頭平均抽三次。
打光與調色有專門面板。這一段不必靠重新生成解決。
第 5、13 頁
問題二 怎麼 scale up 到大量產生
他們的量不是工具給的,是人數給的。九州一週兩百部靠的是大量新人,工具規格因此是「新人也要能兩抽一」;愛奇藝一天四千部是外部創作者上架的,不是自己做的。
放量之前要先有成本歸屬。他們的測出率約一成五,等於八成以上會被淘汰,被淘汰那些的單位成本決定利潤。所以每一次生成都要算得到人頭上。
我們缺的是人的供給。他們的創作者池是政策補助養出來的,這一塊工具補不了。
第 7、8、9、10、11 頁
問題三 出海還有什麼可以切入
從 AI 這一側,機會在多語版本的邊際成本。華策的譯製中心涵蓋五十多種語言、年產能超過一千小時;九州的翻譯中台一個月處理超過一千部;愛奇藝海外覆蓋各語種,含韓語、泰語、西班牙語。
後段便宜,所以多語版本划算。720P 不抽卡是一塊人民幣一秒,台灣電視 1080P 就夠。一部內容多產幾個語言版本的成本比想像低。
要補的是語料。台灣口音要能做,得由我們提供語料。
第 13、15 頁
三題的答案指向同一件事:品質靠 skill、產量靠人數、出海靠多語的邊際成本。三個都不是買一套工具就能解決的。
03
四家對照
四家的路線與數字
同一個產業,四條不同的路線。每家的數字底下是不同的生意,所以對工具的要求也不同。
- 平台方,自己做工具開放給外部創作者用。
- 是外部創作者上架量,不是愛奇藝自己做的。他們自己每年投 200 多億人民幣做內容。
- 上架不需要審核,申請完就上,靠個性化推薦分發。觀眾買單就給量。
- 創作者團隊通常三到五人。
- 「以前很少,去年很少」。這是今年才出現的規模。
- ▸ 工具因此要:零門檻,讓外部三五人的團隊自己做完並上架。
- ▶ 代表作:《天問》,鮑德熹·愛奇藝 AI 劇場首作,18 分鐘科幻短片,全片用纳逗Pro 做設定與分鏡。該劇場共 16 部,都在 20 分鐘以內。
- 傳統影視轉型,走精品路線。
- 導演加副導演兩人,其餘分擔角色。自評「不算快,但我們做精品」。
- 某作品全網第 11 名,而且還沒做投流。中途發現更好的改法,重做了前十集。
- 不把劇本投進外部 AI,編劇先用手稿篩一次。
- ▸ 工具因此要:裝得下自家的 Tone,而且不能把劇本送出去。
- ▶ AI 代表作:查無已上線的公開作品。自研模型「有風」「國色」均已通過國家備案,AIGC 中劇《帝姬令》尚未播出。
- 動畫公司轉 AI,走低成本快速。
- 搭配一人公司做產能。使用者不需要學提示詞,平台把複雜度抹平。
- 不自研大模型。主要用火山,「你繞不開火山」。
- 重要的人放前期控品質,後段是驗收與執行,可以快速擴充。
- ▸ 工具因此要:把提示詞抹平,讓後段的人只做驗收。
- ▶ AI 代表作:對方提供的片名為《我全職業滿級大神》,尚未找到可播放連結。官網 wawayu.tv 已停用。
- 短劇起家,已經出海。ShortMax 在美國、日本、東南亞都有量。
- 去年拍真人的時候,一個月才 200 部。同一家公司、同樣的產品,換掉的是製作方式。
- 可授權的豎屏劇庫存 800 多部,每月新增 50 到 100 部,「新的基本上普遍都是 AI 的」。
- 翻譯中台一個月處理超過一千部。一週 200 部約等於一個月 870 部,兩個數字對得上。
- ▸ 工具因此要:讓新人也能兩抽一,而且每一次生成都算得出成本。
- ▶ 出海平台:ShortMax 官方頻道。單一 AI 代表作查無公開資料,現場放的樣片片名待確認。
「我們去年真人的時候,差不多一個月也就 200 部左右。截止到今年,我們可能一週就能上 200 部內容。這完全是基於科技的發展、結合 AI 來做的。」
九州文化
04
九州 現場展示的生產線
沒有秘方,只有做法
從小說或題材進來,拆劇本、拆分鏡、生成、剪輯、配音、上架。順序、環節、卡關的位置,跟我們現在做的一樣。
他們手上沒有我們不知道的方法。差別在於這些環節他們已經做過很多次,把做法固定了下來。
九州現場展示的生產線
小說輸入 → 轉劇本 → 要素提取(場景、角色狀態、伏筆)→ 分鏡 → 分鏡推理 → 一鍵成片。
現場播放的成品為零修改直出。
以下說明差別所在。
所以卡住我們的不會是技術,是目的還沒定。
05
四家對照
工具的規格是從策略推下來的
四家的工具長得都不一樣,因為四家要做的生意不一樣。規格不是技術決定的,是生意決定的。
| 對象 | 他們要做的生意 | 所以方向是 | 工具因此必須 | 對 skill 的要求 |
| 九州 | 做頭部,而且要絕對增長 | 大量產出,一週兩百部 | 讓新人進來就能做到兩抽一 | 最深。有專責團隊持續優化 skill,內部算法分成好幾個方向 |
| 華策 | 做精品,靠品質賣版權 | 四五個人一個月一部 | 裝得下自家的 Tone | 窄而深。只解自家 Tone,由一線的人指出來、Coder 去寫 |
| 娃娃魚 | 把生產管理賣給別人用 | 客戶是外部團隊,不是自己 | 抹平提示詞,人只做驗收 | 要吃掉提示詞。使用者連參數都不碰,只判斷合不合格 |
| 愛奇藝 | 做平台,靠創作者供片 | 外部一天上架四千部 | 零門檻,但創意仍由人主導 | 廣而淺。劇本到宣發全流程都要有,每個都要新手能用 |
九州這一條可以看得最清楚
「(早期)平均做了
三抽一,就成了抽卡師。因為這個行業本來沒有什麼專業的抽卡師,它都是新手。」
「現在 2.5 都可以做到
兩抽一。什麼時候能做到
一抽一,那個時候就很厲害了。」
新人要能兩抽一,這個規格是從「一週兩百部」推下來的,不是從模型能力推上去的。
華策說了業界的行規
唯一不會分享的,就是工具裡面的 skill 是怎麼寫的。那是這些工具裡唯一的價值。
skill 裡裝的就是各家的策略,所以那才是不外流的東西。
所以我們的工具規格,要從我們要賣什麼推下來。那件事沒定,規格就推不出來。
06
四家對照
核心是 skill,不是工具
模型大家都拿得到,工具的殼也不難做。四家真正在養、而且不外流的,是工具裡的 skill。
模型是共用的,這件事他們講得很白
娃娃魚 不自研大模型,主要用火山,「你繞不開火山」。
九州 「AI 直出的上限,大概就是我們基座模型的上限,理解它可能最高到八十分。」
同一批模型我們也拿得到,所以差距不會出現在這裡。
所以他們養的是 skill
華策 「我知道我這個 Tone 的地方在哪裡,所以我們的 Coder 才會去解決我們 Tone 的地方。」現在集團內部所有 AI 做劇的團隊都在用同一套。
九州 有專門一個團隊在研究怎麼優化 skill,內部算法分成好幾個方向。
娃娃魚 「我們不吃模型飯,我們其實吃的反而是這套的管理。模型越強,我們這套越強。」
資深經驗→寫進 skill→
資深員工離職→改用新進人員→產能維持一週兩百部
九州當初把經驗寫進工具的資深員工已經離職,工具留下來,換人操作仍然運作。判斷沉澱在 skill 裡,不在人身上。
「唯一不會分享的,就是工具裡面的 skill 是怎麼寫的。那是這些工具裡唯一的價值。」
華策影視
所以問題不是要不要自己做工具,是 skill 由誰來寫、寫給誰用。
07
我方判準
用第三方工具前,要先評估的四個風險
風險一
議價權旁落
採用外部工具時,我方僅具備產出能力,不具備調整工具的能力。
不掌握其運作方式,僅能等待對方調整。收費與合作條件由對方掌握。
風險二
劇本會送出去
華策不把劇本丟進外部 AI。他們的說法是,那等於把百科全書給了別人的模型。
寧可讓編劇先用手稿篩一次,也不省那段時間。
娃娃魚的馬來西亞案給了第三個選項:整套系統部署到當地、加自己的伺服器。
談的時候可以把這個提出來。
風險三
內容會被法規擋住
創意會遇到法規限制而生不出來。娃娃魚給了兩個解法:申請白名單,或接入其他模型,
包含引進台灣的模型。
但破限的價格是另一個量級。美國的 Seedance 破限版一秒鐘七美元。
另外大陸規定 AI 生成內容必須打 AI 標。
風險四
成本難以歸因
只學快速產出、沒學控成本的機制,成本將難以控制。
產量提高的同時支出同步放大,且無法歸因到個別作品。
他們用積分做這件事,做法在第 9 頁。
這四項都不是不能接受,但要知道自己接受了什麼,以及哪一段不能一起交出去。
08
四家的共同策略
四家都在把生產能力交出去
現在所有人最重的策略是同一個:讓更多人能產內容。差別只在交給誰。
| 對象 | 交給誰產 | 怎麼降門檻 |
| 愛奇藝 | 外部創作者,一天上架四千部 | 工具開放、上架不需審核、把內部的劇本評估系統放出去 |
| 娃娃魚 | OPC 一人公司社群 | 抹平提示詞,使用者只做驗收;園區、工位、與學校合作 |
| 九州 | 內部大量新人 | 工具內建引導與提示、7×24 技術解答群、面試直接做題 |
| B 站 | 平台上的創作者 | 本來就是 UGC 生態 |
愛奇藝把這件事做成了實體投入
「我們現在也特別希望把創作者生產做得特別好,在各大場合裡都在做創作者的服務。」
八月二十號在北京有創作者大會。
「我們在全國各地都建了創意中心,樓上就有一個,在上海、北京、武漢、深圳,香港也正在建。」
九州講門檻的那句
「他沒有什麼門檻,就很簡單的一個邏輯。你說抖音它為什麼能成功?那就是因為它簡單。」
要一週兩百部 → 找不到那麼多老手,人一定是新人 →
工具規格是「不會的人也要能把片做完」
他們在擴張的不是產能,是能產出的人數。我們要放大的如果不是人數,工具的規格會完全不同。
09
愛奇藝 做平台九州 目標做頭部
用積分控制生成成本
團隊積分=生成額度→
消耗越少+收入越高=獎金越高
每個團隊拿到一筆積分,積分就是生成要花的額度。花費和收入直接算成獎金。
「我們團隊裡面的計分分配、監控、看人效比、做團隊的管理也有幫助,那對成本也很有幫助。」
愛奇藝
這條鏈
八成的產出會被淘汰 → 成本必須算得到每個人頭上 →
工具規格是「每一次生成都能歸屬到人與作品」
九州做到算力網關這一層:所有算力渠道接入、某渠道連續兩次失敗就切到較貴的、計價到團隊、
個人有配額、團隊不設配額只做風控報警、最後績效用產出減去成本計算。
為什麼這件事值得抄
AI 生成的成本不易掌握,因為單次成功所需的生成次數難以預估。對方將其量化為可考核的數字,消耗較少者取得較高獎金。此機制與採用何種工具無關,亦不需等待自建,可即刻導入。
這條規格跟我們賣什麼無關,先做不會白做。
10
九州 靠量取勝
跑得起來的不到兩成
「行業裡頭,測出一百部裡頭可能只有百分之二十是故事可以測出來的。不是每一個我們認可的故事它都能測出來。百分之二十,我們家應該算是行業裡頭非常高的了。」
九州文化
同一場講了四個數字,不是同一件事
20% 九州自評,並說這在行業裡算非常高。
15% 他們現在的實際測出率。
10% 演算法帶隊給製作團隊的 KPI 門檻:一天產出一百部,要測出十部。
兩萬 「測出」的定義是自然流量約兩萬觀看。
所以一週兩百部的意思是
以他們現行的一成五算,兩百部裡跑得起來的約三十部。其餘的會被淘汰,這是他們模式的預設條件,不是意外。
也因為這樣,被淘汰那一百七十部的單位成本,決定了整體利潤。積分機制的用處在這裡。
這條鏈
靠量取勝 → 必須忍受八成被淘汰 →
工具規格是「便宜到可以丟掉」,不是「精緻到不能失敗」
傳統電視製作的容錯率遠低於此。若採此路線,須先與財務單位取得共識。
我們要做精品的話,這條規格整個相反。先定方向,才知道要哪一種。
11
娃娃魚 賣生產管理華策 做精品
創作者的供給來自政策補助
娃娃魚與華策均設有教育與產業園區。以下政策資料為會後查詢公開資訊,非現場說法。
| 政策 | 內容 |
上海「滬8條」 2026.05 |
AI 加微短劇中試基地,補貼最高 1,000 萬元。一人公司第一次被寫進政策。 |
深圳 AI OPC 計劃 2026–2027 |
2027 年底前,一人公司社區空間超過 50 萬平方米。南山、龍崗、龍華百萬級補貼。 |
公司法修訂 2026 |
取消一人只能設一家公司的限制。線上一站式註冊,免費給印章和稅控。 |
| 稅務 |
月銷售額 10 萬以下免增值稅。小微企業實際稅率 5%。 |
| 各省微短劇獎勵 |
江西一次性獎勵加年度投資額最高 20%。湖南百萬級。廣東 30 到 50 萬。 |
設立園區與教育機構,同時取得補助、培養創作者並取得內容,三者為同一套設計。
這條鏈
他們的人力供給來自補助與園區 → 我們沒有這一塊 →
我們的工具要補的是「用更少的人做同樣的量」
工具只補得了這一段,創作者的供給要另外想辦法。
12
四家對照
方法可以學,人數學不來
抄得動
- 把資深的判斷寫進工具
- 積分綁獎金的成本機制
- 把敘事框架拆成可複用的模組
- 合作前先讓兩邊編劇磨合,磨不了就不做
抄不動
- 六七千人的創作者池子
- 政府補助、稅制、法規三件事一起挖出來的供給
- 大陸的人力成本
- 他們花在 research 上的那幾年
以「取得數千名創作者」為前提的規劃,在台灣不具可行性。
這條鏈
抄不動人數 → 只能抄判斷 →
工具規格是「把資深的判斷變成新人也能用的東西」
所以規格的重點是每個人的產出倍數,不是總人數。
13
我方判準
要不要自己做工具,先看工具是拿來放大什麼
四家的收入來源都不是工具本身。工具用於放大既有資產,所以先確認我方要放大的是什麼,才談得上要不要自建。
| 公司 | 原本就有的 | 工具在放大的 |
| 愛奇藝 |
平台與流量。每年投資 200 多億人民幣做內容,內部有中台收劇本。
接入 200 多個核心 IP、藝人與數位資產 行前 research |
把內部的劇本評估系統開放出去,外部創作者每天替平台上架 4,000 部。 |
| 華策 |
國際發行網絡。英俄法西加越南、泰國、印尼,社交媒體覆蓋超過 6 億。
C-dramaRights 覆蓋 102 國、自有片庫五萬小時 行前 research |
用 AI 譯製與多語種工作流,把既有內容賣到更多語區。 |
| 九州 |
ShortMax 出海通路,以及自己那套 UA 流量工作流。 |
把產能提高到一週兩百部,供給自有通路。 |
| 娃娃魚 |
自建的製片中台,從傳統二維時期就有。
動畫業 25 年,高峰期團隊 270 人 行前 research |
轉成 AI 漫劇,並把整套系統外賣到馬來西亞。 |
若沒有可被放大的既有資產,導入工具的效益有限。
所以答案不在工具本身,在我們要放大的是什麼。那件事沒定,工具就沒有規格。
14
四家的共識
前面那一段留給自己,後面可以交出去
產影片的工具很多,把關品質的工具也很多。初期為了快,直接用第三方沒有問題。真正不該外流的是前面的劇本與創意。
四家都把最重的力氣放在前面那一段
華策 不把劇本丟進外部 AI,那等於把百科全書給了別人的模型。寧可讓自家編劇先用手稿篩一次。
愛奇藝 劇本評估 2018 年就在內部使用,專案要進製作必須先過這一關。
九州 AI 直出的上限就是基座模型的上限,大概八十分。真正拉開差距的是故事。
娃娃魚 不是無腦丟給 AI。哪個環節該用傳統做法就拆回來做,下面每個人對 AI 是驗收者。
他們找人、訓練人、辦學校,也都是為了這一段。
所以可以這樣切
前段的劇本、創意、判斷留在自己手上,後段的生成、剪輯、對嘴、翻譯交給第三方。
後段的工具已經成熟而且便宜,愛奇藝有 API、輸出走 CDN,720P 一塊人民幣一秒。
這樣至少創意的過程不會整段流出去。
我們已經測過這一段,也因此看到問題
我們把已經拍完的戲的劇本丟進
纳逗Pro 分析,結果跟先前專業人士的分析角度接近。
這證明前段的判斷確實做得起來。但那次測試也是把我們的劇本送進了別人的模型,正是第 7 頁的風險二。
越證明這一段有價值,越不該長期把它送出去。
這是目前看到最具體的一個切法。要不要採用,仍然回到最後一頁那四件事。
15
B 站 純平台
唯一的平台方建議我們做平台
B 站是這趟五家裡唯一不自製內容的純平台。席間我方問了 AI 短劇出海該走哪一種模式。
「我覺得對於像咱們 TVBS 來說,可能還是做平台會比較好。如果只是說內容製作,其實可能能賺錢也賺不了太多錢,就意義不是太大。」
bilibili
他給的理由
台灣現在沒有本土的短劇平台。兩邊語言是通的、文化也是通的,內容可以直接引進上架,不必另外再做一次。
台灣觀眾的付費習慣
大陸觀眾已經習慣抖音、紅果那種免費看、中間忍受十幾秒到三十秒廣告的模式。台灣這邊免費看劇的習慣也比較強。
現在台灣的主流是 ReelShort、DramaBox 和 YouTube。
DramaBox 的做法是先把三分之一放上 YouTube 賺廣告分潤,後段再把人導回自己的 App,等於拿 YouTube 當行銷通路。
但這條要對照著看
這是平台方對平台生意的看法,而且是餐敘場合。它對應的是第 1 頁的第三題,不是這份報告的結論。
另外我方現場問 B 站上的 AI 內容表現有沒有跟上真人劇,對方回答還沒有。
16
我方回覆
一個月可以先交出這些
方向還沒拍板之前,這些事不受影響,可以現在就動。實際產過一輪才能確認流程瓶頸與品質。
附註:對方保留了客製的空間
現場問愛奇藝有沒有端對端的解決方式時,對方表示目前沒有現成的,
但「如果要做,我們可以專門開發一個機制…你們有需求可以提過來可以做」。
合作模式不限於直接使用現成工具,可視需求提出。
現場問到的成本
生成約
三千到五千人民幣一分鐘,對方說五千那個等級「算是比較好的」。
一個鏡頭平均抽三次。
另外報了一個不抽卡的單價:
720P 一塊人民幣一秒。
台灣電視是 HD,1080P 就夠,不必做到 4K。
這兩個數字是不同的東西,前者含抽卡與較高規格,後者是單次生成。估預算要分開算。
產的時候順便做一件事
記錄生成次數。此為我方的成本基準,無論後續是否自建工具皆可沿用。
四件事拍板之前,這幾項可以先動
先產一批,同時記錄生成次數。
編劇的環節先做透,做的是把判斷拆成模組,不是找更多編劇。
談的時候把「授權部署、資料留自己」當第三個選項提出來。
回覆愛奇藝,把我們要的機制講清楚。
這一批產出來,第 1 頁那四件事才有東西可以拿來討論。
01
We can build the tool. What it should be depends on what we sell.
We saw all four toolsets on this trip. Nothing there is beyond us technically. The difference is the spec, and the spec follows from direction.
The question is not whether to build our own tool. It is what the tool is being built for. Until the purpose is defined there is no spec.
- 1Q1 · Quality No secret sauce; the difference is the skills
The process is the same as ours. Everyone reaches the same models and the shell is not hard to build. The ceiling on quality is the judgement written into the skills. (pages 4, 6)
- 2Q1 · Quality Quality is set by the script, not the picture
All four put their heaviest effort into the script stage, which is exactly why that stage should not leave the building. (page 14)
- 3Q2 · Volume Their volume comes from headcount, not from the tool
Everyone’s heaviest strategy is the same: hand production capacity out to more people. iQIYI to outside creators, Wawayu to one-person studios, Jiuzhou to newcomers. (page 8)
- 4Q2 · Volume Cost attribution has to come before volume
More than eight in ten are discarded, and the unit cost of those discards decides the margin. Every generation must land on a named person. (pages 9, 10)
- 5Q3 · Overseas The opening is the marginal cost of extra languages
Huace’s localisation centre covers over 50 languages with capacity above 1,000 hours a year; Jiuzhou’s translation hub handles over a thousand titles a month. The back end is cheap, so extra language versions pay. (pages 13, 15)
- 6Across all three Use someone else’s tool and the bargaining power sits with them
And the spec was always derived from strategy. Until we settle what we intend to sell, the tool has no spec. (pages 5, 7)
So four things have to be settled first
- 1Polished, or fast short drama
Huace does premium, Jiuzhou does volume, and both make money. The difference is how they monetise. Settle monetisation and the quality route follows.
- 2Push for volume, or make something that represents us
- 3A content factory for internal products, or the leading short-video player in the region
- 4Invest harder, or hold cost down
The six conclusions map onto the three questions we went in with; the four items are what we need decided. The next page answers each question in full, and the pages after it show how we got there.
02
Our questions
The three questions we went in with
We had already built the full pipeline within a month and confirmed it produces video to a standard process; Champion has verified it runs. These were the three open questions we took with us.
One What are we missing on quality
The picture is not the ceiling. The story is. Jiuzhou put the ceiling of straight AI output at roughly the ceiling of the foundation model, maybe 80 out of 100, and said what actually separates work is the story. Wawayu said the same thing differently: it is not a mindless hand-off to AI; whichever stage still needs the traditional method gets pulled back out.
Do not generate 4K directly. iQIYI runs low resolution first to settle the take, then re-runs at 4K, and they say plainly that “re-running introduces some uncertainty”. A shot averages three attempts.
Lighting and grading have their own panels. That stage does not need to be solved by regenerating.
pages 5, 13
Two How to scale up to real volume
Their volume comes from headcount, not from the tool. Jiuzhou’s 200 a week runs on newcomers hired in bulk, which is exactly why the spec is “a newcomer must hit one usable take in two”. iQIYI’s 4,000 a day is published by outside creators, not made in house.
Cost attribution has to come before volume. Their hit rate is about 15%, so more than eight in ten are discarded, and the unit cost of those discards decides the margin. Every generation has to land on a named person.
What we lack is the supply of people. Their creator pool was grown on policy subsidy, and no tool makes up for that.
pages 7, 8, 9, 10, 11
Three Where else can we enter overseas
From the AI side, the opening is the marginal cost of extra language versions. Huace’s localisation centre covers over 50 languages with annual capacity above 1,000 hours; Jiuzhou’s translation hub handles over a thousand titles a month; iQIYI covers the major overseas languages including Korean, Thai and Spanish.
The back end is cheap, so extra language versions pay. 720P with no retries is RMB 1 per second, and Taiwanese television only needs 1080P. Adding language versions to one title costs less than expected.
What we would have to supply is the corpus. A Taiwanese accent is producible, but we provide the voice data.
pages 13, 15
All three answers point the same way: quality rides on the skills, volume rides on headcount, and overseas rides on the marginal cost of extra languages. None of the three is solved by buying a tool.
03
All four
Four routes, four sets of numbers
One industry, four routes. A different business sits behind each number, so each asks a different thing of its tool.
- Platform; builds tools and opens them to outside creators.
- This is what outside creators publish, not what iQIYI makes. iQIYI itself spends over RMB 20bn a year on content.
- Publishing needs no review. You apply and it goes live; personalised recommendation does the distribution. If audiences respond, it gets volume.
- Creator teams are usually three to five people.
- “There was very little before, very little last year.” This scale only appeared this year.
- ▸ The tool therefore has to: have zero barrier, so an outside team of three to five can finish and publish on their own.
- ▶ Reference work: Celestial Quest, the first title from the Bao Dexi · iQIYI AI Theatre. An 18-minute sci-fi short, with setup and storyboards done entirely in Nadou Pro. All 16 titles in that slate run under 20 minutes.
4–5 people, one title a month
- Traditional studio moving to AI, premium route.
- A director plus an assistant director, with the rest of the roles shared out. Their own assessment: “not fast, but we make premium work”.
- One title reached No. 11 nationwide with no paid traffic. Partway through they found a better approach and remade the first ten episodes.
- They do not put scripts into outside AI. Their writers screen by hand first.
- ▸ The tool therefore has to: hold their own tone, and keep scripts from leaving the building.
- ▶ AI reference work: nothing released and publicly documented. Their in-house models Youfeng and Guose are both state-filed; the AIGC drama Diji Ling has not aired.
Hangzhou 8/14Zhejiang Wawayu
4–5 titles / week
- Animation studio turned AI, low cost and fast.
- Capacity comes from one-person studios. Users never learn prompting; the platform flattens the complexity away.
- No in-house foundation model. Mainly Volcano: “you cannot get around Volcano”.
- Senior people sit at the front controlling quality. The back half is execution and sign-off, which scales quickly.
- ▸ The tool therefore has to: absorb the prompting, so people downstream only sign off.
- ▶ AI reference work: the title given is My Max-Level Multiclass God; no playable link found. Their site wawayu.tv is offline.
- Short drama, already overseas; ShortMax has volume in the US, Japan and Southeast Asia.
- Last year, shooting live action, it was 200 a month. Same company, same product. What changed is how it is made.
- Over 800 licensable vertical titles in library, 50 to 100 added monthly. “The new ones are basically all AI.”
- Their translation hub handles over a thousand titles a month. 200 a week is about 870 a month, so the two figures agree.
- ▸ The tool therefore has to: let a newcomer hit one usable take in two, and cost out every single generation.
- ▶ Overseas platform: ShortMax official channel. No single AI reference title is publicly documented; the sample shown on site is unconfirmed.
“Last year with live action we did about 200 a month. As of this year we can put up 200 in a week. That is entirely down to the technology, combined with AI.”
Jiuzhou Culture · translated
04
Jiuzhou the line they demonstrated
No secret sauce, just practice
A novel or premise comes in; script breakdown, shot breakdown, generation, editing, dubbing, publishing. The order, the stages and the places you get stuck are the same as ours today.
They hold no method we do not know. The difference is that they have run these stages many times and fixed the way they do them.
The production line Jiuzhou showed on site
Novel in → script → element extraction (scenes, character states, planted setups) → shot breakdown → shot inference → one-click assembly.
What they played for us was straight output with zero edits.
The pages that follow set out where the real difference lies.
So what holds us up will not be the technology. It is that the purpose is still undefined.
05
All four
Tool specs are derived from strategy
All four tools look different because all four businesses are different. The spec is not set by the technology. It is set by the business.
| Company | The business they are in | So the direction is | The tool therefore must | Demand on skills |
| Jiuzhou | Be a top player, and grow outright | High volume, 200 titles a week | Let a newcomer hit one usable take in two | Deepest. A dedicated team keeps refining the skills; internal algorithm work is split across several tracks |
| Huace | Premium work, licensing on quality | Four or five people, one title a month | Hold their own tone | Narrow and deep. Only solves their own tone; frontline staff name it and the coders write it |
| Wawayu | Sell production management to others | The customer is an outside team, not themselves | Absorb prompting so people only sign off | Must swallow the prompting. Users never touch a parameter, they only judge pass or fail |
| iQIYI | Run a platform supplied by creators | 4,000 outside titles published a day | Zero barrier, with creative still led by people | Broad and shallow. Script through marketing, every stage covered, every one usable by a beginner |
Jiuzhou is the clearest case
“Early on the average was
one in three, and that made you a draw specialist. This industry never had professional draw specialists; everyone was new.”
“With 2.5 we can get
one in two. The day we get to
one in one, that will be something.”
A newcomer hitting one in two is a spec derived from “200 titles a week”. It was not reasoned up from what the model can do.
Huace named the industry norm
The one thing nobody shares is how the skills inside the tool are written. That is the only value these tools hold.
What sits in those skills is each company’s strategy, which is exactly why it never leaves.
So our spec has to be derived from what we intend to sell. Until that is settled, there is no spec to derive.
06
All four
The core is the skills, not the tool
Everyone can reach the same models, and the shell around them is not hard to build. What these four actually cultivate, and never release, is the skills inside the tool.
They are blunt that the models are shared
Wawayu No in-house foundation model; mainly Volcano, and “you cannot get around Volcano”.
Jiuzhou “The ceiling on straight AI output is roughly the ceiling of our foundation model, maybe 80 out of 100.”
We can reach the same models, so the gap does not open up here.
What they cultivate instead is the skills
Huace “I know where our tone lives, so our coders go and solve for our tone.” Every AI drama team in the group now runs the same set.
Jiuzhou A dedicated team works on refining the skills; internal algorithm work is split across several tracks.
Wawayu “We do not eat off the model. What we eat off is this management layer. The stronger the model, the stronger this gets.”
Senior judgement→written into the skills→
senior staff leave→newcomers take over→output holds at 200 a week
The senior staff who first wrote Jiuzhou’s judgement into the tool have left. The tool stayed and still runs with different people operating it. The judgement settled into the skills, not into the people.
“The one thing nobody shares is how the skills inside the tool are written. That is the only value these tools hold.”
Huace Media · translated
So the question is not whether to build our own tool. It is who writes the skills, and who they are written for.
07
Our criteria
Four risks to weigh before using a third-party tool
Risk one
Bargaining power passes across
With an outside tool we can produce but we cannot adjust the tool.
Not knowing how it works, we can only wait for them to change it. Pricing and terms sit with them.
Risk two
Scripts leave the building
Huace does not put scripts into outside AI. Their phrasing: that is handing your encyclopaedia to someone else’s model.
They would rather have writers screen by hand than save that time.
Wawayu’s Malaysia deal offers a third option: deploy the whole system locally, on our own servers.
That is worth putting on the table in any negotiation.
Risk three
Regulation blocks the content
Ideas hit regulatory limits and simply will not generate. Wawayu offered two routes: apply for a whitelist, or wire in a different model,
including bringing in a Taiwanese one.
But unrestricted access is a different order of cost. The unrestricted Seedance build in the US runs USD 7 per second.
Mainland rules also require AI-generated content to carry an AI label.
Risk four
Cost cannot be attributed
Copy the fast output without a cost mechanism and cost gets away from you.
Spend scales with volume and cannot be traced back to individual titles.
They use credits for this; the mechanism is on page 9.
None of the four is unacceptable, but we should know what we are accepting, and which part must not go out with it.
08
Where all four align
All four are handing production capacity outward
Everyone’s heaviest strategy right now is the same one: let more people produce. They differ only in who they hand it to.
| Company | Who produces | How the barrier comes down |
| iQIYI | Outside creators, 4,000 titles published a day | Tools opened up, no review to publish, internal script evaluation released outward |
| Wawayu | The OPC one-person-studio community | Prompting absorbed so users only sign off; parks, desks, school partnerships |
| Jiuzhou | Newcomers hired in volume | In-tool guidance and prompts, a 7×24 help group, a live exercise at interview |
| bilibili | Creators on the platform | It was a UGC ecosystem to begin with |
iQIYI has turned this into physical investment
“We very much want to get creator production right, and we are running creator services at every kind of event.”
A creator conference in Beijing on 20 August.
“We have built creative centres all over the country. There is one upstairs. Shanghai, Beijing, Wuhan, Shenzhen, and Hong Kong is being built now.”
Jiuzhou on where the barrier has to sit
“There is no barrier to it, the logic is very simple. Why did Douyin succeed? Because it is simple.”
200 titles a week → there are not enough experienced hands, so the people will be new →
the spec becomes “someone who does not know how must still be able to finish”
What they are scaling is not output. It is the number of people who can produce. If that is not what we intend to scale, our spec looks completely different.
09
iQIYI platformJiuzhou aiming to be a top player
Credits are how they hold generation cost down
Team credits=generation budget→
spend less+earn more=bigger bonus
Each team gets a pool of credits, and credits are what generation costs. Spend and revenue feed straight into the bonus.
“Inside our teams the credit allocation, the monitoring, looking at output per head, running the team — it all helps, and it helps a lot on cost.”
iQIYI · translated
The chain
Eight in ten titles will be discarded → cost has to land on named people →
the spec becomes “every generation is attributable to a person and a title”
Jiuzhou built this down to a compute gateway: every compute channel wired in, two consecutive failures on a channel switch traffic to a more expensive one,
billing down to the team, quotas per person, no team quota but risk alerts instead, and performance calculated as output minus cost.
Why this is worth copying
AI generation cost is hard to hold because you cannot predict how many attempts a success takes. They turned it into a number that can be reviewed, and teams that spend less earn more. This mechanism does not depend on which tool you use and does not wait on building anything, so it can start now.
This spec is independent of what we sell, so doing it early is never wasted.
10
Jiuzhou winning on volume
Fewer than two in ten get traction
“In this industry, out of a hundred titles tested maybe twenty are stories that break out. Not every story we ourselves rate will break out. Twenty per cent — for our house that counts as very high in this industry.”
Jiuzhou Culture · translated
Four numbers came up in the same session, and they are not the same thing
20% Jiuzhou’s own figure, which they call very high for the industry.
15% Their actual current hit rate.
10% The KPI floor the algorithm leads set for production teams: 100 titles a day, ten of them must land.
20,000 “Landing” is defined as roughly 20,000 organic views.
So what 200 titles a week actually means
At their current 15%, about thirty of those 200 get traction. The rest are discarded. That is a designed condition of the model, not an accident.
Which is why the unit cost of the discarded 170 decides the overall margin. This is where the credit mechanism earns its place.
The chain
Win on volume → you must absorb an 80% discard rate →
the spec becomes “cheap enough to throw away”, not “polished enough that it cannot fail”
Traditional television production tolerates far less failure than this. Taking this route requires agreement with finance first.
If we are going premium, this spec inverts. Settle the direction first, then we know which one we need.
11
Wawayu selling production managementHuace premium work
The creator supply is built on policy subsidy
Both Wawayu and Huace run their own training and industrial parks. The policy detail below is public information gathered after the meetings, not something said on site.
| Policy | Detail |
Shanghai “8 Measures” 2026.05 |
AI plus micro-drama pilot base, subsidy up to RMB 10m. First time one-person companies appear in policy. |
Shenzhen AI OPC programme 2026–2027 |
Over 500,000 m² of one-person-company community space by end 2027. Million-RMB subsidies in Nanshan, Longgang and Longhua. |
Company Law amendment 2026 |
Removes the limit of one company per person. One-stop online registration, with company seal and tax hardware provided free. |
| Tax |
VAT exemption below RMB 100k monthly sales. Effective rate of 5% for micro enterprises. |
| Provincial micro-drama incentives |
Jiangxi: lump sum plus up to 20% of annual investment. Hunan at million-RMB level. Guangdong RMB 300k to 500k. |
Setting up parks and training institutions collects the subsidy, trains the creators and secures the content. All three are one design.
The chain
Their labour supply comes from subsidy and parks → we have none of that →
our tool has to make up the gap by “doing the same volume with fewer people”
A tool only covers that part. Creator supply has to be solved separately.
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All four
The method transfers, the headcount does not
Transferable
- Writing senior judgement into the tool
- Credits tied to bonuses as a cost mechanism
- Breaking narrative frameworks into reusable modules
- Having both sides’ writers work together before committing, and walking away if they cannot
Not transferable
- A pool of six or seven thousand creators
- Supply created by subsidy, tax treatment and regulation acting together
- Mainland labour costs
- The years they spent on research
Any plan premised on acquiring thousands of creators is not viable in Taiwan.
The chain
Headcount does not transfer → only judgement does →
the spec becomes “turn senior judgement into something a newcomer can use”
So the spec is about output per person, not total headcount.
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Our criteria
Before deciding whether to build, look at what the tool amplifies
None of the four earns its revenue from the tool itself. The tool amplifies an existing asset. So we first have to be clear on what we would be amplifying before build-or-buy means anything.
| Company | What they already had | What the tool amplifies |
| iQIYI |
Platform and traffic. Over RMB 20bn a year on content, with an internal hub taking scripts.
Over 200 core IPs, talent and digital assets connected pre-trip research |
Opening the internal script evaluation system outward, so creators publish 4,000 titles a day onto the platform. |
| Huace |
International distribution. English, Russian, French, Spanish plus Vietnamese, Thai and Indonesian, with social reach over 600m.
C-dramaRights covers 102 countries; 50,000 hours of owned library pre-trip research |
AI localisation and a multilingual workflow, selling existing content into more language markets. |
| Jiuzhou |
The ShortMax overseas channel, plus their own UA traffic workflow. |
Raising output to 200 titles a week to supply their own channel. |
| Wawayu |
A production hub they built themselves, dating back to their traditional 2D era.
25 years in animation, peak team of 270 pre-trip research |
Converting to AI comic drama, and selling the whole system into Malaysia. |
Without an existing asset to amplify, the return on introducing a tool is limited.
So the answer is not in the tool. It is in what we intend to amplify. Until that is settled the tool has no spec.
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Where all four agree
Keep the front end, hand out the back end
There are plenty of tools that generate video and plenty that check its quality. Early on, using third-party tools for speed is fine. What should not leave is the script and the creative work in front of it.
All four put their heaviest effort into the front end
Huace Will not put scripts into outside AI; that is handing your encyclopaedia to someone else’s model. They would rather their own writers screen by hand first.
iQIYI Script evaluation has been in internal use since 2018, and a project must clear it before entering production.
Jiuzhou The ceiling on straight AI output is the ceiling of the foundation model, around 80 out of 100. What actually separates work is the story.
Wawayu Not a mindless hand-off to AI. Whichever stage still needs the traditional method gets pulled back out, and everyone downstream is a checker of the AI.
Their hiring, their training and their schools all exist for this stage.
So the split could run like this
Script, creative and judgement stay with us. Generation, editing, lip sync and translation go to third parties.
Those back-end tools are already mature and cheap: iQIYI has an API, output lands on a CDN, and 720P runs RMB 1 per second.
At minimum the creative process does not go out as a whole.
We have already tested this stage, which is how we saw the problem
We put the script of a drama we had already shot through
Nadou Pro, and the read came out close to the professional assessment we had.
That shows the front-end judgement genuinely works. But that test also sent our script into someone else’s model, which is risk two on page 7.
The more valuable this stage proves to be, the less it should be sent out on an ongoing basis.
This is the most concrete split we have seen. Whether we take it still comes back to the four items on the last page.
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bilibili pure platform
The only platform in the room told us to run a platform
bilibili is the one company of the five that does not produce its own content. Over dinner we asked which model AI short drama should take overseas.
“For a company like TVBS I think running a platform is the better play. If it is only content production, you can make money but not that much money, so it does not mean a great deal.”
bilibili · translated
His reasoning
Taiwan has no domestic short-drama platform today. The language and the culture carry across, so content can be brought in and published directly without remaking it.
What Taiwanese audiences will pay for
Mainland audiences are used to Douyin and Hongguo: free viewing with ten to thirty seconds of advertising in between. The free-viewing habit is strong in Taiwan too.
The current mainstream in Taiwan is ReelShort, DramaBox and YouTube.
DramaBox puts the first third on YouTube for ad revenue share, then pulls viewers back into its own app for the rest, effectively using YouTube as a marketing channel.
Read this against the rest
This is a platform operator’s view of the platform business, offered over dinner. It speaks to question three on page 1; it is not the conclusion of this report.
We also asked whether AI content on bilibili has caught up with live action, and the answer was not yet.
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Our response
What we can deliver inside a month
None of this depends on the direction being settled, so it can start now. Only by producing a batch will we know where the workflow bottlenecks and whether quality holds.
Note: they left room for customisation
Asked on site whether iQIYI had an end-to-end solution, they said there is nothing off the shelf today,
but “if it needs building, we can build a mechanism specifically… put the requirement to us and it can be done”.
Working with them is not limited to using what already exists.
Costs we obtained on site
Generation runs roughly
RMB 3,000 to 5,000 per minute, and they described the RMB 5,000 tier as “the better end”.
A shot takes about three attempts on average.
They also quoted a single-pass rate with no retries:
720P at RMB 1 per second.
Taiwanese television is HD, so 1080P is enough and 4K is unnecessary.
These two numbers are different things. The first includes retries and higher specification; the second is one generation. Budgets have to treat them separately.
One thing to do while producing
Record the number of generations. That is our own cost baseline, and it holds whether or not we later build our own tool.
These can start before the four items are settled
Produce a batch and record the generation counts.
Work the writing stage through properly, breaking judgement into modules rather than hiring more writers.
Put “licensed deployment, data stays with us” on the table as a third option in any negotiation.
Go back to iQIYI and state clearly what mechanism we want.
Once that batch exists, the four items on page 1 have something concrete to be argued over.