創造者經濟革命：視頻流，AI算法和海嘯

探索AI算法如何塑造品味，創造者倦怠的興起以及如何為可持續創造者經濟提供了一條途徑。

The creator economy is undergoing a seismic shift, driven by the convergence of video streaming, AI algorithms, and innovative monetization models. But is it a sustainable ecosystem? Let’s dive in.

由視頻流，AI算法和創新的貨幣化模型的融合驅動的創造者經濟正在經歷地震轉變。但這是一個可持續的生態系統嗎？讓我們潛水。

The Algorithm's Grip: Shaping Taste and Driving Burnout

算法的抓地力：塑造口味和駕駛倦怠

For the past 15 years, video streaming has been sculpted by recommendation systems. YouTube, Netflix, TikTok—they all use algorithms to maximize watch time. But this precision comes at a cost. As Adrián Garelik, CEO of Flixxo, points out, these algorithms actively mold user preferences, favoring sensational hooks over nuanced storytelling. The result? A content landscape that risks becoming increasingly homogenized. According to a 2022 Awin/ShareASale Creator Burnout Report, a staggering 72% of creators experience burnout tied directly to algorithmic demands. Creators feel pressured to conform, leading to a loss of joy and a decline in well-being. It’s rough out there!

在過去的15年中，推薦系統雕刻了視頻流。 YouTube，Netflix，Tiktok - 他們都使用算法來最大化觀看時間。但是這個精度是有代價的。正如Flixxo首席執行官AdriánGarelik指出的那樣，這些算法積極塑造用戶的喜好，而不是轟動的鉤子而不是細微的講故事。結果？一個有可能變得越來越勻漿的內容格局。根據2022年的AWIN/股票創作者的倦怠報告，驚人的72％的創作者經歷了直接與算法需求有關的倦怠。創作者感到壓力要符合，導致歡樂和幸福感的下降。那裡很粗糙！

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