OpenArt building TikTok for AI
Coco Mao, CEO of OpenArt, on building the TikTok for AI video
The real opening is not better AI video tools, it is a new content format that legacy feeds cannot easily absorb. OpenArt is moving from image generation into automated visual storytelling, where the product writes the script, builds storyboard frames, turns them into clips, and keeps characters consistent. That stack matters because incumbent social apps mostly add AI to existing short video, while a native platform would change what viewers do, not just how creators make it.
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OpenArt is positioning for people who have an idea but not a production workflow. Its product automates script writing, storyboard generation, video creation, and editing, which is closer to a finished movie pipeline than to a single text to video prompt box. That is the product foundation needed for branching stories, personalized scenes, and other interactive formats.
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The market is splitting in two. Foundation model products like Sora and Runway give power users fine control clip by clip, while OpenArt and similar apps simplify the whole workflow for creators and SMBs. A format shift would favor the company that owns the full creation system and reusable assets like characters, templates, and story structure, not just the raw model.
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There is precedent for format changes creating new winners. Cheap browser recording and webcams helped create Loom style business video, and vertical short video created new social behavior on TikTok, Reels, and Shorts. In the same way, AI is making video cheap enough for every viewing session to become partly generated, personalized, or choice driven instead of fixed.
The next wave in AI video will be won by products that control both creation and consumption. As generation gets cheaper and more reliable, the durable platforms will be the ones that turn text, characters, voice, and audience input into living media formats that legacy feeds can imitate only as add ons.