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Zhou Wenqiang's AI Advertising: From Understanding a Client to Delivering a Film

What requirements, scripting and revisions produce an AI advertisement a customer accepts? Reporting about Zhou Wenqiang prompts analysis of creative judgment, order channels and delivery records beyond generated images, including skills and costs prospective providers must establish before quoting.

Chinese edition published 16 Oct 2026 · 阅读中文原文 ↗

Source timing2026-06-08
AI-generated photographic-style startup scene: a creator and video-editing workstation in an advertising studio.
AI-generated scene illustration · Advertising studio

A People's Daily report described the advertising work of Zhou Wenqiang, a visual-communication student at Zhejiang University of Science and Technology. Republished on the Cyberspace Administration of China website on June 8, 2026, it said he refined copy around customer ideas and generated visuals using tools such as Kling. This concerns that student entrepreneur, not others sharing the name.

The reported customers needed advertisements for small and micro businesses. The account also described Wenzhou's Kongshanzhu platform providing technical support and order connections for one-person companies. This is part of the operating context; omitting it would wrongly attribute all progress to generation tools.

Editorial analysis: customers commission a film expressing product and brand intentions. Generated images are intermediate work. Clear requirements, coherent storytelling and suitable visuals affect acceptance. Visual-communication experience may help translate abstract requests into production tasks; this is workflow-based interpretation.

Readers can list briefs, scripts, storyboards, generated assets, edits and acceptance records, then identify human and AI contributions at each stage. This is our research framework. The report neither disclosed the full project process nor established that Zhou used this framework.

Per-order length, price, revision rounds, tool fees, channel shares and net profit were not disclosed, and all collaborators were not verified. The case helps explain a delivery approach but cannot yet establish a newcomer's average order value, returns or payback period.

Sources and editorial notes

Research date and source cutoff: 2026-10-16. Independent organization and analysis of public reporting, without interviewing the person. Business information applies to the reporting period; no company-registration, personnel or financial audit was conducted. AI assisted research and writing; original text was organized independently within these verification limits.

Source titles and publisher names are retained in their original language. Refer to the linked originals for official documents and current requirements.

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