- 플랫폼
- 스냅챗 스포트라이트
- 변경
- 완전 AI 생성 콘텐츠에 대한 보상 중단
- 영향 대상
- 크리에이터 수익 배분
- 핵심 기준
- AI 사용 여부가 아니라 ‘사람의 기여’ 유무
Snapchat has stopped paying out for fully AI-generated content on Spotlight. It's a case of a platform explicitly adjusting its revenue-share criteria for AI content.
Not a Ban on AI — a Ban on ‘Fully AI-Generated’
The wording needs to be read precisely. This isn't a rule against using AI — it's a refusal to pay for content that's AI-made from start to finish. As long as human contribution remains at any stage — editing, filming, planning, or direction — the content still qualifies.
| Production method | Eligible for payout |
|---|---|
| Filmed footage + AI editing/subtitles/color correction | Eligible |
| Human-planned content combining/directing AI-generated sources | Eligible |
| Finished video made from a prompt alone | Excluded |
| Mass uploads from an automated generation pipeline | Excluded |
The line isn't always clean. If a human only added subtitles to an AI-generated video, which side does it fall on? In practice, the deciding factor becomes whether the production process can be documented.
Why Platforms Are Drawing This Line
Reward programs operate as a fixed pool split among participants. As more people join, each person's share shrinks. If content whose production cost is effectively zero floods in without limit, the pool itself collapses.
| Factor | Before AI | After AI |
|---|---|---|
| Cost per piece | Time, equipment, labor | Nearly zero |
| Uploads possible per day | 1-2 per person | Hundreds |
| Distribution pool | Fixed | Fixed |
| Result | Balanced | Per-piece payout collapses |
This move is less about a content-quality debate and more about economic design. If genuine creators leave, the platform dies along with them.
Other Platforms Face the Same Pressure
YouTube, TikTok, and Instagram are all in similar situations. Across the board, the standard is shifting from asking "was AI used?" to "what did a human add?" The shared goal is to filter out fully automated output while keeping AI-assisted production alive.
At the same time, disclosure requirements are also increasing. On platforms that require labeling of generative content, failing to label it can itself be grounds for penalty. Reward criteria and disclosure requirements are separate rules, so both need to be checked.
How Creators Should Respond
- Preserve and document human contribution. Raw footage, editing timelines, planning notes — these become evidence if you need to appeal. Not deleting project files is essentially an insurance policy.
- Keep AI in the role of a tool. Using it for parts of the process — source generation, color correction, subtitles, translation — doesn't run afoul of the criteria.
- Check each platform's disclosure rules separately. Reward criteria and disclosure requirements are different rules.
- Shift from volume to per-piece quality. Strategies that monetize through mass production are being shut down.
- Don't concentrate your revenue on one platform. A single rule change can invalidate an entire pipeline.
Summary
Approaches that use AI to lower production costs while layering on human judgment now have a relative advantage. Spending time on parts that are hard to automate — planning, structure, editing — while offloading repetitive work to AI is the safer arrangement on both compliance and quality fronts.
Source: Reported by TechCrunch. Detailed review criteria have only been confirmed to the extent Snapchat has disclosed.