Been going through some 2026 industry data on content challenges agencies are facing, and almost every point maps directly to what we’re seeing in AI video specifically.
1. “AI sameness” is a video problem too, not just copy: Same avatars, same camera moves, same pacing — three in four marketers are already worried AI creative makes brands look interchangeable. In video, this shows up fastest, because a viewer clocks a “generic AI ad” in the first 2 seconds.
2. The bar moved from “does it work” to “does it have depth”: Concerns about off-brand tone are dropping — teams have gotten better at prompting. What’s replacing it: content that’s thin/generic doesn’t reflect real expertise. For video, that’s the difference between a technically clean UGC ad and one that actually feels like a real creator who knows the product.
3. Brand voice at scale now includes visual identity, not just tone-of-voice: When you can generate 50 variants overnight “on-brand” needs to be a documented system — approved visual style, pacing, character consistency — not something one senior editor holds in their head.
4. “Good enough” is losing value fast: Generation is cheap now. Volume and speed aren’t differentiators anymore — they’re table stakes. The bar for what actually earns attention just moved up.
5. Strategy is the real gap, not adoption: Most agencies have AI in the pipeline already. Fewer have a coherent point of view on when to use it, for which shots, and where a human still needs to direct the outcome.
The practical shift I keep coming back to, building Fabeo: human editorial work isn’t disappearing from video production — it’s moving from “polish the cut” to “decide what makes this one not look like everyone else’s”.
Curious how agencies are thinking about differentiation – as AI video tools get better and more accessible. would love to hear!