Now even UGC (User-Generated Content) can be AI-generated—not the plastic-looking virtual streamers, but 'real human' ads that can fool algorithm recommendations.

Google's Nano Banana model solves the most challenging issue in AI-generated content: character consistency. The same virtual persona can consistently appear in different scenarios, holding your product with various 'authentic' reactions. Paired with MakeUGC's automated pipeline, the entire process is like turning on a faucet in a digital sweatshop:

1. Upload product images

2. AI generates 'human-like' showcase materials (infinitely adjustable)

3. Like/dislike to control quality

4. Auto-output final cut

Traditional UGC videos cost $500+ per piece, while this solution drives marginal costs down to nearly zero. The irony is that these 'virtual humans' may better meet advertisers' demands than real KOLs: never late, no scandals, and available 24/7.

Current limitations observed:

- Emotional expressions remain at the algorithmic understanding of 'human behavior'

- Legal ambiguity around whether AI-generated content requires disclosure

- New homogeneity crisis when everyone uses the same batch of virtual actors

This isn’t just technological innovation—it’s a restructuring of content production relationships. When 'real human endorsements' can be mass-produced on an assembly line, the only thing left truly 'U' (User) in UGC might be the user themselves.

(Note: Original post comments flooded with 'NANO' spam requesting tutorials, proving genuine demand exists.)