I’m 19, and I’ve watched more than 200 brands quietly give up on influencers

I’m 19, and I’ve had an odd seat for the last couple of years of the creator economy. My company runs a marketplace that connects consumer brands with creators, and it’s grown to more than 200 brands. From that seat, I keep watching the same thing happen: companies walk in expecting to pay for reach, and then very quickly start paying for something else entirely.

For about a decade, marketing on social media ran on a single move: find the biggest creator you can afford, pay for a post, and cross your fingers. That approach is fading. Influencers still work fine. What broke is the economics underneath them, and that’s the interesting part for anyone building in this space.

The brands growing fastest on my platform aren’t putting more money into fewer, bigger names. They’re putting it into volume. They’ll run dozens of authentic, creator-made videos in a month, test them against each other, and push the winners as paid ads. This isn’t influencer marketing. It’s performance creative sourced from real people, used as advertising raw material.

The logic is obvious once you’ve stared at the ad account behind it. A single influencer post is one expensive bet you only get to place once, and if it misses, the money is gone, and you’ve learned nothing. A batch of UGC is a set of small experiments. Each piece generates data: which hooks work, which product angles sell, which creators convert. You’re not buying exposure anymore. You’re buying a feedback loop.

This is the part most people get wrong, and I say it having built a business on it. The constraint here isn’t the supply of creators. There’s never been more talent looking for work. The constraint is matching: getting a creator who genuinely understands a product in front of the right brand, and doing it fast enough and cheaply enough that a brand is willing to test fifty clips instead of agonizing over one.

Sourcing creators, though, is only the front door. It’s the wedge, the obvious painful thing that gets a brand to sign up in the first place. The real product is a system that runs a brand’s whole creative operation for it. Picture the full loop. A brand drops a brief. The system matches it to the right creators. Content comes back. Someone reviews it, edits it, formats it for ads, tests it, reads the results, and sends the winning angles back around for the next batch.

That closed loop, good creative in, ad data out, better creative in, is the whole thing, and it happens to be exactly the kind of repetitive, data-heavy work that AI agents are starting to be able to handle. The founder sets the goal and the guardrails. The system handles the velocity. It’s a version of the future where the hard part isn’t talent or technology. It’s building the infrastructure that connects them fast enough.

None of this is as glamorous as the first chapter of the creator economy, the one that turned a handful of people into household names. The next chapter is quieter. It’s going to make a lot of brands more efficient, through better matching, better tooling, and loops that learn. It will probably make the average creator less rich but more consistently employed.

The old scoreboard of follower counts and reach and “engagement” is going to matter less every year. The brands that win the next few years won’t be the ones with the biggest ambassador. They’ll be the ones that can put a hundred honest pieces of content into the market, see what happens, and adjust faster than the competition.

I’m obviously biased. I’ve bet my early twenties on being right about this. But you don’t have to take a teenager’s word for it. You can just watch where the ad budgets are moving. They’re going toward whatever helps a brand learn, fast, what its customers actually respond to, and that is not a celebrity selfie.