Real Creators or AI? Do the Math on These Three Ledgers First

A while back, I had dinner with a friend who runs an e-commerce business.

He looked exhausted. I asked what was going on.

His company's budget had been cut by 30%, he said, but his boss wanted twice as much content as last year. Product photos, short videos, product recommendation posts, product page copy… all of it, all of it fast.

Then he asked me: should I keep paying real creators, or just go all in on AI?

I told him it's not a one-sentence answer. But over one dinner, I could walk him through the math on three ledgers and make it all clear.

The First Ledger: Where Is the Market's Money Going?

First, let's get two terms straight.

What is UGC? User-generated content. Put simply, you let your real users and real creators speak for you. Filming an unboxing video, writing an honest review, recording their experience with the product.

What is AIGC? AI-generated content. Put simply, you let the machine do the work. Feed a topic into a tool like Jasper or Copy.ai, and it spits out a hundred pieces of copy in seconds.

One is human, the other is machine. Anyone making content today has to choose between the two.

Which one? I'm not rushing to a verdict. Let me first show you where the market's money is flowing.

In 2025, the global UGC market topped $7.6 billion. What does that mean? It grew 69% over the year before.

Whoa. 69%.

That same year, the AIGC market came in around $2 billion — also growing fast, at roughly 67%.

Both are surging. But notice: the UGC pie is nearly four times the size of AIGC.

And some analysts project that by 2027, the UGC market will climb to roughly $12.8 billion, with AIGC at about $3.3 billion. The gap? Still there.

There's an even bolder forecast: by 2033, 78% of all content online will be UGC.

See? The market has already voted with real money: AI content is growing fast, but the human content pie is bigger — and by a wide margin.

Why? That's what the second ledger is for.

The Second Ledger: Why Do Real People Win on Engagement?

Think about how you buy things.

A slickly produced ad, or a casual, honest review an ordinary user shot on their phone — which do you trust more?

Most likely the latter.

Why? Because an ad is "the seller talking," while a review is "someone just like me talking." Sellers praising themselves is only natural, so you take it with a grain of salt. When a peer praises a product, they have no reason to lie to you — so you believe it.

People are wired to trust their own kind.

Platform data backs this up. In the 2025 numbers:

On Instagram, UGC earns roughly 70% higher engagement rates than official brand posts.

On TikTok, UGC outperforms brand-made content by 22%.

On YouTube, UGC videos get nearly 10 times the views of brand videos.

10 times. You read that right.

One more set of numbers: 57% of young users prefer short videos shot by real people. And the creator economy as a whole is projected to be a $480 billion market by 2027.

So the second ledger concludes: when it comes to moving people, human content crushes AI content. AI can write smooth, coherent sentences. But smooth doesn't mean believable.

When users scroll past your ad, a wall goes up in their minds; when they scroll onto a real user telling their own story, that wall comes down.

The Third Ledger: Which One Really Costs Less?

At this point you might be thinking: then I'll go all in on UGC.

Not so fast. The third ledger is the one people get wrong most often.

Start with the unit price. In 2025, the average price of a single piece of UGC ran about $198, down 44% from the year before. Why the drop? More and more creators are entering the field; as supply grows, prices naturally fall. On average, brands spend only around $178 per UGC creator — an order of magnitude cheaper than hiring traditional influencers.

$198 a piece, and still falling. Cheap, right?

But don't forget the other bills.

The cost of finding people: vetting creators, negotiating deals, giving feedback — all time, and time is money.

The cost of managing: communication, revisions, chasing deadlines — a job that never ends.

The cost of rights: you've bought the content, but how are usage rights defined? Want to run it as an ad? That may cost extra.

The cost of quality control: real people are inconsistent by nature, so you have to check every single piece.

Add those four up, and the true cost of UGC is far more than $198 a piece. It's like adopting a cat: the cat itself isn't expensive — it's the food, the shots, and the litter box that keep costing you.

Now look at the AI side.

Up front, the investment is actually not small. Tools like Jasper and Copy.ai add up to a real yearly subscription bill, and someone on the team has to learn them, someone has to manage them. This is the cost of buying the equipment.

But once the equipment is bought? Marginal cost is near zero. Having AI generate its thousandth piece of copy costs almost the same as the first.

So UGC and AIGC are two completely different ways of paying: one is a steady trickle, the other is heavy up front and light after. And if you really compare payback speed, UGC is actually faster — human content drives conversions directly, while AIGC has to grind through an investment period and a learning curve first.

So How Do You Choose?

With all three ledgers done, the answer is already surfacing: this was never an either/or choice.

Let me give you two scenarios.

Scenario one: you're launching a new skincare product. Why would users trust you? Because your product page looks pretty? No. Because a real user holds the product on camera and says they've used it for a month and their skin genuinely improved. That kind of content, AI can't invent. It's not that AI can't produce the words — it can't fake the real. That's when you spend big on UGC.

Scenario two: a seasonal mega-sale starts next week. You need 500 product images, 200 product descriptions, and copy for 30 platforms, all live within a week. Real people? Not enough time, and you couldn't manage them anyway. This is exactly what AIGC was invented for: fast, reliable, and cheap.

See the pattern?

For emotional connection, go to real people. For speed and scale, go to AI.

Every time you plan a content budget, ask yourself that one question.

And mature brands almost all walk on two legs: AI handles the base layer — product descriptions, social media copy, all those "standard parts" go to the machine; real people handle the emotion — reviews, unboxings, testimonials, all those "trust parts" go to real users.

Two Legs, Two Sets of Trouble

But walking on two legs comes with two legs' worth of trouble.

Start with the human leg. A creator's greatest strength is authenticity; their biggest problem is unpredictability. The fix? The brief.

What's a brief? It's the task sheet you give a creator. A good brief pins down only two things: the destination, and the boundaries. Spell out the topic, the tone, and the red lines that can't be crossed; as for how to shoot and how to tell the story, let the creator do their thing.

It's like using GPS: you set the destination, but you don't pick the route for the driver. Dictate every turn, and the driver just follows orders — and that flavor of "real" is gone.

Now the AI leg. Its biggest problem is being almost human but not quite. The industry has a word for this: the uncanny valley — the closer something gets to looking human, the more a tiny gap makes people uneasy. Think of a wax museum.

How do you fix it? Regular audits. Every so often, pull the AI-generated content aside and go through it: Are the facts right? Is the tone right? Does anything read like "written by a human, but a bit off"? If so, go back and tune it.

Finally, whichever leg you're on, guardrails are a must: how rights are defined, who approves content, who's accountable when things go wrong. If those three things aren't nailed down, both legs will stumble.

Putting It to Work: Three Roles, Four Numbers

If you decide to walk on two legs, how do you build the team?

The best-performing teams I've seen basically have three roles:

One manages creators — finding them, keeping relationships warm, negotiating rights. They own the human-content line.

One manages AI — picking tools, setting the playbook, watching output. They own the machine-content line.

One manages quality. Human-written or machine-generated, everything passes through the brand's standard.

Clear ownership, no stepping on each other.

People alone aren't enough; you also need a dashboard. Watch four numbers: engagement rate, reach, conversion rate, and brand sentiment (when users mention you, are they praising you or roasting you?).

The data will tell you the truth. Plenty of teams find that UGC is a beast at building awareness and engagement, while AIGC is actually more efficient at acquisition and conversion. Your users aren't everyone else's users — the answer lives in your own data.

On the tooling side, platforms built to run this whole workflow already exist — overseas, there's JoinBrands, a one-stop shop covering everything from finding creators and issuing briefs to reviewing content and final delivery — and similar services are emerging in China too. The value of these tools comes down to one thing: driving down the cost of management. And remember — management cost is exactly the part of the UGC ledger that's easiest to undercount.

Back to That Dinner

At the end of that dinner, my friend asked me: so, what do you suggest I do?

I said: product descriptions, everyday copy — put AI on them today, and let it carry the load first. Take the money and people you free up and find twenty real users; have them tell the story of why they bought from you. Next quarter, put the numbers for both content types side by side, then adjust.

He pulled out his phone and started taking notes.

Once this clicks, you'll see that human content and AI content were never rivals.

They're a division of labor. Trust goes to real people; efficiency goes to the machine.

May you, too, spend your money in the right places — and make content that lands in people's hearts.