When AI Meets Influencer Marketing: A US$32.6 Billion Game of Finding, Counting, and Creating

A little while ago, a friend who works in branding was venting to me.

She said her company had given her a budget this year and told her to run an influencer campaign. She opened the dashboard, and tens of thousands of accounts sat in front of her — follower counts, engagement rates, pricing, tone — all of it to be sifted through one by one. She spent three days screening, her eyes blurry, and still hadn't found ten good fits.

I said, why don't you use an AI tool to help? She froze for a second, then said: that stuff — does it really work?

It really works. And it's not just her. Worldwide, the number of people using AI tools was 116 million in 2020; by 2025, it had climbed to 379 million. That's more than a tripling in just five years.

What are all these people using AI for? Writing copy, making images, editing video, finding influencers, predicting which topic will blow up next week. And one area of it is especially buzzing.

Influencer marketing.

Why this one? Think about it. Influencer marketing is, by its nature, perfectly built for AI to come shake things up.

The Whole Game of Influencer Marketing Is "Finding People"

What is influencer marketing?

Plainly put: a brand spends money to find the right person, on the right platform, saying the right thing.

Where's the hard part? In the "finding."

A beauty brand wants to launch a new product — who do they pick? The one with the most followers? Not necessarily accurate. The one whose tone fits? How do you quantify that? The one whose rate is reasonable? Who's doing the price comparison? In the past this relied on connections, on experience, on luck. A media buyer screening 50 accounts a week was already considered diligent.

Once AI walks in, the game changes.

In 2024, Statista ran a survey asking a group of marketers around the world: what do you use AI for in influencer marketing? The top answers, you guessed it, were all about "finding people" — identifying the right influencers, targeting relevant content, distributing assets, predicting trends, auto-generating content, optimizing placements.

You see, the screening process shifted from "going by feel" to "going by data."

Behind this is a US$32.55 billion market. In 2025, that's how big the global influencer-marketing pie was. With that much money moving, who wouldn't want to find their targets more accurately?

Doing the Math: What Does AI Actually Bring?

But you can't judge whether something new is good by listening to the sellers. You have to hear from the ones paying.

In a 2025 industry survey, the companies that had already folded AI into their influencer marketing — most of them gave this feedback: the results, genuinely improved.

Note: "improved," not "disrupted."

Let me do the math for you. An influencer campaign used to take a team two or three weeks of busywork — screening, negotiating, overseeing execution, and doing the debrief. Once AI automates the screening and content distribution, that same workload can be compressed into a few days. What gets saved? People's energy — so they can do the things AI can't, like grabbing a coffee with an influencer and talking through what this collaboration is really meant to convey.

AI doesn't make the decision for you. It does the grunt work that comes before the decision.

Marketers actually buy this judgment. Among the 2024 respondents, the number-one strategy for rolling out AI inside an organization wasn't buying tools, wasn't hiring outside help — it was training courses and workshops.

Teach the people first, then talk about the rest. That, to me, sounds like a very grounded approach.

But Everything Has a Flip Side

AI is this great — so is everyone using it, everyone daring to use it?

No.

In 2025, Statista asked another group of marketers: what's mainly blocking you from using new AI tools? The answers were strikingly practical — don't know how, don't know which ones are reliable, afraid the generated content will backfire, can't get budget approved, the team has no time to learn.

You see, what stands in the way is never the technology itself. It's people. It's the organization.

Even more telling is another set of numbers. In 2024, a sizable share of marketing professionals worried that AI might come for their jobs. There's no shame in that worry — anyone who sees a tool finish in three seconds what takes them three hours is going to feel their heart skip a beat.

But look at what the people actually using it say. They don't treat AI as an opponent. They treat it as a shovel. A shovel won't strike gold for you, but it'll let you dig a little faster.

The Consumer Is the Real Judge Here

Talk this far, and you might say: brands and influencers throwing their own party — what's it got to do with consumers?

A lot.

Brands use AI to make content, use AI to pick influencers, but the ones footing the bill are consumers. What do they actually think about all this? Surveys across several quarters from 2023 to 2024 show consumers' concerns are very concrete — they don't want to be fooled, they don't want to be unable to tell which line was spoken by a person and which by a machine.

So you see, as early as 2023 there was already a debate: when brands use AI-generated marketing content, should they have to tell users clearly? Should they have to label it?

There's no standard answer to this. But the trend is clear: transparency is shifting from a "nice-to-have" to a "non-negotiable."

The brands consumers in 2024 considered "likely to use AI" — whether people buy what they're selling usually doesn't depend on how flashy their AI is. It depends on how openly they admit AI is there.

In the End, This Is About Trust

After I went through these numbers and surveys one by one, my biggest takeaway wasn't "wow, AI is incredible."

It was this.

Influencer marketing, in the end, is a brand borrowing an influencer's voice to build trust with consumers. AI makes it faster, more accurate, cheaper. But the word "trust" has never had a shortcut, and no algorithm can mass-produce it.

Statista laid out this whole set of numbers — market size, how marketers use it, how creators feel, consumer attitudes — the US$32.55 billion market, the user base growing more than threefold, the "results improved" feedback. They're all telling the same story:

Tools are upgrading, rules are being rewritten, but that genuine human-to-human connection is still the most expensive thing in this business.

Maybe next time you scroll past a piece of content that really strikes a chord, you can think for one extra second: who made this, using what, and what do they want me to feel?

That question, AI still can't answer.