The creator economy is not a trend. At this point, it is infrastructure.
Goldman Sachs estimates the creator economy at $250 billion today with a projected path to $480 billion by 2027. Influencer marketing alone, the brand-facing slice of that broader ecosystem, crossed $21 billion in 2023 and has continued growing every year since. These are not niche numbers. They are the kind of numbers that show up in board presentations and capital allocation decisions of brands that were dismissing the creator channel entirely just five years ago.
The question for brands in 2026 is not whether the creator economy deserves serious investment. That debate is settled. The question is whether the infrastructure they are using to operate in it is built for the scale the market now demands.
How Big Is the Creator Economy, Really?
Different reports define the “creator economy” differently, which is why the numbers you see cited vary so widely. It helps to understand what each figure actually measures.
| Segment | Estimated Value (2024) | Source | What It Measures |
|---|---|---|---|
| Influencer marketing spend | $21B+ | Influencer Marketing Hub | Brand spend on creator partnerships |
| Creator economy (broad) | $250B+ | Goldman Sachs | All monetisation: merch, courses, platforms, brand deals |
| Projected (2027) | $480B | Goldman Sachs | Full creator economy at projected growth rate |
| Annual growth rate | 26%+ | Influencer Marketing Hub | YoY growth in brand influencer spend |
The influencer marketing figure, $21 billion, is the most relevant one for brand teams making budget decisions. The $480 billion figure reflects the full creator economy including platform revenue, merchandise, direct-to-consumer products, educational content, and creator-owned businesses. Both are real. They are measuring different things.
What matters for brands is that the $21 billion they are competing for in creator attention and partnership access is growing at over 26 percent annually. The brands that build effective infrastructure now are building on a channel that will be materially larger in two years.
What Got the Creator Economy to This Scale
The creator economy grew for structural reasons, not trend reasons. Consumers trust people over brands. That is not a new insight. What changed is that the infrastructure for monetising that trust at scale became accessible enough that a large class of creators could build professional businesses around it.
What the creator economy actually represents for brands is access to distributed trust: spread across thousands of creators, each with their own niche audience, each capable of making a brand recommendation feel personal rather than promotional. The economics of that trust are more favourable than almost any other channel when the creator-brand fit is right.
Three structural forces have driven and will continue to drive the creator economy’s growth:
Platform algorithm shifts have consistently moved organic reach away from brand pages and toward creator accounts. Every major platform update in the past five years has rewarded content-first accounts and penalised promotional-first ones. Getting organic distribution now effectively requires working with creators whose accounts the platforms are actively boosting.
Consumer media behaviour has fragmented across creator content in ways that traditional advertising cannot follow. Short-form video consumption, podcast listening, and newsletter readership are all creator-first channels where audience attention lives. The media budget question has shifted from “which publications do we buy?” to “which creators do our customers actually trust?”
Creator supply has expanded dramatically. The tools to produce professional-quality content have become accessible to anyone with a smartphone and an internet connection. The number of creators with genuinely engaged niche audiences has grown correspondingly, making the market more competitive for creator attention and creating more options for brands.
The Operational Ceiling That Limited Brands
Here is the problem that the creator economy’s scale created: running a meaningful creator program requires an operational infrastructure that most brand teams were not built to manage.
Finding the right creators takes time. Reaching out to them at volume takes more. Negotiating deals, delivering briefs, managing content review cycles, tracking payments, and building performance reports across a roster of thirty or fifty creators is a job that could easily occupy a dedicated team of three or four people full-time. For most brands, that headcount does not exist.
The result has been consistent and well-documented: brands with serious creator ambitions hit a ceiling determined by operational capacity rather than budget or strategy. They want to run bigger programs. They simply do not have the people to run them.
This is the specific condition that agentic AI was built to address.
Andrew Ng, Deeplearning.AI
Agentic workflows will drive massive AI progress. AI models run loops on themselves to check and improve their outputs, and this changes what is achievable from a given amount of compute.
Applied to creator marketing, that principle means the operational chain that previously required people to execute each step can be managed by agents that pursue campaign objectives autonomously, surfacing decisions for human review rather than requiring human input at every point.
Episodic vs. Continuous: The Model That Wins
The gap between brands winning in the creator economy and brands running creator programs without meaningful results often comes down to operating model, not budget.
Research from Influencer Marketing Hub consistently shows that brands running always-on creator programs outperform brands running episodic campaigns on brand awareness, purchase intent, and long-term audience growth. The performance differential is not small. It is the difference between a channel that compounds and one that resets with every campaign.
| Operating Model | How It Works | Outcome |
|---|---|---|
| Episodic | Discrete campaigns, gap between each, learnings rarely transferred | Resets each cycle; does not compound |
| Continuous | Ongoing discovery, outreach, content in parallel; data informs each cycle | Compounds over time; program gets smarter |
The reason most brands run episodic programs is not strategy. It is capacity. A continuous program requires someone to always be finding creators, running outreach, managing deals in progress, reviewing content, and processing payments. There is no pause. For a team without dedicated influencer marketing headcount, that level of sustained operation is simply not feasible manually.
Agentic platforms change this. When the operational chain runs through autonomous agents rather than human hands, the program can be continuous without requiring a team member to be continuously running it.
What Agentic Infrastructure Actually Enables
The practical difference agentic platforms make is not just faster execution of the same workflow. It is a different operating model entirely.
A brand running Scoop’s agentic infrastructure has its discovery, outreach, and deal management running continuously in the background. When the brand team logs in, they see a shortlist ready for review, deals at various stages awaiting approval, and content submitted for evaluation. The pipeline is always moving. The team is always in a position to make decisions rather than chase work.
Scoop is an AI platform that automates influencer discovery, outreach, and campaign management for brands. Its agents handle the execution layer that has historically consumed the operational bandwidth that should be going toward strategy, relationships, and creative quality.
The brands that build on agentic infrastructure now are the ones that will be positioned to run at the scale the creator economy’s next phase demands. The channel is not slowing down. The operational requirements of running a serious creator program within it are not getting simpler. The question is whether the infrastructure brands are using to meet that requirement is keeping pace.
What Brands Are Leaving on the Table
At $21 billion in annual spend and growing, the creator economy is large enough that underperforming in it has real commercial consequences. Brands running manual or semi-automated creator programs are typically operating at a fraction of what their budget could achieve if operational overhead were removed.
A brand that could run a meaningful micro-creator program at thirty creators per month is running eight because that is what the team can manage. A brand that could sustain an always-on strategy is running quarterly campaigns because continuous operation requires more bandwidth than the team has. A brand that could build a compounding creator program that learns from each cycle is starting from scratch with every launch.
The gap between what is achievable and what most brands are achieving is not a strategy gap. It is an infrastructure gap. And in a market growing at 26 percent annually, that gap gets more expensive every year it goes unaddressed.
