The first wave of the creator economy was built around distribution. Instagram, YouTube and TikTok gave anyone with a phone access to an audience that once required a television network, magazine or record label.
The next wave gave those creators tools.
Editing became easier. Design became templated. Analytics became accessible. And then generative AI arrived and compressed what remained of the production process. Images, scripts, voiceovers and increasingly convincing video can now be produced from a prompt.
For creators, this is an extraordinary expansion of capability. It also creates an unusual business problem for the companies selling those capabilities.
What happens when generation itself stops being scarce?
The answer may determine where the next valuable layer of the creator economy gets built.
Generation Is Becoming Infrastructure
AI is no longer an edge case in creative work.
Adobe’s 2026 Creators’ Toolkit Report, based on a survey of more than 16,000 creators, found that 75 percent considered creative AI integrated or essential to their workflow. Ninety-three percent said it helped them produce content faster.
But another number is arguably more interesting: 85 percent said the final creative decision should always remain theirs.
That distinction points to something the current AI boom has not solved.
A machine can generate 50 Instagram posts before lunch. It cannot necessarily tell you which of those 50 deserved to exist.
As generative models improve, the technical gap between what different creators can produce is narrowing. The same image models, language models and video generators are available to millions of people. Better generation will continue to matter, but access to generation itself is becoming less of a competitive advantage.
The bottleneck is moving.
Aubrium Is Betting on What Comes Before the Prompt
That is where Aubrium is positioning itself.
The Dubai-based social media intelligence platform for creators, brands and agencies incorporates generative AI, but its larger bet is on the layer surrounding it: helping creators decide what is worth creating in the first place.
Its systems scan millions of social media posts across hundreds of niches looking for outliers – content performing substantially beyond what might ordinarily be expected from the account publishing it.
The distinction matters.
A post receiving 100,000 views from an account accustomed to reaching millions may not tell a creator very much. A post receiving 100,000 views from an account with 3,000 followers is a different signal entirely.
Something travelled.
Aubrium’s approach is to find those anomalies, surface them and give creators a way to understand what is breaking through within their particular corner of social media.
Instead of asking AI to invent from an empty prompt box, the idea is to give the creator intelligence before asking the machine to produce anything.
The Value May Be Moving Up the Stack
There is precedent for this shift elsewhere in technology.
When an underlying capability becomes abundant and inexpensive, value often migrates to whatever helps people decide how to use it.
Creators are experiencing their own version of that abundance.
They can write faster, design faster and produce more variations than at any previous point in the history of social media. But none of that creates another hour in the day for their audience.
Attention remains finite.
Goldman Sachs has estimated that the creator economy could reach $480 billion by 2027, up from roughly $250 billion when it published its forecast. Among the characteristics it identified as important to the ecosystem were AI-powered recommendation engines and robust data and analytics.
Those two ideas increasingly look connected.
The opportunity may no longer be simply giving creators better tools to make things. It may be giving them better information about which things are worth making.
From More Content to Better Decisions
None of this means generation becomes irrelevant.
Aubrium itself uses AI to help creators move from an idea to execution. The difference is that generation sits downstream from a decision rather than becoming the decision.
That could prove important as creator tools converge around increasingly similar underlying models.
If every creator eventually has access to extraordinary image generation, video production and writing assistance, those capabilities become the baseline. Competitive advantage moves elsewhere: proprietary data, taste, audience understanding, distribution and the ability to recognize signals before everyone else does.
For years, creator technology has largely competed on the question: How can we help you make more?
The next generation may compete on a harder one:
How can we help you know what to make?
Aubrium is betting that the second question will be worth considerably more.
