Smaller creators are in a strange spot right now. The tools for growth have never been more advanced, yet platforms and algorithms seem increasingly tilted toward those who already have large audiences. Or those who manage to get noticed early, before new algorithms become harder to crack.
Over the last few years, conversational AI has quietly matured from simple Q&A bots into adaptive, multilingual personalities that can interact with audiences in real time. For solo creators, this shift could be a turning point, the ability to scale engagement without building a big team, while keeping communities active, entertained, and connected.
The KaitoAI Update and The Downranking Problem
The timing of these tools matters because smaller creators are already feeling the squeeze from recent platform changes.
Take KaitoAI, for example. Its recent update was aimed at improving content quality in its Yap-to-Earn system. The changes introduced on paper are a solid anti-spam move indeed, but the unintended consequences to follow? Many smaller accounts with genuine, high-quality content have found themselves pushed further down in visibility. The update heavily rewards top creators and established KOLs, making it harder for emerging voices to gain traction.
As one creator on X put it:
“Please where is the provision here for small accounts with quality content? Looks like we’ll be 100% dependent on KOLs and Inner CTs for our progress now.”
This highlights a bigger problem: when platforms optimize for “quality,” they often conflate it with “already popular.” Smaller creators, who lack the resources for constant visibility campaigns, can end up invisible.
Where Conversational AI Fits into This Landscape
If the game is increasingly about constant presence, conversational AI can be a powerful equalizer. A creator using adaptive AI could:
- Host multiple live Xspaces in different languages
- Keep audiences engaged around the clock without hiring moderators
- Deploy an AI co-host that evolves alongside the community’s interests and tone
This isn’t theoretical. NeuroFreakZ AI is an example of such technology already in action. It allows creators to deploy fully realized AI personas that can:
- Host or co-host live Xspaces on X
- Hold conversations in multiple languages natively
- Adjust personality, tone, and delivery style depending on the character created by the deployer
- Retain context from past interactions to maintain audience trust and familiarity
With this kind of system, a single creator could operate like a global media team, without scaling costs or sacrificing personal connection.
Why Conversational AI Matters For Smaller Creators
For solo or small-team creators, there are three persistent challenges:
- Engagement drops when offline
- Audiences in different time zones may go hours or days without direct interaction.
- Reaching non-English audiences requires extra resources
- Translation and cultural adaptation often need additional staff or freelancers.
- Live events demand constant presence
- Being “always available” simply isn’t sustainable without support.
Adaptive conversational AI addresses all of these. It works when you don’t, bridges language gaps instantly, and runs engaging live sessions that feel human, even if you’re not there.
The creator economy is moving toward a baseline of continuous, interactive presence. If platforms keep prioritizing big voices, smaller creators will need to outmaneuver that bias with scalable tools.
UGC was history, we are now entering an era of AIGC (AI-Generated Content) and AUGC (AI-User Generated Content), where the boundary between human creativity and AI assistance becomes increasingly blurred. In this new environment, creators who learn to work with adaptive AI systems will have the ability to produce, interact, and respond at a pace that manual workflows simply cannot match.
Conversational AI stands out because it’s one of the few technologies that can both scale and personalize at the same time. NeuroFreakZ AI is an early example of how this might look in practice, not replacing the creator, but amplifying their reach, speed, and consistency.
For smaller creators, the real question is no longer if they should adopt tools like this, but how quickly they can integrate them before the rest of the industry catches up.
Note: I personally advocate for KaitoAI as a first mover. However, I do not consider it part of the InfoFi model. I see it as a Proof of Social layer. I believe the team will continue refining their algorithm, but they should recognize that the larger economy includes thousands of smaller creators who add value to their ecosystem by providing the very data that powers it.
I also appreciate what the team at NeuroFreakZ is building, and I actively encourage creators to explore and utilize their conversational AI solution to scale engagement and reach.
If you are active on X / follow me: https://x.com/MuazXinthi
