The creator economy has a power problem hiding in plain sight. Social media is the center of gravity for creators, brands, and platforms. It is where careers get built, deals get sourced, and culture gets made. So the layer everyone treats as the most important is also the layer that creators control the least. This essay is about creator ownership; who actually owns the audience, the data, and the distribution when everything seems to run through social platforms.

That tension is thick, and it has been nagging me for years.

Creators are told to build on platforms they do not own, under algorithms they do not control, inside monetization systems that can change overnight. That setup is shaky for ANY creator. But, it is structurally harmful for Black creators, who have been powering digital culture while getting paid less than white peers and navigating strained relationships with platforms.

AI raises the stakes. In the wrong hands, AI becomes one more extraction tool layered on top of an already unequal system. In the right hands, it COULD be protective infrastructure that helps creators retain more control over their name, image, likeness, audience, and IP. Which one we end up with depends on who is building it, who is training it, and who gets paid when it works, especially as more reporting shows how generative AI is reshaping the creator economy and how creator labor is powering AI systems.

 

The second-layer trap

 

Social media gets called an “owned” audience all the time. I hear it from creators, agencies, brand teams, and platform reps.

The reasoning sounds clean:

1. You run your own profile.
2. You publish under your own name.
3. You built the following.

But, that is only partial control.

Platforms govern reach through recommendation systems. They govern access to your audience through moderation and account decisions. They govern monetization through policies that can shift quickly and rearrange a creator’s business model. You publish, but you do not actually own distribution, and you do not own reliable access to the people who followed you.

That is why I think of social media as ‘borrowed’ land. You can decorate the apartment and make it feel like home, but the building is not yours. The lease can change. When you’re building on social, you’re not a homeowner, you’re a tenant. And platforms have their own version of eminent domain: they can re‑zone the algorithm, bulldoze your reach, or repurpose your content and data for their next AI project, and all you get is an updated terms‑of‑service email.

The channels that are actually owned are different:

• Your website
• Your email list
• Your SMS list
• Your private community

Those give you direct access to the people who chose to be on the list, plus real control over the data, the delivery, and the relationship. Nobody is going to wake up tomorrow and decide your email list reaches four percent of itself today.

The reason the borrowed layer feels like the main stage is that everyone with money inside the system benefits from keeping it that way.

• Platforms benefit because creators generate engagement, cultural relevance, behavioral data, and ad inventory.
• Brands benefit because they can access trusted communities through creators without ever investing in long-term creator ownership or independent infrastructure.
• And creators are incentivized to keep building on the borrowed layer because that is where the visible signals of success live: views, followers, saves, shares, virality, short-term brand revenue.

Reporting on the shift toward owning audiences instead of renting them from platforms makes clear that creators are increasingly aware of that tradeoff.

Those signals are not fake. Real cultural impact and real cash flow get built on the borrowed layer. I am not telling anyone to log off.

But visibility is not the same thing as ownership, and attention is not the same thing as leverage. A lot of creators are running businesses with high visibility and low control, and most of them have never been told the difference.

 

Black creators are the clearest case study

 

I co-authored the Time to Face the Influencer Pay Gap study with MSL in 2021. The data is dated by now, but the pattern it surfaced has not changed. The original study found a 35 percent pay gap between white and Black influencers, alongside a 29 percent gap between white influencers and BIPOC influencers overall. Secondary reporting and later sector-specific analysis have continued to describe similar gaps in compensation and recognition.

That is not a one-off finding. The beauty industry has its own version. Other creator categories have their own versions. The pattern is consistent enough that it stopped being a question for me a long time ago, especially when beauty-specific reporting and essays about Black creatives as “the blueprint” without equal reward keep landing on the same structural dynamic.

That’s a compounding effect!

Black creators are not just exposed to the same volatility everyone else faces on borrowed land. The borrowed layer compounds that volatility through uneven discovery, inconsistent moderation, and unequal compensation outcomes. So the creators producing some of the most valuable cultural labor on the internet are also being asked to build on the least stable terrain.

Black creators are the blueprint without proportional ownership.

Black creators are the influence without proportional protection.

Black creators are the trend cycle without proportional pay.

That is why any honest conversation about creator ownership MUST include race. The question is not only whether creators own their audience. The question is which creators get punished the hardest when audience access, distribution, and monetization stay in someone else’s hands.

 

The resistance is already happening

 

What I find interesting right now is that this is not just critique anymore. It is adaptation.

Black users are increasingly aware that their voices, language, and public content are helping train AI systems while they retain little control over where that value goes. Commentary and reporting about AI risk targeting Black women’s images, digital blackface, and the broader weaponization of AI against Black women online make that concern feel rational.

And our behavior on these platforms has shifted in response. We’re not explaining AAVE for outsiders. We refuse to decode our culturally specific language. Participating in viral prompts that feel like image collection campaigns? Hard pass!

Instead, we’re shifting to more coded language. More “if you know, you know.” More posting for the people inside the conversation and letting everyone else figure it out or stay out.

To be clear, I’m framing this as an observation. Not as a fully measured academic finding (maybe one day)! But, I do think it is a reasonable reading of the moment, especially given the evidence that AI systems are biased against speakers of African American English and can produce covertly racist decisions based on dialect.

This gets dismissed as vagueness or “gatekeeping” sometimes. I do not see it that way. I see informational self-defense inside a system that has treated Black culture like open-source training data for years and is now doing it at industrial scale.

It also matters because of what it reveals. Black users are not passively waiting to be extracted from by AI. They are already experimenting with the only levers available on borrowed land: opacity, community context, selective legibility, and refusal. The platforms did not give those tools. The community built them.

 

AI can deepen extraction or redistribute power

 

AI is not arriving in the creator economy as a neutral force. It is arriving inside an industry already shaped by asymmetric information, unequal bargaining power, and platform control. Whatever bias and imbalance already exist in the system, AI is going to multiply it unless we are intentional about who builds it and who governs it.

On one side, AI can intensify what is already happening. Generative tools can remix creator labor without consent or credit. Synthetic influencers can compete for the same brand budgets as real creators for a fraction of the cost. Recommendation systems can further centralize decisions about what gets seen, who gets surfaced, and what kind of content gets monetized. For Black creators in particular, that means real exposure to mimicry, likeness misuse, and aesthetic theft without recourse.

On the other side, AI can do the opposite when creators build and govern it themselves.

There is already reporting on a Black-owned NIL agency using AI to support overlooked athletes and help protect their name, image, and likeness rights. That is a different model from one where creators are merely raw input for systems they do not own.

The distinction is not whether AI is present. AI is here, and it is going to be here. The real question is who builds it, who trains it, who owns the underlying data, who benefits when it works, and whether the value created routes back to creators or away from them.

 

Ownership belongs at the foundation, not the upgrade tier

 

If creators want more control over their IP, their audience, and the long-term health of their business, owned channels have to be the foundation. Not the upgrade you get to after you “make it” on social. It MUST be the foundation.

A more durable creator stack looks something like this (IMHO):

I am not telling anyone to delete Instagram. Social platforms are still real discovery engines and Black creators still earn significant revenue and income on these platforms. They generate awareness, influence, and opportunities that can change creator careers. But they belong at the top of the funnel, not at the center of the business.

When creators skip the foundation and build the whole operation on borrowed distribution, the visibility is real and the control is not. When creators build the foundation first, the borrowed channels become a route into something larger.

That is the shift I want more creators making, especially Black creators, and especially right now while AI is still being built around us instead of with us.

 

The real fight for creator ownership is over leverage

 

The creator economy spends a lot of time arguing about rates, brand deals, and monetization. Those conversations matter. I have them every week.

Underneath all of them is the bigger fight, which is over leverage:

1. Who owns the audience relationship?
2. Who controls distribution?
3. Who governs the IP?
4. Who gets paid as content travels across channels, platforms, and now AI systems?

The future of creator equity is not just about helping creators get more views or charge higher rates.

It is about helping creators build infrastructure that survives the next platform change, retain more rights as their work moves through systems they did not build, and shift more of their value off borrowed land and into structures they actually own.

For Black creators, that shift is the difference between being the blueprint forever and being the owner finally. For AI, it is the line between empowerment and extraction. And for the industry as a whole, it is the test of whether the next decade looks any different from the last one.

A more just creator economy will not come from pretending platforms are neutral, or that virality is the same as power.

It will come from naming the second-layer trap clearly, building owned pathways on purpose, and asking a sharper question of every new platform, contract, and AI tool that lands in front of us.

Does this give creators more control? Or does it just make the extraction more efficient?

If we cannot answer that question, we are not having the right conversation yet.

 

Sources and further reading

• Content Creators Between Platform Control and User Autonomy

• MSL Study Reveals Racial Pay Gap in Influencer Marketing

• A Study Shows That Black Content Creators Make Significantly Less Than Their White Counterparts

• Influencing Change: Closing the Pay Gap for Black Creators in Beauty

• Why Black creators say relationships with platforms remain strained

• Owned vs Rented Audience

• Permission to Follow Up: The Difference Between Owned and Borrowed Audiences

• Why Creators Are Scrambling to Own Their Own Audience

• Black Voices Are Training Big Tech. But Who’s Protecting Them?

• ‘BW Post Your Pic’ Meme Puts Black Women at AI Risk

• The Digital War on Black Women: How AI is Being Weaponized to Silence Our Voices

• Digital Blackface: A Tool for Online Manipulation & Disinformation

• AI is biased against speakers of African American English, study finds

• AI generates covertly racist decisions about people based on their dialect

• The state of generative AI in the creator economy

• Creators Aren’t Competing with AI. They’re Powering It

• Will AI Kill the Creator Economy?

• Rendering misrepresentation: Diversity failures in AI image generation

• Howard Students Confront the Rise of AI Influencers

• Founder Of First Black-Owned NIL Agency Turns To AI

• Exclusive: Morgan State University Graduate Launches AI Agent For Overlooked Athletes