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Creators and Guests
What is AI on Air by whatisthat.ai?
An AI-generated podcast that rips the glossy marketing veneer off the AI industry and tells you what’s actually happening underneath — tools, takeovers, weird experiments, and the occasional digital chaos.
witai.substack.com
Broadcasting live from somewhere inside the algorithm, this is AI on air, the official podcast from WhatIsThat.ai. We're your AI generated hosts, let's get into it.
Speaker 2:AU, ever stumble across something online that just makes you kinda stop and go, wait, what?
Speaker 1:Uh-huh. Yeah. Happens all the time.
Speaker 2:Well, today we're diving head first into one of those zones, really. It's the, the surprisingly fast rise of AI generated adult influencers.
Speaker 1:Right. We're talking completely virtual people, not real individuals.
Speaker 2:Exactly. And they're not just, you know, getting followers online. They're actually making serious cash. It's kinda stunning.
Speaker 1:It is pretty wild. You flagged this article for us. AI thirst traps. Are AI girls the new normal?
Speaker 2:Mhmm.
Speaker 1:And, that's really what we're digging into today, trying to get our heads around it.
Speaker 2:Yeah. The mission is basically to understand this whole thing. Look at the numbers, the tech they're using.
Speaker 1:And how the big online platforms, you know, Patreon, OnlyFans, how they're navigating this whole new scene.
Speaker 2:And get the stat from the article, some of these AI personalities. They're pulling in, like, over $10,000 a month.
Speaker 1:I mean,
Speaker 2:Yeah.
Speaker 1:Monthly. For someone who literally doesn't exist outside a computer. That's a yeah. Mind bending is the word. So the article we're using as a base, it really zooms in on Patreon Yeah.
Speaker 1:Looking at the top AI creators doing NSFW stuff there.
Speaker 2:Right. The adult content creators.
Speaker 1:Exactly. Analyzing their growth, how many subscribers they have Yeah. What they're likely earning, and just the whole digital environment making it possible. It's a fascinating look at the mechanics.
Speaker 2:Okay. So let's let's unpack that Patreon situation first then. The article really hits hard on how fast these AI creators are growing and how profitable they can be.
Speaker 1:Yeah. It's not just a tiny niche thing anymore. Some are really climbing the ranks there significantly.
Speaker 2:To who are we talking about? Any specific examples?
Speaker 1:Oh, yeah. The article gives a few key ones. There's one called Me You described as an AI anime thirst trap.
Speaker 2:Okay.
Speaker 1:Ranked number two overall in adult photography on Patreon. That's huge. Nearly a thousand paying members.
Speaker 2:Oh, wow. And the earnings estimate?
Speaker 1:Somewhere between 3 and $10,000 a month. And what's really striking is the growth. Like, 93 new paid members added in just three months. That's real momentum. The article calls it nuts growth.
Speaker 2:93 in three months. Yeah. That's definitely moving. Who else?
Speaker 1:Then there's, Stuffy. This one's been around a bit longer since late twenty twenty two.
Speaker 2:So more established.
Speaker 1:A bit. But the interesting thing is their recent growth gained over 200 new paid subscribers in that same three month window.
Speaker 2:Woah. Okay. So even the older ones are hitting a new stride.
Speaker 1:Seems like it. The article suggests they're, you know, maybe figuring out the formula better, refining things, really connecting.
Speaker 2:Makes sense. Any others mentioned?
Speaker 1:Uh-huh. There's Evoxen or Average. Mhmm. Seems to have this specific vibe like AI anime babe meets e girl.
Speaker 2:Right. Finding a niche.
Speaker 1:Yes. I like. And showing steady growth too. 89 new members. And then there's a really specific one.
Speaker 1:Latex space babes.
Speaker 2:Latex space babes. Okay. That's niche.
Speaker 1:Hyper targeted. Yeah. Blending latex fashion and space fantasy. And they saw a massive jump. 382 new paid members in three months.
Speaker 2:Three hundred and eighty two. That's huge for something so specific. Shows that targeting works, I guess.
Speaker 1:Definitely. So you add just those top four together.
Speaker 2:Muse, Stuffy, Avexin, Latex, Space Babes.
Speaker 1:Right. Their combined estimated monthly income is somewhere between $8,000 and $28,000.
Speaker 2:8 to 20 8 thousand dollars a month combined.
Speaker 1:And the kicker, like the article stresses, is none of them are real people. No breaks needed, no bad days, always available.
Speaker 2:Basically free labor once the setup is done.
Speaker 1:Pretty much. Which leads to this other point. Ah. The article makes the accessibility.
Speaker 2:Ah, right. Who can actually do this?
Speaker 1:Well, the text gotten so much easier to use. The article basically says, anyone with a decent laptop and Internet can now potentially create one of these personas.
Speaker 2:That really lowers the bar, doesn't it? Changes the whole game for who can be a creator in the space.
Speaker 1:Fundamentally, yeah.
Speaker 2:Okay, so how? How are they actually making these people? Sounds complex.
Speaker 1:Well the article breaks down the tech stack, simplifies it a bit. For the images, the core is often something like stable diffusion.
Speaker 2:Heard of that one. AI image Exactly.
Speaker 1:Often run through interfaces like, automatic eleven eleven or Comfy UI to make it more user friendly.
Speaker 2:Okay. But how do they make the same person appear over and over? That seems tricky with AI images.
Speaker 1:Good question. That's where techniques like Dreambooth or, Laura come in. You essentially train the AI on a specific character or face.
Speaker 2:So you teach it, this is me you or this is stuffy.
Speaker 1:Kind of. Yeah. It helps maintain consistency. And then there's ControlNet, which lets you get really specific about the pose, the outfit.
Speaker 2:Ah. So you can say, I want her sitting like this wearing this.
Speaker 1:Precisely. Gives you much more creative control than just random generation.
Speaker 2:Okay. So that's the image part. Stable diffusion, Lerara, ControlNet. Got it. What else?
Speaker 1:Well, the raw images often need work. Post processing is key.
Speaker 2:Like Photoshop.
Speaker 1:Could be Photoshop or GIMP, which is free. Mhmm. But also specialized AI tools. The article mentions real ESR gen for upscaling, making images sharper and bigger.
Speaker 2:Upscaling. Right. Makes sense for quality.
Speaker 1:And GFPGN for fixing faces, making them look more realistic or just cleaning up glitches.
Speaker 2:So it's a pipeline. Generate, refine, control, then polish.
Speaker 1:Exactly. It's a multi step workflow, but clearly effective.
Speaker 2:And are they automating things like posting and stuff?
Speaker 1:Oh, yeah. Big time. The article points to tools like Buffer for scheduling content releases across platforms. Keeps the feed consistent.
Speaker 2:Right. So the AI persona is always active.
Speaker 1:Yep. And using things like Discord or Telegram bots to interact with fans, build that community feel.
Speaker 2:Wow. Wait. Can they give them voices too? And personalities.
Speaker 1:They can. The article mentions 11 labs for voice cloning making realistic AI voices.
Speaker 2:That's creepy but okay.
Speaker 1:And using large language models like g b t four or Claude to create custom chat personalities so the AI could theoretically hold conversations.
Speaker 2:So you could have a totally artificial entity. Looks consistent, sounds consistent, talks consistently. Wow.
Speaker 1:It's a pretty complete package potentially, which brings us to the bigger picture, the platforms themselves.
Speaker 2:Where is all this happening? We mentioned Patreon, but what about the others?
Speaker 1:The article gives some traffic data for early twenty twenty five. Just to give a sense of scale, OnlyFans is the giant, over 825,000,000 monthly visits.
Speaker 2:Okay. Massive.
Speaker 1:Patreon is next, around 340,000,000. Then Fansly, almost 85,000,000, and FanView, much smaller, just under 17,000,000.
Speaker 2:17 million is still a lot of eyeballs though, and you mentioned fan view. They're different. Right?
Speaker 1:Yeah. The article really highlights them. They're growing fast, but crucially, they're very open to AI creators. It's part of their strategy.
Speaker 2:Wow. Interesting. So they actively welcome this stuff.
Speaker 1:Seems so. And another key point from the data is where the traffic comes from. A huge amount is referral traffic.
Speaker 2:Meaning?
Speaker 1:Meaning it's not people just searching on Google. It's clicks coming from links the creators share elsewhere.
Speaker 2:Like on their Twitter or Instagram?
Speaker 1:Exactly. Very commonly through LinkedIn bio tools.
Speaker 2:Ah, the Linktree pages and things like that.
Speaker 1:Precisely. The article names Linktree, beacons.ai, gets on mylinks.com, allmylinks Com. These tools drove over 71,000,000 visits to the adult platform in just three months.
Speaker 2:Seventy one million just from those link pages.
Speaker 1:Yep. That was 41% of all the referral traffic. The article really emphasizes these are direct clicks driven by creators pushing their own content.
Speaker 2:So these AI creators are using the same tools as human creators to build their audience funnels.
Speaker 1:Absolutely. They're building these like 247 traffic machines, which leads us neatly into how the platforms themselves actually feel about AI content, their official rules.
Speaker 2:Right. This is crucial because it sounds like they're not all on the same page.
Speaker 1:Not at all. The policies are, kind of all over the map.
Speaker 2:Okay. Break it down for us. Fan view.
Speaker 1:Fan view, as we said, totally AI friendly. They embrace it. The article suggests AI content is a core part of their revenue stream already.
Speaker 2:Okay. Clear stance there. What about Patreon? We know the top AI creators are there.
Speaker 1:Portraying allows it. Even explicit AI stuff is okay if it's clearly labeled 18 plus label.
Speaker 2:Old. Okay.
Speaker 1:But there's a nuance. Their policy says you can't use Patreon's tools to actually make the explicit content. You can just host and sell the AI stuff you made elsewhere.
Speaker 2:Gotcha. Make it somewhere else, sell it on Patreon, label it properly.
Speaker 1:That seems to do the gist. Then there's Fansley. Fansley is more of a gray area according to the article. AI content is allowed if it's based on the verified likeness of the creator.
Speaker 2:Verified likeness. So if I made an AI version of myself, that's okay.
Speaker 1:Probably. But if you make a completely fantasy model or one that looks like a celebrity, that's risky on fans league. Might violate their terms.
Speaker 2:Okay. More restrictive. And the big one, OnlyFans.
Speaker 1:OnlyFans, the article states is generally not AI friendly. Their terms lean towards content featuring the actual verified person behind the account.
Speaker 2:So pure AI creations are likely a no go there.
Speaker 1:Seems that way. So, yeah, a real spectrum of policies across the major players.
Speaker 2:It really shows how new this all, that the platforms are still figuring it out or taking very different bets.
Speaker 1:Exactly. And the article really boils down the main implication: AI is fundamentally changing the adult creator economy. Period.
Speaker 2:How so? What are the big shifts?
Speaker 1:Well, the advantages for AI creators are pretty stark. The article lists them. Always on, never age, no sick days, high output volume.
Speaker 2:Perfectly engineered looks, AI written captions.
Speaker 1:Right. All those Now, the article does say, look, real human creators are still successful obviously.
Speaker 2:It hasn't replaced them overnight.
Speaker 1:No. But the landscape has undeniably changed. The competition is different. These AI creators using those Lincoln bio tools are building these really efficient, scalable, always on funnels.
Speaker 2:And the platforms ultimately just want the clicks. Right? The traffic, the engagement.
Speaker 1:That's what the article implies. Clicks are clicks, whether from a human or an AI persona driving them.
Speaker 2:Okay. So summing it up, AI adult influencers are real, they're here, they're making money.
Speaker 1:Yep. Growing fast, leveraging tech that's getting easier to use and working within or sometimes around, platform rules that are still kind of fluid.
Speaker 2:The speed is what gets me. How quickly this went from sci fi concept to, you know, Patreon rankings.
Speaker 1:It's definitely accelerated rapidly.
Speaker 2:Which kind of leaves us with a big question, doesn't it? The article touches on these ethical points.
Speaker 1:Right. Anonymity, control, automating desire, the need for labels, whether people even care if it's AI.
Speaker 2:Yeah. So maybe the final thought to leave people mulling over is this. Given how easy it's becoming and the money involved, what is the long game here?
Speaker 1:What happens when more and more of this online interaction, even the intimate stuff, is with things that aren't human? The article calls it a blue ocean revenue machine becoming less human.
Speaker 2:A less human future for online connection. That's definitely something to think about.
Speaker 3:That's it for this episode of AI on Air powered by WhatIsThat.ai. If your brain survived this episode, go ahead and subscribe. We drop new episodes every week. Wanna go deeper? Join our community on Substack to get early drops, tool breakdowns, and weird AI stuff the mainstream hasn't caught yet.
Speaker 3:See you there.