Men are taught sex is a test. You pass or you fail. Score points, or you don’t. It’s a locker room metric, a barstool boast, a quiet shame. And when the grading rubric gets smudged, or worse, outright broken by something you can’t even see, that quiet humiliation gets amplified into something cold and isolating. Because how do you pass a test when the questions themselves are being rewritten by an algorithm?
That’s the unspoken dread lurking behind the headlines about deepfakes, particularly the kind generated by AI and slapped onto someone without their consent. The tech companies, the platforms, they’re scrambling to look like they’re doing something. And their latest, most lauded idea? Watermarking. Mandate that every AI-generated image or video gets a digital tattoo, a hidden marker that says, “This isn’t real.” On the surface, it sounds like a sensible, even noble, step. A line in the sand. But anyone who’s ever spent five minutes in the dirt knows a line in the sand is just an invitation for the next wave to wash it away.
The Watermark Illusion
The idea of watermarking is rooted in a fundamental misunderstanding of how this content is used, and more importantly, how it’s made. You’re not just dealing with high-minded artists in digital studios. You’re dealing with hobbyists, bad actors, and an entire underground economy built on evasion. Imagine a law requiring every illegal firearm to be engraved with a serial number. Who, exactly, is going to do the engraving? And more to the point, who’s going to enforce it? The platforms pushing for watermarking are often the same platforms that already struggle to police actual child exploitation, non-consensual imagery, and hate speech on their own sites. Now we expect them to accurately detect and mark something that’s designed to be undetectable and then, in many cases, distributed off-platform?
The current state of deepfake detection is an arms race. AI models get better at creating fakes; other AI models get better at detecting them. It’s a constant escalation, and the fakes are currently winning. A watermark, even a robust one, is just another data point for the next generation of generative AI to learn how to strip away or mimic. It’s a solvable problem for a determined programmer, like finding a crack in a wall and then making that crack a feature of your own build. And what about the bad actors who don’t use the mainstream platforms? The ones who distribute through encrypted messaging apps, private forums, or dark web channels? They’re not going to be applying any watermarks. This isn’t about protecting the users of Facebook from AI; it’s about protecting the entire internet, and the platforms are only patching their own small corner of it.
The Real Problem Isn’t Marking
The real problem isn’t the creation of these images; it’s the proliferation and the intent. Watermarking focuses on the artifact, not the motive. It’s a technical fix for a human failing, a legislative bandage on a societal wound. The deepfake problem isn’t a glitch in the matrix; it’s a symptom of a deeper, more insidious cultural phenomenon: the casual dehumanization of others, particularly women, for digital consumption. And in many cases, for targeted harassment.
Think about the sheer volume of non-consensual deepfakes, often pornographic, that flood the internet. They target celebrities, ex-partners, even classmates. The damage isn’t just to the individual’s reputation; it’s the psychological toll of having your image, your identity, twisted and violated without your consent. And for men caught in this, perhaps unknowingly viewing or sharing these images, there’s a quiet complicity, a dulling of the moral compass, that goes unaddressed. We’re so focused on the technical wizardry that we forget the ugliness behind the curtain. The deepfake problem isn’t about whether we can tag a file; it’s about whether we, as a society, are comfortable with the widespread availability of tools that allow anyone to commit digital assault with increasing ease. A watermark won’t change that underlying impulse.
Related reading on Sexarium: what is AI deepfake regulation 2026 and how it impacts adult content · AI adult deepfake legislation 2026: what creators need to know · The coming AI deepfake detection mandate.
A Flawed Deterrent
The push for watermarking also carries a dangerous assumption: that the average user will understand, care, or even be able to detect these marks. Most people aren’t digital forensics experts. They’re scrolling feeds, clicking links, and taking things at face value. A subtle digital watermark isn’t going to stop a casual viewer from believing what they see, especially if it confirms a bias or fulfills a fantasy. And for those who do know about watermarks, there’s a perverse incentive to seek out the un-watermarked versions, the “authentic” fakes, adding another layer of desirability to illicit content. It becomes a badge of honor for the creators, a challenge to overcome.
What happens when an official, platform-mandated watermark is itself faked, or convincingly mimicked by a bad actor? Suddenly, the very tool meant to provide clarity becomes a source of even greater confusion and mistrust. It’s like putting a “Genuine Article” sticker on a counterfeit handbag, but the sticker itself can be counterfeited. The whole system collapses. This isn’t about regulating a product; it’s about regulating information in an environment where information is infinitely mutable.
The deeper issue is the lack of real legal recourse for victims, and the global nature of the internet makes jurisdictional enforcement a nightmare. Mandating watermarks is a technical solution to a legal and ethical vacuum. It deflects responsibility from platforms and governments and places it, implicitly, on the integrity of a digital tag that is easily compromised. It’s a performative act, a PR move, designed to signal action without truly grappling with the difficult, expensive, and globally collaborative work required to tackle this problem head-on.
The sex act, for many men, is a private performance, a validation. To have that internal monologue of self-assessment disrupted by something that isn’t even real, something that warps reality itself, is to be fundamentally unmoored. Watermarks won’t fix that. The true solution won’t be found in an algorithm, but in a tougher conversation about consent, digital ethics, and holding platforms accountable for the consequences of the tools they unleash. And that’s a conversation most people are still trying to avoid.
