We are currently navigating a strange new landscape in digital eyecare. It’s a stage where bad actors use generative technology to flood social media platforms with content that masquerades as professional expertise. I’m not talking about misguided amateur influencers; I’m talking about completely fabricated digital entities posing as ophthalmologists.
I recently stumbled upon a YouTube channel that claimed to be run by an ophthalmologist. When I looked closer, there were no clinical credentials, no website and no listing for a physical clinic. In just one month, this channel posted 40 videos—all of them 100% AI-generated—and managed to gain 3,000 followers. This isn’t just a gimmick; it’s an active effort to dilute true information, and we need to be clear-eyed about what we are looking at.
Anatomy of a Digital Fraud
If you are a practitioner in the digital space, you are likely already training your eye to spot these fakes. For a while, the technology was rudimentary enough that a glance was all you needed. But the tech is improving rapidly, and it’s getting harder to spot the artificial nature of these videos within the first few seconds.
However, these AI-generated “doctors” still leave breadcrumbs. If you find yourself watching a video and questioning the source, look for the technical tells. Within the first 15 to 20 seconds, watch for repeated, unnatural hand gestures. If the subject’s hands are doing the same movement over and over, that’s a red flag. Pay close attention to the mouth—is it slightly out of sync with the audio? And most tellingly, look at the inside of the mouth. It is often rendered unnaturally, appearing as a pitch-black void.
You should also investigate the environment. If you see degrees or diplomas on the wall behind the “doctor,” don’t just accept them as proof of credentials. Pause the video and zoom in. In many of these AI-generated scenes, the text on the degrees is completely jumbled, or the fonts change mid-sentence into nonsensical symbols. When the background itself is clearly a stock image that doesn’t hold up to scrutiny, you know you are dealing with a fabrication.
The Infinity Loop
Beyond the visual flaws, there is a psychological signature to this AI content that I’ve come to recognize. I call it an “infinity loop.” These videos hit the main points of a topic, but they talk in circles, constantly dancing around the issue without ever really arriving at a substantial conclusion.
There is a logical reason for this: the scripts are generated by AI. They are designed to optimize for engagement, not accuracy. They are pumping out multiple videos a day because the overhead is effectively zero—they just generate the script, the video and the voice, and then hit publish. It is a gambling mentality. They are rolling the dice over and over, hoping to hit the jackpot with views and subscribers, building momentum to sell coaching courses, books or bogus products.
In the case of the channel I investigated, the content was aggressively predatory. They were pushing claims about fruit juices and specific foods that could “cure cataracts overnight.” As professionals, we know this is patently false, but these creators are preying on the fears and insecurities of elderly patients who may not be familiar with AI or the nuances of social media.
The Policing Problem
One of the most frustrating aspects of this reality is the difficulty in stopping it. In my experience, these operations are almost always based outside of the United States. You can hire an attorney to send a cease-and-desist letter, but it rarely results in anything meaningful. You can’t shut them down because they operate beyond the reach of our typical legal tools.
Platforms like YouTube have taken a stronger stance, requiring creators to label content that is AI-generated, and they occasionally terminate accounts that violate their policies. However, other platforms like Meta, Facebook and TikTok seem to offer a level of plausible deniability. They claim not to know that an ad or a piece of content is a deepfake or a false endorsement, yet they still collect the ad revenue from these posts.
We Are Responsible
Ultimately, we have to recognize that the responsibility falls on us. While these platforms may turn a blind eye, we cannot. We are entering an era where deepfakes could sway political agendas, destroy reputations or erode the trust patients have in our industry.
I believe that on a long enough timeline, the novelty of this content will fade. Eventually, older videos where the AI was obviously outdated will surface to new viewers, and the facade will crack. Patients are already calling it out in the comments—many are savvy enough to recognize the fakes. But in the short term, we have to stay vigilant.
We shouldn’t be passive observers of our own profession’s digital reputation. If you see a source that claims clinical authority but feels “off,” do the investigative work. Ask for the website. Check the credentials. If we don’t advocate for the truth, we leave a vacuum that others will happily fill with fabrication.
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