Now, AI can no longer tell what’s real

Setting up a YouTube channel, Wilderness, the young man dove head-first into the no-compromises setup he felt the stories deserved. He acquired top-notch equipment, rented a Dolby-verified studio, and got together the funds to travel to villages and interact with those who had lived with wildlife and had real-life stories to tell.

Rather than focus on himself and his own presence, Rohit wanted the stories to immerse the listener completely. Close your eyes and come with me into the jungle, he often said. He often did Live broadcasts to keep in touch with subscribers, but for the most part, Wilderness was all about the stories. And they were spellbinding.

The YouTube channel was beginning to see organic growth, with thousands of loyal followers—including me.

This situation highlights a troubling shift in our digital landscape. For years, the public conversation has focused on the danger of people being fooled by deepfakes. Now, we are seeing the opposite problem. Automated systems are the ones suffering from reality confusion, and individuals are paying the price.

Rohit’s channel became a victim of an identity paradox. To a piece of software trained to detect synthetic clutter, he looked suspicious because he was too professional. His audio, recorded in a high-end studio, was too clean. His narration was too consistent. His pacing was too perfect. By offering his audience a high-quality experience rather than a shaky, handheld video, he triggered the very filters meant to protect us from low-quality automation.

The irony is deeper still. As Wilderness grew, automated content farms began scraping his channel, stealing his research and narrations to create thousands of low-effort clones. When the platforms' automated tools scanned the landscape, they saw a massive cluster of similar content. Lacking the historical context to distinguish the source from the parasite, the algorithm made a binary choice. It saw a human researcher surrounded by a thousand of his own digital shadows and decided to delete the entire group.

It did not matter that Rohit’s work was the result of physical travel and primary research. To the code, he was just another data point in a cluster of inauthentic content.

In our rush to clean up the internet, we must ensure we aren’t creating a scorched-earth policy. If our digital future requires us to surrender our dignity and our privacy just to prove we are not software, then we have already lost something vital. We can’t afford to lose the human premium, the effort, heart and presence of people like Rohit, just because an algorithm finds it too difficult to look for the truth.

YouTube didn’t have much to say at this point, other than that content must comply with the guidelines. Hopefully, they will review the channel, and hopefully the YouTuber will fight for the content he worked so hard to create.

The New Normal: The world is at an inflexion point. Artificial intelligence (AI) is set to be as massive a revolution as the Internet has been. The option to just stay away from AI will not be available to most people, as all the tech we use takes the AI route. This column series introduces AI to the non-techie in an easy and relatable way, aiming to demystify and help a user to actually put the technology to good use in everyday life.

Mala Bhargava is most often described as a ‘veteran’ writer who has contributed to several publications in India since 1995. Her domain is personal tech, and she writes to simplify and demystify technology for a non-techie audience.