The ability to label a deepfake as 'fake' doesn't solve the problem. The greater danger is 'frequency bias,' where repeated exposure to a false message forms a strong mental association, making the idea stick even when it's consciously rejected as untrue.

Within five years, viewers will assume most online video is AI-generated, creating profound distrust. This skepticism creates enormous "counter-opportunities" for businesses and creators who can offer provably authentic, tangible, or in-person experiences, which will be valued at a premium.

As AI makes it impossible to distinguish real from fake online content (the 'dead internet theory'), society will be forced to question reality itself. This skepticism is ultimately beneficial, as it will lead people to place a higher value on tangible, verifiable experiences like physical touch, nature, and in-person connection, which cannot be digitally replicated.

The biggest political danger of deepfakes isn't that people will believe fake content. It's the "liar's dividend": politicians can now dismiss genuine, scandalous video evidence as a deepfake. This erodes video as a tool for accountability, a more subtle but profound threat to political discourse.

The modern media ecosystem is defined by the decomposition of truth. From AI-generated fake images to conspiracy theories blending real and fake documents on X, people are becoming accustomed to an environment where discerning absolute reality is difficult and are willing to live with that ambiguity.

The gap between AI believers and skeptics isn't about who "gets it." It's driven by a psychological need for AI to be a normal, non-threatening technology. People grasp onto any argument that supports this view for their own peace of mind, career stability, or business model, making misinformation demand-driven.

Beyond generating fake content, AI exacerbates public skepticism towards all information, even from established sources. This erodes the common factual basis on which society operates, making it harder for democracies to function as people can't even agree on the basic building blocks of information.

As AI makes creating complex visuals trivial, audiences will become skeptical of content like surrealist photos or polished B-roll. They will increasingly assume it is AI-generated rather than the result of human skill, leading to lower trust and engagement.

The sheer volume of conflicting, AI-generated information makes verifying truth too difficult. People then abandon the pursuit of accuracy and accept the least offensive falsehood, threatening the very value of truth itself.