Algorithmic Convergent Evolution: A Proposed Theoretical Framework for Digital Media

We are witnessing a profound structural shift in digital media. Whether you are looking at a news report, a music video, or an educational tutorial, the "container" of information is becoming identical: a high-velocity, vertical, looping video. This paper proposes a new theoretical framework to analyze this phenomenon: Algorithmic Convergent Evolution (ACE). Drawing on principles from evolutionary biology, I argue that this isn't a coincidence. Just as the physics of the ocean forces sharks and dolphins to evolve the same streamlined shape to survive, the "physics" of the modern feed - defined by infinite scroll and limited attention - forces unrelated content genres to converge on a single "Optimal Morphology." This research introduces a Tri-Axial Model to quantify this shift, measuring content based on Temporal Velocity (time-to-hook), Information Density (stimuli-per-second), and Structural Compliance. The findings suggest we are not just seeing a change in style, but a "morphological collapse" where the distinct traits of human expression are being selected out by the friction of the interface.