Algorithmic Genericization
Algorithmic genericization is a machine collapsing a brand into the generic category it belongs to, because the identity signals were too weak or inconsistent to hold it apart. Coined by Jason Barnard in 2025.
What it actually means
Ask an assistant about a specific firm and get a description of the category instead. The brand has not been rejected; it has been dissolved into the thing it does, because the system could not establish a distinct entity worth naming.
This is more damaging than absence. An absent brand prompts the user to look elsewhere. A genericised one produces a plausible answer in which the brand's own distinguishing facts have quietly disappeared.
What causes it
Inconsistency, mostly. A different founding date here, a different company name there, a description that shifts between profiles. Each contradiction lowers confidence, and below a threshold the system falls back on the safe generic.
Thin third-party evidence does the same work. If nothing independent corroborates what makes the brand specific, the specific part is the first thing dropped.