CONCEPT
AI Displacement Visibility
The structural condition in which the gains of AI-driven technological transition are made highly visible by the metrics that measure them, while the costs are absorbed into aggregate categories that make specific suffering invisible—the epistemic asymmetry that Engels’s moral witness method was designed to correct.
The AI transition has its own aggregate statistics: productivity up twenty-fold, adoption curves steeper than any developer tool in history, revenue trajectories that surpass the fastest-growing companies ever measured. These numbers are real. They describe a genuine expansion of human capability. And they perform the same function that “industrial output doubled between 1820 and 1840” performed in the era
Friedrich Engels documented: they organize a transformation into a shape that accommodates both the winners and the losers without requiring anyone to look at the losers for very long. The number absorbs the biography. The productivity multiplier swallows the person whose productivity was multiplied to zero. AI displacement visibility is the structural condition this creates: a systematic bias in what is seen about the transition, built not into any individual’s bad faith but into the institutional architecture of what gets measured, what gets reported, and what ends up in the ledger