ASI 2030, a studio in the RISCON family, publishes synthetic records of an imagined path to artificial superintelligence from late 2026 to 2030. In each, a judgment is given about someone's case, often by an AI system, and a human auditor gives one of the four opinions of financial auditing. None reports a real event, and their developments toward advanced AI are the studio's scenarios, not forecasts made here. The studio's story runs as one shared past until the end of 2028 and then forks. This paper reads the ten records of that shared past on the two axes the studio calls Measuring Human Worth and Work and Income, and asks how they treat the numbers that come to stand for people: a staffing cut, a contribution score, a rider's rank, a share of a productivity gain.
In these scenarios the auditor accepts a number about people only when two tests are met together. The number must hold when it is computed again, on another window, another sample or by another body; and the person it counts must be able to see it and contest it. The single unqualified opinion falls where both are shown. The records' own form, which marks each ground of a judgment as evidence, claim or assumption, also exposes the step at which a figure is taken to stand for a person. The paper relates this to the sociology of quantification: commensuration, reactivity and the call for an ethics of numbers, scores as classification situations, and algorithmic control at work.