AI forecast pace summarizes whether real developments are moving faster, slower, or near the trajectory implied by a forecast. The estimate can combine several milestones, but each component needs a transparent definition and evidence date.
A single percentage can conceal disagreement and uneven progress. Capability, infrastructure, economics, and deployment may advance at different rates, so the aggregate should preserve uncertainty, weighting assumptions, and claim-level results rather than pretending to be a direct physical measurement.
ELI5
AI forecast pace compares actual progress with the speed implied by a forecast's milestones. It asks whether development is moving faster, slower or roughly along the expected path.
For example, model capability may advance ahead of a scenario while power infrastructure falls behind it. A useful pace estimate shows those differences, evidence dates and weighting choices instead of hiding everything inside one confident percentage.
