▲AI Labor Effects Become a Contested Evidence Base

Score history

Daily conviction score, 0 to 100. Higher means the thesis is more strongly corroborated.

Now 44 · +4 since Sep 13 · ranged 40 to 44

Why the conviction moved

• Sep 14
  Strengthened +4

  Anthropic's economists published employment and output estimates through 2030 across three scenarios, entering the labor-effects evidence base as an interested party with its own modeling framework. The breadth of the range invites contested replication by academic and official forecasters, which is the contest the thesis predicts.

• Sep 13
  Strengthened +6

  Anthropic's own scenario model spans from unemployment inside historical ranges to 17.9 percent cognitive unemployment depending on growth assumptions, published as an interactive explorer rather than a point estimate. Framing the labor question as a contested parameter space, authored by a lab, sets the terms academic and official forecasters must now rebut.

Source trail

• Supporting · September 14, 2026

  Anthropic's Economists Put a Range on AI's Effect on Output and Jobs Through 2030

  Anthropic's economists published employment and output estimates through 2030 across three scenarios, entering the labor-effects evidence base as an interested party with its own modeling framework. The breadth of the range invites contested replication by academic and official forecasters, which is the contest the thesis predicts.

  Anthropic

• Supporting · September 13, 2026

  Anthropic's Own Scenario Model Puts Cognitive Unemployment at 17.9 Percent in Its Fastest-Growth Case

  Anthropic's own scenario model spans from unemployment inside historical ranges to 17.9 percent cognitive unemployment depending on growth assumptions, published as an interactive explorer rather than a point estimate. Framing the labor question as a contested parameter space, authored by a lab, sets the terms academic and official forecasters must now rebut.

  Anthropic Research