❯ Anthropic launches an interactive model of the US economy in 2030, exploring AI effects on growth, wages and jobs

Scenario explorerAnthropic introduced an interactive tool for the US economy in 2030, allowing users to change assumptions about capability, adoption, autonomy, productivity and job-transition speed. It shows resulting growth and labor-market outcomes and compares expectations with those of 10,980 US respondents. It illustrates the transmission of assumptions rather than offering a single certain forecast.

Growth scenariosIn the tool’s modest, substantial and extreme scenarios, GDP in 2030 is respectively 1.6%, 8.3% and 32.4% above a no-AI baseline. These are differences in economic size by that year, not three annual growth rates. The most aggressive case assumes extensive automation of knowledge work, bringing job-transition pressure. Changing adoption and reemployment conditions changes the results.

DistributionA larger economy does not ensure equal gains for every class of worker. By representing jobs as tasks, the model helps separate capability improvements, business adoption and worker transitions. For corporate staffing plans, the pace of job restructuring is closer to operational reality than a single capability score. Public debate also needs to examine income distribution. These are scenario mechanisms, not labor-market changes that have already occurred.

▪ SIGNALAI capability, business adoption and worker transitions move at different speeds. Whether growth becomes broadly shared income gains depends on how those speeds interact.