Anthropic Launches Interactive AI Economic Scenario Explorer for US Jobs and Growth
Summary
- • Anthropic releases interactive tool modeling AI's impact on US jobs, wages, and growth through 2030
- • Based on Korinek et al. 2026 technical report on transformative AI economic scenarios
- • Moderate AI growth keeps unemployment stable; high-growth scenarios hurt knowledge workers most
- • Users input their own AI capability predictions and compare projected 2030 outcomes with others
Updates
Three scenarios named: 'Modest,' 'Substantial,' and 'Extreme'
Anthropic Institute explicitly labels the three futures; names signal the degree of AI-driven economic disruption researchers consider plausible by 2030.
Modest scenario: +0.5% GDP growth, +0.1pp unemployment by 2030
In the modest case AI adds less than half a point to GDP growth and barely moves unemployment — change comparable to the internet's early macroeconomic impact.
Substantial scenario: AI handles half of knowledge work autonomously by 2030
Economy grows at twice its historical rate, but knowledge-worker wages stagnate despite broader gains — 'bigger impact than the internet, or the railroad,' per researchers.
US economy baseline: ~$30T in annual value across tasks
Anthropic estimates all human, machine, and software tasks collectively produce ~$30T in annual value, forming the baseline for scenario modeling.
Extreme scenario: 17.9% knowledge-worker unemployment; labor share 60% → 45%
In the Extreme scenario (15% annual GDP growth, economy doubles every 4.5 years), knowledge-worker unemployment hits 17.9% and labor's share of national income collapses from 60% to 45%, even as aggregate societal wealth surges.
Capital owners capture most gains in Extreme scenario
A larger aggregate economy does not automatically translate to higher wages — in the Extreme case, gains flow disproportionately to capital owners, illustrating the distributional challenge policymakers must address.
User predictions benchmarked against 10,000+ surveyed Americans
The tool lets users compare their own AI capability assumptions against responses from a panel of over 10,000 Americans who completed the same survey, adding a crowd-sourced calibration layer to the scenario modeling.
Details
Anthropic Economics team releases interactive scenario explorer
Interactive tool lets users model how varying AI capabilities affect US employment, wages, and economic growth through 2030, based on Anthropic's formal technical research.
Grounded in Korinek et al. 2026 technical report on transformative AI
The explorer is built on 'Economic Scenarios for Transformative AI' — Anthropic's formal technical report on AI macroeconomic modeling and labor market projections.
Scenarios span business-as-usual to 2x historical GDP growth rate
In moderate scenarios, unemployment stays within historical norms and wages remain flat or rise by industry. Scenarios beyond 2x historical growth show significant divergence.
High-growth AI scenarios harm knowledge workers despite rising societal wealth
When AI drives unprecedented GDP growth, wages and job prospects for knowledge workers decline. Society becomes far wealthier, but the challenge becomes ensuring gains are broadly shared.
Economy modeled via US Dept of Labor O*NET task taxonomy
Every job is represented as a bundle of tasks. AI can augment, automate, leave unchanged, or create new tasks within each bundle — enabling granular sector-level modeling.
Complements existing Anthropic Economic Index tracking current AI use
While the Economic Index measures real-time AI adoption across the economy, the scenario explorer is forward-looking — showing what the 2030 economy could look like under different AI trajectories.
Types: Research = formal study or model; Stat = quantitative finding; Insight = analytical conclusion; Tech Info = methodological detail; Industry Update = broader context
What This Means
Anthropic is putting its macroeconomic modeling research directly in the hands of the public, letting anyone stress-test assumptions about AI's transformative potential. The central finding — that the most extreme AI growth scenarios create distributional challenges even as aggregate wealth rises — is a signal for policymakers and companies to plan now for how gains are shared with workers. The tool also positions Anthropic as a thought leader on AI's economic implications, going beyond safety and capability research to address labor market futures. This adds to a growing body of work from AI labs grappling openly with the economic disruption their technology may cause.