Anthropic Models AI Impact: 32.4% GDP Growth Possible by 2030 in Extreme Scenario

Huo Xing Finance reports that Anthropic’s economics team has built a model to analyze the impact of AI on U.S. employment, growth, and unemployment. The model treats the economy as a combination of tasks categorized by the U.S. Department of Labor’s O*NET system, where AI can preserve, augment, automate, or create new tasks. The U.S. economy is described as having over $30 trillion in task instance value. Three scenarios are defined based on AI capabilities and adoption speed: Under the moderate scenario, akin to the internet’s impact, U.S. GDP increases by 1.6% by 2030 (to $36.3 trillion at 2025 prices), with a labor share of 59.4% and a capital share of 40.6%; under the substantial scenario, AI can perform half of all knowledge work, GDP rises by 8.3% (to $36.3 trillion), knowledge worker wages remain largely unchanged, and the labor share falls to 56.1%; under the extreme scenario, AI becomes significantly more efficient than humans in nearly all knowledge work and completes it almost entirely autonomously, GDP surges by 32.4% (to $44.4 trillion), knowledge worker wages decline by over 10%, the labor share drops to 45.2%, and unemployment exceeds typical recession levels. A survey of over 10,000 Americans in August found that typical responses aligned closely with the substantial scenario (GDP about 10% higher in 2030, unemployment around 5%), with approximately 10% of respondents nearing the extreme scenario. In all scenarios, GDP increases, but transformative scenarios require greater occupational transitions. The page provides a technical report and an interactive explorer.