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first_img Anthropic released an AI economic scenario, predicting a 32.4% increase in the U.S. GDP by 2030 under extreme conditions

Anthropic's economic team builds models to analyze the impact of AI on employment, growth, and unemployment in the United States. The model views the economy as a combination of tasks based on the U.S. Department of Labor's O*NET classification, where AI can keep tasks unchanged, enhance, automate, or create new tasks. The U.S. economy is described as having a task instance value of over $30 trillion.Three scenarios depend on AI capabilities and adoption speed: the moderate scenario is similar to the internet, with U.S. GDP increasing by 1.6% by 2030 ($34.1 trillion in 2025 prices), labor share at 59.4%, and capital share at 40.6%; in the substantial scenario, AI can perform half of knowledge work, GDP increases by 8.3% ($36.3 trillion), and wages for knowledge workers remain roughly stable, with a labor share of 56.1%; in the extreme scenario, AI is much more efficient in the vast majority of knowledge work and completes it almost entirely autonomously, with GDP increasing by 32.4% ($44.4 trillion), wages for knowledge workers dropping by over 10%, a labor share of 45.2%, and an unemployment rate exceeding typical recession levels.A survey conducted in August with over 10,000 Americans showed that typical responses were close to the substantial scenario (2030 GDP about 10% higher, unemployment rate about 5%), with about 10% of respondents nearing the extreme scenario. GDP increases in all scenarios, and transformative scenarios require more job transitions. The page provides a technical report and an interactive explorer.

first_img The Economist estimates that AI has created approximately 1 million jobs in the United States

The Economist estimates that AI has created about 1 million new jobs in the United States so far, far exceeding the approximately 200,000 jobs cut due to AI since mid-2023. This conclusion is based on the employment data for August released by the U.S. Bureau of Labor Statistics on September 4: the U.S. economy added 162,000 jobs, and the unemployment rate remained at 4.1%. The unemployment rate for young people aged 20-24 is now close to its lowest level in decades compared to the overall unemployment rate.Job growth mainly comes from high-skilled positions directly serving AI and blue-collar jobs driven by data center construction. Since 2022, about 730,000 jobs exceeding the trend line have been added for engineers, software developers, mathematicians, and data scientists. The chief economist at Burning Glass Institute estimates that currently about 1% of professional jobs in the U.S. can be classified as AI jobs, with that proportion reaching 4% to 5% in the fields of computer and life sciences. Spending on data center construction has increased by 60% within a year, leading to a rise in demand for electricians, HVAC technicians, and others. Data from Indeed shows that salaries for data center installation and maintenance jobs are about 40% higher than similar positions.Customer service positions have shrunk by about 10% since January 2023, and administrative assistants have decreased by about 15%. Microsoft and Meta have reduced staff while restructuring their businesses around AI, and companies like Block and Intuit have replaced some manual labor with automation tools. On average, U.S. companies announce about 16,000 layoffs related to AI each month. Economist Noah Smith points out that it is currently difficult to find occupations eliminated by AI in labor data.
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