Artificial Intelligence, Automation, and the Economy
This report by the Executive Office of the President investigates the expected impacts of AI-driven automation on the U.S. job market and macroeconomy. It analyzes historical trends in technological change, predicts near-term labor market disruptions particularly affecting lower-skilled workers, and outlines three broad policy strategies: investing in AI development, educating and training workers for future jobs, and aiding workers through transitions while empowering labor.
Summary and content fields are drawn from the document text and are pending editorial review.
Who issued it
Who it governs
Policymakers, researchers, and citizens interested in the economic and labor market implications of artificial intelligence.
What the document contains
The report examines the macroeconomics of AI-driven automation, potential near-term and long-term effects on the labor market and income inequality, historical parallels with past industrial revolutions, and specific policy responses across education, training, safety nets, and labor standards.
It does not provide binding statutory regulations, specific technical compliance standards for AI algorithms, or legal enforcement mechanisms.
- AI-driven automation will continue to create wealth and economic growth, but its benefits will not be distributed evenly across society.
- Job displacements from automation are heavily concentrated among lower-paid, lower-skilled, and less-educated workers, putting downward pressure on wages and increasing inequality.
- Technology is not destiny; appropriate public policies and institutional choices can shape the direction of technical change and ensure broadly shared prosperity.
- The report outlines three primary strategies: investing in AI research and development, educating and training Americans for future jobs, and aiding workers in transitions while empowering labor.
- Policymakers must modernize the social safety net, including unemployment insurance and training programs, to cushion workers against near-term displacement shocks.
· Executive Summary · Economics of AI-Driven Automation · Policy Responses · Conclusion · Outreach and Development of this Report · Introduction · Economics of AI-Driven Automation (Detailed Analysis) · Policy Responses (Detailed Strategies)
How it scores
Each score is backed by a quote verified against the document text. Editorial review has not yet confirmed them.
Accountability
2/5Clear responsibility for AI outcomes
Policymakers should ensure that workers and job seekers are both able to pursue the job opportunities for which they are best qualified
Policy Responses
screening score · 2026-10-23
Fairness
3/5Non-discrimination and equitable treatment
Prioritizing diversity and inclusion in STEM fields and in the AI community specifically, in addition to other possible policy responses, is a key part in addressing potential barriers stemming from algorithmic bias.
Policy Responses
screening score · 2026-10-23
Human Dignity
0/5Respect for the inherent worth of persons
screening score · 2026-10-23
Human Oversight
2/5Humans remain in control of consequential decisions
Real-time supervision will also be required in exceptional, marginal, or high-stakes cases, especially those involving morality, ethics, and social intelligence that AI may lack.
Economics of AI-Driven Automation
screening score · 2026-10-23
Privacy
0/5Protection of personal data and private life
screening score · 2026-10-23
Transparency
0/5Openness about how AI systems work and are used
screening score · 2026-10-23
Enforcement
0/5Consequences and compliance mechanisms with real force
screening score · 2026-10-23
Impact Assessment
0/5Required assessment of an AI system's risks/impacts before or during use
screening score · 2026-10-23