Protecting Workers from AI Displacement
Artificial intelligence is transforming our economy at an unprecedented pace, and millions of American workers stand at risk of being left behind. Goldman Sachs and McKinsey project that approximately 12 million jobs—roughly 7% of the American workforce—could be fully replaced by AI within the next decade.1 Research by economists Daron Acemoglu and Pascual Restrepo demonstrates that between 50% and 70% of changes in the U.S. wage structure over the last four decades stem from relative wage declines of worker groups specialized in routine tasks in industries experiencing rapid automation.2
The nature of this technological disruption differs fundamentally from previous waves of automation that primarily affected manufacturing workers. AI will predominantly disrupt knowledge work and professional services. Call center representatives face replacement by conversational AI systems. Clerical staff confront automated document processing. Software developers watch as AI generates code with increasing sophistication—Microsoft and Google already generate nearly 25% of their code using AI agents.1 Consultants and financial analysts see their analytical tasks automated by machine learning algorithms. The geographic impact will prove particularly severe in urban tech hubs like Boston, where these professional occupations concentrate.1
Early warning signs of this transformation already flash red across economic indicators. Recent Federal Reserve analysis documents a troubling correlation: occupations that embraced generative AI most intensively have shown the largest unemployment gains.3 This relationship suggests AI adoption directly displaces workers rather than merely augmenting their capabilities. Research shows that automation doesn’t just boost productivity—it eliminates jobs. When companies replace workers with machines, productivity may increase, but workers lose wages and employment. MIT economists found that industrial robots reduced both jobs and pay in the industries and cities where they were deployed.4
The Inadequacy of Past Policy Responses
We cannot rely on outdated policy responses that failed workers during previous economic disruptions. Trade Adjustment Assistance, the federal program designed to help workers displaced by foreign competition, helped fewer than 75,000 workers annually even as millions lost manufacturing jobs.1 Those workers who did receive TAA assistance earned 20% below their previous wages after completing retraining programs.1 The program’s failures illuminate why merely expanding existing safety net programs cannot address AI displacement’s scale and speed.
Some policy analysts propose simply requiring more advance notice before mass layoffs by expanding the Worker Adjustment and Retraining Notification Act.5 While modernizing WARN Act requirements might provide workers additional time to prepare for unemployment, such reforms do not address the fundamental economic transformation AI creates. Requiring 60 or 90 days notice before a layoff does nothing to ensure workers can find comparable employment in an economy where AI has automated their skills.
Congressional Action: What Has Been Proposed
Congress has begun grappling with these challenges, though legislative action remains nascent. The Workforce of the Future Act of 2024, introduced by Senators Butler and Hirono as S.5031, represents one of the most comprehensive federal responses.6 This bill authorizes the Secretary of Education to increase access to emerging technology education and upskill workers, with specific provisions to mitigate earnings or income losses to demographic groups most vulnerable to career displacement due to artificial intelligence.6 The legislation establishes an AI Workforce Research Hub within the Department of Labor to evaluate AI’s impact on the labor market and develop proactive solutions for job displacement.7
Representative Bonnie Bonamici and Representative Chris Deluzio introduced the No Robot Bosses Act in March 2024, which would protect the humanity and rights of workers during hiring, disciplinary, or firing processes.8 This legislation responds to the rising threat of misuse and abuse of AI technologies in employment decisions, establishing guardrails against algorithmic discrimination and automated management systems that reduce workers to data points.
The Jobs of the Future Act of 2023 directs the Department of Labor and the National Science Foundation to submit a comprehensive report to Congress on AI’s workforce impact, including recommendations to minimize job displacement and identify workforce training needs.7 While a study represents only a first step, systematic analysis must precede effective policy intervention.
Universal Basic Income: Security in an Automated Economy
As automation eliminates jobs across knowledge work sectors, a guaranteed monthly income provides crucial stability enabling workers to retrain, pursue education, care for family members, or seek quality employment rather than accepting whatever precarious work remains available. We support Representative Rashida Tlaib’s BOOST Act, which would provide $250 per month to all adults aged 19-67, funded through a modest tax on higher incomes.
UBI recognizes a fundamental moral truth: AI training relies on humanity’s collective intellectual output, drawing on centuries of human knowledge, creativity, and labor embedded in training data.1 Workers deserve to share in the economic gains resulting from automation rather than shoulder displacement losses alone.
Read more about Universal Basic Income →
Corporate Taxation to Fund Social Investment
Rather than forcing individual workers to absorb the costs of technological displacement, we must tax corporate AI beneficiaries to fund socially valuable work. When firms replace human workers with automated systems, they should pay taxes supporting those displaced workers and funding the social infrastructure our communities need—education, childcare, elder care, and community-building initiatives.1
Read more about Corporate Taxation on Automation →
Worker Empowerment Through Collective Bargaining
The 2023 Writers Guild strike demonstrated conclusively that workers can successfully negotiate AI protocols when they possess collective power.1 Writers secured contractual protections ensuring AI cannot replace them and that studios must disclose when AI-generated material is provided. Yet only 6% of private-sector workers currently belong to unions, and AI-exposed sectors show disproportionately low unionization rates.1
Without unions, workers face automation alone and powerless. Companies choose when and how to deploy AI, and individual workers have no say in whether their job gets automated away.4 Collective bargaining gives workers a seat at the table when these decisions get made. We must pass the PRO Act to strengthen labor protections and remove barriers to union organizing.
Read more about Strengthening Collective Bargaining →
Our Path Forward
AI does not have to mean economic devastation for millions of workers. With bold policy interventions combining Universal Basic Income, targeted corporate taxes on automation, and worker empowerment through collective bargaining, we can ensure that technological progress benefits everyone rather than just tech executives and shareholders. We must pass the Guaranteed Income Pilot Program Act to test UBI at scale. We must implement automation taxes redirecting corporate AI profits toward social investment and worker support. We must strengthen collective bargaining rights enabling workers to negotiate the terms of technological change rather than suffering its consequences passively.
References
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Ramamurti, B. (2024). “The Biggest Economic Issue No One is Talking About.” Substack. Retrieved from https://bharatramamurti.substack.com/p/the-biggest-economic-issue-no-one ↩ ↩2 ↩3 ↩4 ↩5 ↩6 ↩7 ↩8 ↩9
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Acemoglu, D., & Restrepo, P. (2022). “Tasks, Automation, and the Rise in U.S. Wage Inequality.” Econometrica, 90(5), 1973-2016. Retrieved from https://economics.mit.edu/sites/default/files/2022-10/Tasks%20Automation%20and%20the%20Rise%20in%20US%20Wage%20Inequality.pdf ↩
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Federal Reserve Bank of St. Louis. (2025). “Is AI Contributing to Rising Unemployment? Evidence from Occupational Variation.” On the Economy. Retrieved from https://www.stlouisfed.org/on-the-economy/2025/aug/is-ai-contributing-unemployment-evidence-occupational-variation ↩
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Acemoglu, D., & Restrepo, P. (2019). “Automation and New Tasks: How Technology Displaces and Reinstates Labor.” Journal of Economic Perspectives, 33(2), 3-30. Retrieved from https://pubs.aeaweb.org/doi/pdfplus/10.1257/jep.33.2.3 ↩ ↩2
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TechPolicy.Press. “Modernizing the WARN Act to Protect US Workers from AI Displacement.” Retrieved from https://www.techpolicy.press/modernizing-the-warn-act-to-protect-us-workers-from-ai-displacement/ ↩
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Congress.gov. (2024). “S.5031 - Workforce of the Future Act of 2024.” 118th Congress. Retrieved from https://www.congress.gov/bill/118th-congress/senate-bill/5031/text ↩ ↩2
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Economic Policy Institute. “Federal AI legislation: An evaluation of existing proposals and a road map forward.” Retrieved from https://www.epi.org/publication/federal-ai-legislation/ ↩ ↩2
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Rep. Bonamici, S. (2024, March). “Bonamici, Deluzio Introduce Legislation to Protect Workers from AI-Based Hiring Discrimination.” Retrieved from https://bonamici.house.gov/media/press-releases/bonamici-deluzio-introduce-legislation-protect-workers-ai-based-hiring ↩