Policy & Advocacy Toolkit

Resources for policymakers, advocates, and community organizers responding to AI-driven labor displacement.

This section presents evidence about policy responses to AI-driven labor displacement. It does not advocate for specific legislation or endorse particular policy positions. Evidence strength ratings reflect the quality and quantity of supporting research, not political feasibility.

Quick Report (single ZIP)

Create a one-page report on AI labor displacement risk for your area — the fast path for a one-page report on one metro. Useful for briefings and advocacy.

Custom Report Builder

Build a multi-metro, multi-indicator PDF + CSV report. Select up to 12 metros and any combination of indicators. Inspired by KFF State Health Facts' Custom State Reports.

Select Metros

Selected: 0 / 12

Select Indicators

Tip: Use your browser's Print to PDF for a high-contrast light-mode export.

Policy Interventions

Evidence-based policy responses to AI-driven labor displacement, organized by type.

Grade Study count Design Replication
Loading rubric\u2026

Workforce Reskilling Programs

Evidence: Strong ⓘ

Government-funded retraining programs for workers displaced by automation. Examples: Singapore's SkillsFuture, Germany's Kurzarbeit, US WIOA programs.

  • Income supports during retraining: Stipends or UI extensions for workers in training programs
  • Industry-recognized credentials: Stackable certifications aligned with AI-resistant occupations
  • Employer tax credits: Incentives for companies that invest in reskilling rather than replacing
Related research →

AI Transition Insurance

Evidence: Emerging ⓘ

Insurance mechanisms to protect workers during AI-driven transitions, similar to trade adjustment assistance.

  • Wage insurance: Partial wage replacement for workers who take lower-paying jobs after displacement
  • AI displacement insurance: Sector-specific insurance pools funded by AI-adopting companies
  • Portability of benefits: Decouple healthcare and retirement from employment
Related research →

Education Reform

Evidence: Strong ⓘ

Modernize education to prepare workers for an AI-augmented economy.

  • AI literacy in K-12: Integrate AI concepts into standard curriculum
  • Community college partnerships: Industry-aligned programs for AI-adjacent skills
  • Lifelong learning accounts: Individual training accounts funded by employer contributions
Related research →

Worker Voice & Bargaining

Evidence: Moderate ⓘ

Strengthen mechanisms for workers to participate in AI adoption decisions.

  • AI governance committees: Include worker representatives in AI deployment decisions
  • Advance notice requirements: Mandated disclosure of automation plans (similar to WARN)
  • Data rights: Worker ownership and portability of performance data
Related research →

Social Safety Net

Evidence: Mixed ⓘ

Strengthen universal supports that don't depend on employment status.

  • Universal healthcare: Decouple health insurance from employment
  • Childcare support: Address the childcare barrier to reskilling and transition
  • Universal basic income pilots: Test unconditional cash supports as AI displacement grows
Related research →

AI Governance & Regulation

Evidence: Emerging ⓘ

Regulatory frameworks to ensure AI adoption is responsible and equitable.

  • Impact assessments: Require AI deployment impact studies for large employers
  • Anti-discrimination in AI: Ensure AI hiring and management tools don't discriminate
  • Transparency requirements: Disclose AI use in employment decisions
Related research →

State Legislation Tracker

AI workforce legislation from state legislatures, manually curated with last-verified dates.

Loading legislation…

How this data is collected

Data is manually curated from state legislature websites and Congress.gov. Last verified dates indicate when we confirmed the bill status. Legislative status changes frequently — verify with the source before citing.

Federal Workforce Programs

Federal programs relevant to AI-driven labor displacement and workforce transition.

Loading programs…

How this data is sourced

Program data is sourced from official government websites. Funding levels are approximate annual figures.

Framing the evidence

Talking Points

Key messages for engaging with policymakers, employers, and the public on AI labor displacement.

  • Labour-market stress in AI-exposed occupations is measurable today; this dashboard tracks it. Attribution to AI specifically is not established.
  • Early warning indicators give us time to prepare, but only if we act on them.
  • Reskilling works — but it requires sustained investment and income support during transition.
  • Augmentation-focused AI adoption (AI as tool) outperforms replacement-focused strategies for both workers and employers.

Data for Advocacy

Use our data to support your advocacy work. All data is public and downloadable.

Download data → Read methodology →

Connect

Organizations working on AI and labor policy: