• White-collar job losses: 2024–2025 saw accelerating layoffs in tech, finance, consulting, and other professional services, with AI and automation cited as key drivers.

• Slow job market recovery: Payroll revisions reveal weaker hiring than initially reported, particularly in higher-skill occupations.

• Skills gap: Many displaced workers lack pathways into high-demand growth sectors such as healthcare, renewable energy, and advanced manufacturing.

• Public confidence: Workers increasingly fear innovation equals instability. Without trust, AI adoption risks backlash and slower progress.

Immediate Actions (0–6 months)

• Emergency Workforce Transition Grants: Federal funding to state workforce boards for rapid reskilling and placement into high-demand sectors.

• AI Workforce Protection Office (task force): Temporary expansion of the National AI Task Force to track displacement, publish transparent data, and coordinate with the Department of Labor.

• Public-Private Certification Pathways: Co-invest with industry and universities to provide free certifications in AI tools, healthcare technology, and green jobs.

• Workforce Impact Audits: Require large firms adopting AI to publish workforce impact statements and fund employee transition programs.

• Universal AI Literacy Program: Embed AI literacy, ethics, and digital rights into K–12, higher education, and adult learning.

• Sector-Specific Transition Programs: Reskill displaced finance, law, and tech workers into renewable energy, healthcare, and cybersecurity—industries with labor shortages.

• Federal-State Innovation Hubs: Create regional hubs combining training, AI safety testing, and business incubation to strengthen local economies.

• Permanent Federal AI Workforce Office: Establish a standing body to oversee workforce impacts, audits, and compliance.

• AI-Driven Labor Market Forecasting: Use predictive models to anticipate hiring shifts and guide proactive reskilling policy.

• Global Collaboration: Work with OECD, EU, and others on workforce protections and ethical AI standards.

• Equitable Growth Strategy: Ensure productivity gains translate into higher wages, portable benefits, and stronger safety nets.

• Year 1: Stabilization of white-collar job losses; at least 1M workers enrolled in reskilling programs.

• Year 3: Clear national transition pathways into growth sectors; job creation begins to balance displacement.

• Year 5: Institutionalized AI governance and labor forecasting reduce shocks; white-collar employment stabilizes.

• Beyond: AI adoption paired with human resilience, ensuring competitiveness and worker security.

The Workforce Resilience Framework avoids partisanship by focusing on shared priorities: job security, economic growth, and stability. By acting now, government can demonstrate that innovation and workforce resilience are not competing goals, but complementary ones.

• Mitigation Plan = corporate accountability. “If you deploy AI, here’s how you must safeguard your workforce.”

• Resilience Framework = government empowerment. “Here’s how we’ll help workers adapt, retrain, and thrive no matter what companies do.”

Together, they form a two-pillar strategy:

• AI Agent Workforce Impact Mitigation Plan → Corporate & regulatory safeguards

• Workforce Resilience Framework → Worker & government support systems

• % of displaced workers enrolled in federally funded reskilling programs.

• Median duration of unemployment among white-collar workers.

• Number of sector-specific certification programs launched (healthcare, renewables, cybersecurity).

• Uptake of AI literacy curricula across K–12 and higher education.

• Worker trust indices in job market stability.