Increasing inequality and negative effects on job quality

Mitigation strategy

1. Establish comprehensive human capital investment mandates, compelling and incentivizing organizations to provide proactive **upskilling and reskilling programs** focused on developing competencies complementary to AI (e.g., critical thinking, complex problem-solving, and socio-emotional skills). Concurrently, implement **portable social safety nets** (e.g., flexible, tax-deferred worker retraining accounts and portable health/retirement benefits) to mitigate economic precarity for workers navigating task-level automation and job transition. 2. Enact targeted **labor market and regulatory reforms** designed to restore worker power and ensure the equitable distribution of productivity gains from AI. This includes clarifying and enforcing independent contractor classification rules to ensure proper employee benefits, loosening unnecessary occupational licensing restrictions to facilitate mobility, and actively promoting mechanisms for **collective bargaining** to afford workers a voice in AI deployment decisions and the adoption of alternative work models (e.g., four-day workweeks) as a form of profit sharing. 3. Require organizations to engage in ethical and transparent **workforce planning and job redesign**, strategically reallocating labor from automatable tasks to high-value functions requiring human judgment. This must be coupled with mandatory **governance and transparency protocols**, including clear communication about AI's impact on specific roles, institutionalizing independent human oversight for all AI-driven employment and personnel decisions, and establishing fair, bias-free metrics for evaluating performance in an augmented workplace.