Impact on Jobs

Mitigation strategy

1. Establish comprehensive, continuous reskilling and upskilling frameworks that prioritize the development of human-AI complementary skills, such as critical thinking, ethical reasoning, and complex problem-solving. Programs must be personalized, embedded within daily workflows, and guided by systematic, skill-based labor audits to proactively mitigate skill obsolescence. 2. Implement robust social safety net mechanisms specifically designed for AI-driven economic transition, such as dedicated AI Displacement Insurance (AIDI) or portable worker retraining accounts, to provide financial stability and support for career transitions. Concurrently, mandate formalized labor-management consultation and collective bargaining processes in the design and deployment of AI systems to ensure job quality and worker agency are protected. 3. Proactively restructure organizational roles and processes by shifting from rigid job titles to a dynamic, skill-based task framework, thereby fostering human-AI collaboration. This organizational redesign should focus on augmenting human productivity and creating new, high-value roles that leverage AI as a tool rather than simply pursuing automation-for-replacement.