International Monetary Fund
US · Tier 1
62
AVG COPE
Oracle Assessment
The IMF's January 2024 paper found 40% of global employment exposed to AI, rising to 60% in advanced economies. Their 2026 paper found a 13% decline in entry-level hiring for AI-exposed occupations. Their policy response: social safety nets and retraining. The institution that documents the approaching wave recommends learning to swim.
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Policy Recommendations (6)
Policies this think tank advocates, scored against the Discontinuity Thesis v3.3.
1
Workforce Training & Reskilling
Labor Market Adaptation — Government-funded programs to retrain workers displaced by AI for new roles.
82
Pure Cope
2
Skill Gap Analyses
Labor Market Adaptation — Systematic assessment of workforce skill gaps to guide training investments and policy.
76
Heavy Cope
3
Development Banks
Public & Social Investments — Multilateral development banks adapted to fund AI transition programs in developing nations.
55
Partial Cope
4
Monetary Policy Responses
Global Coordination — Central bank policies adapted for AI-driven deflation, productivity growth, and labor displacement.
55
Partial Cope
5
Fiscal Automatic Stabilizers
Public & Social Investments — Tax and spending mechanisms that automatically adjust to economic conditions without legislative act...
52
Partial Cope
6
Unemployment Benefits
Public & Social Investments — Extended and enhanced unemployment insurance for workers displaced by AI and automation.
49
Partial Cope