{
  "title": "Global Economic and Financial Implications of Artificial Intelligence: Lessons from a Scenario Planning Exercise",
  "publication": "IMF Notes, April 3, 2026",
  "sourceUrl": "https://www.imf.org/en/publications/imf-notes/issues/2026/04/03/global-economic-and-financial-implications-of-artificial-intelligence-lessons-from-a-574924",
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  "summary": "This note synthesizes insights from a high-level workshop and scenario-planning exercise on the global economic and financial implications of artificial intelligence (AI) hosted by the IMF in December 2025.",
  "sections": [
    {
      "heading": "Overview",
      "content": "- Synthesizes insights from a high-level workshop and scenario-planning exercise on the global economic and financial implications of artificial intelligence (AI) hosted by the IMF in December 2025.\n- Characterizes AI as a macro-critical transition rather than a standard technology shock.\n- Emphasizes that the macroeconomic path will be shaped less by frontier capability alone than by:\n  - the speed and breadth of diffusion, and\n  - the readiness of institutions and infrastructure to absorb the technology.\n- Stresses that understanding AI’s potential and implications is crucial for the Fund’s ability to support its member countries with high-quality policy advice."
    },
    {
      "heading": "Key findings from the workshop and scenario-planning exercise",
      "content": "- AI is advancing rapidly and has the potential to restructure the global economy.\n- The trajectory and macroeconomic outcomes depend on diffusion and institutional readiness rather than solely on frontier AI capabilities.\n- Treating AI as a macro-critical transition implies different analytical and policy priorities compared with treating it as a conventional technology shock."
    },
    {
      "heading": "Policy implications and recommendations for the IMF and member countries",
      "content": "- Prioritize analysis and surveillance that account for AI as a broad macro-critical transition.\n- Focus IMF support on enhancing member countries’ capacity to absorb AI through institutions and infrastructure readiness.\n- Tailor policy advice to consider diffusion patterns and institutional constraints that shape macroeconomic outcomes."
    },
    {
      "heading": "Subject areas and keywords emphasized",
      "content": "- Subject: Artificial intelligence (economics), Automation, Debt sustainability analysis, Econometric analysis, Economic classification, External debt, Labor, Labor markets, Production, Productivity, Public financial management (PFM), Technology\n- Keywords: AI diffusion, Artificial intelligence, Artificial intelligence (economics), Automation, Debt sustainability analysis, Economic classification, Financial stability, Global, IMF Library, IMF note, Labor markets, Macroeconomic policy frameworks, Productivity, Scenario planning, scenario-planning exercise, Transformative AI, workshop participant\n\n---\n\n Content in this bundle\n\n- Executive Summary\n  - Executive Summary (Markdown version){rel=\"alternate\" type=\"text/markdown\"}\n  - Executive Summary (PDF){rel=\"external\" type=\"application/pdf\"}\n\n---\n\nSource: https://www.imf.org/en/publications/imf-notes/issues/2026/04/03/global-economic-and-financial-implications-of-artificial-intelligence-lessons-from-a-574924"
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    "Authors: Karim Barhoumi, Fabia A. de Carvalho, Michael Gorbanyov, Yosuke Kido, David Koll, Dragana Ostojic, Baoping Shang, Natalia T. Tamirisa, Sally Toms, Era Dabla-Norris, Anh D. M. Nguyen, Yunhui Zhao",
    "Published: April 3, 2026",
    "Series: IMF Notes",
    "DOI: https://doi.org/10.5089/9798229042482.068",
    "Synthesizes insights from a high-level workshop and scenario-planning exercise on the global economic and financial implications of artificial intelligence (AI) hosted by the IMF in December 2025.",
    "Characterizes AI as a macro-critical transition rather than a standard technology shock.",
    "Emphasizes that the macroeconomic path will be shaped less by frontier capability alone than by:",
    "Stresses that understanding AI’s potential and implications is crucial for the Fund’s ability to support its member countries with high-quality policy advice.",
    "AI is advancing rapidly and has the potential to restructure the global economy.",
    "The trajectory and macroeconomic outcomes depend on diffusion and institutional readiness rather than solely on frontier AI capabilities.",
    "Treating AI as a macro-critical transition implies different analytical and policy priorities compared with treating it as a conventional technology shock.",
    "Prioritize analysis and surveillance that account for AI as a broad macro-critical transition.",
    "Focus IMF support on enhancing member countries’ capacity to absorb AI through institutions and infrastructure readiness.",
    "Tailor policy advice to consider diffusion patterns and institutional constraints that shape macroeconomic outcomes.",
    "Subject: Artificial intelligence (economics), Automation, Debt sustainability analysis, Econometric analysis, Economic classification, External debt, Labor, Labor markets, Production, Productivity, Public financial management (PFM), Technology",
    "Keywords: AI diffusion, Artificial intelligence, Artificial intelligence (economics), Automation, Debt sustainability analysis, Economic classification, Financial stability, Global, IMF Library, IMF note, Labor markets, Macroeconomic policy frameworks, Productivity, Scenario planning, scenario-planning exercise, Transformative AI, workshop participant",
    "**Executive Summary**"
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