{
  "title": "New Skills and AI Are Reshaping the Future of Work",
  "publication": "IMF Blog, January 14, 2026",
  "sourceUrl": "https://www.imf.org/en/blogs/articles/2026/01/14/new-skills-and-ai-are-reshaping-the-future-of-work",
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  "summary": "Policy choices will determine whether workers and firms are adequately prepared for the AI revolution",
  "sections": [
    {
      "heading": "Overview",
      "content": "- Author: Kristalina Georgieva\n- Date: January 14, 2026\n- Central thesis: Policy choices will determine whether workers and firms are adequately prepared for the AI revolution. Technological change creates both disruption and new opportunities; proactive policy can shift outcomes toward broader shared gains."
    },
    {
      "heading": "Demand for New Skills",
      "content": "- Scale of demand:\n  - \"one in 10 job postings in advanced economies\" require at least one new skill.\n  - \"one in 20 in emerging market economies\" require at least one new skill.\n- Occupational and sector patterns:\n  - Professional, technical, and managerial roles show the most demand for new skills.\n  - IT accounts for \"more than half of this demand.\"\n  - Sector-specific trends: healthcare—surge in telecare and digital health skills; marketing—increasing demand for social media expertise."
    },
    {
      "heading": "Wage and Employment Effects",
      "content": "- Wage premiums:\n  - In the United Kingdom and the United States, job postings that include a new skill tend to pay about \"3 percent\" more.\n  - Openings with \"four or more new skills\" can pay \"up to15 percent\" more in the United Kingdom and \"8.5 percent\" more in the United States.\n- Local economic effect:\n  - In the US, regions with higher adoption of new skills saw employment rise by \"1.3 percent for each 1 percentage point increase in the share of job postings that require new skills over the past decade.\"\n- Distributional effects:\n  - High-skill and low-skill workers tend to gain the most; middle-skill roles (e.g., routine office jobs) are being squeezed.\n- AI-specific effects:\n  - \"Nearly 40 percent of global jobs\" are exposed to AI-driven change.\n  - Employment levels in AI-vulnerable occupations are \"3.6 percent lower after five years\" in regions with high demand for AI skills compared with regions with less demand.\n  - Emerging evidence from the US indicates generative AI adoption reduces entry-level hiring—especially for tasks that can be automated."
    },
    {
      "heading": "Global Readiness (Indexes and Country Groupings)",
      "content": "- Analytical tools:\n  - Skill Imbalance Index: reflects relative weight of potential future new skill demand versus supply, using the US as a benchmark.\n  - IMF AI Preparedness Index: focuses on preparedness across four areas relevant to smooth AI adoption.\n- Country groupings by Skill Imbalance Index:\n  - High demand, low supply (need investment in training and STEM): Brazil, Mexico, and Sweden.\n  - High supply, more modest demand (need to stimulate innovation and firm creation): Australia, Ireland and Poland.\n  - Emerging and low-income countries with limited demand and supply: need both sets of policies.\n- Skill Readiness Index leaders: Finland, Ireland, and Denmark.\n  - Common features: robust investment in tertiary education and lifelong learning programs."
    },
    {
      "heading": "Policy Recommendations and Actions",
      "content": "- Skills and education:\n  - Invest in training and ensure better education in science, technology, engineering, and mathematics.\n  - Redesign education systems for an AI-driven economy to emphasize cognitive, creative, and technical skills that complement AI.\n  - Provide retraining access for workers at risk of displacement.\n- Labor market and mobility:\n  - Deploy policies to help workers adapt and acquire new skills and remain engaged in the workforce.\n  - Enhance worker mobility through affordable housing and flexible work arrangements.\n- Competition and firm dynamics:\n  - Strengthen competition policy and facilitate entry of new firms to prevent concentration of market power from acquisitions aimed at capturing scarce talent.\n  - Stimulate innovation and improve business access to finance to help firms absorb available talent.\n- Social protection:\n  - Improve social protection to support those facing difficult job transitions and facilitate reintegration into the workforce.\n- Cross-cutting emphasis:\n  - Policy choices can turn disruption into opportunity; success requires bold steps now to invest in skills, support transitions, and keep markets competitive so innovation benefits everyone.\n\nSource: New Skills and AI Are Reshaping the Future of Work (IMF blog, January 14, 2026) by Kristalina Georgieva\n\n---\n\n\n References\n\n- Our latest analysis\n\nSource: https://www.imf.org/en/blogs/articles/2026/01/14/new-skills-and-ai-are-reshaping-the-future-of-work"
    }
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    "Authors: Kristalina Georgieva",
    "Published: January 14, 2026",
    "Author: Kristalina Georgieva",
    "Date: January 14, 2026",
    "Central thesis: Policy choices will determine whether workers and firms are adequately prepared for the AI revolution. Technological change creates both disruption and new opportunities; proactive policy can shift outcomes toward broader shared gains.",
    "Scale of demand:",
    "Occupational and sector patterns:",
    "Wage premiums:",
    "Local economic effect:",
    "Distributional effects:",
    "AI-specific effects:",
    "Analytical tools:",
    "Country groupings by Skill Imbalance Index:",
    "Skill Readiness Index leaders: Finland, Ireland, and Denmark.",
    "Skills and education:",
    "Labor market and mobility:",
    "Competition and firm dynamics:",
    "Social protection:",
    "Cross-cutting emphasis:",
    "[Our latest analysis](https://www.imf.org/en/publications/staff-discussion-notes/issues/2026/01/09/bridging-skill-gaps-for-the-future-new-jobs-creation-in-the-ai-age-572136?cid=bl-com-SDNEA2026001)"
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