AI's Double-Edged Sword: Boosting Global Growth While Disrupting 40% of Jobs Worldwide

February 20, 2026
AI's Double-Edged Sword: Boosting Global Growth While Disrupting 40% of Jobs Worldwide
  • AI could accelerate global growth while disrupting a large portion of the global workforce, with up to 40% of jobs affected worldwide and a split of 40% impact in emerging markets and 60% in advanced economies.

  • IMF research estimates AI could lift global GDP growth by about 0.8%, potentially pushing expansion beyond pre-pandemic levels.

  • Policymakers must prepare for the disruption by equipping workers with a learning-to-learn mindset and adaptability, especially for entry-level roles.

  • Policy reform and education are crucial to align AI adoption with inclusive growth and to prepare the labor force for AI-driven changes.

  • Guardrails are needed to ensure AI benefits protect dignity and human rights without stifling innovation; Europe favors efficient regulation, aiming for deeper capital markets, freer movement of skills, and simpler rules.

  • India is highlighted for democratizing AI, with reforms in taxation and labor markets to boost competitiveness and readiness for AI-driven changes.

  • Industry leaders stress that AI should be treated as a fundamental operational shift, not just a minor upgrade.

  • Displacement must be addressed with accommodations for workers and a focus on fairness and inclusion amid AI adoption.

  • Denmark’s flexible labor markets with strong social security is proposed as a blueprint for managing AI transitions.

  • Trade will continue in a multipolar world, even as regional and bilateral agreements adapt to tensions and shifts from AI-driven change.

  • Climate leadership remains tied to AI-enabled growth, with India potentially driving progress through initiatives like the International Solar Alliance.

  • International cooperation and coordinated reforms in education—emphasizing technical skills, adaptability, openness, and lifelong learning—are essential to navigate the AI transition.

Summary based on 12 sources


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