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Shaping the Future of Learning: Education Readiness for the Age of AI

World Economic Forum, June 2026
World Economic Forum, June 2026

The paper details four major risks of unstructured AI adoption:

  • Cognitive atrophy (reduced opportunity for effortful thinking that builds neural pathways and critical faculties)

  • Hallucinations and misinformation (AI's fluent, confident output can be mistaken for reliability)

  • Breakdown of academic integrity (blurred lines around authorship and assessment validity)

  • Erosion of human connection (AI-mediated learning risking the relational, social and emotional foundations of education)


These risks are described as interconnected rather than separate problems, each intensifying when institutional, governance or pedagogical conditions are weak.


To address this, the report proposes an "AI Readiness Framework" organised around four levels – enabling foundations (governance, infrastructure, sustainability, financing), institutional capacities (academic integrity, innovation governance, well-being, community engagement), pedagogical practices (literacy frameworks, educator workload, assessments, educator agency) and learning experiences (inclusive access, problem-solving, lifelong learning, personalisation).


Rather than prescribing a single model, the framework offers "readiness signals" meant to help policymakers, school leaders, teachers, parents and students diagnose gaps and coordinate action across these levels, with the central message being that whether AI strengthens or undermines human learning depends not on the technology itself, but on the deliberate systemic choices made around it.


You can view the full report below.



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