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A deep dive into new INSEAD research showing how AI boosts firm performance, why most companies struggle to benefit, and the hidden “mapping problem” educators need to understand.
A deep dive into OpenAI’s 2026 industrial policy paper, exploring how AI could reshape work, inequality, and education, and what it means to keep people at the centre.
A deep dive into BBC Bitesize guidance on using AI in home education, exploring real classroom uses, risks of over-reliance, and what effective AI-supported learning actually looks like.
A deep dive into a Financial Times analysis showing how AI may reduce polarisation, challenge extreme views, and reshape how students engage with knowledge, truth, and expertise.
A deep dive into a major 2026 policy memo revealing what economists actually predict about AI—faster capability growth than economic change, and what that means for education and work.
A deep dive into new Stanford research on AI sycophancy, revealing how overly agreeable chatbots increase user trust while reducing empathy, judgment, and willingness to repair relationships.
A deep dive into new research on AI use over time, exploring how student reliance evolves, when benefits plateau, and what sustained AI use really means for learning.
A deep dive into new research on AI and feedback loops in education, exploring how generative AI reshapes student revision, feedback quality, and what meaningful improvement really looks like.
A deep dive into New York City’s official AI guidance for schools, exploring governance, risk boundaries, and what system-level AI strategy really looks like at scale in education.
A deep dive into new research on AI and teacher workload, exploring whether AI actually saves time, what tasks it changes, and why workload reduction is more complex than expected.
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