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Which Skills Will Help People Most in an AI-Driven Future?

The piece contrasts divergent national approaches to AI in schools and traces the implication forward to the workforces those systems produce. Its core claim is that as access to frontier models becomes near-universal and undifferentiated, the scarce inputs shift to human judgement and originality — the parts of the work that cannot be recovered from a prompt.

Why it matters

Sharpens the AI-fluency versus AI-literacy distinction by arguing fluency commoditises and judgement does not: tool familiarity is table stakes conferring no advantage, and the capability worth protecting is forming an independent view before consulting a model.

Read at World Economic Forum

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