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https://arxiv.org/abs/2606.23633

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A set of exposure scores calculated in 2023 has become a central empirical input to the future of work debate.

The 2023 GPTs-are-GPTs occupational exposure scores are a central empirical input to future-of-work debatesUnassessed

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The first is structural, between what static exposure scores measure and what policy questions actually require.

Static AI exposure scores do not measure what AI labor policy questions actually requireSupported

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The policy-relevant work which ask who is harmed, who benefits, how, and when, continues to reference the static GPTs are GPTs scores without engagement with the methodological updates that would let these questions be answered more reliably.

Policy analyses citing the 2023 GPTs-are-GPTs occupational exposure scores do not engage later methodological improvementsUnassessed

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policymakers must widen their evidence base, engage workers as epistemic partners, and shift from prediction to preparedness

AI labor policy should shift its emphasis from predicting impacts to building preparednessUnassessed

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Better measurement matters, but it will not close the second gap alone.

Improved AI exposure measurement alone cannot close the researcher-policymaker coordination gapUnassessed

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Link: https://arxiv.org/abs/2606.23633
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