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The Abundance Paradox

The structural finding that every expansion of the information supply reduces the labor of acquisition while increasing the labor of evaluation — with the net effect of intensifying rather than reducing cognitive demands.
The abundance paradox is Ann Blair's term — extrapolated from her comparative study of information-management crises across six centuries — for the counterintuitive finding that more information does not reduce cognitive labor but reallocates it from acquisition to evaluation, typically with a net increase. The logic of material abundance (when food becomes plentiful, the labor of obtaining food decreases) does not transfer to information. When information becomes plentiful, the labor of obtaining information decreases — but the labor of determining which information is worth obtaining increases by a greater amount, because the ratio of valuable to valueless material typically worsens as the total supply grows. The individual's total cognitive burden increases, not despite the abundance, but because of it.
The Abundance Paradox
The Abundance Paradox

In The You On AI Field Guide

The paradox explains the experimental finding — documented in the Berkeley study of AI adoption — that AI tools do not reduce the total amount of work but intensify it. Workers complete more

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