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CONCEPT

External Intelligence

Arthur's 2017 term for the cognitive capability now residing not inside human workers but in the algorithms and machines of the autonomous digital economy—a layer of intelligence that every institution can connect to but no individual controls.
W. Brian Arthur coined the phrase external intelligence to describe what the second economy is becoming: not merely a faster version of the physical economy but a layer of autonomous, algorithmic cognition operating alongside human intelligence and gradually rendering many of its functions redundant. The concept arrives as the logical extension of his theory of increasing returns: the AI market is not just consolidating economically but consolidating cognitively, concentrating the capacity for reasoning, prediction, and decision into a small number of platforms on which the rest of civilization depends. In Arthur's framing, business processes now draw on vast libraries of intelligent functions that “greatly boost their activities—and bit by bit render human activities obsolete.” The phrase is deliberately unsettling: not that any individual loses their job in a single moment, but that the cognitive layer on which every institution increasingly depends is moving outside the institution itself, into the algorithms of a handful of corporations. External intelligence is
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