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Exploration and Exploitation (Campbell Reading)

James March's 1991 formalization of a trade-off Campbell's framework implies but does not name — between refinement of the known (exploitation) and search for the unknown (exploration) — now tilted dramatically toward exploitation by AI.
James March's Exploration and Exploitation in Organizational Learning formalized the allocation problem every adaptive system faces: how to divide resources between exploiting what is currently known and exploring what is not yet known. Exploitation produces reliable near-term returns by refining existing knowledge. Exploration produces unreliable long-term returns by generating new knowledge through undirected search. March proved the optimal balance cannot be determined in advance, because the value of exploration is definitionally unknown at the time of investment. Organizations that exploit exclusively become supremely efficient at producing something the world no longer needs. Organizations that explore exclusively never accumulate the competence to extract value from their discoveries. Campbell's framework maps this tension onto its own architecture: exploitation is directed variation within the convex hull; exploration is blind variation reaching beyond it.
Exploration and Exploitation (Campbell Reading)
Exploration and Exploitation (Campbell Reading)

In The You On AI Field Guide

The AI moment represents the most dramatic shift toward exploitation in the history of organizational learning.

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