Building on AI’s Unfinished Foundation
AI is advancing rapidly, but its surrounding technological, industrial, and institutional architecture remains unsettled — meaning it has not yet been fully “platformed.” Until it is, most companies risk building on unstable ground. To navigate this, organizations should learn faster than they commit, build assets that survive architectural change, invest in complements rather than raw AI capability, and develop organizational capabilities that no shared model can replace.
