CONCEPT
Intelligence Monoculture
The organizational fragility produced when institutions converge on the same AI tools, the same restructuring decisions, and the same workflow assumptions, creating a system-wide vulnerability profile that no individual organization can see but that a single disruption can reveal in all organizations simultaneously.
In ecology, a monoculture is the most fragile configuration a system can assume. A diverse ecosystem absorbs the loss of any single species because others fill the niche. A monoculture collapses entirely when the single species fails, because nothing can substitute.
Hyman Minsky identified the financial equivalent before 2008: the convergence of risk models across major financial institutions meant that when the models failed, they failed everywhere simultaneously, and the system had no internal diversity to absorb the shock. Intelligence monoculture is the AI economy’s version of this dynamic. As organizations converge on the same AI tools—the same models, the same coding assistants, the same deployment architectures—and eliminate the same categories of deep expertise in the same restructuring patterns, they produce similar vulnerability profiles at scale. A disruption that degrades any of the shared tools or invalidates any of the shared assumptions does not produce isolated adjustments. It produces simultaneous failures across organizations