The risk that arises when strategic analysis relies on a single AI model's worldview, training biases, and reasoning patterns. Just as agricultural monoculture creates vulnerability to a single pathogen, intellectual monoculture means every analysis shares the same blind spots, cultural biases, and failure modes.
If the model underweights tail risks, every recommendation it produces will underweight tail risks. Multi-agent and multi-LLM architectures are the primary defense against intellectual monoculture, introducing the diversity of perspective that prevents systematic blind spots from compounding into catastrophic decision failures.