Why Scenario Planning Is Too Slow for Modern Strategy w/ Dr Mike Jackson
A CEO named Philip keeps sending his board back to the same trends without reaching a conclusion — the classic symptom of scenario planning trapped in a broken model. Dr Mike Jackson says AI is about to make that model obsolete. For decades, scenario planning meant expensive consultants, months of work, and a static 2x2 matrix of four extreme outcomes destined for a shelf. Jackson's Preempt platform replaces that with GPS-like foresight: continuously updated, data-dense, and available in 15 minutes, one day, or three, depending on the need. Built after a November 2022 realization that LLMs could finally do this work at speed, Preempt still keeps humans in the loop — including, in one case, human review by generals during a UK strategic defence exercise that outperformed a year-long government process. The warning is blunt: organizations still running scenario planning manually are falling further behind every single day this uncertainty compounds. Timestamps: 00:01:20 A CEO named Philip keeps sending his board back to the same trends without ever reaching a usable conclusion, the classic symptom 00:13:18 Traditional scenario planning's 2x2 matrix gets the basics right but breaks down: four static extremes can't capture real-world complexity 00:18:43 A November 2022 realization that LLMs could finally do this work at speed led directly to rebuilding the entire foresight platform 00:31:02 Preempt's foresight system was pressure-tested against a UK strategic defence review, with human generals still reviewing the final output 00:35:27 Organizations still running scenario planning manually are falling further behind every single day that uncertainty continues to compound
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