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The field of strategy peaked in the 1990s. Pankaj Ghemawat, tracking the development of salient strategy frameworks over six decades, found that the number of genuinely new and influential frameworks reached twenty-five in the 1990s, dropped to thirteen in the 2000s, and fell to four in the decade after that. Richard Pascale's importance-weighted citation index, which had tracked the impact of new business ideas for decades, stopped being updated around 2000 — not because the task was complete, but because there was no longer enough new thinking with real impact to make the tracking worthwhile.
The field didn't collapse. Important work continued in specific domains. But the foundational tools — the five forces, the BCG matrix, disruptive innovation — were developed decades ago, and nothing replaced them at the level where the big picture of business is supposed to come together.
Then AI arrived — not to fill the gap, but to expose it. As operational and analytical work gets absorbed into automated systems, the remaining decisions are increasingly the ones that demand genuine strategic judgment. AI is not reducing the need for strategic thinking — it is making strategic thinking the thing everything else depends on. And the cost of not having developed it is higher than it has ever been.
If the thinking that matters most is the thinking that can't be automated, then developing it probably can't be automated either. It requires direct engagement with the dynamics — encountering them, reasoning through them, and experiencing their consequences firsthand. That points toward something more experiential, more direct, and more human than what most of our current tools offer.
This is the landscape against which our latest blog post — and, of course, our foundational theories, the new strategy framework, and the tabletop simulation OFMOS® Essential — should be assessed.
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