The truth is, foresight has long been treated as an accessory, not a necessity. Teams worked hard to produce thick reports, build scenarios and analyze trends, but too often the work stayed on the shelf. Leaders would skim, nod politely, and move on to the next pressing issue, often an operational one. Foresight felt detached from the real conversations that actually shaped strategy.
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With all the attention AI has received lately, it’s easy to assume that strategic foresight might soon be another thing machines do better than people. After all, AI is incredibly efficient at processing large datasets, spotting correlations, and summarizing vast amounts of information in seconds. That kind of analytical speed (even with its caveats) can be extremely helpful for any organization working to understand change.
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Strategic planning has always been challenging. But today, the pace and complexity of change make it tougher than ever. Annual planning cycles that rely on past data feel increasingly out of sync with reality. To stay competitive, we need to do more than react: we need to anticipate, sense shifts as they happen, and adapt together when the change happens.
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