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Nov 29, 2025 · 4 minAI & forecasting

The Prediction Trap: Why Predicting the Future Isn't Enough

Sophisticated predictive models that generate predictions that no one uses-hence the "prediction trap." AI is past-oriented by definition: historical data is its raw material. It identifies correlations, not causes. The real question is not "what could happen" but "what should we do." Winning companies in 2025 do not have better algorithms-integrate AI into decision-making. The shift in perspective: seeing AI not as a prediction technology, but as a decision-enhancement technology.

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