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Why do heavily resourced mega projects still fail?
As capital programs grow increasingly complex, success depends not only on engineering mastery but also on the ability to integrate diverse disciplines under extreme uncertainty.
Learn how to avoid the "expertise trap" and cultivate the new AI-native leadership archetype before your competitors do.
A Debate Born at Oxford
This collaboration was born out of a long standing debate between its authors. Jamie and Atif first connected during the MSc in Major Projects at Oxford’s Saïd Business School. Today, Jamie serves as a Senior Advisor for Foresight Works, the AI company Atif co-founded.
Over the years, they frequently debated the true impact of leadership on the success of complex mega projects. With the advent of AI, they set out to answer a new, critical question: Could this technology not only improve project delivery, but also radically expand the talent pool from which we draw leaders for these highly complex, temporary organisations?
The Hedgehog, the Fox, and the Machine
In our joint research with Foresight Works, "The Hedgehog, the Fox, and the Machine," we explore this exact leadership paradox. Drawing on in-depth executive interviews, we reveal how AI acts as an "asymmetric enabler" that disproportionately strengthens cross-disciplinary integrators.
Learn how to avoid the "expertise trap" and cultivate the new AI-native leadership archetype before your competitors do.