At its core, leadership is about enabling a group of people to succeed at a shared task. Good leadership, therefore, must be evaluated by whether goals are achieved to a meaningful degree—and whether people are satisfied with their contributions. This remains true even when the world around us shifts. New technologies, new rules of the game—or even no rules at all—require that leaders continuously revisit and adapt their decisions.
When a new technology like artificial intelligence (AI) emerges, organisations move through three critical phases: curiosity, usefulness, and normalisation. This framework has become evident through our research on the implementation of AI and digital transformation initiatives.
Phase 1: CuriosityFirst comes curiosity. What is this technology? What can it do? What are the opportunities—and the risks?
In this initial phase, it is crucial that both leaders and employees remain open-minded and willing to learn, while also unlearning outdated assumptions. Experimentation, exploration, and the willingness to fail fast—and learn quickly—are essential.
Many will recognise this phase from the recent AI boom: it’s characterised by energy, excitement, hype, and often the sense of an impending revolution.