Rapid advancements in technical skills are fundamentally altering organizations' approaches to talent management. Artificial intelligence (AI) fluency is required in many jobs today, but an Aon study finds that only 35% of employees globally feel motivated to acquire new skills in response to AI.1 At the same time, senior leaders across many organizations are highly engaged in conversations around AI and its potential to optimize business processes and outcomes. The challenge is not a lack of interest or ambition, but a growing capability gap.
A comprehensive AI strategy is therefore shaped less by technology alone and more by leadership practices that foster a strong organizational culture — one where individuals feel supported to learn, experiment and adapt as AI reshapes everyday work. It also requires people to challenge legacy norms that may have served the organization well in the past, but now slow the rapid cultural shifts needed to pivot as AI disrupts business models.
Increasingly, AI transformation is a social challenge that influences trust, inclusion, decision making and the employee experience. As rapid skill changes occur, measuring culture and values is just as vital as assessing competencies.
“Culture is rising in importance as a core concept of how to evaluate leaders,” says John McLaughlin, Chief Commercial Officer for Aon’s Talent Solutions and Head of Assessment in Europe, the Middle East and Africa. “During periods of rapid change and transformation, it is easy for companies to lose sight of their foundational values when they underpin the very foundations of success.”