The Real AI Challenge Isn’t Technology. It’s Leadership.
A HR Leaders Forum in Amsterdam
- Date:
- 30 June 2026
At our ChapmanCG roundtable in Amsterdam, senior HR leaders gathered to discuss a topic that continues to dominate boardroom agendas: how organisations can unlock the opportunities presented by artificial intelligence while navigating the uncertainty, organisational change, and cultural shifts that inevitably accompany it.
What quickly became apparent was that the conversation was about far more than technology.
Across industries, organisations are wrestling with the same questions. How should AI be implemented? How do leaders demonstrate its value? What governance is necessary? How do businesses encourage experimentation while managing risk? And perhaps most importantly, how do they bring their people along on the journey?
One leader summed up the mood. AI is inspiring enthusiasm and hope, but also fear, worry, and doubt. The challenge for leaders is not to eliminate these conflicting emotions, but to acknowledge them and create an environment where progress remains a possibility.
AI Adoption Requires Leadership From Every Direction
There was widespread agreement that successful AI adoption cannot be driven solely from the top or emerge naturally from the bottom.
Senior leaders play a crucial role in setting direction, fostering understanding, and showing commitment. Boards and investors are increasingly expecting executive teams to articulate a coherent AI strategy and demonstrate how it supports long-term business goals.
At the same time, many of the most valuable use cases are identified by employees closest to day-to-day operations. Providing people with access to new technologies is only the first step; fostering confidence and opportunities to experiment is what ultimately drives adoption.
The consensus was clear: strategic intent must be matched with grassroots engagement if organisations are to achieve meaningful value.
Measuring Success Remains One Of the Biggest Obstacles
While enthusiasm for AI continues to grow, proving its impact remains challenging.
Discussions around productivity gains and efficiency improvements are common, yet many organisations still struggle to define what success actually looks like. Before measuring return on investment, leaders must first identify the outcomes they want to achieve and determine where AI can genuinely add value.
Equally important is determining where AI should not be used. The decision will vary based on an organisation's sector, products, customers, and appetite for risk.
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