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AI is reshaping industries, business models, and customer expectations. But success doesn’t hinge on the tech. The real make-or-break is leadership readiness: do your leaders have the skills to set direction, mobilize people, and embed AI into the culture?
Why it matters
Leaders without AI fluency misallocate resources, miss opportunities, and struggle to motivate teams. Leaders who get it drive innovation, make sharper bets, and show employees how AI fits into everyday work.
Three models to assess readiness
- General Framework
A seven-point scale for any executive, rating them from lagging to industry-shaping in how they understand, apply, and lead AI. It highlights red flags and gives clear next steps.
- AI Transformers (Business Leaders)
Executives who weave AI into strategy and culture. They don’t need deep technical expertise but must create value through vision, influence, and execution. Assessed on leading change, using data, understanding customers, and collaborating across functions. Maturity tracked from Inactive → Transformational. Every function, from HR to finance, should act as a transformer in some way.
- AI Builders (Tech Leaders)
The architects of AI systems. They design and scale solutions, anticipate risks, and lead technical teams. Rated on their ability to innovate, align with business goals, and mentor talent. Their challenge: avoid the tech silo and stay tied to business impact.
Why now
Assessing AI skills is no longer optional. It identifies gaps, sharpens development, and builds an AI-ready leadership pipeline. Done well, it embeds AI thinking into decisions, culture, and—critically—org charts, ensuring motivation and hiring align with transformation.
The takeaway
AI transformation isn’t about tools. It’s about whether leaders can turn ambition into execution. Organizations that systematically assess and strengthen AI skills will be the ones that not only keep pace but set it.
This article builds on original research and insights from Egon Zehnder consultants in Singapore, Washington D.C., Vienna, Palo Alto, Boston, and Milan.
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