Do You Have a Capable Leadership Team to Unlock Value in the AI Era?

For years, CEOs built leadership teams around a relatively straightforward formula: operational scale, functional expertise, execution discipline, and cultural fit.

Could the executive scale a business? Lead a transformation? Drive operational performance? Manage complexity?

Today, the bigger question CEOs and Boards need to ask is: Can your leadership team use AI to increase productivity, accelerate innovation, improve decision-making, and create sustainable competitive advantage?

If you are not actively evaluating your leadership team through that lens, you should be. AI is quickly becoming a defining factor in long-term competitiveness. Leadership teams that fail to thoughtfully embed AI into strategy, operations, product development, customer experience, and decision-making risk putting their organizations at a long-term structural disadvantage.

AI Has Changed the Requirements of Leadership

Two years ago, many companies approached AI by isolating responsibility within one technical leader or outside expert. What companies are now realizing is that AI cannot remain isolated within a single function or leader, as we have quickly moved into AI specialization for specific functions and industries. The pace of change is simply too fast, and every member of the C-suite now needs a much stronger understanding of how AI can impact their function, operations, and enterprise value creation.

AI fluency is now table stakes. It is no longer simply a literacy issue - it is a value creation issue.

More importantly, leaders need to have a clear point of view on where AI can create immediate business impact, whether through revenue acceleration, operational efficiency, workflow optimization, or cost reduction.

Leadership teams will also need to adapt to a fundamentally different management environment, where executives are not only leading people, but overseeing AI-enabled systems and agentic technologies capable of making automated decisions on behalf of the organization. That requires an entirely different set of leadership capabilities, operational disciplines, and governance considerations.

In private equity-backed and transformative global corporations, leadership teams need to understand how AI aligns with investment timelines, operational priorities, capital raise strategy, and broader value creation goals.

The Best Leaders Are Building AI Ecosystems

The strongest C-suite leaders today are building ecosystems around themselves — networks of operators, advisors, technology partners, and functional experts who help them stay ahead as the landscape quickly evolves.

Importantly, this cannot become the responsibility of a single centralized “AI leader.” The most effective organizations are creating leadership cultures where every executive takes ownership of how AI impacts their function, their teams, and the broader business.

The goal is not to chase every new tool, but to develop the judgment to identify which technologies and process enhancements create measurable value, and do not significantly increase organizational risk. A delicate balance.

The gap between executives who embrace this AI shift and those who resist it is beginning to widen quickly.

In many ways, this represents one of the largest organizational and cultural shifts leadership teams have faced in decades — requiring not only technology adoption, but significant change management, cross-functional alignment, and executive-level buy-in across the enterprise.

The Leadership Questions CEOs Should Be Asking

As CEOs evaluate current leadership teams and think about future succession planning, the criteria itself are evolving.

If you are evaluating whether your current leadership team can take the business into the AI era, these are some initial questions CEOs should be asking to assess their team members:

Mini AI Leadership Roadmap

• Which leaders can connect AI and technology investment directly to enterprise value, operational performance, and business outcomes?
• Who can rethink workflows, operating models, and decision-making rather than protecting legacy ways of working?
• Which executives demonstrate the curiosity, creativity, and commercial judgment required to experiment responsibly with AI?
• Is there a modern, AI-focused CIO or CTO capable of acting as the central quarterback for integration across the enterprise, partnering successfully with business leaders and driving cohesive execution?

Companies That Adapt Fastest with AI-Ready Leaders Will Have the Advantage

The companies that emerge strongest will be the ones building leadership teams capable of making smarter, more informed decisions as AI reshapes industries, operating models, and competitive dynamics around them. CEOs will need to determine quickly which leaders can evolve alongside that change, and which may struggle to keep pace with it.

More than ever, success will come down to leadership judgment — knowing where AI can create value, where it introduces risk, and how to apply it responsibly across the enterprise. In this era of AI, leadership teams will ultimately be judged not by their familiarity with AI, but by their ability to translate it into sustainable enterprise value.