CEO tenure recently dropped by nearly a full year to an average of just over six years. While the exact causes for the drop might be up for debate, what isn’t up for debate is that boards and investors now expect leaders to have a clear plan for how to strategically handle AI as it reshapes industries. To survive this moment, CEOs need a new set of skills to successfully chart a path forward and keep their tenure from being cut short.
Move faster—much faster
Artificial intelligence is evolving at a pace that outstrips traditional corporate planning cycles and decision-making timelines. The entire landscape can shift weekly, not quarterly. From 2023–2026, AI labs released dozens of major models at a pace of multiple launches per quarter and in many months, multiple launches per week.
Organizations need to start working at “the speed of technology,” rather than the traditional speed of their particular industry. For CEOs, that means learning to change gears quickly and lead teams through an AI-dominated landscape where new features and capabilities, as well as competitive threats and opportunities, are constantly emerging. The old cadence—annual planning, quarterly adjustments—is already obsolete.
But speed means nothing without clarity
Many boards are handing down AI mandates, yet those expectations are often too vague to be actionable. A directive to “embrace AI” or “increase the use of AI across the organization” does not answer the crucial question “to what end?” The goal could be productivity, faster innovation, stronger margins, better service or new revenue streams. Each objective implies a different strategy, a different set of investments and a different timeline.
It’s up to CEOs to bring clarity to the conversation and figure out how AI aligns with key organizational objectives and what outcome it is expected to drive. Without that specificity, AI is just a buzzword, not a business strategy.
Develop a hands-on understanding of AI’s capabilities—and its limits
CEOs don’t need to be engineers, but they do need a working understanding of what AI can and cannot do. That includes the complexity of implementation: the need for foundational datasets, the challenges of data quality and the reality that AI doesn’t magically create value without the right inputs.
It’s also worth gaining some hands-on experience with AI. One leader I recently spoke with spends a couple of hours each weekend experimenting with AI tools and building simple agents for himself, just to stay abreast of what this technology can do, how transformative it can potentially be, and what its limitations are.
That level of hands-on familiarity is becoming a baseline expectation, and it syncs up with a recent research report focusing on AI impact, where the number one recommendation is to define AI fluency as an expectation for all workers, including C-Suite leaders.
Rethink job roles
AI is reshaping what work looks like across every function: sales, finance, marketing, operations and beyond. CEOs must rethink job roles—and part of this involves pushing HR teams to think more broadly about how sophisticated technology like AI can transform long-standing processes and job duties.
This isn’t about replacing people with machines. It’s about redesigning workflows, rethinking roles and responsibilities, and ensuring teams are equipped to use AI to achieve core company goals and objectives.
Think like a product strategist—especially in services
As AI becomes more deeply embedded in company operations, CEOs—especially those of service organizations—need to adopt a product strategist mindset. With the rise of AI, services are becoming productized: modular, self-serve and powered more by technology than by people.
CEOs must be able to envision offerings as products, as discrete AI-powered solutions that customers can use and consume. Many leaders excel at market positioning or overall business strategy, but product thinking is a different skill entirely. That shift requires a new mental muscle.
Master change management
Given how rapidly AI is accelerating the pace of organizational change, CEOs must become exceptional change managers. Leaders must ensure the organization maintains cohesion and stays on track, operationally and strategically, even as it undergoes massive transformation.
A CEO who tries to sidestep this transformation by taking a wait-and-see approach with AI is already missing the boat. AI-enabled change is happening elsewhere, and there are competitors who are not waiting.
The recent resignation of Adobe CEO Shantanu Narayen might have simply been because he was ready to step down and do something else, but the lack of a clear AI strategy was clearly bringing pressure to bear.
The message is clear: CEOs cannot afford to be complacent. AI is a profoundly disruptive technology, and it will create winners and losers at a pace far faster than previous technological shifts. Not treating it with the priority it deserves is a risk no business—or CEO—can afford to take.
