In the age of AI, executives can’t afford to skip the details – they must learn to lead with a deep understanding of how the technology affects their business.
AI is not just transforming business models – it’s redefining what it means to lead. And yet, many CEOs remain on the sidelines of the most critical conversation of our time. While AI’s visible influence on products and operations often dominates headlines, its most overlooked impact is unfolding in the corner office.
The silent disruption in the C-suite
AI is no longer an emerging concept. It’s embedded in everything, from predictive supply chains to boardroom dashboards. But the most powerful disruption AI is causing today isn’t technological. It’s strategic – and it’s unfolding quietly within the executive suite.
The issue isn’t a lack of awareness. It’s a lack of AI literacy among senior executives. Most CEOs understand AI is important, but few understand how to lead in a world shaped by it. We’re not talking about learning how to code; we’re talking about knowing how to ask the right questions, interpret risk and opportunity, and steer the business accordingly.
Without this fluency at the top, organizations risk more than misalignment. They risk superficial adoption, wasted investments and reputational damage. In short, AI will not fail your company. But the way you manage it might.
This leadership gap creates fertile ground for another rising concern: the growing trend of companies overselling their AI maturity – what I call AI washing.
The rise of AI washing
In 2024, I was invited as a guest on the Everyday AI podcast, where I introduced the term AI washing. Its a growing phenomenon where companies inflate or misrepresent their AI capabilities to appeal to investors, partners or customers. Whether it’s marketing teams announcing breakthroughs that don’t exist or leadership touting AI-powered systems that are barely functional, the intent is often more about perception than performance.
This facade is not harmless. AI washing erodes trust, diverts capital from true innovation and sets misleading expectations both internally and externally. As AI becomes more central to business operations, this credibility gap becomes a serious liability that cannot be closed with press releases.
At the root of AI washing lies a deeper issue: not deception, but a lack of informed leadership and oversight from the top.
Executive AI literacy: The missing link
A troubling pattern is emerging across industries: executives delegating AI to technical teams without understanding its strategic implications. It’s not enough to hire a Chief AI Officer and move on. Leadership must lead, especially in domains that transform the very foundation of how a company competes, creates value and delivers outcomes.
AI literacy at the executive level is not about technical skills; it’s about contextual fluency. It means understanding the limitations of AI – its dependency on data, its inherent biases and its ethical and regulatory risks. It means recognizing AI’s potential to reshape competitive advantage, redefine customer expectations and shift entire industries.
In a world increasingly governed by algorithms and automation, the role of human leadership becomes more – not less -important. CEOs can no longer afford to be passive observers. They must become fluent architects of transformation, grounded in the ability to strategically deploy AI where it matters most.
This lack of fluency leads many organizations to pursue the wrong solution: creating a siloed AI strategy rather than integrating AI into the broader strategic framework.
The flawed pursuit of an ‘AI strategy’
One of the most common mistakes we see today is the pursuit of a standalone ‘AI strategy’. This often emerges as a separate initiative, siloed from the company’s broader objectives – treated like a moonshot project or experimental arm.
But AI is not a strategy in itself. It is a strategic enabler. The real value lies in strategizing for AI – embedding AI across all levels of the strategic architecture. So during executive reviews, a better set of questions teams should be asking are these:
* At corporate level: How should AI shape the industries we serve (or enter)?
* At business level: Can AI deepen our competitive moat or redefine customer value? If so, how?
* At functional level: Where can AI accelerate efficiency, decision-making and innovation for our company?
In short, AI should be woven into the fabric of your strategy, not taped on top. To truly unlock AI’s value, CEOs must go beyond surface-level integration and instead reposition AI as a fundamental, strategy-enabling capability.
Repositioning AI: A strategic capability, not a sideshow
It’s time to reframe AI’s role. It is not the star of your strategy. It is the amplifier.
AI magnifies the strengths – and weaknesses – of your current business model. It can accelerate value creation across the four pillars of quality, innovation, efficiency and customer responsiveness. But only if aligned with your true north.
This is where the concept of the ‘magnifying lens’ becomes crucial. In my book Monarch: Resilience Through Evolution, I describe how AI should be used to zoom in on organizational misalignments and zoom out to discover emergent opportunities.
AI is not the destination. It is an enabler (one of many) for the growth journey of your business. The path forward for CEOs requires immediate, focused action.
What CEOs must do now
If AI is one of the most transformative technologies of our era, then leading with strategic clarity is the most essential leadership competency. Here’s where CEOs must act:
1. Audit your AI literacy
Identify your blind spots. Engage in candid dialogue with internal and external experts. What you don’t know may already be costing you.
2. Invest in executive-level coaching and advising
Boards and C-suites need insight, not just information. Consider working with neutral, independent consultants, where the focus is on executive fluency, strategic positioning and organizational alignment.
3. Make strategizing for AI a C-suite conversation
Don’t limit AI to ‘tech’ meetings. Integrate it into every strategic planning session. AI should inform your five-year road map, not just your IT budget.
4. End AI performance theater
Refrain from announcing capabilities your business cannot yet deliver. Build credibility through substance, not spectacle.
5. Don’t carry a hammer until you find a nail
Avoid adopting AI solutions just because they’re available or trendy. Let your business needs define where and how AI is applied. Otherwise, you risk solving the wrong problems or creating complexity where none existed.
6. Define what you mean by AI
Saying your company “uses AI” is as vague as saying you “use physics”. What exactly do you mean? Which methodologies are you leveraging, and why? Precision matters, because ambiguity breeds misalignment.
Without specificity, your teams can’t align on priorities, your vendors can oversell and your investors may misinterpret what’s actually under the hood.
An AI-informed CEO understands not just what these technologies are, but how, where and why to deploy them as enablers of the organization’s core sources of competitive advantage.
These steps aren’t just strategic; they’re imperative. And they culminate in a call for a new kind of leadership in an era of AI.
CEOs, step into the era you were meant to lead
AI is not just reshaping business; it’s reshaping leadership itself. In this new era, the greatest competitive advantage is not access to algorithms. It’s clarity of thought and courage of action.
The role CEOs haven’t played (yet) is that of the AI-literate strategist who leads with both vision and fluency. The cost of inaction is steep. But the opportunity to lead with purpose, power and precision? That’s within reach.
The era is being shaped. How will you shape your role within it?
Opinions expressed by The CEO Magazine contributors are their own.
