The CEO in the Age of AI – Part 2

In Part 1, I reflected on how AI is reshaping the role of the CEO, compressing decision cycles, accelerating access to information, and redefining how we think, operate, and lead. That shift is still unfolding. As we move forward, it’s worth grounding in what remains constant, and where leaders need to stay most intentional as these tools become more embedded in everyday decision-making.

Fundamentals Don’t Change

Competitive advantage has 2 primary forms:

• Valuable differentiation, resulting in higher pricing power, and/or
• Cost advantage, allowing more output and a lower selling price in-market

The speed of AI, the “table stakes” nature of using it, and the associated costs, tend to push leaders to lean organizations. Done recklessly, this threatens competitive advantage. 

This CEO’s Analysis – Sources of Pitfalls With AI

Mistakes (and significant costs) with AI don’t come from the technology in its current state; they arise from 2 sources:

• The Algorithms’ Nature:  LLMs want us to keep using them. This typically manifests in the form of repeated (and repetitive) questions, confirmation biases, or “fantasy numbers” that wouldn’t even be good for a lotto ticket
• Human Short-Cutting: The tendency of humans to surrender, however temporarily, our cognitive sovereignty because “someone” (using the pronoun “I”) on the other side gives a written response that is generally coherent or better, and picks up on the narrative and data cues we supply it.
  • Leadership is lonely.
    • There are things we can’t confide or disclose in others at all times, and we desire connection and answers. 
    • A rapidly responding algorithm could be mistaken for an accuracy engine or trusted advisor;
  • We must not take algorithmic responses at face value.

We can, and should, use the technology that’s available responsibly and flexibly, and adapt as it grows & spreads. I see AI as a form of digital life, different from carbon-based life, but nonetheless propagating itself.  

From Reactive to Proactive – Effective Use of AI = Leverage & Advantage

I’ve changed how my firm, ten+ years old, approaches the market. In the past, a lot of our best work started with a client bringing us a problem. We’d dig in, run the analysis, and respond. Our thinking was shaped by what was put in front of us.

Now, we find opportunities faster. We see patterns before they fully take shape, and spend human time understanding markets before there’s an immediate need tied to them. That allows us to walk into conversations with a clearer, more informed point of view.

We don’t respond to the question that’s being asked – that’s taking orders. We are evolving, with technology, to define what should be asked in the first place, and help our clients to grow, reduce cost, make smart investments and decisions and create more value.

That shift may sound subtle, but it changes everything. It moves you from reacting to demand to shaping it.

What AI Doesn’t Replace

For all of this change, there are parts of the role that haven’t gone anywhere.

AI doesn’t replace judgment. It doesn’t replace experience. It doesn’t tell you which risks are worth taking or where to focus your energy. If anything, those decisions become more important, because you have more options in front of you and fewer constraints slowing you down.

What AI does is remove friction. It shortens the distance between a question and a well-informed answer. It gives you the ability to explore more paths before committing to one.

But the responsibility of choosing the right path still sits with you.

The quality of the outcome still depends on how clearly you think, how honestly you assess tradeoffs, and how willing you are to challenge your own assumptions.

The Discipline That Endures

Competitive advantage still comes down to differentiation or cost, and while AI can amplify both, it can just as easily erode them if used without discipline. As the tools get faster and more capable, the real work of leadership becomes clearer: think critically, avoid shortcuts, and use AI to shape opportunities, not just respond to them. The technology expands what’s possible, but the outcome still depends on how well we choose, challenge, and execute.