Leading at the speed of AI

For years we’ve told CEOs that focus is everything.

Define your strategy.

Commit to a clear plan.

Execute relentlessly.

But in the age of AI, many CEOs are asking a new question: Does the traditional playbook still apply?

At a recent HyperscaleCEO meeting in London, one consistent theme kept surfacing: “It’s almost impossible to keep up.”

And it’s true. 

The pace of change in AI is extraordinary. New models emerge constantly. Entire product categories are being reinvented. Even the most capable leadership teams are struggling to process the sheer volume of change. 

Our human brains are simply not built for this speed.

For many CEOs, this raises a deeper question: how do you lead when the landscape shifts faster than your strategy cycle?

Focus Still Matters, but It Must Evolve

This doesn’t mean abandoning focus. Companies that chase every shiny new idea rarely build anything meaningful.

The most effective CEOs I work with today do two things simultaneously: they maintain clarity about the mission while giving themselves and their teams flexibility in execution. The destination remains clear, but the path forward is adjusted more frequently as new opportunities and challenges arise.

One practical way to think about this is to shorten the strategic horizon. Traditional strategy often worked on multi-year planning cycles. In the AI era, that timeframe is compressing dramatically. Think of this as 90-day strategic sprints. The long-term ambition of the company remains intact, but each quarter is a chance to test assumptions, integrate new technologies, and refine the path forward.

This doesn’t mean abandoning strategy, rather it means treating it as a living, evolving system rather than a static document.

Curiosity at Scale

Another really great discipline I see among successful CEOs in this environment is relentless curiosity.

They aren’t trying to become AI researchers themselves. Instead, they are deliberately creating ways to absorb what is happening at the frontier. They spend time with builders, often building themselves using natural language tools such as Claude Code or Lovable. Most importantly, they actively drive experimentation and usage of the most advanced AI tools inside the organisation, creating forums where teams share learnings. 

As I often say: “You become the Chief Learner Officer of the organisation”. Without that knowledge it becomes nearly impossible to steer your company through the rapidly evolving environment we are in.

Building for Adaptability

Ultimately, the real advantage in the AI era is adaptability. It's fair to assume that whatever you are building, especially if you are using someone else’s tools, has the potential to be replicated within a few months or quarters.

Consequently, speed is everything: those who experiment quickly, learn rapidly and integrate new capabilities faster than their competitors will gain a decisive advantage. This requires a culture that balances exploration with accountability and keeps the organisation aligned around a clear mission.

My Key Takeaway

The CEOs who will thrive in the AI era will not be the ones who try to predict the future perfectly, but those who build organisations capable of learning, adapting, and evolving faster than the market around them.

Questions for Reflection

1. Where in your organisation have you created real space for experimentation with AI?

Is your team encouraged to explore new capabilities and test ideas quickly, or are they still constrained by processes designed for a slower-moving technology cycle?

2. Are you holding clarity on the mission while allowing flexibility in the path to get there?

In other words, is your long-term ambition clear to the organisation, while giving teams permission to adapt how they execute as the landscape evolves?

3. What mechanisms have you put in place to stay close to the frontier?

Who are you learning from, what conversations are you having and how are you ensuring that both you and your leadership team continue to absorb what is changing in the AI ecosystem?

Image credit: Stockcake