AI is exceptionally good at generating possibilities.
Ask it for five growth strategies, ten positioning ideas, or twenty ways to improve the customer experience, and it will deliver them almost instantly. In many organisations, the problem is no longer a shortage of ideas; if anything, the opposite is true. Leaders are increasingly confronted with an abundance of possibilities.
Yet this abundance creates a new challenge.
The machine can present alternatives, compare scenarios, and highlight opportunities, but it cannot choose which path to take. Nor can it fully appreciate the financial, cultural, or strategic consequences of that choice.
That responsibility remains human.
This is where the value of expertise is shifting. In the past, expertise was often associated with gathering information and generating recommendations.
Today, information is abundant, and recommendations are increasingly automated.
What becomes more valuable is the ability to apply judgment within a specific context and to decide which answers matter.
A successful decision is rarely based on data alone. Rather, it reflects the realities of a particular organisation, its culture, ambitions, constraints, and appetite for risk. AI can provide the map, but humans must still decide where they want to go and why.
Positioning Requires Sacrifice
Positioning provides another useful example.
Many companies still treat positioning as a marketing exercise. In reality, it is a business decision. It determines where a company chooses to compete, how it creates value, and which opportunities it deliberately ignores.
AI can analyse competitors, identify market trends, and suggest strategic alternatives. But what it cannot do is make a conscious sacrifice in pursuit of a long-term vision.
Positioning often requires choosing what not to do. It means rejecting attractive opportunities that distract from a desired future. It requires intent, conviction, and occasionally the courage to move against prevailing market logic.
These are not optimisation problems. They are judgment calls.
And judgment remains human.
The New Architecture of Expertise
As intelligence becomes increasingly accessible, the nature of expertise is evolving.
For decades, expertise was closely linked to information gathering, analysis, and execution. Today, many of those activities can be performed faster and more efficiently by machines. The emerging role of human expertise lies elsewhere: in judgment, context, and consequence.
Its value increasingly comes from applying context, making decisions under uncertainty, challenging assumptions, designing systems, and taking calculated risks. In other words, expertise is becoming less about producing answers and more about determining which answers matter.
This shift does not diminish the importance of expertise. Instead, it increases it.
The easier it becomes to generate information, the more valuable judgment becomes.
In a world of abundant intelligence, expertise is no longer defined by what we know.
It is defined by the decisions we make.
