Leadership in Motion - Issue 3
What AI reveals about leadership
From faster insight to better judgement
In Issue 2, I explored how AI is increasing the speed and visibility of insight inside organisations, and that shift is already becoming visible. Leaders can now access patterns, risks and summaries that would previously have taken weeks of analysis, or remained hidden altogether. Used well, AI can help organisations see more clearly and respond more quickly, which is valuable, although it also raises a more difficult question.
Once leaders can see more, sooner, are they necessarily better equipped to decide what matters?
This is the question I found myself reflecting on while reading The Leader’s Heart by Augusto Abbarchi. The book argues that the leadership of the future will not be a choice between head, heart and silicon, but the ability to integrate them. I think that is an appropriate way to think about it, particularly because there is an underlying assumption in many organisations that better data will eventually reduce the uncertainties of leadership.
If we can measure more, analyse faster and predict more accurately, decisions should become clearer. The uncertainty should reduce and the human complexity should become easier to manage. Sometimes that is true, but often better data simply makes the limits of a purely rational approach more visible.
When analysis becomes a commodity
AI can help leaders identify patterns, challenge assumptions and process information at a scale no leadership team could match unaided. It can show where performance is slowing, where customers are changing behaviour, where productivity is dropping, or where risk is accumulating. It may also reduce the gap between leaders who once differentiated themselves mainly through analytical capability.
If every capable leader has access to deeper analysis of the market, the company and the operating environment, then being good with numbers remains important, but it becomes less of a differentiator.
The human realities that appear late in the data
It cannot know what has happened to trust after a badly handled restructure. It cannot reliably interpret the silence in a leadership meeting where people have stopped saying what they really think. It cannot see the full difference between a team that is committed and one that is merely compliant. These things matter because they eventually become business issues, although they often appear late in the data. By the time trust has become attrition, or fatigue has become absence, or caution has become missed opportunity, the organisation is already paying the price.
This is why this quote from the book feels particularly relevant “the danger is the systematic exclusion of everything that cannot be easily measured”. I don’t think anyone would argue that measurement isn’t essential in a successful business. Leaders need evidence, discipline and a clear view of performance. The problem begins when measurement becomes the boundary of attention.
When the dashboard becomes the organisation
In many businesses, what is visible on a dashboard gradually becomes what is considered real. Revenue, margin, pipeline, utilisation and productivity dominate the conversation because they are easier to capture and compare. Trust, belonging, courage, creativity and confidence are harder to reduce to a number, so they can be treated as secondary, when in reality they are often the conditions that determine whether the visible numbers can be sustained.
This is where AI makes leadership more demanding, not less. As analytical capability increases, leaders need stronger judgement. They need to know when the data is useful, when it is incomplete, and when it may be pointing attention away from something important.
Staying close to what has not yet become a metric
The strongest leaders I have worked with are rarely dismissive of data. Quite the opposite. They usually value clarity and evidence, but they do not confuse the dashboard with the organisation. They remain close enough to the human system to notice what has not yet become a metric.
They notice when people are agreeing too quickly. They sense when pace is being achieved by burning trust. They understand that a decision can be rational in a spreadsheet and still fail in the organisation because the emotional and relational reality has been ignored. This is a practical distinction, not a sentimental one.
The opportunity for more complete leadership
AI may become increasingly capable of supporting the analytical work of leadership. It may help leaders see further, faster and with greater precision, and that should be welcomed. The risk is that leaders respond by becoming narrower, not wiser.
The opportunity before us is to use AI to expand the quality of leadership attention: to see the numbers more clearly, while also becoming more alert to the human realities that numbers struggle to hold.
That is where the integration matters. Data can show us what is happening, judgement helps us understand what it means, and human connection helps us decide what to do in a way that people can trust.
In closing I believe the future of leadership will belong to those who use technology well, while deepening the very human capacities that make leadership worth following: judgement, courage, intuition and connection.
Source log
Author linkedin profile: Augusto Abbarchi
Amazon book link: The Leader’s Heart
Erlend Asker
Executive coach and leadership advisor. Former commercial executive. Works with senior leaders navigating organisational transformation.
