When AI Becomes Your Coworker, What Should Still Remain Human?
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I remember a senior leader assessment where one individual appeared to be the obvious succession choice. The performance record was strong, the experience was relevant, and the stakeholder relationships were good. But in a world where AI is becoming our coworker, the real question is whether we are assessing people for what machines can do or for what makes us uniquely human.
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Yet, when I looked at all the information together, I noticed a subtle pattern in how this person responded when their authority was questioned. It was not a dramatic red flag. It was a pattern that emerged between the data points.
The question was no longer, “Is this person high potential?” It became, “High potential for what, in this organisation, at this stage, under what kind of leadership pressure?”
We did not rule this person out. We made the pattern visible, and it became the centre of the development conversation.
AI can process psychometrics, interviews, feedback and performance history far faster than I can. But someone still has to decide which patterns matter, how much they matter, and what they mean for this particular organisation.
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That is why I still sit with the data and write the Leadership Mirror Report, the assessment and feedback report I create for senior leaders, myself. The same is true when I read the Discovery themes that emerge from a Diagnostic. Patterns do not announce themselves.
They may knock on your door, but you have to be able to hear the knock and decide whether to let them in and stay, in order words, someone has to find them.
So as AI becomes our coworker, the question is no longer whether it belongs in our working lives. It already does. The question is: what should we deliberately keep human?
We Can Delegate Tasks. We Cannot Delegate Responsibility.
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AI can give me ten answers in seconds. Choosing one still takes judgement, which is shaped by context, experience, values and sometimes the courage to say, “Something about this does not feel right.”
This matters most when decisions affect people. An algorithm may suggest whom to promote. But should we? In family businesses especially, the obvious successor is often decided long before any assessment begins. Leadership has always meant deciding with incomplete information. AI may improve the information. It does not absolve us of the decision.
Curiosity Will Matter Even More
When an answer arrives instantly, we grow comfortable accepting it. But the best contributions I have seen in organisations were often questions: Why are we doing this? What are we missing? What if our assumption is wrong?
AI is extraordinarily good at finding patterns within the frame we give it. Humans must still question the frame itself. As answers become cheaper, a better question becomes more valuable.
Empathy Cannot Become a Feature
I see empathy as a discipline, not a soft skill. When an employee says, “I am struggling,” AI can suggest a thoughtful response. But there is something different about another human being sensing that today you need to be heard before you are advised.
In face to face interaction, we also experience emotional contagion: one person’s state spreads to those around them. A calm leader can calm a room. An impatient one can make a team defensive before the issue is even discussed.
People forget the advice a leader gave them. They remember how the conversation made them feel. Did I feel safe? Was I heard? Could I disagree? Could I admit I did not know? That is Unconditional Positive Regard in practice. It cannot be scripted. It has to be offered by one person to another.
It is why, when something really matters, we still press the button that says, “Speak to a Customer Service Executive.”
Trust Will Become the Leadership Differentiator
There is an interesting irony here. The more technology enters our workplaces, the more trust will matter. People will want to know what sits behind a decision, and who takes responsibility when something goes wrong.
That puts a very human responsibility back on leaders. We cannot say, “The system suggested it,” and walk away. Leadership is not about having all the answers. It is about creating enough trust for people to ask difficult questions, challenge assumptions and take responsibility for outcomes.
AI-enabled workplaces may expose the difference between authority and accountability more sharply. A system may have the authority to recommend. A leader still has the accountability to decide.
Make Room for Judgement, Not Just Efficiency
AI will make organisations faster. But faster is not always better. Many of the organisations I have worked with never lacked information. They struggled to make sense of it, and to find the courage to act on what was uncomfortable.
There are moments for a five minute answer and moments that need five days of thinking. Knowing the difference is a human capability worth protecting.
We should be careful that our fascination with productivity does not make us forget reflection.
Otherwise we risk becoming exceptionally efficient at things that should never have been done in the first place!
Not Human Versus AI
Perhaps the better question is: what kind of human being does an AI- enabled workplace require us to become?
Someone who asks better questions. Who listens without preparing a reply. Who can hold two contradictory ideas and sit with the uncertainty. Who owns a difficult decision, brings compassion into a hard conversation, and can say, “I don’t know. Let’s find out.” And perhaps, above all, someone who remembers that every organisation is ultimately made up of people.
Technology can change how work gets done, which skills are valued and how fast we move. It should not change our understanding of what makes work meaningful.
If AI becomes our coworker, I hope we do not compete with it by becoming more machine-like.