Can AI Mentor? Why Leaders Need Intuition Over Algorithms
Mentoring is a two-way exchange of energy and emotion.
If AI tells you exactly what to say in a difficult meeting, did you actually lead that meeting, or did the software?
We are rapidly entering an era where managers can 'outsource' their difficult conversations to algorithms. There is a dangerous side effect, however: when you follow a script you didn't write, you stop building the intuition required to lead without the tools.
AI has become the single most talked about point in the past couple of years, promising disruption in every aspect of professional and personal life. I use it, and have done so for a while now, to help me with specific tasks.
AI excels in automating repeated processes, in generating answers to questions and in analysing vast amounts of data very quickly. However, the idea that it may replace the human element in deeply human processes such as mentoring is flawed.
Mentoring Myths: Why Managers Aren't Always Mentors
Let’s pause quickly to clear up a couple of common misconceptions about mentoring that I myself believed too, until I was trained as a professional mentor.
A manager or leader is not always a mentor. Just because you manage people does not mean you mentor them. I wrote more about this recently.
Mentoring is not an occasional chat over a coffee, or a quick tip at the end of a meeting.
On the other hand, when done properly, mentoring has specific objectives for the mentor as well as the mentee, and is bound by a timeline. Mentoring is a two-way exchange of energy and emotion, not just the professional experiences shared. Most importantly for the context of this article, a mentor does not tell the mentee what to do. Let’s dive in a little deeper here.
The Reality of Mentoring: Building Intuition, Not Just Answers
I am currently mentoring a professional in her first management role. When she tells me of a struggle she has, I don’t give her the answer. I cannot, because I’m not there living the experience with her. What I can do however, is to share my experiences from when I was in a similar situation. I may challenge her line of thought with a series of questions to help her make sense, in her own way and style, of the situation and how to address it.
Since we are together in a session, she cannot ignore my questions or skip to the next one. She is made to sit with her reflections, sometimes uncomfortably, until the way forward becomes clear to her - because she has defined that path, not because I told her to.
As mentors, we might help mentees consider the perspective of other parties involved, or to see if there are any other resources they can call upon to support them. The mentee then goes and implements or tries something and considers its success. The mentee’s self-development occurs in between the mentoring sessions and not during them.
The Cost of Prompt-Engineered Leadership
The temptation to just ask AI for the answer to a leadership crisis is growing, but it comes with a hidden cost: it hollows out the leader. When you rely on a basic prompt to script a difficult conversation, you are receiving an answer stripped of your team’s history, your company’s culture, and your own values. You might get the right words, but if you don’t understand the psychological why behind a specific line of questioning, you aren't actually leading, you’re only parroting an algorithm. Leadership is the informed intuition that allows you to pivot when the conversation goes off-script.
“AI can give you an answer, but it can't give you an anchor.”
AI’s Best Use Case: Tailored, Scalable Training
Companies are busy developing self-development tools - and I’m all for these, when used within context. I believe that training, for example, offers a perfect use case for AI, amongst other tech. You can prompt a dedicated AI agent on the training subject matter, and it can convert that into slides, videos, interactive role plays, gamified activities, Q&A, and tests, to offer every participant an experience tailored to their preferred learning style.
AI as the Rehearsal, Not the Performance
There is a growing trend toward 'AI sparring partners', simulators where a leader can practice a difficult conversation with a digital avatar before doing it for real. These tools have their place; they are the high-tech equivalent of practicing a speech in front of a mirror. They can help you smooth out your phrasing or manage your initial nerves in a zero-stakes environment.
However, we must be careful not to mistake the rehearsal for the performance.
When I’m out riding my bike and a hazard crops up, I need to have the skill and intuition to deal with it there and then. Leadership is built on the live moments that can't be paused or reset. While a simulation helps you prepare, it lacks the weight of a real human relationship and the unpredictable emotional stakes of a real situation. You cannot program the intuition that comes from failing in real-time, nor can a bot provide the nuanced reflection that a human mentor offers after the dust has settled.
Leadership takes time because it is built not just on experience, but experience that you have reflected on to identify the growth story. Olympians make it to the competition because they fail along the way. They take a corner too fast and they fall. The ones who succeed stop to reflect on why they fell, and what they need to do to tackle it better next time.
How AI Supports Mentoring
So does AI have any place in mentoring? Of course it does, in supporting the administrative side of the mentee-mentor relationship.
Record-keeping: I prefer not to record mentoring sessions as I feel it gives the mentee a higher degree of confidentiality, however AI could be used to identify recurring trends or growth across mentoring sessions. Note that this does not replace the journalling efforts of both mentors and mentees that support reflection, introspection and growth.
Matchmaking: at MentorLab we use algorithms as one of the tools to help analyse skills gaps and personality types to pair mentors with mentees in corporate mentoring programs.
Habit-building: Between sessions, an AI could ping a mentee: "Last week you discussed [topic]. How did that conversation go? What did you feel at that moment?" This prepares them for the human session.
The Human Anchor: Why Validation Still Matters
I once sat in my CEO’s office, behind targets and exhausted, expecting an earbashing. Instead, he looked at me and said, “I’ve been exactly where you are, and it’s a lot.” That validation carries weight when it comes from a senior leader you respect, but certainly not from a chatbot. AI can give you an answer, but it can't give you an anchor.
AI definitely has its place in HR, self-development, and mentoring. I’m genuinely excited to see how we will be learning in a decades’ time, but tech will not replace a professionally trained mentor.
Mirror Check
A question for senior leaders: how are you ensuring your new managers are building intuition, rather than just following an algorithm?
Thank you for reading this far. If any of this resonates, I’d love to welcome you as a reader and to stay connected. Please join the mailing list for future posts, share your thoughts in the comments, or find me on LinkedIn.
