Recently, I observed a mentoring session as part of my training to be a mentor coach at Henley Business School. The session explored two core International Coaching Federation competences: how we cultivate trust and safety with our clients, and how we stay present with them. For me, these competences are at the heart of what differentiates human coaches from the growing number of coaching bots being integrated into coaching platforms.
This prompted me to reflect on what AI bots can offer and what remains distinctive about human coaching. I would love to know whether the following resonates with your experience, either as a coach or as a client.
Where human coaching offers distinctive value
- Trust and presence. A senior leader may tell their coach something they would never say to their board when they believe that the coach truly sees them and is fully present with them. Such openness rests on a relationship of trust. This depth of communication is possible whether the coaching takes place face to face or virtually.
- Being believed in. A client’s capacity for change can grow when someone they respect witnesses their efforts and believes they can succeed. I do not think a model’s encouragement carries the same meaning as the belief of another person who knows them.
- Accountability that carries weight. When a client makes a commitment in front of their coach, there is a relational dimension to that accountability that goes beyond a reminder or a progress check.
- Ethical judgement. Recognising when a client may need therapeutic support rather than, or alongside, coaching; discerning when a disclosure raises questions about the limits of confidentiality; and knowing when and how to act all require professional judgement. AI may inform that judgement, but it cannot assume the coach’s professional responsibility for decisions and actions.
- Noticing what the client is not saying. A leader’s voice tightens when a particular name comes up. They repeatedly steer away from one topic. Tears well up as they describe a role they left under difficult circumstances many years ago. What matters is both noticing these signals and deciding, in the moment, whether to name them, wait or leave them alone. That judgement draws on an evolving understanding of the client and experience of coaching through similarly complex situations.
- Challenge and blind spots. Many of the leaders I coach come to me specifically seeking challenge and help in recognising their blind spots. In my own experience, AI can lean towards agreement and reassurance. A skilled human coach judges when and how to ask an uncomfortable question: ‘We’ve explored whether you should leave or stay in your job over four sessions, and you haven’t yet decided. What might you be gaining from leaving the decision open?’ Such a question can invite deep reflection when it emerges from attentive listening within a relationship of trust and respect.
- Presence when something difficult surfaces. A leader may break down after a restructuring, admit for the first time that they are afraid of failing, or disclose that they have left their partner. What helps in that moment may be a calm person who stays steady, does not rush to fix anything, and allows the client to remain with their experience without judgement.
These reflections are grounded in my understanding of AI in 2026. Some systems can already process audio and visual information, and there are cases of people experiencing close, trusting relationships with bots. Among the hundreds of leaders and professionals I have coached since LLMs became widely available, however, I have not yet encountered a client who has described an AI coaching relationship in those terms.
My sense is that the distinctive contribution of human coaching lies in the relationship within which trust, presence, challenge and professional responsibility come together.
What do you believe stays human in coaching?
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