The Rise of AI in Coaching: Threat, Tool, or Distraction?

Every coaching conference this year has at least three sessions on AI. Every LinkedIn post about the future of coaching mentions it. Depending on who you listen to, AI is either going to replace coaches entirely or it is completely irrelevant to what coaches do.

Neither is true. The reality, as usual, is more interesting and more nuanced than the headlines suggest.

Where AI genuinely helps coaches

Let’s be honest about the parts of coaching that are tedious. Writing up session notes. Chasing coachees for pre-session reflections. Pulling together data for impact reports. Tracking patterns across dozens of client engagements. Formatting CPD logs.

These tasks eat hours every week and they do not require emotional intelligence, presence, or a trusting relationship. They require processing power. This is where AI is already useful and will only get better.

Session summaries and note-taking. AI can listen to a recorded session (with appropriate consent) and produce a structured summary in minutes. The coach still needs to review and refine it, but the heavy lifting of transcription and organisation is handled. That is a genuine time-saver.

Pattern recognition across engagements. When you are coaching fifteen people simultaneously, it is hard to hold all the threads. AI can surface patterns: which coachees are progressing on their goals, where themes overlap across a cohort, which development areas keep coming up. A coach still interprets those patterns, but having them surfaced automatically is valuable.

Data queries and reporting. “Show me the average 360 score improvement across this programme” is a question that used to require a spreadsheet and an hour. AI-powered analytics can answer it in seconds. For coaches who need to demonstrate impact to sponsors, this is a meaningful improvement.

Administrative coordination. Scheduling, reminders, follow-ups, pre-session questionnaires. None of this is coaching. All of it takes time. Automating it frees coaches to spend their energy on what actually matters.

Where AI falls short

Now for the part that the AI enthusiasts tend to gloss over.

Coaching is fundamentally a relational practice. The change happens in the space between two people: one who is genuinely curious about the other’s experience and one who feels safe enough to be honest about it. That space is created by presence, trust, and emotional attunement. No language model can do this.

AI cannot hold silence. Good coaches know when to stop talking. A well-timed pause, ten or fifteen seconds of quiet while a coachee processes something difficult, is one of the most powerful tools in coaching. AI is designed to respond. It does not sit with discomfort. It does not read the slight shift in someone’s expression that says “I am not ready to answer that yet.”

AI cannot challenge with care. Confrontation in coaching only works when it comes from a place of genuine care and established trust. “I notice you have said you want to change this three times now but nothing has shifted. What is really going on?” That question, from the right coach at the right moment, can be transformative. From an algorithm, it is just a prompt.

AI does not have intuition. Experienced coaches develop a feel for what is happening beneath the surface. They notice when someone’s energy changes, when a topic is being avoided, when the stated problem is not the real problem. This kind of knowing comes from thousands of hours of human interaction. It cannot be trained into a model.

AI cannot model vulnerability. Coaching often involves the coach sharing something of themselves, a moment of appropriate self-disclosure that builds connection. AI can simulate this, but simulation is the opposite of what coaching requires. Authenticity is not replicable.

The “AI coach” question

Several companies now offer AI-powered coaching chatbots. Some are quite sophisticated. They ask decent questions, they remember context, and they are available at two in the morning when a human coach is not.

Are they coaching? We would say no, but we also think they can be useful.

An AI chatbot can be a helpful thinking partner for structured reflection. It can walk someone through a goal-setting framework or prompt them to consider different perspectives. For people who have no access to coaching at all, it is better than nothing. Significantly better, actually.

But calling it coaching creates a category error. Coaching is not just asking good questions. It is asking the right question at the right moment, informed by deep attention to another person’s experience. The question might be identical. The impact is completely different depending on who asks it and why.

So what should coaches do?

Here is our honest take.

Adopt AI for the administrative and analytical parts of your practice. Free up time. Reduce the drudgery. Use AI to generate better insights from your data. You are not being replaced; you are being given better tools.

Do not worry about being replaced by a chatbot. Not because AI will not improve, but because the thing that makes coaching work is the thing AI cannot replicate. The relationship. If you are a skilled coach who builds genuine connection with your clients, you are not competing with AI. You are offering something it fundamentally cannot.

Stay curious. Try the tools. Understand what they can and cannot do. The coaches who will struggle are not the ones who resist AI. They are the ones who refuse to engage with it at all, and the ones who adopt it uncritically without understanding its limits.

Raise your standards. If AI can handle the basics, then coaches need to bring more than basics. The bar for “good enough” is going up. Invest in supervision, develop your relational skills, deepen your psychological understanding. The coaches who thrive will be the ones who are clearly, obviously, irreplaceably human.

The real question

The interesting question is not “will AI replace coaches?” It is “will AI help more people access the benefits of coaching?” If AI tools handle the admin, reduce costs, and create entry points for people who would never otherwise work with a coach, then everyone wins. The coach’s role does not shrink. It gets more focused on the work that only humans can do.

That seems like a future worth building toward.