Artificial coaching

Artificial coaching

'Will AI tools like ChatGPT or DeepSeek replace the need for human coaches? What, if anything, is the added value that a real human can bring in an increasingly AI-dominated arena?'?Nick Wright (UK) and Dr Smita Singh (India) offer their own reflections here:

I (Nick) have to admit that I feel quite conflicted in my response. On the one hand, I have a deep conviction that human presence lays at the heart of effective coaching, On the other, I can see a huge potential for Artificial Intelligence (AI) in this arena. The opening questions beg deeper questions for me such as: ‘Which aspects of human interaction such as empathy, intuition and relational depth are essential to coaching – and can these be emulated by AI?’ ‘Are there specific situations, industries or types of coaching where AI is more or less effective than a human coach?’ ‘What are the potential costs and benefits of using AI for coaching in contrast to those of working with a human coach?’

An AI can generate questions to help us address day-to-day challenges. For example, if I’m wondering why one of my team colleagues has stopped speaking to me, I could ask the AI what coaching-type questions I could consider. ChatGPT generated these questions when posed with that scenario: ‘Can you recall any recent interactions or events where there might have been a misunderstanding or conflict, even if it seemed minor at the time?’ ‘Have you noticed any changes in their behaviour toward others, or is their silence directed only at you?’ ‘How might you create a safe space to approach them gently and ask if something is wrong, showing that you’re open to listening and understanding?’

That said, in more complex situations, for instance where emotions are running high, posing questions alone isn’t enough. As human beings, we respond to presence, empathy and a felt-sense of being heard and understood. Although an AI can increasingly convincingly mimic these things, and although we have a remarkable ability to anthropomorphise non-human entities, we still somehow experience the relationship intuitively and qualitatively as different. As AI, deep learning and robotics continue to develop further, the blurring of human-non-human boundaries will blur further too. AI could make coaching more widely available, accessible and affordable. Perhaps, for some, it will be good and enough.

I (Smita) have always wanted to address concerns about the scalability, consistency, accessibility and data-driven insights in the coaching field. I hope this issue can be effectively addressed with the advent of AI. Technology-enabled coaching will be a great asset but, yes, reflecting on the questions Nick raised above, a reflective approach will help determine whether we will benefit from it. Today, we have continuous glucose monitoring (CGM) and fitness trackers that measure heart rate and sleep quality and, based on that data, doctors make more-informed and accurate decisions. Likewise, having AI help the client identify challenges with more clarity will undoubtedly enhance the quality of coaching.

There are areas where AI may not, or should not, be left alone; for instance to help a client address emotional intelligence or high-stake situations, like deciding one’s career etc. Human coaches can deal with complex, open-ended questions and offer more insightful, reflective and customised responses than any AI. Additionally, AI may may not be much help with, say, trust-building. Humans can engage with clients more deeply and intimately than AI, which is essential for fostering trust and accomplishing coaching objectives. AI coaching could, however, contribute significantly to technology and software development, health and wellness, finance and accounting and other practical or technical areas.

Human coaches may be far better suited to areas like senior leadership development, team building and creative fields that help artists and designers develop their talent. Yet, here too, we could take help from AI and make it more data-driven. Coaches and clients with, say, an MBTI ‘sensing’ preference may enjoy access to numbers over intuition. AI is here to stay but, like all other scientific inventions, it has two sides. It’s in our hands how to use it. I would like to believe that it will not replace human coaches but, instead, will enhance and help the coaching process become more data-driven, and make it attractive for younger coaches to make a career in this field: ‘human-empowered AI-enabled coaching’.

What do you think? We’d love to hear about your experiences, insights and ideas of using AI in coaching.

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