Navigating the pitfalls of self-mentoring in an AI-driven world

Self-mentoring is an important concept - it involves the ability to direct your own professional growth using reflection, networking, and appropriate resources. In fact, any successful traditional mentoring program requires the recipient of the mentoring to be self-motivated - a key aspect of self-mentoring. However, in a world increasingly driven by artificial intelligence (AI), there is a growing temptation to rely solely on self-mentoring. AI has undoubtedly transformed many aspects of our lives. Just the other day, someone I know was having a “conversation” with ChatGPT about a particular topic. She asked a question to which ChatGPT gave a response she disagreed with. She proceeded to “argue” with the AI tool as though she was having a conversation with a friend. ChatGPT held its own part of the discussion and gave her additional responses to counter her disagreement. Eventually, satisfied by ChatGPT’s answers she moved on - believing that she had received a solution to her question. But as we all know - ChatGPT can be wrong. I bet the lawyers who were sanctioned for relying on ChatGPT and citing fake cases wished they did not treat ChatGPT as an authoritative source of information and guidance. 

This article - in continuation of October’s theme on virtual mentoring - will explore the pitfalls of self-mentoring in an AI driven world. As a quick caveat to state that we are not against using AI or other generative tools that offer quick and accessible guidance for decision making. This article simply shines the light on some of the pitfalls that should not be overlooked. 

1. Lack of Emotional Intelligence

AI bots are highly effective at processing vast amounts of data, analyzing patterns, and offering solutions based on logical frameworks. However, AI lacks the nuanced emotional intelligence that is crucial for mentorship. Even ChatGPT acknowledges that in its response to my query:

Real mentoring is more than providing answers to your questions. It involves understanding emotions, the relevance of t your backstory, how you got to where you are and what personal or societal pressures you may be facing. A good mentor offers empathy, encouragement, and human connection, which AI cannot replicate. For instance, if you’re struggling with imposter syndrome or facing burnout, AI may provide articles with techniques on how to cope, but it won’t understand your specific emotional state. A human mentor, on the other hand, can offer personalized encouragement, share their own experiences, check in on you, and help you navigate these feelings with compassion and understanding. See for instance, the excellent 5 mins mentor tips on imposter syndrome by Konseye mentor Fola Esan. 

2. One-Size-Fits-All Solutions

AI tools are dependent on algorithms that operate on general principles. These tools provide answers based on data gathered from millions of users. While this can be helpful for broad learning objectives, it leads to one-size-fits-all solutions that lack the personal touch of a human being. For example, AI might suggest following a specific career path based on trends or statistical success rates, but it can’t understand your passions or help you discover unconventional opportunities that fit your personal vision. A good mentor will adapt their advice to your specific context, helping you navigate your own journey. While AI can give you general one-size-fits-all learning, AI can never help you grow your network by connecting you with individuals who can give you the exposure or additional support you need. 

3. Inability to Challenge and Inspire

A good mentor will challenge your assumptions and encourage you to move out of your comfort zone and into your zone of greatness. The ability to inspire, encourage, and challenge your assumptions, is missing with AI tools. The guidance and motivating words generated by AI can be helpful when you are thinking about logical steps but AI lacks a deep understanding of the broader context in which advice is given. A human mentor brings the benefit of lived experience and a deep understanding of specific industries or environments. They can provide guidance tailored to the challenges you might face in a particular job, industry, or cultural context—something AI cannot do at the same level.

And it seems even  ChatGPT agrees: 

Relying on AI to self-mentor can lead to increasing isolation. As we progressively rely on AI for guidance and support, it is important to remember that it is a tool, not a replacement for human connection. Technology serves us best when used to build mentoring communities and create opportunities for growth as a collective. By doing so, we can avoid the pitfalls of self-mentoring using AI and instead enrich our personal and professional development through human interaction.

Share your thoughts in the comments - I’d love to hear from you! 

In the meantime, have a wonderful week and remember: With The Right Network Anything Is Possible. 

Adejoké

Team Konseye