Skip to content
4 min read

Stuck on Mount Stupid: How AI tricks Us into Thinking We're Experts

AI tools make us feel like experts until real-world challenges prove otherwise. Here is how overdependence on AI distorts knowledge and threatens genuine skill acquisition.

By Youmbi Leo

  • Artificial Intelligence
  • Software Engineering
  • Psychology
Stuck on Mount Stupid: How AI tricks Us into Thinking We're Experts cover image

Personally…

I recently had the privilege of being one of the few shortlisted and called for a technical interview in a big tech company in my country. We were given a couple of “tagged-easy” DSA problems to solve, but trust me, they were everything but easy.

The DSA problems had me looking at my screen like 😂

And it seemed to me as we all (the candidates) shared the same difficult experience.
I believed that since I had experience building projects, mostly using an AI harness, everything should have gone well. I over-estimated my capabilities/competence in DSA problems solving. And this, my dear reader, is the symptom of the Dunning-Kruger Effect.

Understanding the Dunning-Kruger Effect

A formal definition would be: a cognitive bias whereby people with limited knowledge or competence in a given intellectual or social domain greatly overestimate their own knowledge or competence in that domain. (source, Britannica)

In layman’s terms, it is when someone with low ability in a particular area overestimate his/her competence. It is not necessarily arrogance; it is about not knowing what you don’t know.

You are surely familiar with the concept: Imposter’s Syndrome. Well, it ‘can’ be considered the opposite of the D-K effect.

The Illusion of Competence

Knowledge has become so accessible nowadays with the advent of AI. Just a single “What is ..” search and the AI mode brings out a full summary of the topic. The drawback of this is that people, not only take this as the absolute truth, but also, do not realize how shallow that knowledge actually is.

Imagine someone — let’s call him Steven — wants to understand the economics of inflation and deflation. Instead of reading a textbook or studying market dynamics, he asks an AI tool for a quick explanation. The AI gives him a neat, 3-bullet answer: it defines the terms, attributes inflation to supply and demand imbalances, and notes that central banks adjust interest rates to fix it. Steven walks away feeling like an expert. Armed with this "deemed-deep" knowledge, he jumps into debates with actual economists, confidently spouting oversimplified answers to incredibly complex financial problems. I know we all have a Steven in our lives… and thanks to instant AI summaries, it’s easier than ever to accidentally become one.

The Crutch Effect

This superficial understanding is creating a bigger issue: we are neglecting actual skill acquisition and coming to rely almost entirely on AI to do the heavy lifting. For instance, a marketing director might rely on AI to generate flawless campaign strategies, yet lack the real-world intuition to diagnose why a failing ad isn't converting. Similarly, a developer can use AI to auto-generate code, but when a complex bug hits production, they struggle to debug it because they never mastered the underlying logic.
An esteemed senior of mine, Ms. Delia Ayoko, back at the Google DevFest 2024, gave a talk titled “Human Overdependence on AI”. A key insight I took away was that real learning happens at the human level: it’s through actually putting in the work and pushing through the struggle that our brain creates new neural connections, building genuine competence that no AI tool can replicate.

The D-K Curve

The Dunning-Krugger curve

This curve best shows the difference between perceived ability and actual ability. The Dunning-Kruger curve illustrates this psychological trap. Beginners start at the “Peak of Mount Stupid” or the “I know everything” stage where minimal knowledge produces maximum confidence. As they learn more, they plunge into the “Valley of Despair” realizing how vastly complex the domain actually is.

AI creates a shortcut straight to the peak. By supplying quick answers, it lets users bypass the initial learning friction, giving them peak confidence without ever pushing them down the curve toward actual understanding. Real mastery requires pushing through the valley, confronting what you don’t know, and slowly climbing the slope of enlightenment through deliberate practice and hands-on trial and error.

Final Thoughts

Please, don’t misunderstand me: I am not condemning the use of AI. It remains an extraordinary tool for productivity and learning when used intentionally. However, we must treat it as a stepping stone rather than a replacement for deep thinking. Real expertise requires intellectual humility. As Socrates famously observed, “The only true wisdom is in knowing you know nothing.” By acknowledging the limits of our knowledge, we can leverage AI to accelerate our growth without falling into the trap of superficial competence.

Conversation

Comments12

Have a thought on this piece?

Sign in with Google to comment and reply. Only your name and profile photo appear beside what you write.

  1. Gift Moutcheu
    This was very insightful, especially the Steven analogy on difference between perceived and actual ability. Added to that, I enjoyed your approach using the D-K curve. It provides a clear visual depiction of the various levels of expertise and their associated "behaviour".
    1. Youmbi LeoAuthor
      Thank you so much for this comment. I am glad you found it insightful and enjoyed it. 😊🫠
  2. lyrian nono
    That was a great thought about the D-K effect and most people don’t know they’re in it until they confront it. Thanks for the knowledge sir
    1. Youmbi LeoAuthor
      Exactly! That moment of realization is tough, but it's the first step toward actual mastery. Thanks a lot for the kind words and for reading, Lyrian! 🙌
  3. Idalie Youmbi
    This is a master piece definitely. A call for intensive tought It is all about knowing the limits not to exceed. Companies today are over-encouraging the use of AI for the sake of productivity drive, which is obviously true, just that the boundaries are yet to be defined. Otherwise, bear with me, upcoming years will quickly reveal the Boomerang effect (massive under-productivity).
    1. Youmbi LeoAuthor
      Exactly! The "boomerang effect" is such a sharp way to put it. Unchecked reliance on AI for short-term output will definitely backfire when fundamental problem-solving skills erode. Setting those guardrails early is critical. Thank you so much for reading and adding such a great perspective! 🎯
  4. Nhonwi Niba
    Your analogy of facts is alluring. Such a great read. Stuck on Mount stupid is a perfect reader capture. Congratulations on your job.
    1. Youmbi LeoAuthor
      Thank you so much, Mah! I really appreciate the kind words. Glad the title hooked you and that the analogies landed well! 🙌
  5. Youmbi Brice Bryan
    That's was great. I was really impressed about the D-K curve and what Socrates said about accepting hos own limits when seeking for knowledge. Congratulations for your link.
    1. Youmbi LeoAuthor
      Thank you so much, Brice. Socrates really nailed it, recognizing the boundary of our own understanding is where true learning begins. Really glad those parts resonated with you🤝
  6. nkweti lorna
    This was a great and insightful read. The problem was clearly stated, and my take was that, with the way the D-K curve was illustrated, it can be used as a guide to know where you actually stand when it comes to a particular field or aspect, and not to fall into the perceived ability trap, but use it to grow and track progress in that field/aspect.
    1. Youmbi LeoAuthor
      That’s a fantastic takeaway, Lorna! Using the curve as a framework for self-reflection and growth is key. Really appreciate you reading and sharing your thoughts! 🙌