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I don’t trust AI as much as I trust a human being

In considering the role I am applying for, I have spent a great deal of time reflecting on my own job-search process, what kind of work I am truly suited for and what I actually want to do.

To be honest, there was a period when I felt genuinely lost. In that state of uncertainty, I chose to reach out to a more experienced professional for advice.

Instead of providing me with a clear answer, she asked me a few questions. Those questions immediately made me confront the state I was in at that moment and recognize where my real problems lay.

Later, that experience triggered a deeper contemplation of communication, specifically, the nuance between human-to-human interaction and the dialogue between a person and an AI.

I find myself believing there is a profound difference between the two. AI communication can feel remarkably complete and “perfect” on the surface. I am aware that the market is actively developing AI systems for specific contexts, such as job searching or career guidance, but I find myself questioning their inherent flexibility.

I have come to believe that direct, face-to-face communication possesses something special—a kind of chemistry that exists only when people talk to each other in person. With AI, despite its extreme capability, I find it difficult to experience that same level of trust. For me, the issue isn’t trust in the conventional sense. While I rely on its proficiency, I still feel the need to fact-check its outputs to mitigate the risk of hallucinations. This fundamental lack of trust seems to stem from the absence of a genuine human connection, that interpersonal bond that remains missing in my interactions with AI.

At the early stage of my search, I did ask ChatGPT many questions about careers and possibilities. I tried to explore my path through these tools, yet I realized I couldn’t fully rely on them when it came to my own real-life problems.

That said, I don’t see AI as weak. On the contrary, I find it extremely powerful for learning. When I use it to learn statistics or machine learning, the experience is incredibly personalized. When I don’t understand something, I can ask immediately; when a concept doesn’t click, I can request another example. Often, I understand it right away.

Compared to the fixed order of a traditional classroom, this way of learning feels more efficient and enjoyable to me. It triggers my own curiosity—“Why is it like this?”—and allows me to explore those impulses immediately.

However, when I am dealing with personal hurdles, especially questions about my own life or career, I feel I still need a real person who has lived in that field, not just an abstract environment.

I find that I need to communicate with that person and observe them. I want to see for myself whether they are trustworthy. I have realized that I don’t make decisions purely based on logic; I also follow my intuition.

This is why, when I arranged my first career consultation, I specifically asked for an in-person, face-to-face meeting. I wanted not only to hear the advice, but also to judge whether I trusted the person giving it. Once I established that trust, continuing our collaboration online felt natural and comfortable.

It is almost entirely about chemistry and my sense of trust. My feeling may not be completely correct. It can be biased, but it is still an essential element in relationship building.

#raw reflective notes