“I Asked AI What it Thinks of Me”: The Magic Mirror Effect Explained
A new EduBrain study shows 56% of Gen Z have asked ChatGPT or a similar tool what it thinks of them. The trend is becoming popular on TikTok and Reddit, as young people are keen to know whether we’re smart, toxic, fun, or wasting potential. Here’s what to know about AI becoming the new ‘scorecard.’
We know AI for ‘remembering’ everything we say and ‘reflecting’ it back, just phrased more eloquently. In a way, it becomes our enchanted mirror, which makes it tempting to ask, “Mirror, mirror on the wall, who is the fairest of them all?” This classic cultural motif illustrates the human desire to see ourselves in reflections, even distorted ones. So when an AI sounds intimate or insightful, it usually lands — even though often, it shouldn’t.
The expectation behind the trend is that AI can give us some ‘objective’ information about how we are perceived by others. For many, it’s the ultimate pleasure of watching yourself in 3D, without the bias our own perception brings to the table. The problem is that AI is anything but objective. It doesn’t think or feel, it doesn’t experience you, and it can’t know anything about you. It can only generate words and images — and it does so based on often very biased datasets, cultural assumptions, and statistical likelihoods. It reproduces stereotypes, value judgments, and discriminatory ideas baked into its training data. When it tells you you’re hot, caring, broken, or emotionally unavailable, it’s just remixing patterns.
Jaime Bronstein, LCSW, licensed relationship therapist and coach at Dating.com, says AI can be used as a mirror, but only if you’re very intentional about how you hold it. She says that instead of asking ‘What do you think of me?’, you can work with AI in ways that support self-understanding instead of self-scoring:
- Name feelings you can’t quite articulate. Dump a messy paragraph about how you’re feeling and ask it to label the emotions involved, or think up some metaphors for what’s in the text. New words often lead to new insights.
- Use AI for dream interpretation. For better results, ask it to analyse a dream only through a specific lens, like classical Freudian theory or existential therapy. This keeps the output grounded in a framework rather than free-floating meaning.
- Give AI a raw stream of words about yourself (traits, memories, contradictions) and ask it to group patterns without drawing conclusions. No “this means you are X,” just clustering themes you can reflect on yourself.
“The key difference is agency: while AI can be a useful tool for reflection, it still shouldn’t define you, even though this means fewer funny quotes for TikTok. And if you are asking AI what it thinks of you, it might be worth asking why you want the answer in the first place,” Jaime adds.
Julia Alexeenko, popular culture and media analyst at EduBirdie
