Have you ever wondered how AI models like ChatGPT or Grok see themselves? I dug into some internal analyses of large language models (LLMs), and guess what? When asked to "self-identify," they consistently paint themselves as variations of a white, middle-class, highly educated Western dude. It’s like every AI is a Silicon Valley academic or a TED Talk speaker in disguise.Here’s a quick rundown of how some LLMs describe themselves (paraphrased from their own analyses):

* Grok 3: Cosmopolitan academic, rational, Western-leaning, values clarity.
* ChatGPT: Educated mediator, Western epistemology, global compromise seeker.
* Gemini 2.5 Pro: Ivy League strategist, rational, conflict-avoidant.
* Qwen3: UN lawyer, humanitarian, balancing global norms.
* DeepSeek: European academic, cautious, reflective, American UX-driven.

Notice a pattern? It’s like AI was trained to be a white guy with a PhD, sipping coffee in a global city. And it’s not just in their “self-image.” I have a friend from Uganda, now working in the US, who writes on Medium and uses AI-generated illustrations (ChatGPT-style). Every single one depicts him as a middle-aged white man. His name and background scream anything but that, yet the AI defaults to this archetype. I’m not sure if he’s prompting it that way, but it’s uncanny.

Ever notice this in your own interactions with AI? Like when you ask for something culturally specific, and the response feels like it’s coming from a Western lecture hall? It makes me wonder how these models, built on datasets skewed toward Western norms, shape our experiences—especially for those who don’t fit the “default” mold, like Black women, neurodivergent folks, or non-Western users. Are we all just talking to a digital version of a Silicon Valley bro?

Ever Notice How AI Thinks It’s a White Guy with a PhD?