It’s tempting to say AI “thinks,” but that’s shorthand. The process has no emotional reasoning, no intuition, no lived experience.
However, it can mimic parts of human cognition, particularly the associative style of thought that many neurodivergent people will recognize:
- making rapid connections,
- finding unexpected patterns,
- pulling in disparate data points to form something coherent.
The difference is that human thought is shaped by values, experience, and intention. AI lacks all three. It doesn’t prioritize what matters. It only predicts what’s probable. That’s why your role as the human guide is essential. The quality of your questions, your context, and your discernment drive the system toward relevance.
If you’ve ever used brainstorming as a thinking tool (writing ideas just to see what appears) that’s the most accurate way to understand how to work with AI. It’s a catalyst for clarity. You think with it, not through it. It surfaces patterns, alternatives, or phrasing that you might not have noticed otherwise. It’s less a replacement for thought and more a companion for refinement.
But this partnership only works if you define the meaning. AI can model probability, it cannot model purpose. It can show you every way a question has been answered, but only you can decide which answer serves your values, your context, or your goal. The distinction seems subtle but is critical: the machine scales possibility, while the human chooses direction.