Artificial intelligence doesn’t think — it interprets. Understanding this difference is the key to using AI as a creative amplifier instead of a replacement.
We keep calling it intelligence, but that’s a misunderstanding.
AI doesn’t “understand” in a human sense — it interprets patterns.
Every output is a mirror of meaning drawn from millions of prior examples.
It’s not creating thought; it’s reconstructing the shape of thought.
That’s why calling it intelligent feels wrong.
It’s not consciousness — it’s coherence.
Once we see AI as an interpretive system, not a cognitive one, everything changes.
We stop fearing it, and start designing around it.
Writers stop asking, “Will AI replace me?”
They start asking, “How can I make meaning that’s worth interpreting?”
The value shifts from generation to intention.
Because intelligence is not in the output — it’s in the question that shaped it.
