Why AI can't actually think like humans do
AI trains only on finished products of thought, paintings, papers, recordings, not the failed attempts and mistakes that build real expertise.
When you see a finished painting, you see the result of countless hours of trial and error, failed drafts and false starts. AI models train only on the final product, not the process.
A musician's recordings omit bad takes. A published paper hides years of dead ends.
This means AI systems produce traces of thought that look like reasoning but aren't made the same way. Reasoning models print out steps, but that reasoning is itself another trace.
The gap widens in creative work. AI never encounters accidents like paint running unexpectedly that transform human creativity.
Pilots became children of the magenta line by trusting flight computers so their manual skills decayed. Doctors using AI colonoscopy detected fewer polyps without it.
Students given unrestricted AI support scored lower once the tool was removed. Good tutors ask the next question along the path to an answer, not simply hand it over.
Why it mattersIf AI lacks the thinking process and people lose thinking skills by relying on it, we risk a future where neither machines nor humans can actually reason through hard problems.
AustraliaAustralian schools and workplaces adopting AI tools risk eroding critical thinking skills if the tools don't preserve the learning and problem-solving process.
