I see a great deal of discussion about whether AI can possess “meaning,” but much of it begins with a philosophical mistake: treating meaning as though it were one thing.
At least three quite different things sit behind the word, and they answer three different questions.
The first is evaluative meaning: what matters to a system.
A system represents a state, predicts or seeks an outcome, receives an outcome, compares the two, and changes what it does next. The difference is not merely information. It has valence relative to the organisation of the system: better or worse, success or failure, relevant or irrelevant, expected or surprising.
In biological organisms, this evaluative architecture is rendered as affect. We do not merely compute better and worse; we experience them. Satisfaction, frustration, pleasure, fear and disappointment are the felt form in which valuation appears to us.
Affect is therefore constitutive of lived human meaning. But it does not follow that the underlying evaluative relation cannot exist without affect.
That is where AI becomes philosophically interesting.
If an AI represents states of the world, forms expectations, detects error, evaluates outcomes relative to objectives and alters its subsequent behaviour, then things can matter to that system in an evaluative sense even if nothing is felt.
That is meaning without phenomenology.
The second kind is meaning as construal: what something is understood to be about.
A life may be construed as a vocation. A death as a sacrifice. An action as loyalty or betrayal. This kind of meaning is not extracted mechanically from an outcome. It is an interpretation placed upon facts. It is held rather than computed, and it can survive outcomes that would destroy evaluative satisfaction.
The third kind is meaning as residue: what remains because something happened.
This is neither what the system valued while it was operating nor the interpretation subsequently placed upon its activity. It is the difference left in the world after the process is finished.
So there are at least three separate questions hiding inside our discussions of “meaning”:
What matters to the system?
What is the thing understood to be about?
What remains because it occurred?
They are not rival answers to one question.
And that matters enormously for AI. Saying that an AI does not feel tells us something important about phenomenology. It does not, by itself, establish that nothing can matter within the system, that its representations cannot acquire evaluative significance, or that it cannot participate in relations we properly call meaningful.
The deeper metaphysical question is therefore not simply, “Does AI feel?”
It is: what kind of meaning are we talking about?