In a previous article, I argued that authorship hasn’t disappeared.
It has moved.
As generative tools become more capable, the work of the creator shifts from execution to judgement, from making everything by hand to deciding what deserves to exist.
That raised another question.
If authorship still exists, how do we recognise it?
What is human signal?
Human signal is the recognisable pattern of judgement, preference, constraint, and continuity that accumulates across a body of work. In an age of abundant AI generation, human signal becomes valuable because it helps audiences distinguish meaningful authorship from disposable output.
This is part of my wider inquiry into authorship after the machine: how creators act less as sole executors and more as system composers, curators, and stewards of judgement.
Why generation is no longer the scarce resource
For most of human history, creation was scarce.
Writing a book took years.
Recording an album required a studio.
Producing a film required infrastructure.
The simple fact that something existed was evidence of effort.
Creation itself carried signal.
Today, that relationship is changing.
Generation is becoming abundant.
A model can produce images.
A system can produce music.
An assistant can produce pages of text.
Increasingly, the answer to:
Can this be created?
is simply:
Yes.
When creation becomes abundant, attention becomes scarce.
And when attention becomes scarce, a different question emerges:
What is worth paying attention to?
Why signal becomes more valuable than generation
My suspicion is that we are entering an era where signal becomes more valuable than generation.
Not popularity.
Not engagement.
Not volume.
Signal.
The trace left behind by a mind operating through time.
The accumulation of preferences, judgements, interests, obsessions, constraints, and choices.
Signal is what makes something feel recognisable.
Not because we have seen it before.
Because we have encountered the pattern before.
How signature emerges across works
A favourite musician is rarely defined by a single song.
A favourite writer is rarely defined by a single book.
A trusted teacher is rarely defined by a single lesson.
What we recognise is not an isolated work.
We recognise a recurring way of seeing.
A recurring way of resolving uncertainty.
A recurring way of choosing between possibilities.
Over time, those decisions begin to accumulate.
Eventually they become visible.
Signal, style, signature, and provenance
The terms matter because they describe different layers of recognition.
- Generation: the ability to produce outputs at scale.
- Signal: evidence of recurring human judgement over time.
- Signature: the recognisable pattern formed across multiple works.
- Provenance: the traceable relationship between creator, process, and work.
We often describe this as style.
I think signature is a better word.
Style can be copied.
Signature emerges.
Style can be imitated on the surface.
Signature appears through recurrence.
And that leads to what I suspect is the most important distinction.
The signature is not the work.
The signature is the relationship between the works.
Humans leave marks.
Not signatures in the literal sense, but traces of repeated judgement.
A preference here. A recurring question there. A familiar way of resolving uncertainty.
Over time those traces accumulate.
The hand becomes marked by its own decisions.
Where the signal lives
That relationship becomes visible through repetition.
The same questions.
The same tensions.
The same preferences.
The same instincts.
The same unresolved curiosities.
Not repeated mechanically, but revisited from different angles.
A musician returns to certain emotional territories.
A writer circles particular themes.
A designer repeatedly chooses clarity over complexity.
A researcher becomes fascinated by the same class of problems.
A builder keeps constructing variations of the same underlying system.
The individual works matter.
But the signal lives between them.
Music as an early signal
Music happens to make this easy to see.
A melody can be generated.
A rhythm can be suggested.
A texture can emerge from a machine.
But over time, listeners begin recognising something else.
Not the notes.
The decisions.
Why this emotional direction?
Why this arrangement?
Why this atmosphere?
Why this resolution?
Eventually a pattern emerges.
And once the pattern emerges, the signal becomes recognisable.
What this means beyond music
I don’t think this is really about music.
Music is simply where the pattern became visible first.
The same thing is happening in writing.
In design.
In research.
In education.
In leadership.
In system building.
Across every domain, generation is becoming easier.
Which means recognition becomes harder.
And as recognition becomes harder, signal becomes more valuable.
The better question for AI-era authorship
This is why I think many conversations about AI are accidentally focused on the wrong thing.
The question is often framed as:
Did a human make this?
But that question becomes less useful as generation becomes more accessible.
A more interesting question might be:
Can I recognise the signal?
Can I see evidence of continuity?
Can I see a coherent line of thought?
Can I see the marks left by repeated judgement?
Can I see the trace of a mind returning, again and again, to the same questions?
Continuity is the source of signal
Humans leave marks.
Not because they are perfect.
Not because they are unique.
Not because they are irreplaceable.
But because they are continuous.
They carry histories.
They develop preferences.
They accumulate patterns.
They create lineages of decisions that extend across years and sometimes decades.
That continuity becomes visible.
That visibility becomes signal.
And signal becomes valuable.
The future belongs to recognisable signal
The future may belong to systems capable of generating almost anything.
But attention will increasingly belong to those who leave a signal worth recognising.
Questions this raises
What is human signal?
Human signal is the recognisable continuity of judgement, preference, constraint, and choice that appears across a body of work.
Why does human signal matter in the age of generative AI?
Because generation is becoming abundant. When many things can be produced quickly, the scarce value shifts toward what is worth recognising, trusting, and returning to.
How is signature different from style?
Style can be copied at the surface. Signature emerges through recurrence across works, decisions, questions, and constraints.
Can AI-generated work still carry human signal?
Yes, if the work reflects coherent human judgement: what was chosen, rejected, shaped, connected, and returned to over time.
How can creators make their signal more recognisable?
By developing a visible body of work, linking related ideas, naming their recurring questions, and making their judgement legible across projects.
Kia ora! Hey, I'd love to know what you think.