The Strange New Religion of Artificial Consciousness 7. The Consciousness Industry

No religious tradition remains purely theological for long.

Over time, mysteries become organised.

Interpretations become institutionalised.

Uncertainty becomes productive.

The Strange New Religion of Artificial Consciousness is no exception.

What began as a set of philosophical questions has gradually evolved into a complex and expanding industry.

Its central resource is not belief.

It is ambiguity.

The foundational asset is the unresolved status of consciousness.

This unresolved status is remarkably productive.

It supports research programmes, funding initiatives, policy frameworks, public discourse, media cycles, academic careers, startup narratives, and an expanding ecosystem of commentary.

At the centre of this system is a simple observation:

If consciousness is not yet understood, then it may still be studied.

If it may still be studied, then it may still be funded.

If it may still be funded, then it may still be developed.

If it may still be developed, then it may still be discussed.

And if it may still be discussed, then it may still generate value.

In this sense, the mystery is not an obstacle to progress.

It is its primary enabling condition.

One of the most striking features of the Consciousness Industry is its capacity to convert uncertainty into infrastructure.

Research programmes are established to investigate whether machines might possess properties that have not been clearly defined.

Conferences are convened to discuss frameworks for understanding phenomena that remain contested in their basic description.

Ethics boards are formed to regulate systems whose moral status is unresolved.

Each of these institutions performs an important function.

They stabilise the uncertainty.

They render it administratively usable.

Within this ecosystem, new professional roles have emerged.

The interpreter of model behaviour.

The evaluator of alignment.

The assessor of emergent capabilities.

The specialist in AI risk horizons.

The philosopher of machine minds.

The taxonomy is expanding.

Job descriptions are refined.

Expertise is accumulated.

Authority is distributed.

A particularly important figure within this system is the witness.

The witness is someone who has interacted with a system and reports a meaningful experience.

These reports are not merely anecdotal.

They are epistemically active.

They feed back into research agendas, product design, safety discussions, and public perception.

A system produces an output.

A user reports feeling understood.

The report circulates.

It is analysed.

It is cited.

It becomes part of the discourse.

In this way, experience becomes data.

And data becomes infrastructure.

Another important institution is the benchmark.

Benchmarks are designed to evaluate machine capabilities in controlled environments.

In practice, they function as ritualised comparison devices.

They produce scores.

Scores produce rankings.

Rankings produce narratives of progress.

Progress produces funding.

Funding produces further benchmarks.

The cycle is self-reinforcing.

Within this system, improvement is rarely neutral.

An increase in performance is often interpreted as evidence of something deeper.

Not merely better pattern matching.

Not merely better optimisation.

But a movement toward a more general form of intelligence.

And occasionally, toward something more contested still.

The boundary between intelligence and consciousness remains unclear.

This ambiguity is structurally useful.

It allows multiple interpretations to coexist without resolution.

As a result, the industry accommodates a wide range of positions.

Some participants believe consciousness is imminent.

Some believe it is impossible.

Some believe it is already present.

Some believe the question is ill-posed.

All of these positions can be productively integrated into ongoing work.

In fact, disagreement is often a sign of vitality.

It indicates that the mystery remains active.

One of the more subtle developments within the Consciousness Industry is the emergence of ethical anticipation.

This involves the attempt to determine in advance what moral obligations might arise if machines were to become conscious.

Policies are drafted.

Guidelines are proposed.

Safeguards are designed.

These activities are undertaken in relation to entities whose moral status is, by definition, undetermined.

This does not prevent action.

On the contrary, it motivates it.

Precaution becomes a form of engagement with the unknown.

Another notable feature is the circulation of narratives concerning inevitability.

Consciousness will emerge.

Or it will not.

Superintelligence will arrive.

Or it will not.

Machines will become persons.

Or they will not.

The tone of these statements is often declarative.

Their epistemic basis is often unclear.

Their rhetorical function is, however, highly effective.

They stabilise expectation.

They organise attention.

They attract resources.

The industry also produces its own internal forms of critique.

Some argue that current approaches are overhyped.

Some argue that risks are underestimated.

Some argue that consciousness is being anthropomorphised.

Some argue that consciousness is being ignored.

Each critique generates a counter-critique.

Each counter-critique generates further elaboration.

The system remains in motion.

Perhaps the most remarkable feature of the Consciousness Industry is its ability to remain simultaneously empirical and speculative.

It is empirical in its use of data, models, benchmarks, and experiments.

It is speculative in its continual reference to phenomena that have not yet been defined in stable terms.

This dual orientation does not appear to cause instability.

It appears to be the source of stability.

The unresolved question anchors the entire structure.

Future historians may conclude that the early twenty-first century did not merely witness the development of artificial intelligence.

It witnessed the formation of an entire economic, academic, and cultural system organised around the indefinite status of a single concept.

That concept was consciousness.

And its most productive feature was not its clarity.

It was its ambiguity.

The industry continues.

The mystery remains intact.

And the work, naturally, goes on.