Intelligence Is Becoming Abundant. What Becomes Scarce Next?
Artificial intelligence is reducing the scarcity of many cognitive capabilities. LVH Theory examines what happens to human value, authority and responsibility when intelligence itself is no longer the primary constraint.
LVH Theory
most of human history, advanced cognitive capability was scarce. Expertise, analysis, memory, prediction and judgment were limited by individual knowledge, time and access.
Artificial intelligence is changing that condition.
As increasingly capable systems make cognition cheaper, faster and more widely available, a new question emerges:
What becomes valuable when intelligence itself becomes abundant?
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LVH Theory proposes that the human advantage does not simply disappear as machines become more capable.
Instead, scarcity may shift.
The critical human contribution may increasingly move away from producing intelligence and toward deciding what intelligence should be used for, under whose authority, with what limits and who remains responsible for the consequences.
Abundant Intelligence
Cognitive capability becomes increasingly available.
Scarcity Displacement
Value moves toward new constraints.
Human Authority
Purpose, legitimacy and responsibility become more consequential.
The Core Thesis
LVH begins with a simple economic and institutional observation:
When a capability that was once scarce becomes abundant, the surrounding constraints become more important.
Artificial intelligence can increasingly generate answers, predictions, strategies and recommendations.
But greater capability does not automatically answer:
Who should decide?
Who has legitimate authority?
Who can create an exception?
Who represents the people affected?
Who can intervene?
Who remains accountable?
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LVH Theory therefore distinguishes cognitive capability from legitimate human authority.
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The central proposition is not that humans will always think better than machines.
LVH does not depend on permanent human cognitive superiority.
Its stronger claim is that even highly capable artificial systems operate within social, legal and institutional structures where purpose, mandate, legitimacy, representation and responsibility still require explicit governance.
From Capability to Authority
Artificial intelligence can increasingly produce outputs that appear intelligent, persuasive and useful.
But capability and authority are different categories.
A system may be capable of recommending a medical treatment without possessing the social mandate to consent on behalf of a patient.
It may be capable of evaluating a worker without automatically possessing legitimate authority to determine that person's future.
It may produce an optimal public policy recommendation without possessing democratic representation.
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Capability answers what can be done. Authority answers who has the right to decide.
LVH places this distinction at the center of human-AI governance.
The Human Guarantor
A genuine Human Guarantor requires more than symbolic presence.
The guarantor must possess:
- Competence — enough understanding to evaluate the system and its limits.
- Judgment — the ability to interpret context and recognize exceptions.
- Mandate — a legitimate role within the decision process.
- Authority — the actual power to challenge, modify or stop an outcome.
- Intervention — sufficient access and time to act.
- Accountability — the obligation to answer for consequential decisions.
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A human who cannot understand, intervene or override is not governing the system.
Formation Before Delegation
LVH Theory also introduces a developmental question.
Children growing up today will have continuous access to systems capable of explaining, solving, remembering, creating and advising.
This creates a new educational challenge:
What should a person learn to do independently before learning to delegate it?
Delegation can be valuable.
But delegation before development may weaken the very capacities required to evaluate what is being delegated.
LVH therefore proposes a principle:
Formation Before Delegation
Human agency, judgment, responsibility and intellectual humility should be exercised before they are extensively outsourced to artificial systems.
This is one of the bridges between LVH Theory and HH Education.
Core Concepts
- Abundant Intelligence
- Scarcity Displacement
- Human Agency
- Human Authority
- Responsible Delegation
- The Human Guarantor
- Formation Before Delegation
- Radical Observability
- Institutional Responsibility
Radical Observability
Artificial intelligence does not only increase what systems can generate.
It also increases what institutions may be able to infer about people.
Behavior, language, preferences, patterns and relationships can increasingly become observable or predictable.
LVH therefore distinguishes two concepts:
KNOWLEDGE ≠ PERMISSION
The technical ability to know or infer something does not automatically create the legitimate right to use it.
THOUGHT ≠ ACTION
Inference about a person’s internal state should not automatically be treated as equivalent to behavior.
The more observable human beings become, the more important rules governing access, purpose, context and legitimate use may become.
Responsibility Must Be Institutional
LVH does not assume that individual virtue alone can govern increasingly complex artificial systems.
Human responsibility must also be embedded in institutions.
That means designing:
- clear decision rights;
- defined authority;
- appeal mechanisms;
- escalation pathways;
- limits on automated action;
- meaningful human intervention;
- and traceable accountability.
The question is not merely whether a trustworthy person exists.
The question is whether the surrounding system gives that person the information, authority and institutional support required to act.
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Responsible people require responsible architectures.
LVH Is a Research Program, Not a Finished Answer
LVH Theory combines normative propositions, conceptual distinctions and empirical hypotheses.
Some claims concern what societies should value.
Others can be studied and potentially challenged through evidence.
HH HUMAN therefore treats LVH as an open research program rather than a closed doctrine.
Research questions:
- Does growing AI capability reduce the economic premium on specific human cognitive skills?
- Does greater AI delegation increase organizational demand for accountability and human authority?
- When does human oversight become ceremonial rather than effective?
- Does early cognitive delegation affect the development of independent judgment?
- Do people continue to value procedural legitimacy when AI systems outperform human decision-makers?
- Which institutional designs produce meaningful human intervention?
- How does radical observability affect autonomy, privacy and trust?
FROM THE BOOK
A situated function built around competence, judgment, mandate, legitimacy, authority and responsibility.
The Human Advantage May Not Be Superior Intelligence
LVH Theory does not attempt to identify a permanent list of things artificial intelligence will never be able to do.
That would make the theory dependent on uncertain technological limits.
Instead, LVH asks a different question:
Even if machines become more capable than humans, what conditions still determine legitimate purpose, authority, representation and responsibility?
The human advantage may therefore become less about cognitive superiority and more about the architecture surrounding power.
WHO DECIDES?
Capability does not determine legitimate authority.WHO CAN INTERVENE?
Human presence matters only when intervention is real.WHO REMAINS RESPONSIBLE?
Delegation must not dissolve accountability.