Compute Economics is gPU access and pricing shape what's feasible. It sits in the Incentives dimension (INC) of the Human Behavior Taxonomy™ as element HBT-INC-0071, within the Economics family. The core principle: gPU access and pricing shape what's feasible. In incentive terms, it matters because it changes the payoff people perceive before they choose — which means it can be designed for, or exploited.
Scientific Definition
GPU access and pricing shape what's feasible.
Plain-English Definition
GPU access and pricing shape what's feasible.
Feynman Explanation
Strategy moves with the GPU curve.
Core Principle
GPU access and pricing shape what's feasible.
Mechanisms
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Inputs (Triggers)
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Outputs (Behaviors)
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Behavioral Signature
Strategy moves with the GPU curve.
Examples
- Inference cost-per-token shaping deployment patterns.
- Strategic infrastructure decisions.
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Original analysis from The Incentives Lab — how this element behaves inside real payoff structures.
Why this element matters to incentive design
This is one of the elements leaders describe as a values gap. It is a payoff gap. The mechanism underneath it operates in the Incentives dimension — what makes behavior more or less likely?. You can recognize it in the field by its signature: strategy moves with the GPU curve. Every element in the Incentives dimension changes the perceived payoff of an action before the action happens, which is exactly where incentive design has leverage.
How it gets exploited
Left undesigned, strategic infrastructure decisions. It is amplified whenever strategic infrastructure decisions. Inside organizations that shows up as strategic infrastructure decisions. The pattern is the same one Goodhart's Law describes: the measurable proxy attracts the effort, and the purpose behind it quietly loses funding.
How the Lab designs around it
The redesign move is to monitor compute cost trajectories. Plan against multiple scenarios. Design against it the way you would design against a known failure mode — assume it will appear, and price the exploit before someone finds it.
Famous Experiments
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Design Principles
- Monitor compute cost trajectories. Plan against multiple scenarios.
Measurement Approaches
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Evidence
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The Perverse Incentive Lens™
How this behavior is exploited — and how to redesign around it.
- Monitor compute cost trajectories. Plan against multiple scenarios.
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Interactive Mini Network
Click any neighbor to re-center the graph and follow the threads of connection.
Knowledge Graph Neighbors
Auto-linked to the rest of the Human Behavior Taxonomy by family, domain, dimension, and shared keywords.
AI investment outpacing measurable productivity gains.
Operating economics shaped by per-token pricing.
A handful of providers shape the entire AI economy.
Training is a one-time cost. Inference is forever.
Cache common prompt prefixes to reduce cost and latency.
Real cost includes data, ops, monitoring, governance, training.
Written rules about how AI may be used internally.
Innovators → early adopters → majority → laggards, AI-specific.
AI system that takes actions to achieve goals, often across tools.
When the agent acts, who's responsible?
Augmentation strategy vs. substitution strategy.
Logging of AI inputs, outputs, and decisions.
Where Compute Economics is cited in the corpus
Essays, field guides, and diagnostics from The Incentives Lab that apply this element.
- Field guideIncentives: definition, types, examples
The parent field guide for this element.
- ReferenceThe laws of incentives
Goodhart, Campbell, and the Cobra Effect.
- EssayAI Agents Inherit Your Incentives
How this element propagates into automated systems.
- ReferenceThe Periodic Table of Human Behavior
The full 1,267-element map this page belongs to.
- ReferenceThe incentive glossary
Definitions for every mental model, bias, and fallacy in the corpus.
Questions about Compute Economics
- What is Compute Economics?
- Compute Economics is gPU access and pricing shape what's feasible. It sits in the Incentives dimension (INC) of the Human Behavior Taxonomy™ as element HBT-INC-0071, within the Economics family. The core principle: gPU access and pricing shape what's feasible. In incentive terms, it matters because it changes the payoff people perceive before they choose — which means it can be designed for, or exploited.
- What is an example of Compute Economics?
- Strategic infrastructure decisions. The Incentives Lab catalogs everyday, organizational, and historical instances of this element on its Human Behavior Taxonomy™ page (HBT-INC-0071).
- How is Compute Economics exploited?
- Strategic infrastructure decisions.
- How do you design around Compute Economics?
- Monitor compute cost trajectories. Plan against multiple scenarios.
- Which behavioral dimension does Compute Economics belong to?
- Compute Economics is classified in the Incentives dimension (INC) of the Human Behavior Taxonomy™, family "Economics", class "AI-Behavioral Coupling". Its permanent identifier is HBT-INC-0071 and its evidence grade is C.