Pilot Purgatory is aI pilots that succeed and never scale. It sits in the Incentives dimension (INC) of the Human Behavior Taxonomy™ as element HBT-INC-0204, within the Adoption family. The core principle: aI pilots that succeed and never scale. 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
AI pilots that succeed and never scale.
Plain-English Definition
AI pilots that succeed and never scale.
Feynman Explanation
Death by a thousand pilots.
Core Principle
AI pilots that succeed and never scale.
Mechanisms
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Inputs (Triggers)
Pending editorial review.
Outputs (Behaviors)
Pending editorial review.
Behavioral Signature
Death by a thousand pilots.
Examples
- Enterprises with dozens of pilots and zero production deployments.
- Common AI failure mode.
Pending editorial review.
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: death by a thousand pilots. 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, common AI failure mode. It is amplified whenever common AI failure mode. Inside organizations that shows up as common AI failure mode. 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 design pilots with scaling criteria from day one. The test of any redesign here is simple: after the change, can you name what the organization is now doing less of? If not, the payoff structure did not actually move.
Famous Experiments
Pending editorial review.
Design Principles
- Design pilots with scaling criteria from day one.
Measurement Approaches
Pending editorial review.
Evidence
Pending editorial review.
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The Perverse Incentive Lens™
How this behavior is exploited — and how to redesign around it.
- Design pilots with scaling criteria from day one.
Pending editorial review.
Pending editorial review.
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.
Innovators → early adopters → majority → laggards, AI-specific.
Discounting algorithmic advice even when superior.
AI bolted onto existing workflows to look forward-leaning.
Redesigning roles around AI capability.
Pre-deployment analysis of who loses what.
Teams under-reporting AI capability to protect comp or status.
Employees using unauthorized AI tools to get work done.
AI doesn't just replace tasks — it threatens identities.
Written rules about how AI may be used internally.
AI system that takes actions to achieve goals, often across tools.
When the agent acts, who's responsible?
Augmentation strategy vs. substitution strategy.
Where Pilot Purgatory 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 Pilot Purgatory
- What is Pilot Purgatory?
- Pilot Purgatory is aI pilots that succeed and never scale. It sits in the Incentives dimension (INC) of the Human Behavior Taxonomy™ as element HBT-INC-0204, within the Adoption family. The core principle: aI pilots that succeed and never scale. 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 Pilot Purgatory?
- Common AI failure mode. The Incentives Lab catalogs everyday, organizational, and historical instances of this element on its Human Behavior Taxonomy™ page (HBT-INC-0204).
- How is Pilot Purgatory exploited?
- Common AI failure mode.
- How do you design around Pilot Purgatory?
- Design pilots with scaling criteria from day one.
- Which behavioral dimension does Pilot Purgatory belong to?
- Pilot Purgatory is classified in the Incentives dimension (INC) of the Human Behavior Taxonomy™, family "Adoption", class "AI-Behavioral Coupling". Its permanent identifier is HBT-INC-0204 and its evidence grade is C.