Augmentation vs. Automation is augment when judgment matters. Automate when scale matters. It sits in the Incentives dimension (INC) of the Human Behavior Taxonomy™ as element HBT-INC-0037, within the Strategy family. The core principle: augment when judgment matters. Automate when scale matters. 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
Augment when judgment matters. Automate when scale matters.
Plain-English Definition
Augment when judgment matters. Automate when scale matters.
Feynman Explanation
Two strategies. Often confused. Different outcomes.
Core Principle
Augment when judgment matters. Automate when scale matters.
Mechanisms
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Inputs (Triggers)
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Outputs (Behaviors)
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Behavioral Signature
Two strategies. Often confused. Different outcomes.
Examples
- Customer service tier-1 vs. customer service complex case.
- Strategic AI deployment pattern.
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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: two strategies. Often confused. Different outcomes. 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 AI deployment pattern. It is amplified whenever strategic AI deployment pattern. Inside organizations that shows up as strategic AI deployment pattern. 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 audit each workflow: augment or automate? Choose explicitly. 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
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Design Principles
- Audit each workflow: augment or automate? Choose explicitly.
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.
- Audit each workflow: augment or automate? Choose explicitly.
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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.
Augmentation strategy vs. substitution strategy.
Stages of organizational AI capability.
AI strategy = decisions about which capabilities to build and where.
Strategic choice on AI capability sourcing.
AI capability outpacing organizational ability to use it.
Specialized training on domain data.
Open-weight vs. API-only models.
Concentration risk on a single AI provider.
Reduced vigilance with automated systems.
Operating economics shaped by per-token pricing.
Written rules about how AI may be used internally.
Innovators → early adopters → majority → laggards, AI-specific.
Where Augmentation vs. Automation 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 Augmentation vs. Automation
- What is Augmentation vs. Automation?
- Augmentation vs. Automation is augment when judgment matters. Automate when scale matters. It sits in the Incentives dimension (INC) of the Human Behavior Taxonomy™ as element HBT-INC-0037, within the Strategy family. The core principle: augment when judgment matters. Automate when scale matters. 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 Augmentation vs. Automation?
- Strategic AI deployment pattern. The Incentives Lab catalogs everyday, organizational, and historical instances of this element on its Human Behavior Taxonomy™ page (HBT-INC-0037).
- How is Augmentation vs. Automation exploited?
- Strategic AI deployment pattern.
- How do you design around Augmentation vs. Automation?
- Audit each workflow: augment or automate? Choose explicitly.
- Which behavioral dimension does Augmentation vs. Automation belong to?
- Augmentation vs. Automation is classified in the Incentives dimension (INC) of the Human Behavior Taxonomy™, family "Strategy", class "AI-Behavioral Coupling". Its permanent identifier is HBT-INC-0037 and its evidence grade is C.