Job Redesign is redesigning roles around AI capability. It sits in the Incentives dimension (INC) of the Human Behavior Taxonomy™ as element HBT-INC-0166, within the Adoption family. The core principle: redesigning roles around AI capability. 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
Redesigning roles around AI capability.
Plain-English Definition
Redesigning roles around AI capability.
Feynman Explanation
Bolting AI onto existing jobs leaves both half-broken.
Core Principle
Redesigning roles around AI capability.
Mechanisms
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Inputs (Triggers)
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Outputs (Behaviors)
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Behavioral Signature
Bolting AI onto existing jobs leaves both half-broken.
Examples
- Customer service roles fundamentally redesigned around AI augmentation.
- Where productivity gains actually materialize.
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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
Most organizations meet this element as a personnel problem. It is not one. 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: bolting AI onto existing jobs leaves both half-broken. 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, where productivity gains actually materialize. It is amplified whenever where productivity gains actually materialize. Inside organizations that shows up as where productivity gains actually materialize. 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 don't add AI to old jobs. Design new ones. 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
- Don't add AI to old jobs. Design new ones.
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.
- Don't add AI to old jobs. Design new ones.
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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.
Innovators → early adopters → majority → laggards, AI-specific.
Discounting algorithmic advice even when superior.
AI bolted onto existing workflows to look forward-leaning.
AI pilots that succeed and never scale.
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 Job Redesign 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.
- CourseIncentives 101
The free ten-part primer on reading a payoff structure.
- ReferenceThe incentive glossary
Definitions for every mental model, bias, and fallacy in the corpus.
- ReferenceThe Periodic Table of Human Behavior
The full 1,267-element map this page belongs to.
Questions about Job Redesign
- What is Job Redesign?
- Job Redesign is redesigning roles around AI capability. It sits in the Incentives dimension (INC) of the Human Behavior Taxonomy™ as element HBT-INC-0166, within the Adoption family. The core principle: redesigning roles around AI capability. 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 Job Redesign?
- Where productivity gains actually materialize. The Incentives Lab catalogs everyday, organizational, and historical instances of this element on its Human Behavior Taxonomy™ page (HBT-INC-0166).
- How is Job Redesign exploited?
- Where productivity gains actually materialize.
- How do you design around Job Redesign?
- Don't add AI to old jobs. Design new ones.
- Which behavioral dimension does Job Redesign belong to?
- Job Redesign is classified in the Incentives dimension (INC) of the Human Behavior Taxonomy™, family "Adoption", class "AI-Behavioral Coupling". Its permanent identifier is HBT-INC-0166 and its evidence grade is C.