Vendor Lock-In Risk is concentration risk on a single AI provider. It sits in the Incentives dimension (INC) of the Human Behavior Taxonomy™ as element HBT-INC-0287, within the Strategy family. The core principle: concentration risk on a single AI provider. 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
Concentration risk on a single AI provider.
Plain-English Definition
Concentration risk on a single AI provider.
Feynman Explanation
Diversify before you wish you had.
Core Principle
Concentration risk on a single AI provider.
Mechanisms
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Inputs (Triggers)
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Outputs (Behaviors)
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Behavioral Signature
Diversify before you wish you had.
Examples
- Enterprises with everything riding on one foundation model.
- Strategic risk management.
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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 element is common enough to feel like human nature and specific enough to be engineered around. 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: diversify before you wish you had. 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 risk management. It is amplified whenever strategic risk management. Inside organizations that shows up as strategic risk management. 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 multi-model architectures. Abstraction layers. Portability assumptions. Treat it as infrastructure. Once you can see it in your own system, most of the argument about culture resolves itself.
Famous Experiments
Pending editorial review.
Design Principles
- Multi-model architectures. Abstraction layers. Portability assumptions.
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.
- Multi-model architectures. Abstraction layers. Portability assumptions.
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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.
Augment when judgment matters. Automate when scale matters.
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.
When the agent acts, who's responsible?
Categorizing AI use cases by risk level.
Systematic skew in model behavior across groups.
Operating economics shaped by per-token pricing.
Where Vendor Lock-In Risk 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.
- EssayIncentives Under Crisis
How this element behaves under pressure.
- ReferenceThe Periodic Table of Human Behavior
The full 1,267-element map this page belongs to.
- CourseIncentives 101
The free ten-part primer on reading a payoff structure.
Questions about Vendor Lock-In Risk
- What is Vendor Lock-In Risk?
- Vendor Lock-In Risk is concentration risk on a single AI provider. It sits in the Incentives dimension (INC) of the Human Behavior Taxonomy™ as element HBT-INC-0287, within the Strategy family. The core principle: concentration risk on a single AI provider. 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 Vendor Lock-In Risk?
- Strategic risk management. The Incentives Lab catalogs everyday, organizational, and historical instances of this element on its Human Behavior Taxonomy™ page (HBT-INC-0287).
- How is Vendor Lock-In Risk exploited?
- Strategic risk management.
- How do you design around Vendor Lock-In Risk?
- Multi-model architectures. Abstraction layers. Portability assumptions.
- Which behavioral dimension does Vendor Lock-In Risk belong to?
- Vendor Lock-In Risk is classified in the Incentives dimension (INC) of the Human Behavior Taxonomy™, family "Strategy", class "AI-Behavioral Coupling". Its permanent identifier is HBT-INC-0287 and its evidence grade is C.