Pro-Innovation Bias is assuming new technology will be adopted faster and more usefully than it will. It sits in the Identity dimension (IDN) of the Human Behavior Taxonomy™ as element HBT-IDN-0019, within the Belief Bias family. The core principle: assuming new technology will be adopted faster and more usefully than it will. 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
Assuming new technology will be adopted faster and more usefully than it will.
Plain-English Definition
Assuming new technology will be adopted faster and more usefully than it will.
Feynman Explanation
The future is here — just not in any department that has to actually use it.
Core Principle
Assuming new technology will be adopted faster and more usefully than it will.
Mechanisms
Assuming new technology will be adopted faster and more usefully than it will.
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Inputs (Triggers)
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Outputs (Behaviors)
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Behavioral Signature
The future is here — just not in any department that has to actually use it.
Examples
- An exec promises full AI rollout by Q3; the field hasn't been told yet.
- Investment pacing decoupled from adoption reality.
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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 is straightforward: assuming new technology will be adopted faster and more usefully than it will. You can recognize it in the field by its signature: the future is here — just not in any department that has to actually use it. Every element in the Identity 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, aI strategy delivered to the board before HR or ops have been consulted. It is amplified whenever investment pacing decoupled from adoption reality. Inside organizations that shows up as investment pacing decoupled from adoption reality. 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 plan adoption curves bottom-up, not top-down. Pilot before pronouncing. The leverage is not in explaining the behavior to people. It is in changing what the behavior earns.
Famous Experiments
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Design Principles
- Plan adoption curves bottom-up, not top-down. Pilot before pronouncing.
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.
- Plan adoption curves bottom-up, not top-down. Pilot before pronouncing.
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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.
A story repeats until it becomes obviously true.
Contradictory evidence sometimes deepens the original belief.
Beliefs survive the evidence that should have killed them.
We hunt for evidence that we were right all along.
Updating beliefs too slowly when new evidence arrives.
Believing people get what they deserve.
Reflexively rejecting evidence that contradicts established norms.
Studying winners while ignoring identical losers.
We defend existing systems even when they harm us.
Evaluating an argument's logic based on whether you agree with the conclusion.
We see bias in others more easily than in ourselves.
Low ability paired with high confidence.
Where Pro-Innovation Bias is cited in the corpus
Essays, field guides, and diagnostics from The Incentives Lab that apply this element.
- EssayCulture Is the Residue of Incentives
Identity as an outcome of what gets rewarded.
- EssayIncentive Intelligence
The six dimensions of reading a payoff structure.
- 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 Pro-Innovation Bias
- What is Pro-Innovation Bias?
- Pro-Innovation Bias is assuming new technology will be adopted faster and more usefully than it will. It sits in the Identity dimension (IDN) of the Human Behavior Taxonomy™ as element HBT-IDN-0019, within the Belief Bias family. The core principle: assuming new technology will be adopted faster and more usefully than it will. 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 Pro-Innovation Bias?
- Investment pacing decoupled from adoption reality. The Incentives Lab catalogs everyday, organizational, and historical instances of this element on its Human Behavior Taxonomy™ page (HBT-IDN-0019).
- How is Pro-Innovation Bias exploited?
- AI strategy delivered to the board before HR or ops have been consulted.
- How do you design around Pro-Innovation Bias?
- Plan adoption curves bottom-up, not top-down. Pilot before pronouncing.
- Which behavioral dimension does Pro-Innovation Bias belong to?
- Pro-Innovation Bias is classified in the Identity dimension (IDN) of the Human Behavior Taxonomy™, family "Belief Bias", class "Cognitive Bias". Its permanent identifier is HBT-IDN-0019 and its evidence grade is B.