Mental Models · Markets

Diffusion of Innovations

Innovators → early adopters → early majority → late majority → laggards.

"If you're selling to the late majority, the innovation is over."

Quick answer

What is Diffusion of Innovations? Innovators → early adopters → early majority → late majority → laggards. Marketing, change management, and strategy phasing.

In the wild

AI adoption curves inside companies.

Why it matters in the room

Marketing, change management, and strategy phasing.

Counter-move

Know which adopter segment you're talking to today. The pitch changes.

Visual · Pattern

Diffusion of Innovations — a recurring shape in how people decide.

Live example · Apply Diffusion of Innovations

Use the model. Pick the move.

Innovators → early adopters → early majority → late majority → laggards. You've just seen this: AI adoption curves inside companies. Which lever does the model recommend?

● Live

Pick a lever. There are no neutral ones — every incentive funds a behavior somewhere.

How does this land?

Pick a reaction to Diffusion of Innovations

One tap. We'll point you at the most useful next surface based on how this hits.

Human Behavior Element™ · HBE Spec

The full taxonomy entry

Every concept in the Atlas uses the same structure — so Diffusion of Innovations can be compared, recombined, and cited like an element on a periodic table.

About the standard →

HBT-M1952

Official name

Diffusion of Innovations

Mental Models · Markets

Identity

HBT ID

HBT-M1952

Symbol

Official name

Diffusion of Innovations

Synonyms

Markets

Keywords

Mental Models, Markets, human behavior, incentive design

Version

v1.0

Last updated

Maintained by The Incentives Lab

Classification

Kingdom

Cognition

Domain

Frameworks

Family

Mental Model

Class

Markets

Element

Diffusion of Innovations

Definition

Scientific

Innovators → early adopters → early majority → late majority → laggards.

Plain-English

Innovators → early adopters → early majority → late majority → laggards.

Feynman

If you're selling to the late majority, the innovation is over.

Core principle

Innovators → early adopters → early majority → late majority → laggards.

One-sentence summary

Marketing, change management, and strategy phasing.

Mechanisms

Psychological

Innovators → early adopters → early majority → late majority → laggards.

Behavioral econ.

Marketing, change management, and strategy phasing.

Neurological

Reward, threat, and salience circuits bias attention toward the cue.

Evolutionary

Heuristics that paid off in ancestral environments now misfire in modern systems.

Sociological

Group norms and status incentives reinforce the pattern across a team.

Computational

Models trained on biased human signals will replicate and amplify the pattern.

Systems thinking

Feedback loops between metrics, incentives, and behavior lock the pattern in place.

Signals & signature

Inputs (activators)

AI adoption curves inside companies.

Outputs (observable)

Marketing, change management, and strategy phasing.

Behavioral signature

You see Diffusion of Innovations when the explanation for a decision sounds reasonable but the outcome keeps repeating.

Behavioral molecules

Often combines with related Atlas entries — see the rail below.

Pathways · before

A goal, metric, or contract clause makes the behavior rational locally.

Pathways · after

Locally rational choices accumulate into a systemic distortion.

Domains where it shows up

Business
Leadership
Government
Healthcare
Education
Sales
Marketing
AI
Negotiation
Media
Public Policy
Relationships

Examples

Everyday

AI adoption curves inside companies.

Modern

Marketing, change management, and strategy phasing.

Historical

A pattern repeatedly documented since the foundational behavioral science literature on mental model.

Famous experiments

See the References block — primary papers in the Atlas link out to the original studies.

Design principles

How to leverage

Marketing, change management, and strategy phasing.

How to reduce

Know which adopter segment you're talking to today. The pitch changes.

How to redesign

Know which adopter segment you're talking to today. The pitch changes.

The Perverse Incentive Lens™

How it's exploited

Organizations weaponize diffusion of innovations — sometimes deliberately, often by accident — when metrics reward the symptom rather than the outcome.

Common perverse incentives

Volume metrics, short review windows, bonus cliffs, and contracts that pay on activity rather than impact.

Failure modes

When Diffusion of Innovations dominates, teams optimize for the dashboard while the real outcome quietly degrades.

Incentive redesign

Know which adopter segment you're talking to today. The pitch changes.

Ethical considerations

Don't engineer diffusion of innovations into customers, employees, or citizens as a manipulation tactic — design for informed choice instead.

Diagnostic questions

Where in our org would Diffusion of Innovations most often show up unnoticed?
Which metric, ritual, or contract clause quietly rewards Diffusion of Innovations?
If we removed every payoff for Diffusion of Innovations, what behavior would replace it?
Who benefits when Diffusion of Innovations persists — and who pays the cost?

Organizational warning signs

Metrics

A KPI is hit while the underlying outcome stalls or worsens.

Behaviors

People route around the rule rather than challenge it.

Language

'That's just how we do it here.' / 'The system requires it.'

Culture

Naming the pattern is treated as disloyalty.

Red flags

People defend the status quo using the language of diffusion of innovations.
Decisions cluster around the easiest narrative rather than the strongest evidence.
New data changes the slide deck but not the decision.
Anyone naming the pattern is treated as the problem.

Intervention playbook

Immediate

Make the perverse payoff visible to the people creating it.

30-day

Run a small pilot that pays for the outcome, not the proxy.

Long-term

Rewrite the comp plan, contract, or ritual so the right behavior becomes the easy behavior.

AI considerations

Detect

Audit training data and reward signals for the same pattern this element describes.

Avoid amplifying

Don't optimize models on metrics that already encode the perverse incentive.

Counteract

Use the model to surface where the pattern is most active, then redesign the incentive — not the model.

Measurement

Metrics

Outcome-to-proxy ratio over time.

Assessment

The Incentives Lab III Diagnostic.

Survey

Calibrated pulse questions on rules vs. outcomes.

Behavioral signals

Where people work around the system.

Observational

Where the dashboard and the lived experience disagree.

Scientific evidence

Evidence grade

Synthesized from the behavioral science literature; see Atlas references.

Replication

Tracked in the Atlas as primary, replicated, or contested.

Intervention confidence

Moderate — patterns generalize, mechanisms vary by context.

Research consensus

Broad agreement on the pattern; ongoing debate on boundary conditions.

Known limitations

Local context, culture, and incentive structure all change the strength of the effect.

Open questions

How does Diffusion of Innovations interact with AI-mediated decisions at scale?

References

Primary papers

See the Research Center →

Books

Curated in the Magazine →

Meta-analyses

Tracked in the Atlas registry.

Seminal authors

Kahneman, Tversky, Thaler, Ariely, Cialdini, Ostrom, Simon — and the field they built.

Cross references

Every Atlas entry is a node in a knowledge graph. See the related rail below to follow the connections.

Disciplinary layers

See Diffusion of Innovations through 4 lenses

Each layer of the Incentives OS reframes this concept with its own thinkers, vocabulary, and diagnostic question.

Test yourself · 60 seconds

Do you actually know Diffusion of Innovations?

Three quick questions. Result is saved into your review streak — come back when the term is due to lock it in.

Question 1 of 3Score: 0/3

Which best describes Diffusion of Innovations?

Go deeper

Worked example, counter-example & concept map

On-demand AI analysis grounded in the Lab's research. Cached on your device after first run.

Diagnose

Find this pattern in your org →

15-minute III Assessment.

Learn

Master incentive intelligence →

12-week Executive Course.

Engage

Bring the Lab to your team →

Speaking, retainers, training.

How this lands in you

Your nervous system has a region for this.

Primary region

Striatum & Nucleus Accumbens →

When you encounter Diffusion of Innovations, your striatum has built a reward association — and the next time the cue appears, it will push you toward the behavior whether you decide to or not.

Reward learning, habit formation, anticipation, craving, action selection. Habits live here. So do addictions. Variable rewards train this circuit faster than fixed ones.

See Striatum in the Brain Atlas →