Adoption Curve (AI)
Innovators → early adopters → majority → laggards, AI-specific.
"Stage one bought tools. Stage two will redesign work."
What is Adoption Curve (AI)? Innovators → early adopters → majority → laggards, AI-specific. Strategy phasing.
Diffusion patterns observable across industries.
Strategy phasing.
Know which curve segment you're targeting. Pitch accordingly.
Pick what to reward the model for.
Innovators → early adopters → majority → laggards, AI-specific. In the wild: Diffusion patterns observable across industries.
Pick a lever. There are no neutral ones — every incentive funds a behavior somewhere.
Pick a reaction to Adoption Curve (AI)
One tap. We'll point you at the most useful next surface based on how this hits.
The full taxonomy entry
Every concept in the Atlas uses the same structure — so Adoption Curve (AI) can be compared, recombined, and cited like an element on a periodic table.
- Business
- Leadership
- Government
- Healthcare
- Education
- Sales
- Marketing
- AI
- Negotiation
- Media
- Public Policy
- Relationships
- Where in our org would Adoption Curve (AI) most often show up unnoticed?
- Which metric, ritual, or contract clause quietly rewards Adoption Curve (AI)?
- If we removed every payoff for Adoption Curve (AI), what behavior would replace it?
- Who benefits when Adoption Curve (AI) persists — and who pays the cost?
- People defend the status quo using the language of adoption curve (ai).
- 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.
Every Atlas entry is a node in a knowledge graph. See the related rail below to follow the connections.
See Adoption Curve (AI) through 3 lenses
Each layer of the Incentives OS reframes this concept with its own thinkers, vocabulary, and diagnostic question.
Do you actually know Adoption Curve (AI)?
Three quick questions. Result is saved into your review streak — come back when the term is due to lock it in.
Which best describes Adoption Curve (AI)?
Worked example, counter-example & concept map
On-demand AI analysis grounded in the Lab's research. Cached on your device after first run.
Your nervous system has a region for this.
When you encounter Adoption Curve (AI), your dopamine system is tracking the gap between what you expected and what you got — and that gap is what's driving the next move, not the reward itself.
Wanting, anticipation, prediction error, motivational salience. Predictable rewards stop motivating. The phone buzz fires dopamine; the message itself rarely does.
See Dopamine in the Brain Atlas →Picked for you, from the Atlas
Ranked by shared learning paths, overlapping chips, and what you've saved.
Discounting algorithmic advice even when superior.
AI bolted onto existing workflows to look forward-leaning.
Redesigning roles around AI capability.
AI pilots that succeed and never scale.
Pre-deployment analysis of who loses what.
Teams under-reporting AI capability to protect comp or status.
Send the card, not just the link
A pre-rendered social card with the title, eyebrow, and URL. Copy the link, post it anywhere, or download the SVG for slides.
More definitions to follow
Every term in the Atlas connects to a dozen others. Pick any of these and see where it takes you.
Training for appearance can crowd out mobility, longevity, and mental health.
We judge frequency by how easily examples come to mind.
We remember our past choices as better than they were.
Stacking fines on low-income defendants creates debt traps and recidivism.
Aggressive enforcement and complex eligibility turn a safety net into a liability trap.
Algorithms show us content that reinforces our existing views.
Human oversight without per-decision review.
We say yes more often to people we like.
Ambitious objectives paired with measurable key results.
The sense of where the body is in space.
We remember the beginning and the end of a list better than the middle.
Each day: one big thing, three medium things, five small things. Nothing else counts.