Build vs. Buy vs. Partner (AI)
Strategic choice on AI capability sourcing.
"Three answers. Different bets. Pick wrong and you wear it."
What is Build vs. Buy vs. Partner (AI)? Strategic choice on AI capability sourcing. Capital allocation and strategic positioning.
Foundation model decisions across enterprises.
Capital allocation and strategic positioning.
Decide per layer of the stack. Don't make one decision for all of AI.
Pick what to reward the model for.
Strategic choice on AI capability sourcing. In the wild: Foundation model decisions across enterprises.
Pick a lever. There are no neutral ones — every incentive funds a behavior somewhere.
Pick a reaction to Build vs. Buy vs. Partner (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 Build vs. Buy vs. Partner (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 Build vs. Buy vs. Partner (AI) most often show up unnoticed?
- Which metric, ritual, or contract clause quietly rewards Build vs. Buy vs. Partner (AI)?
- If we removed every payoff for Build vs. Buy vs. Partner (AI), what behavior would replace it?
- Who benefits when Build vs. Buy vs. Partner (AI) persists — and who pays the cost?
- People defend the status quo using the language of build vs. buy vs. partner (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 Build vs. Buy vs. Partner (AI) through 2 lenses
Each layer of the Incentives OS reframes this concept with its own thinkers, vocabulary, and diagnostic question.
Do you actually know Build vs. Buy vs. Partner (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 Build vs. Buy vs. Partner (AI)?
Worked example, counter-example & concept map
On-demand AI analysis grounded in the Lab's research. Cached on your device after first run.
When you encounter Build vs. Buy vs. Partner (AI), your prefrontal cortex has to do extra work to override the automatic response — and that override budget is finite.
Executive control, planning, impulse override, working memory, System 2. First thing to go offline under stress, fatigue, or low blood sugar. Why your 4pm decisions are worse than your 9am ones.
See Prefrontal in the Brain Atlas →Picked for you, from the Atlas
Ranked by shared learning paths, overlapping chips, and what you've saved.
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.
AI capability outpacing organizational ability to use it.
Specialized training on domain data.
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.
Employees using unauthorized AI tools to get work done.
Stop, Take a breath, Observe, Proceed — a micro-intervention to insert a gap between stimulus and response.
Free products monetize attention, structurally aligning incentives against user time well spent.
We overweight whoever has the bigger title in the room.
Don't remove something until you understand why it was put there.
Fixed costs don't scale with output; variable costs do.
Self-control draws from a limited daily pool. (Contested in lab; observed in life.)
Federal policy forces homeowners to rebuild doomed structures while waiting on mitigation buyouts.
Systems paid per filled bed have weak incentives to invest in prevention or community health.
When quality is hard to verify, bad products drive out good ones.
Key node of the brain's reward circuit; tracks anticipation of rewards.
We assume our current state will persist into the future.