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Buy vs. Build Is the Wrong Question for Enterprise AI

The honest answer is almost never buy or build. It is buy these layers, build that one, and partner where you lack the muscle but need someone accountable. This is a framework for getting it right, layer by layer.

How a Healthcare Org Made Its Data AI-Ready Without Ripping and Replacing

You Are Either Rebuilding Commodities or Outsourcing Your Edge

  • Treat AI as one decision, and you rebuild plumbing you should have bought or hand a vendor the one thing that was your edge.

  • Decompose it by layer, default each layer, and decide build, buy, or co-build for each one.

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The Numbers That Make This A Board-Level Conversation

76%
Of AI use cases now purchased rather than built, up from 53% a year earlier
70/30
Where mature AI programs land: buy ~70%, build the differentiated ~30%
67%
Success rate of vendor co-builds, versus roughly half that for fully internal builds

The Three Criteria Every AI Leader Needs

Build When It Is Advantage

If a capability underpins your competitive position, build it, because buying it means competitors can buy the same thing.

Buy When It Is Commodity

If the capability is undifferentiated, buying is faster, cheaper, and frees your team.

Let Honest TCO Be the Tiebreaker

Cost and ROI is consistently the single most overriding factor in these decisions, and the one teams model worst.

The 4-Step Decision Framework That Gets You There

Step 1 - Decompose into layers

Break the capability into infrastructure and models, platform and orchestration, application and workflow, and data and domain logic. You are deciding four things, not one.

Step 2 - Default each layer

Buy infrastructure and platform, blend application, build and own data and domain logic. The teams that lose do the reverse: they reinvent infrastructure while using generic applications that do not fit. Then look for reasons to deviate.

Step 3 - Apply the three criteria, then run honest TCO

For anything you are tempted to build, ask: is it a real advantage, sensitive, or deeply integrated? If none, buy it.

Step 4 - Decide build, buy, or co-build, then revisit on a cadence

For each layer you will build, ask whether a partner co-build would raise your odds.

Decide by Layer, Count the Real Cost, Keep What Is Yours

The market has settled the commodity layers: buy them. The differentiated layer, your data, your domain logic, the last mile, is yours to own.

Frequently Asked Questions

Almost never. Foundation models and infrastructure are commoditized and improving fast. Build the data and domain logic on top, not the model underneath, unless extreme scale or regulation forces self-hosting open models.

Statistically, no. Fully internal builds succeed at about half the rate of vendor co-builds, largely for lack of external accountability. You can keep ownership and control while co-building the hard parts.

In the differentiated 30%. Build does not have to mean build entirely from scratch with your own people, which is the riskiest path. Co-build with a partner who brings production experience and external accountability while you keep the IP, the data, and the result.

No. The 76% is buying the commodity layers, which is right. The differentiated ~30%, your proprietary data and workflow logic, is where building still wins. Buying that away is buying away your advantage.

Building down the stack and buying up it: reinventing infrastructure while using generic applications that do not fit. Do the reverse.