Everyone Argues Build vs. Buy. For Most Companies the Answer Is Neither.

Pull up the B4 Index and count the verdicts. Of 1,603 scored software categories, 105 land in BUILD. That’s just 7 percent. Outright BUY takes 647, about 40 percent. BEWARE, the quadrant where vendor pricing power is evaporating, holds 326.

The biggest block after BUY sits in a quadrant the build-vs-buy debate doesn’t even have a name for so I created one. BRIDGE. Where purchasing software is the right move, but with an eye towards extensibility and the future. It’s 525 categories out of the current 1,603. One in three. More than BUILD and BEWARE combined.

The debate stays a binary because the question is as old as SaaS. When building meant hiring a dev team and spending eighteen months on a waterfall product, build-or-buy was a genuine fork in the road. AI collapsed the build cost, so now everyone needs to reconsider the boundary. Build vs. Buy talks past the place where a third of the market actually sits.

The model in one minute

The B4 framework scores every category on two axes. The X-axis is strategic differentiation: does owning this system make you different in a way customers pay for, enough to justify carrying it forever? The Y-axis is AI feasibility: could a competent team, with today’s models, actually build and run this? Four quadrants fall out.

• BUY (low differentiation, low feasibility): commodity infrastructure that’s genuinely hard to build for one reason or another. Buy it and spend your energy elsewhere.

• BUILD (high differentiation, high feasibility): strategic and buildable. The rarest verdict in the index at 7 percent. But also the one that may give you the biggest edge. Consider carefully.

• BEWARE (low differentiation, high feasibility): a buildable commodity. Your leverage is enormous and the vendor knows it.

• BRIDGE (high differentiation, mid feasibility): strategic enough to own eventually, still too heavy to build cleanly today. Think of bridge as Buy now Build Later or even Buy now, extend now.

BRIDGE reads like a hedge until you look at what it actually tells you to do. It’s the most specific runbook of the four.

PIM as an instructive category

Take Product Information Management. Every manufacturer and e-commerce company runs one: the system that holds product data, attributes, and channel feeds. Here are its live scores.

Strategic control: 5 out of 5. Product data is a competitive weapon. How you describe, categorize, and enrich products directly drives conversion. Your PIM encodes how you think about your products.

Specificity: 4 out of 5. Data models, attribute hierarchies, validation rules, channel-specific enrichment. All of it is deeply yours.

Together those put strategic differentiation at 4.5. Firmly in “own this eventually” territory.

AI feasibility: 3 out of 5. Open-source platforms exist (Pimcore, Akeneo Community) and real manufacturers run them in production. But implementations take 6 to 18 months, and the hard parts stay hard: data modeling, governance, ERP integration, channel syndication. AI writes the enrichment. It hasn’t dissolved the plumbing.

Vendor value: 4 out of 5, which in my rubric means you’re paying for far more than you use. Commercial PIM runs $25K to $200K+ a year (Akeneo, Salsify, inRiver), while the supplier portals and print publishing modules most companies never touch pad the invoice.

High X, middling Y. That’s BRIDGE, and the verdict comes with three moves:

1. Buy the platform, shorten the term. The feasibility axis moves in one direction. A three-year renewal is a bet that PIM won’t get more buildable by 2029. I wouldn’t take that bet on any category whose Y-score is climbing.
2. Own the intelligence layer now. AI-generated descriptions, attribute extraction, translation, data-quality validation. That’s where the differentiation lives, your product data is the input, and it’s buildable today even at 3-out-of-5 feasibility. Build at the edges while you rent the core.
3. Architect for portability. Keep the data model exportable and the integrations documented. The exit option is your leverage in every renewal, and it turns the eventual build move from a rewrite into a migration.

The verdict that proves the quadrant

Sales compensation management might be the single most defensible custom build in enterprise software. Commission logic is deterministic and proprietary; a competitor seeing your comp plan gains real advantage; AI writes the calculation engine straight from your plan documents. Teams run exactly this in production today.

It still scores BRIDGE. Vendor pricing hasn’t spiked ($25 to $75 per user per month, increasingly transparent), and the unglamorous tail is real: ASC 606 compliance, audit governance, approval workflows. So the play is surgical. Keep the vendor as the compliant system of record, build the what-if modeling and analytics they charge extra for, and revisit at every renewal.

The quadrant is the verdict. The dimensions are the playbook.

Why a third of all software lands here

The two axes move at different speeds. AI feasibility ratchets upward every quarter with each model release and new agentic system that comes online. Strategic differentiation barely moves; what made your company distinct last year mostly still does (hopefully). Categories pile up in the gap between those speeds: strategic enough to own, still too heavy to build. BRIDGE is where categories wait while AI catches up to their complexity.

Which means BRIDGE is temporary for any single category and permanent as a population. Individual categories graduate toward BUILD as feasibility climbs, and the quadrant refills behind them. If you check the index each quarter, the BRIDGE column is where the interesting motion happens.

Run this on your own stack

At your next renewal, ask two questions about the system in front of you:

1. Does owning this make us different in a way customers pay for?
2. Could a competent team with today’s AI actually build and run it?

Yes on the first, “almost” on the second: you’re in BRIDGE. Shorten the term, own the intelligence layer, keep the exit option live.

You can search all categories in the directory, and the methodology behind the axes is on the framework page. The full decision system is my book, Build or Buy, out this month. For the quarterly re-scores as they land, there’s The Build Report.