AI Strategy - 2026

Build vs. Buy AI the decision that determines your AI investment ROI.

The build vs. buy AI decision in 2026 is not binary - it is a spectrum. Most companies should buy for commodity workflows (writing, research, communications) and consider building only where they have proprietary data, unique workflows, or competitive differentiation that justifies the cost and complexity of custom development.

The short version

The default answer in 2026 for most companies is buy. Off-the-shelf AI tools like Claude, ChatGPT, and specialized vertical tools handle 80 to 90% of business AI use cases at a cost of $20 to $200 per user per month. Building custom AI solutions costs $200,000 to $2M+ depending on complexity, and most do not outperform the commercial tools they were meant to replace.

By Bill Colbert - Treetop
Updated May 2026

When to buy off-the-shelf AI

Buy when: the use case is a commodity workflow (writing, research, analysis, communications), the commercial tools solve it well, your competitive advantage does not depend on AI differentiation in this area, and you can be operational in days rather than months. This describes 80 to 90% of AI use cases at most companies.

When to consider building

Build when: you have proprietary data that gives custom models a significant advantage over general-purpose models, the workflow is so specific to your operations that no commercial tool addresses it well, the competitive advantage is significant enough to justify the cost and timeline, and you have the technical team to build and maintain it. This is a much smaller set of use cases than most companies initially assume.

The real cost of building

Custom AI development: $200,000 to $2M+ for initial development, $50,000 to $200,000 per year in maintenance, 6 to 18 months to first production deployment, significant ongoing technical expertise required. Compare to buying: $20 to $200 per user per month, deployable in days to weeks, no maintenance burden. The ROI case for building over buying is almost never as strong as it appears in the initial business case.

The decision framework

Run through these questions before choosing: Does this workflow require proprietary data to perform well? Does commercial AI handle it at acceptable quality today? What is the real 3-year total cost of build vs. buy? Does our team have the technical capacity to build and maintain this? Is the competitive advantage significant enough to justify the gap in speed and cost? If you cannot answer yes to most of the build questions, buy.

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