Build or Buy Is Still the Wrong Question

By Miriam Horovicz // Jan 2026

In 2026, AI makes building easy but owning hard, so the real decision isn’t build vs. buy, it’s whether you should own the system and have the right team to sustain it.

Build or Buy Is Still the Wrong Question

By Miriam Horovicz // Jan 2026

In 2026, every enterprise is asking the same familiar question: should we build it, or should we buy it? We’ve been asking this for decades, but the ground has shifted. AI collapsed development costs. Internal systems that once took quarters now take days. What used to require full teams can now start with a handful of engineers and a prompt.

So enterprises are building again.

And that’s both an opportunity and a risk.

Because “build vs buy” isn’t a technical decision. It’s an organizational one. And AI didn’t remove that complexity, it amplified it.

AI Changed the Cost of Starting, Not the Cost of Owning

AI is exceptional at getting you to version one. A prototype appears fast. A workflow works. An internal system feels “done.” But ownership starts after the demo. AI doesn’t own uptime, handle audits, track compliance drift, patch security vulnerabilities, or support internal users at scale.

Enterprises don’t struggle because they can’t build software. They struggle because they underestimate what it means to run it.

Talent and Focus Decide More Than Technology

Build vs buy depends less on what can be built, and more on who you have and what you’re focused on. An enterprise with strong platform engineers, deep domain expertise, and clear internal ownership can successfully build systems others shouldn’t touch. An enterprise whose talent is optimized for product delivery, customer-facing innovation, and speed over infrastructure will pay a hidden tax when it builds the wrong things.

AI doesn’t replace this distinction. It sharpens it. It gives every team the ability to start, but only the right teams can sustain.

When Enterprises Should Buy

Buying makes sense when the system is non-differentiating, widely standardized, security- and compliance-heavy, and operationally boring but business-critical. Identity, billing, permissions, observability, and internal admin tooling are solved problems.

Here, SaaS isn’t about convenience. It’s about risk transfer. You’re paying for continuous security updates, built-in compliance, incident response and support, and a vendor whose core focus is keeping this system alive. That’s not giving up control. That’s choosing where to spend it.

When Enterprises Should Build

Enterprises should build when the system encodes unique business logic, directly reflects how the organization operates, would require extreme customization to buy, or creates leverage specific to the company. Internal systems are often the right place to build: proprietary workflows, decision engines, domain-specific orchestration, and deeply integrated internal platforms.

Here, AI is a force multiplier. It allows small, senior teams to move fast — as long as ownership is explicit and long-term.

The Real Enterprise Tradeoff

The real question in 2026 isn’t “build or buy.” It’s whether this is something we want to own, and whether we are the right team to own it. AI lowers the cost of writing code. It does nothing to lower the cost of responsibility. Every system you build adds maintenance load, security surface area, and cognitive overhead.

Focus is finite. Talent is unevenly distributed. Good enterprises design around both.

The 2026 Reality

In the age of AI, enterprises don’t fail by building. They fail by building without intent. The strongest organizations are deliberate. They buy stability. They build differentiation. They align decisions with talent and focus.

The future isn’t build or buy.
It’s knowing, clearly, which is which.