Why do companies risk making the wrong call on AI and software investment right now?

Because AI has made building software cheaper and faster than ever, many enterprises are shifting from "we can't build" to "we should build" without asking if it's the right call. ADAPTOVATE's research argues the next wave of failure won't come from under-investing in technology — it will come from over-investing in the wrong things. The full report explains how to avoid that trap.

Who wrote this research and what is it based on?

The paper was authored by ADAPTOVATE's CEO and senior Managing Directors and Partners across its US and Canada offices, drawing on the firm's direct experience advising enterprises on technology strategy and AI transformation. It reflects patterns observed across client engagements rather than a formal survey. Download the report for the full analysis behind these conclusions.

Why does the build vs buy decision matter more now than before?

Because AI has removed the traditional barriers — cost, team size, technical complexity — that once made the decision straightforward. What used to be an infrastructure question is now a strategic one: whether building creates real competitive advantage or simply adds cost and risk without differentiation. Getting it wrong has become easier, and more expensive, to do.

What is actually changing because of AI, and what isn't?

AI is lowering the cost of development, DevOps, testing, and design work, closing gaps that once made building unattractive. What hasn't changed is the need for proprietary data, sound enterprise architecture judgment, change management, and strong cybersecurity ownership — all still fundamentally human-led. The full report breaks down each shift in detail.

How should executives decide whether to build or buy?

The decision should be driven by strategic value, not just feasibility or cost — specifically, whether a capability creates genuine competitive advantage worth owning. ADAPTOVATE's report sets out a structured way to weigh that judgment for every major software investment. Download the full report for the complete framework and evaluation criteria.

AI Changes the Economics,Not the Decision:Rethinking Build vs Buy

For two decades, enterprises have approached the build-versus-buy software decision the same way: weighing feasibility against cost. That calculus has just been upended. AI has cut the cost and complexity of building software by orders of magnitude — following earlier shifts triggered by SaaS and cloud infrastructure — putting build back on the table for organizations that once defaulted to buying. But lower barriers introduce a new danger: overbuilding. As "we can't build" becomes "we can build," many enterprises will drift into building non-differentiated capabilities, underestimating the long-term cost of owning and maintaining what they create.

ADAPTOVATE's latest paper, authored by its CEO and senior partners across its US and Canada offices, argues that the next wave of enterprise technology failure will not come from under-investing in technology — it will come from over-investing in the wrong things. The question enterprises now face isn't simply "build or buy," but where technology creates genuine competitive advantage worth building for, and where it doesn't.

The report lays out a new way to evaluate every major software investment in the AI era, and what to do next to avoid building where it doesn't matter.

Download the full report to see ADAPTOVATE's complete framework for making the build vs buy call.

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