AI Makes Software Easier to Build, but Ownership Costs Remain
AI-assisted development has lowered the barrier to building custom software, but experts warn that the real cost begins after launch, as businesses must factor in maintenance, security, and long-term ownership.
A growing number of businesses are revisiting a familiar question: instead of renewing another SaaS subscription or settling for a platform that only partly fits their operations, why not build the tool themselves? A few years ago, the answer was usually no, since custom software demanded dedicated developers, long timelines, and large budgets. AI-assisted development has shifted that calculation, allowing people with deep domain knowledge to turn an idea into a working prototype in days, and sometimes hours.
That shift is significant, but industry observers note that the ability to build software is not the same as the readiness to own it. The upfront cost of testing an idea has fallen sharply, yet the larger advantage lies in relevance. Teams inside a business understand its problems in ways an outside vendor often cannot. A finance team knows exactly where its invoicing process breaks down, while an operations manager knows which system staff actually rely on, regardless of what official procedures say.
AI gives the people closest to these problems far more ability to shape, prototype, and test the software meant to solve them. According to Retool's 2026 Build vs. Buy report, 35 percent of surveyed builders said they had already replaced functionality from at least one SaaS product with something custom-built. Building in-house tends to make the most sense when the software captures knowledge unique to the company, directly improves the value it delivers, or gives the business greater control over its data.
However, something that is easy to build is not automatically worth owning. This is where the so-called vibe coding approach can be misleading. AI has dramatically reduced the cost of reaching day one, but it has not eliminated the challenges of day 500. Software that goes live must still be maintained, secured, updated, and supported over time, and those responsibilities carry ongoing costs that are easy to overlook during a fast prototype phase.
For many organizations, the lesson is that the build-versus-buy decision now depends less on development effort and more on long-term ownership. Teams weighing a custom build are being advised to assess who will maintain the code, how security and compliance will be handled, and whether the business can sustain the tool as its needs evolve. The falling cost of creation has made experimentation more accessible, but the discipline of running software remains a serious commitment.
