The Vibe Coding Value Shift

When Every App Takes Three Hours to Build — What Are We Still Paying For?

Imagine this: an employee describes what they need to an AI system in plain language. Three hours later, a fully functional application is running — built without a single line of manually written code, without a requirements document, without a project team. What two years ago would have been a six-month project with a matching budget is today an afternoon task.

This is not a vision of the future. This is Vibe Coding — and it is fundamentally changing what software is worth.

Part 1: The Value of Software Was Never the Software Itself

For years, companies paid for software — or more precisely, for the scarcity of software. Developers were hard to find, development was expensive, and anyone who wanted a specialized solution had to either buy one or invest heavily in custom development.

That scarcity principle is what built the SaaS model. Five features, neatly packaged, billed monthly — customers paid because the alternative was more expensive. Not because the software itself was so valuable.

Vibe Coding dismantles that principle. When a standard function can be developed in hours rather than months, the pricing justification for many SaaS products collapses. Buying software that you could build yourself in a few hours is becoming increasingly difficult for decision-makers to justify — to the board, to controlling, to themselves.

Part 2: The SaaS Pricing Model Is Under Pressure

The calculation many software vendors have relied on went like this: we amortize expensive development across many customers — you pay subscription, we scale. That was fair, as long as development was genuinely expensive.

Today, the cost side is changing radically. When AI-assisted development reduces the production cost of software by a factor of 10 or 100, the question becomes: who benefits from that — the vendor or the customer?

So far: the vendor. Subscription prices have not fallen even as development costs decline. On the contrary — at many platforms they are rising, because new AI features get packaged as premium tiers.

This will not last. Once companies — and their IT departments — understand what Vibe Coding actually makes possible, they will start asking: Why are we still paying for this?

Part 3: What Remains Genuinely Valuable?

This is the decisive shift — and it affects not only software vendors, but also consulting firms, IT service providers, and internal IT teams.

When producing software becomes trivial, value shifts to what is not trivial:

Process knowledge. Knowing which processes are worth digitizing — and how — is not automatable. AI can write code. AI cannot decide whether a company should standardize its quoting process, or whether that is precisely where its competitive differentiation lies.

Integration expertise. Building an app in three hours is one thing. Integrating that app cleanly into a grown ERP landscape, existing data structures, and regulatory requirements is a different category of task entirely. Systems competence and integration depth become more important, not less.

Judgment. What should a company build itself — and what should it buy? Which custom development makes strategic sense, and which merely generates technical debt under a new name? These questions require experience, context, and independence.

Software was never the product. It was always just the vehicle. The product was always the functioning process behind it.

Part 4: What Does This Mean for Decision-Makers Today?

The consequence is not theoretical — it is budget-relevant and strategic.

For CIOs and project leads in B2B industrial companies, this means the next software purchasing decision should carry a different question than before. Not just "What does this solution cost?" but: "Could we build this — or parts of it — ourselves today? And if so, what are we actually buying?"

This is not a call to replace SaaS across the board. Platforms with genuine depth — robust data models, stable APIs, regulatory compliance, global scalability — retain their value. But that value lies precisely there: in platform maturity, not in five features that a well-directed AI system can replicate in an afternoon.

What decision-makers should examine now:

• Which of our active software subscriptions cover functions that could today be built in-house with reasonable effort?
• Where are we paying for complexity we no longer need — because AI is handling the simplification?
• Which processes are so business-critical or differentiating that we would consciously take on the risk of building them ourselves?
• And: who in our organization has the process knowledge to answer these questions in an informed way?

The last question is the hardest — and the most important.

Vibe Coding is not hype. It is a structural intervention in the economics of software. Those who ignore it will be paying subscription invoices in three years for things others have long since built themselves.

Those who understand it have the opportunity to redirect software budget into process competence — and create genuine, lasting competitive advantage.