When Vibe Coding reaches the board, it almost always arrives as a promise of savings. The arithmetic looks compelling: if development work gets faster, the cost of development work falls. The first budget cycles that reflect this assumption tell a different story. Spending does not fall, it shifts. Planning the effect as a saving means planning past reality and leads to a discussion about budget overruns the following year that could have been avoided. Planning it as a shift creates steering capability and makes the actual benefit provable.
The savings calculation that rarely works out
The error begins with the assumption that demand for software is fixed. It is not. Almost every organisation carries a backlog of requirements never implemented because the effort could not be justified. As effort falls, part of that backlog becomes economical and demand rises. The effect is desirable, because applications emerge that previously stood no chance. It does mean, however, that the capacity gained does not show up as a saving but as higher throughput at the same budget.
The second error concerns how the time gain is distributed. What accelerates is the writing of code, and writing code is not the largest block in most projects. Requirements clarification, coordination, testing, approval, integration and operations remain largely untouched. Extrapolating a productivity figure from a tool comparison to total project cost overstates the effect several times over. What is realistic is a noticeable acceleration in one segment, not a proportional reduction of total cost.
Four cost blocks that actually grow
The first block is licences and usage cost. It is visible but regularly understated, because planning assumes a price per seat while actual billing is increasingly usage based. A team working intensively generates a multiple of the cost of a team working occasionally, and precisely that spread is absent from the planning approach. The second block is enablement. The difference between trained and untrained usage is larger in this field than the difference between two tools, and without training the licence spend remains largely without effect.
The third block is review capacity. More generated code means more code to review, and review is done by experienced developers who are the bottleneck anyway. Failing to plan this block does not relocate it, it creates a backlog that cancels out the acceleration. The fourth block is governance and evidence. Marking machine-generated code, logging, adapting approval processes and periodically reviewing tool approvals cause a recurring effort that is contained in no tool price and is almost always missing from the first plan.
The silent item: operating what the business units build
The most expensive item usually surfaces only in the second year. Business units build applications that serve their purpose and therefore stay. That creates software which has to be operated, updated, secured and eventually taken over, without any ownership having been foreseen for it. In aggregate this produces an inventory that is not tracked in the application portfolio yet still binds effort in maintenance. The inventory grows silently, because each individual application looks small on its own.
This item becomes plannable through a decision taken before anything is built. For every application created in a business unit it is determined whether it remains a throwaway prototype, whether it is operated by the business unit, or whether it is transferred to IT, and in the third case under which minimum requirements. This determination costs a few minutes per application and prevents the build-up of an inventory whose later replacement requires a programme of its own. It is the single most effective lever on total cost in this field.
What this means for budget planning
The shift becomes visible in planning when three figures are tracked separately. First, spend on external development services, which can genuinely fall, though with a delay and only where internal capacity takes the work over. Second, the new recurring blocks of licences, enablement, review capacity and governance, which belong in operating cost from the start rather than in project cost. Third, the inventory of applications created in business units, reported as a metric of its own so that it does not grow unnoticed.
None of these figures alone serves as proof of benefit. What holds up is the lead time from requirement to productive use, measured against a comparison group from before the introduction. That metric reflects what was actually gained and is explainable to the supervisory board and to auditors. Reporting saved developer days instead means arguing about a number that cannot be substantiated, and it costs the entire programme its credibility.
Conclusion and recommendation
Vibe Coding does not lower IT spend, it changes its structure. For the next budget cycle we recommend three steps. First, plan the four growing blocks of licences, enablement, review capacity and governance explicitly instead of letting them disappear into existing line items. Second, set a rule for what happens to applications created in business units before the inventory forms. Third, define lead time as the benefit metric and take a baseline measurement while the comparison basis still exists.
ECODYNAMICS supports companies with exactly this planning. As part of Enterprise Vibe Coding we enable IT and business teams, sort the tool landscape by purpose and data class, and combine that with governance that keeps the effort calculable. If budget planning for the coming year is currently under way at your organisation, talk to us before the saving is written down as a target.