What Does AI Cost for Businesses? Prices and Budgets 2026

In short: an AI licence for one workplace currently starts at 18.20 Euro per person and month in Germany. That is the smallest and most predictable of the three positions an AI budget consists of. The actual size is decided by the other two: the one-off rollout and the ongoing running cost. Anyone comparing list prices alone is planning around exactly the positions that later break the budget.

The question "what does AI cost a company?" therefore cannot be answered with a single figure, but it can be answered with a structure. This article sets out the three cost blocks, gives verified prices as of 15 September 2026, and works through an example for a company with 50 employees.

What does an AI licence cost per employee?

The visible part of AI cost is the workplace. It is billed per person and month, usually with an annual commitment. The following prices come from the providers' official pricing pages, each net per user and month on annual billing.

Two points matter more than the price comparison itself. First, providers often require a base subscription for the full feature set, and it has to be in place already. Second, the billing mode is a real lever: with ChatGPT Business, paying monthly costs around 25 percent more than paying annually. For a company with 20 AI workplaces the pure licence block therefore sits between roughly 4,400 and 6,700 Euro per year, and it is the only part of the budget you know exactly in advance.

Why the licence is the smallest cost position

An AI budget consists of three blocks that differ sharply in size and predictability. Companies that do not separate them end up comparing offers that are not comparable.

The licence is the only position with a price tag. The other two blocks are created by decisions made inside the company, and that is precisely where the room for manoeuvre lies.

What does rolling out AI cost?

A rollout is a project, not a purchase. It covers four work steps that apply regardless of the tool chosen:

• Selecting the processes: which tasks are worth it at all, measured by frequency and handling time.
• Data and integration: the most expensive item. AI that has to be connected to grown legacy systems costs a multiple of AI that runs in a browser.
• Training and rules: staff need to operate the tools safely, and a binding usage policy is required. Our article on the EU AI Act sets out which duties follow from European law.
• Measurement: without a baseline, no benefit can be evidenced later.

Published market ranges for a first productive AI project at an SME run from roughly 15,000 to 80,000 Euro depending on the provider. Those are provider figures, not surveyed market data, so they serve as rough orientation rather than a basis for calculation. The number only becomes reliable once the scope is fixed, which is why one cleanly bounded first use case is cheaper than a large programme.

Which running costs companies underestimate

Running cost is the position that actually breaks budgets, because it grows with usage rather than with headcount. In 2026 this is no longer a theoretical risk. According to heise online, spending on AI tools at Atlassian tripled from 5 million US dollars, with 120 million US dollars expected for the full year. Amazon responded by introducing token limits, and Citi temporarily blocked access to newer models. In German development teams, budgets for model usage run at 500 to 1,000 Euro per head according to Table.Briefings.

On top of that come items that appear on no pricing page. The IONOS Digitalguide names among others:

• billing in US dollars and therefore exchange rate risk
• required base subscriptions for the full feature set
• minimum licence volumes and paid but unused seats
• technical data protection measures for providers outside the EU

Companies that do not cap these positions up front pay them later without planning for them, which is why a spending limit belongs in the rollout from day one.

When does an AI investment pay off?

Cost alone is not a basis for a decision, the counter calculation belongs next to it. It works with three figures every company already has: how often a task occurs, how long it takes, and what an internal working hour costs.

An example with the assumption stated openly: a recurring analysis occurs 20 times a month and takes 2 hours each time. At an internal rate of 50 Euro per hour that is 2,000 Euro a month. If handling time drops to 15 minutes, 500 Euro remain. In our own SAKi project exactly that happened, where a previously two hour task fell to minutes.

• Frequency times duration times hourly rate gives the current cost of the process.
• The difference after automation is the monthly benefit.
• Benefit divided by rollout cost gives the payback period in months.

The hourly rate here is an assumption and has to be replaced by your own. What matters is the logic: a use case that does not pay for itself within twelve months on honest figures is the wrong first use case.

How much budget is realistic for an SME?

A worked example for a company with 50 employees, 15 of whom work with AI daily: the licence block comes to around 3,300 Euro per year. Rolling out a single, clearly bounded use case is the larger item, and running cost the smaller one, as long as usage stays capped. The order matters more than the total.

The pressure to start at all is real. According to a survey by the German digital association Bitkom, 36 percent of companies with 20 or more employees were using AI in September 2025, against 20 percent a year earlier. A further 47 percent are planning or discussing it. The survey covered 604 companies in Germany.

The workable rule is this: start with one use case, one spending limit and one measured value. If that first case holds, investing in the second is an evidenced decision rather than a bet. Which consulting service carries which price is broken down in our article What does an AI consultant cost?, and the question of which tool fits at all is answered in our comparison ChatGPT or Copilot.

Where we fit in

We advise companies on exactly this question, so our own price belongs here. Our AI potential analysis costs a one-off 999 Euro and is credited against a subsequent implementation. It delivers the basis for a decision that is missing from most budget discussions: which process pays off, which cost block dominates, and what sum is realistic for the first use case. You will find the overview under services and prices, and we answer questions directly via our contact form.