Workflows and controlAI RADAR · STUDY ·

01

The key finding

How many report AI spending significantly above expectations or budget?

59%

Significantly above expectation or budget

AI spending often exceeds plans

Responses cover the previous twelve months.

Limitation: Executives reported the figures; they were not independently checked against company budgets.

02

The study

How many report AI spending significantly above expectations or budget?

Significantly above expectation or budget59%

Share of surveyed senior executives; expenditure over the previous twelve months.

What the study shows

  • 59 percent report AI expenditure significantly above expectations or budget.
  • The report displays about 60 percent; the dated publisher release gives 59 percent.
  • Responses cover the previous twelve months.

How solid is this?

Method

September 2026: 500 senior executives at organisations with revenue above USD 1 billion, across ten countries and 13 industries. Supplemented by two expert interviews.

Limitations

  • No budget audit or causal test; sampling and weighting insufficiently explained.
  • Large enterprises do not represent SMEs.
  • Capgemini sells AI and transformation consulting.
03

What we take from it

For one important AI workflow, track model costs, data work, review and rework. Regularly compare total costs with the budget and the value of usable results.

Your 10-minute check

Tick the boxes and go through them with your team. Fewer than three ticks? Then it is worth a closer look.

Our interpretation: Cost control should cover the complete workflow. This finding establishes neither losses nor a lack of AI value.

What does this mean for your company? Book a conversation ↗