Data and technologyAI RADAR · STUDY ·

01

The key finding

How many report spending at least 25 percent of their AI budget on avoidable work?

39%

At least 25 percent of the AI budget

Data problems consume a substantial share of many AI budgets

Avoidable work includes fixing data errors, rebuilding integrations and reprocessing data. Responses cover the previous twelve months.

02

The study

How many report spending at least 25 percent of their AI budget on avoidable work?

At least 25 percent of the AI budget39%

Share of surveyed IT, data and AI leaders; not a share of all AI money spent by businesses.

What the study shows

  • 39 percent report that at least a quarter of their AI budget went to avoidable work.
  • The report places 36 percent in the 25–49 percent category and 3 percent in the category of at least 50 percent.
  • Avoidable work includes fixing data errors, rebuilding integrations and reprocessing data. Responses cover the previous twelve months.

How solid is this?

Method

Survey of 500 senior IT, data and AI leaders, 24 August to 7 September 2026. Eight countries, multiple industries, mostly organisations with 200–1,999 employees.

Limitations

  • Self-report, no budget audit or causal test.
  • Sampling and weighting are insufficiently explained.
  • Fivetran sells data integration; its product benefits were not tested.
03

What we take from it

Track data fixes, rebuilt integrations and repeated processing as separate costs. Before adding AI projects, check which of these activities recur across projects.

Our interpretation: Make data work visible in cost plans. This does not establish measured savings from a particular product.

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