In the heart of Madrid, a 120‑hectare parcel is earmarked for a tech innovation hub. The plan calls for developing 85 hectares for new uses, including offices, hotels and educational facilities, as part of the broader Madrid Innovation District initiative.
In late October 2026, the consultancy firm Savills flagged a simple multiplication mistake in the economic report that had inflated the projected annual benefit from €1.46 million to €98.6 million. The miscalculation was identified as a material error in the recategorisation of the Real Madrid City Sports Complex in Valdebebas.
The Madrid City Council publicly acknowledged the mistake, describing it as a “material error” and confirming that the recategorisation will be corrected to reflect the accurate benefit figure. The council’s statement underlines the need to align the project’s financial forecasts with reliable data.
Despite the error, the recategorisation has already been approved by the Madrid city government.
Savills, which prepared the original study, also highlighted the error. Its involvement in spotting the mistake reinforces the importance of independent verification in large‑scale public‑private projects.
Real Madrid is set to exploit a 1.2 million‑square‑metre parcel in Valdebebas as part of the development. While the club has not issued a comment on the miscalculation, the corrected figures will affect the municipality’s expected revenue from the land.
Despite the error, the recategorisation has already been approved by the Madrid city government. The council intends to move forward with the innovation district, pending the updated economic assessment.
The incident highlights the necessity for rigorous financial analysis and transparent procurement processes when commissioning consultancy firms. Accurate data are essential for maintaining public confidence in large urban projects.
As Madrid pushes ahead with its ambition to create a vibrant tech hub, the city must ensure that its financial foundations are sound. Correcting the benefit calculation is a crucial step toward that goal, underscoring the broader lesson that precision in public‑sector studies is indispensable.