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Artifical Intelligence – Myth or Measurable? A systematic framework to determine AI-induced productivity gains

Authors:
Sibylle Kunz
Claudia Hess

Keywords: artificial intelligence; productivity; profitability; cost of ownership

Abstract:
Many companies using Analytical and Generative Artifical Intelligence (AI) are proclaiming productivity gains, but there is still no structured approach how to calculate the real values. This article shows a set of dimensions to classify use cases with regard to savings in time/ cost or rises in quality and suggests a way of calculating results based on the relationship between productivity and profitability. To estimate the costs, a Total-Cost-of-Ownership (TCO) approach for AI systems is introduced, covering the whole system lifecycle. Comparing both structures, estimations of AI benefits can be calculated more efficiently. A set of AI projects from different branches is used to demonstrate the appropriateness of the framework.

Pages: 1 to 6

Copyright: Copyright (c) IARIA, 2025

Publication date: July 6, 2025

Published in: conference

ISBN: 978-1-68558-285-2

Location: Venice, Italy

Dates: from July 6, 2025 to July 10, 2025