AI Economics: ROI Calculation Methodologies for Enterprise AI — From Traditional Metrics to AI-Specific Frameworks
Abstract
Return on Investment (ROI) calculation for artificial intelligence projects presents unique methodological challenges that traditional IT investment frameworks fail to adequately address. This article presents a comprehensive analysis of ROI calculation methodologies specifically designed for enterprise AI initiatives, introducing the AI-Adjusted ROI (AAROI) framework which incorporates learning curve effects, capability spillovers, strategic optionality, and risk-adjusted discount rates.
Fields of Study & Subjects
Capital Investment and Risk Analysis
Information Technology Governance and Strategy
Artificial Intelligence Applications
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 12 February 2026
- Language
- EN
- Document type
- Preprint