AI Economics: Data Acquisition Costs and Strategies — The First Economic Gatekeeper of Enterprise AI
Abstract
Data acquisition represents the foundational economic challenge of enterprise AI implementation, often consuming 40-80% of total project budgets before a single model is trained. This article presents a comprehensive economic framework for understanding, planning, and optimizing data acquisition costs across different organizational contexts.
Fields of Study & Subjects
Impact of AI and Big Data on Business and Society
Artificial Intelligence Applications
Technology's Impact on Media
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 12 February 2026
- Language
- EN
- Document type
- Preprint