What question did this study set out to answer?

The central aim is to explore and optimize the costs associated with data acquisition in enterprise AI projects.

February 14, 2026Open Access

AI Economics: Data Acquisition Costs and Strategies — The First Economic Gatekeeper of Enterprise AI

Key Points

The central aim is to explore and optimize the costs associated with data acquisition in enterprise AI projects.
Developed a comprehensive economic framework for data acquisition
Analyzed costs across various organizational contexts
Discussed strategies for effective budgeting
Data acquisition can consume 40-80% of total AI project budgets
Identified key factors influencing data acquisition costs
Proposed strategies for cost optimization in enterprises

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.

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Oleh Ivchenko (Thu,) studied this question.

www.synapsesocial.com/papers/699011812ccff479cfe583c0 — DOI: https://doi.org/10.5281/zenodo.18623221

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AI Economics: Data Acquisition Costs and Strategies — The First Economic Gatekeeper of Enterprise AI

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