The Enterprise AI Landscape — Understanding the Cost-Value Equation

Enterprise AI spending reached $154 billion globally in 2025, yet 73% of organizations report difficulty extracting measurable business value from their AI investments. This article establishes the foundational framework for understanding enterprise AI economics, examining the current market structure, cost categories, value measurement methodologies, and the strategic principles that separate successful implementations from expensive failures. Part of the Cost-Effective Enterprise AI 40-article research series.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-02-12
DOI
https://doi.org/10.5281/zenodo.18625627
Primary Topic
Ethics and Social Impacts of AI
Type
article
Field-Weighted Citation Impact
0.00
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article

The Enterprise AI Landscape — Understanding the Cost-Value Equation

Oleh Ivchenko
Zenodo (CERN European Organization for Nuclear Research)
Ethics and Social Impacts of AI
article

The Enterprise AI Landscape — Understanding the Cost-Value Equation

Oleh Ivchenko
article en

Abstract

Enterprise AI spending reached $154 billion globally in 2025, yet 73% of organizations report difficulty extracting measurable business value from their AI investments. This article establishes the foundational framework for understanding enterprise AI economics, examining the current market structure, cost categories, value measurement methodologies, and the strategic principles that separate successful implementations from expensive failures. Part of the Cost-Effective Enterprise AI 40-article research series.

Zenodo (CERN European Organization for Nuclear Research)
Odessa National Polytechnic University (UA)
Openalex Percentile: Top 60%
Ethics and Social Impacts of AI
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