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February 14, 20260 citationsOpen Access

The Enterprise AI Landscape — Understanding the Cost-Value Equation

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OIOleh Ivchenko

Key Points

  • The aim is to analyze how organizations can effectively measure and derive value from their AI investments.
  • Analysis of current market structure in enterprise AI
  • Examination of cost categories associated with AI spending
  • Review of value measurement methodologies used by organizations
  • Development of strategic principles for successful AI implementation
  • Identified that 73% of organizations struggle to extract measurable value from AI investments
  • Outlined foundational frameworks for understanding enterprise AI economics
  • Distinguished successful AI implementations from costly failures

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.

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Cite This Study

Oleh Ivchenko (2026) studied this question.

synapsesocial.com/papers/699011a12ccff479cfe5885bhttps://doi.org/10.5281/zenodo.18625628
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1THE ECONOMICS OF ENTERPRISE AI: NAVIGATING THE AI VALUE CHAIN, RETURN ON INVESTMENT, AND STRATEGIC CUSTOMIZATION2026
  2. 2Enterprise AI Risk: The 80-95% Failure Rate Problem — Introduction2026
  3. 3The Cost–Capability Trade-off: Navigating the Financial and Infrastructure Realities of Enterprise Artificial Intelligence2026
  4. 4AI Economics: Total Cost of Ownership Models for Enterprise AI — A Practitioner Framework2026
  5. 5Navigating the AI Frontier: Strategic Adoption, Ethical Governance, and Value Realisation in the Enterprise2026