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February 20, 2026Open Access

Cloud vs On-Premise Economics for AI: A Structured Cost Framework for Enterprise Decision-Making

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Authors

OIOleh Ivchenko

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Overview

Research explores cost comparisons of cloud and on-premise solutions for AI, highlighting economic impacts for enterprises.

Key Points

  • The paper aims to provide a structured framework for evaluating the economic implications of cloud versus on-premise AI solutions for enterprises.
  • Developed a cost framework for comparison
  • Analyzed economic factors relevant to cloud and on-premise AI systems
  • Explored case studies of enterprise implementations
  • Identified key cost differences between cloud and on-premise solutions
  • Provided insights into long-term financial impacts on enterprises
  • Outlined potential savings and expenditures for decision-makers

Cite This Study

Oleh Ivchenko (2026) studied this question.

synapsesocial.com/papers/6997fa49ad1d9b11b345368chttps://doi.org/10.5281/zenodo.18678386
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Also Consider

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  1. 1Edge AI Economics — When Edge Beats Cloud for Enterprise Inference2026
  2. 2Edge AI Economics — When Edge Beats Cloud and What It Actually Costs2026
  3. 3Pricing Elasticity of AI-as-a-Service: How Cost Structures Shape Enterprise Adoption Curves2026
  4. 4AI Economics: Structural Differences — Traditional vs AI Software2026
  5. 5Edge AI Economics: When Edge Beats Cloud2026