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September 5, 2026Open Access

Pricing Elasticity of AI-as-a-Service: How Cost Structures Shape Enterprise Adoption Curves

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Authors

ОИОлег ИвченкоIIIryna Ivchenko

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Overview

Economic analysis demonstrates how cost structures dictate pricing elasticity in enterprise software adoption, highlighting critical thresholds for scaling artificial intelligence.

Key Points

  • To evaluate how foundational cost structures and pricing elasticity govern enterprise adoption curves for AI-as-a-Service platforms.
  • Examined microeconomic demand elasticity models applied to software-as-a-service and cloud infrastructure purchasing patterns.
  • Modeled organizational adoption thresholds across variable inference pricing, token-based metering, and tiered subscription frameworks.
  • Enterprise demand exhibits significant elasticity when exposure to volatile, un-capped operational compute costs increases.
  • Adoption rates accelerate markedly under predictable fixed-tier pricing relative to purely consumption-based billing models.

Cite This Study

Ивченко et al. (2026) studied this question.

synapsesocial.com/papers/6a9bd4436b95aff0620ebbe6https://doi.org/10.5281/zenodo.22288523
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