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July 14, 20260 citationsOpen Access

What determines the cost of sovereign AI? A TCO framework with no sticker price

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MIMicky Irons

Key Points

  • This research aims to identify the primary cost drivers of sovereign AI and how they can be modeled over time.
  • Modeling includes five key drivers: hardware capacity, utilization, operations, model maintenance, and risk avoided.
  • A multi-year horizon is analyzed to explore cost implications of owned capacity versus metered cloud pricing.
  • Cost modeling reveals significant impact of hardware capacity on overall expenses.
  • Utilization rates and operational efficiency are critical in managing total cost of ownership.
  • Risk mitigation measures vary costs considerably, emphasizing preventive strategies.

Abstract

The cost of sovereign AI is set by five drivers you can model: hardware capacity, utilisation, operations, model maintenance and risk avoided. Over a multi-year horizon owned capacity changes the shape of the bill compared with metered cloud tokens, so cost is modelled, not quoted.Originally published at https://mickai.co.uk/articles/what-determines-the-cost-of-sovereign-ai. Mickai is a Sovereign Intelligence Operating System; the Open Audit Record signs every artificial intelligence action before it executes, post-quantum and offline-verifiable. 104 filed UK patent applications, Mickai LTD (Companies House 17166618).

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Cite This Study

Micky Irons (2026) studied this question.

synapsesocial.com/papers/6a55d1475aafca87247f840chttps://doi.org/10.5281/zenodo.21317059
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