---
title: "Simple Sovereignty AI Axioms"
author: "Richard St-Pierre"
date: 2025-09-19
category: Opinion
tags: ["ai-sovereignty", "digital-sovereignty", "compute", "energy", "gpu", "national-strategy", "productivity"]
summary: "A compact set of first-principles axioms on AI sovereignty: compute is correlated to energy, only GPUs and large-scale infrastructure count, and compute and data outside sovereign control drive financial outflows. Outside the USA and China the outcome is still undetermined — and a country's position requires immediate, outcome-focused action over subsidies and control."
url: https://richardstpierre.com/articles/simple-sovereignty-ai-axioms
---

# Simple Sovereignty AI Axioms

> **Key finding:** Outside of the USA and China, the outcome is still being determined — and your country's position requires immediate action.

1. AI knows no borders.

2. Investing capital in AI technologies will have the greatest impact on GDP.

3. If you don't allow gigawatt-scale energy supplies to data centers, you are not a contender in the AI race (*compute is correlated to energy*).

4. If your country's data centers are based on CPUs, you are not competitive in the AI race (*only GPUs matter*).

5. If your country lacks access to large-scale data center computing, you are not a contender in the AI race (*only large-scale infrastructures count*).

6. Compute power and data not under sovereign control lead to significant financial outflows.

7. Outside of the USA and China, the outcome is still being determined, and your country's position requires immediate action.

8. Subsidies do not define success; focus must be on market shaping.

9. Financing *means* without focusing on *outcomes* leads to structural failure.

10. To reap the benefits of the value chain, you need to build an orchestration chain, not a chain of control.

11. The current government sovereignty model imposes an "innovation capability tax," further widening the productivity gap.

12. AI must be integrated into legacy system modernization; you cannot wait for a perfect greenfield.

13. AI is still in its early stages.