What question did this study set out to answer?

This paper aims to analyze the interaction between algorithmic sovereignty and economic growth in emerging economies, challenging the false binary framing of these concepts.

July 4, 2026Open Access

REGULATING WITH SYSTEMIC INTELLIGENTSIA: Algorithmic Sovereignty, NET Risk Governance, and the Political Economy of AI as Sovereign Enabler of GDP Growth

Key Points

This paper aims to analyze the interaction between algorithmic sovereignty and economic growth in emerging economies, challenging the false binary framing of these concepts.
Conducted a systematic gap analysis of fourteen Mozambican regulatory instruments across six domains.
Applied the Sovereign Enablement Framework to compare regulatory approaches in five Global South jurisdictions: South Africa, Rwanda, India, Brazil, and Kenya.
Developed recommendations for multi-institutional architectural improvements in Mozambican governance.
Identified the Output-Mechanism Gap as a structural issue in AI regulation that focuses on outputs without addressing production methods.
Provided tailored recommendations for entities like Banco de Moçambique and CMVM based on the findings.
Demonstrated that AI governance is crucial for sustainable economic enablement and protects epistemic sovereignty.

Abstract

Abstract The governance of artificial intelligence in emerging economies is routinely framed as a choice between sovereign protection and economic growth. This paper rejects that framing as a false binary and proposes instead that algorithmic sovereignty and economic enablement are co-conditions of sustainable AI-driven development. The central thesis is expressed through an original accounting metaphor that carries precise analytical weight: a country that adopts AI without calculating the Cost of Technological Sovereignty is practising creative accounting in its national balance sheet. Drawing on five interconnected theoretical pillars — Algorithmic Sovereignty and Cognitive Colonization (Tandane, 2025); Structural Systemic Intelligence (Tandane, 2026f); Ubuntu as operational governance philosophy; the NET Risk Balancete (expanded to five dimensions); and the Political Economy of AI — the paper develops the Sovereign Enablement Framework (SEF): a four-axis architecture for governing AI that protects epistemic sovereignty while maximising GDP-contributing innovation. The paper conducts an expanded systematic gap analysis of fourteen Mozambican regulatory instruments across six domains, revealing a structural pattern named here as the Output-Mechanism Gap: the consistent regulation of what AI must produce without any governance of how it produces it. A comparative analysis of five Global South jurisdictions — South Africa, Rwanda, India, Brazil, and Kenya — interrogates each through the SEF lens. Differentiated recommendations address the multi-institutional architecture required across the Banco de Moçambique, CMVM, INTIC, BVM, GIFiM, and APCE. A complete Glossary defines all original, technical, and Mozambican legal terms used throughout. Keywords: algorithmic sovereignty | cognitive colonization | Structural Systemic Intelligence | NET Risk Balancete | Cost of Technological Sovereignty | Sovereign Algorithm Doctrine | Output-Mechanism Gap | political economy of AI | Sovereign Enablement Framework | Ubuntu governance | fabricated procrastination | Mozambique | Global South

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