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

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

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-07-02
DOI
https://doi.org/10.5281/zenodo.21130530
Primary Topic
Corruption and Economic Development
Type
preprint
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
preprint

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

Mydes Henriques Tandane
Zenodo (CERN European Organization for Nuclear Research)
Corruption and Economic Development
preprint

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

Mydes Henriques Tandane
preprint en

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

Zenodo (CERN European Organization for Nuclear Research)
Decent work and economic growth
Corruption and Economic Development
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

REGULATING WITH SYSTEMIC INTELLIGENTSIA: Algorithmic Sovereignty, NET Risk Governance, and the Political Economy of AI as Sovereign Enabler of GDP Growth — Mydes Henriques Tandane · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS