National‑security concerns yield three contrasting AI regimes: the EU enforces rights‑forward, risk‑based rules; Algeria pursues capacity and independence; Pakistan prioritizes economic governance while leaving military AI largely opaque. These regulatory gaps threaten market fragmentation, complicate export controls and procurement transparency, and heighten dual‑use risks.

Main Finding

The paper finds that national security-driven AI regulation varies substantially across jurisdictions: the EU has developed a detailed, rights-protective regulatory framework that includes procedural safeguards and explicit risk prohibitions; Algeria’s approach centers on capacity building and technological independence; and Pakistan prioritizes economic and digital governance with comparatively weak governance of military AI. Despite some convergences (concern for dual-use risks, use of export controls, and nascent institutional designs), differences in institutional capacity, civil–military interfaces, and normative priorities shape divergent regulatory outcomes. The authors argue that aligning domestic rules with international risk‑mitigation norms, increasing transparency in defence procurement/AI operations, and strengthening multilateral confidence measures would reduce escalation and abuse.

Key Points

• Comparative focus: European Union vs Algeria vs Pakistan on AI regulation through a national‑security lens.
• EU: detailed, formalized legal framework emphasizing procedural protections, risk-based prohibitions, and civilian rights safeguards.
• Algeria: strategy emphasizes building institutional capacity and technological independence as central security priorities.
• Pakistan: policy foregrounds economic and digital governance objectives; governance of military AI is weak and underdeveloped.
• Common policy tools examined: governance structures, civil–military interfaces, export controls, and normative limits on military/dual‑use applications.
• Convergences: recognition of dual‑use risks and the need for governance; growing use of export‑control instruments; interest in domestic capacity.
• Divergences: depth and formality of legal frameworks, institutional maturity, trade‑offs between security imperatives and rights protection, level of transparency in defence acquisition and operations.
• Policy prescriptions: harmonize domestic regulation with international mitigation norms, increase transparency in defence procurement and AI operations, and advance multilateral confidence‑building measures.

Data & Methods

• Methods: qualitative document analysis, comparative case‑based literature review, and policy commentary.
• Sources: national and supranational legal texts and strategies (EU regulatory acts/strategies, Algeria’s national AI/security documents, Pakistan’s economic/digital governance plans), export‑control policies, and secondary literature on civil–military relations and AI governance.
• Comparative approach: cross‑jurisdictional synthesis to identify convergences and divergences in legal design, institutional capacity, and normative trade‑offs.
• Limitations (implied): descriptive and comparative rather than quantitative; reliant on available policy documents and literature rather than original field interviews or measured outcomes.

Implications for AI Economics

• Market signal heterogeneity: Divergent regulatory regimes increase compliance uncertainty for firms and may fragment markets for dual‑use and defence‑adjacent AI goods/services.
• Investment and industrial policy: Algeria’s emphasis on capacity and technological independence suggests inward‑looking industrial policy and potential state support for domestic AI firms; EU’s stringent rules may raise compliance costs but can create trustworthy‑AI market advantages; Pakistan’s weaker military governance may lower immediate compliance burdens but raise reputational and export risks.
• Trade and export controls: Progressive use of export controls and differing normative stances on dual‑use tech can disrupt supply chains, affect comparative advantage, and raise costs for multinational suppliers and downstream users.
• Civil–military spillovers: Weak or opaque civil–military interfaces (as in Pakistan) can create hidden demand for capabilities, skew R&D incentives toward secrecy, and reduce competition/efficiency in civilian markets.
• International cooperation and risk mitigation: Harmonized norms and transparency measures reduce transaction costs, limit market fragmentation, and lower the likelihood of destabilizing arms‑race dynamics—improving the environment for cross‑border investment and trade in AI.
• Policy choice trade‑offs: Stricter regulation (EU model) protects rights and can build trust but may slow deployment and raise costs; capacity‑focused strategies (Algeria) can foster domestic industry but risk protectionism; under‑regulated environments (Pakistan) may encourage rapid adoption but increase legal and reputational risks for firms.
• Recommendations for economists and policymakers: assess regulatory compliance costs across jurisdictions, quantify the effects of export controls on supply chains, model how transparency and confidence‑building reduce market uncertainty, and evaluate targeted support to align domestic capacity building with open international markets.