Algorithmic Power and Climate Diplomacy: Assessing the Implications of Artificial Intelligence for Pakistan in Global Climate Governance

Abstract

This study examines the implications of artificial intelligence (AI) for Pakistan’s role in global climate governance by introducing the concept of “algorithmic power.” Traditional climate diplomacy relies on economic size, technical expertise, and alliance networks, yet overlooks how data infrastructure and AI tools reshape negotiation leverage. We propose a framework comprising three dimensions Data Capacity, Analytical Capacity, and Diplomatic Capacity operationalized through three composite indices: Algorithmic Readiness Index (ARI), Diplomatic Leverage Ratio (DLR), and Algorithmic Influence Score (AIS). Using hypothetical scores calibrated against regional benchmarks, Pakistan’s ARI is estimated at 0.40, indicating limited algorithmic readiness, while its DLR of 1.25 suggests relatively effective conversion of this readiness into diplomatic influence. However, the overall AIS of 0.50 reveals modest aggregate influence, underscoring structural constraints in data and analytical capacities. Qualitative analysis of Pakistan’s climate policy documents and UNFCCC submissions shows limited explicit reference to AI, reliance on traditional indicators, and emerging but underdeveloped awareness of digital tools. The findings highlight that while diplomatic initiative and coalition-building can partially offset algorithmic weaknesses, long-term influence in an increasingly data-driven climate regime requires targeted investments in climate data systems, AI literacy, modelling institutions, and equitable international digital cooperation.

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