The Case for an Industrial Policy Approach to AI Sector of Pakistan for Growth and Autonomy
Atif Hussain, Rana Rizwan

TL;DR
This paper advocates for an industrial policy approach to develop Pakistan's AI sector, emphasizing strategic government interventions to foster local innovation, reduce reliance on foreign technologies, and align AI growth with national economic and security goals.
Contribution
It conceptualizes AI as a layered ecosystem and proposes a comprehensive industrial policy framework tailored for Pakistan's unique economic and security context.
Findings
Pakistan's AI sector is mainly service-oriented with limited product innovation.
Dependence on foreign AI technologies risks economic independence and security.
Strategic interventions can foster local AI development and autonomy.
Abstract
This paper argues for the strategic treatment of artificial intelligence as a key industry within broader industrial policy framework of Pakistan, underscoring the importance of aligning it with national goals such as economic resilience and preservation of autonomy. The paper starts with defining industrial policy as a set of targeted government interventions to shape specific sectors for strategic outcomes and argues for its application to AI in Pakistan due to its huge potential, the risks of unregulated adoption, and prevailing market inefficiencies. The paper conceptualizes AI as a layered ecosystem, comprising foundational infrastructure, core computing, development platforms, and service and product layers, supported by education, government policy, and research and development. The analysis highlights that AI sector of Pakistan is predominantly service oriented, with limited…
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Taxonomy
TopicsEconomic and Technological Innovation · Economic Growth and Productivity · Asian Industrial and Economic Development
