Exposing Pakistan’s Incapability to implement AI Governance

The Government of Pakistan has recently announced ambitious plans to integrate Artificial Intelligence (AI) into public administration. From the Prime Minister’s Office System (PMOS), which promises real-time digital oversight of ministries, to a sovereign GPT-powered research assistant for government officers and an AI-led tax engagement model aimed at reducing human interaction, the vision reflects the government’s desire to modernize governance. While these initiatives are encouraging, they also expose a much deeper reality: Pakistan currently lacks the institutional, technological, legal, and infrastructural capacity to successfully implement a comprehensive AI-governance model across its administrative ecosystem.

AI Governance & Challenges of Implementation:

Artificial Intelligence is indeed rapidly transforming economies, governments, and societies around the world. Countries are introducing AI governance frameworks to ensure that AI systems remain transparent, ethical, secure, and accountable. Despite, Pakistan has shown growing interest in AI through policy initiatives and digital transformation programs, implementing a comprehensive AI governance model remains an unattainable task.

•  Misconception: The first and most fundamental challenge is that Pakistan continues to perceive AI primarily as a software application or chatbot rather than as a national digital infrastructure. AI governance is not simply about deploying GPT-based assistants or automating government correspondence. It requires an ecosystem comprising secure data infrastructure, high-performance computing resources, robust cybersecurity, ethical oversight, legal safeguards, and continuous regulatory monitoring. Without these foundational elements, AI adoption risks becoming little more than a collection of isolated pilot projects.

• Foreign Reliance: One of Pakistan’s greatest weaknesses is its overwhelming dependence on foreign AI technologies. Most advanced AI models, cloud platforms, graphics processing units (GPUs), and data centers are owned by multinational technology companies based in the United States, Europe, or China. If critical government functions begin relying entirely on foreign AI services, Pakistan could lose control over data security, operational costs, system availability, and strategic autonomy. Sensitive public-sector information—including taxation, law enforcement, health, and national security—should not depend exclusively on foreign infrastructure that operates under foreign jurisdictions and regulations.

• Digital Infrastructure: Another major obstacle is Pakistan’s inadequate digital infrastructure. AI systems demand uninterrupted electricity, high-speed fiber-optic connectivity, modern data centers, advanced cooling systems, and reliable cloud computing facilities. Unfortunately, Pakistan continues to struggle with electricity shortages, inconsistent internet connectivity, and a limited number of Tier III and Tier IV data centers capable of supporting large-scale AI workloads. Without substantial investment in digital infrastructure, nationwide AI governance cannot function reliably.

• Fragile Database: Data governance presents another serious deficiency. AI systems are only as effective as the quality of the data on which they are trained. Pakistan still lacks standardized, digitized, interoperable, and high-quality government databases. Ministries often maintain fragmented records that cannot easily communicate with one another. Large volumes of administrative information remain paper-based or poorly digitized. Moreover, the country has yet to establish a fully implemented personal data protection regime that governs how citizens’ information is collected, processed, stored, shared, and deleted. Deploying AI without robust data governance increases the risk of biased decisions, privacy violations, and misuse of personal information.

• Insufficient Regulations: Institutional capacity also remains weak. Effective AI governance requires regulators, policymakers, legal experts, auditors, cybersecurity specialists, and AI engineers working together under a unified framework. Pakistan currently lacks sufficient expertise in AI ethics, algorithmic auditing, explainable AI, and regulatory compliance. Government officers may use AI-powered assistants, but there are few mechanisms to independently verify whether AI-generated recommendations are accurate, unbiased, transparent, or legally compliant.

• Legal Framework: The absence of a comprehensive AI governance law further undermines implementation. Existing legislation such as cybercrime laws and IT regulations was not designed to address issues like algorithmic accountability, automated decision-making, AI liability, deepfakes, or AI-generated misinformation. Without a dedicated legal framework, public institutions have little guidance on the responsible deployment of AI technologies.

• Sovereign AI Capacity: Pakistan also lacks sovereign AI capacity. Developing sovereign AI requires domestic computing infrastructure, locally hosted data centers, indigenous AI models, and locally relevant datasets. Instead of focusing solely on adopting foreign AI applications, Pakistan must invest in research universities, GPU clusters, AI laboratories, and public-private partnerships capable of building models tailored to local languages, legal systems, healthcare, agriculture, education, and judicial requirements. Without locally generated data and domestic computing power, AI systems will continue to reflect foreign priorities rather than Pakistan’s socioeconomic realities.

• Cybersecurity: Cybersecurity poses another significant concern. AI-powered governance systems will inevitably become attractive targets for cyberattacks, data theft, and malicious manipulation. Pakistan’s cybersecurity preparedness remains uneven across government institutions, making the deployment of interconnected AI systems particularly risky without stronger digital resilience.

• National Ecosystem: Finally, AI governance cannot succeed without public trust. Citizens must have confidence that automated systems are fair, transparent, and subject to human oversight. Independent auditing mechanisms, algorithmic transparency standards, and clear avenues for appeal against AI-assisted administrative decisions are essential components that Pakistan has yet to establish. True AI governance demands not merely the adoption of intelligent software, but the creation of a resilient national ecosystem capable of supporting, governing, auditing, and sustaining AI in the public interest.

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Editorial, Infocus.pk