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Pakistan’s AI checklist
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Pakistan’s AI checklist

Dawn News · Jun 12, 2026, 4:11 AM

Why this matters: local context for readers following news across Pakistan and the region.

OLD science fiction had a simple trick. When something had to sound impossibly advanced, writers added the word ‘quantum’ to it. Quantum engine. Quantum lock. Quantum field. Nobody knew exactly what it meant, but everyone understood that the future had arrived. Artificial intelligence now performs a similar function in policy language. Add AI as a prefix to any ordinary state reform, and it sounds futuristic. In reality, AI is not some glamour to be sprinkled over systems, and it is most definitely not just a chatbot. If Pakistan is serious about building an AI future, we must begin with two fundamental questions: what exactly do we want AI to do, and what will power it? Pakistan’s AI policy effectively answers the first question. It imagines a future in which AI contributes to governance, industry, public services, education, health and national productivity, and this ambition is important. However, the answer to the second question remains vague because Pakistan’s AI conversation still treats the technology too often as an application, a chatbot, a pilot project, rather than as a question of national infrastructure. If AI is to be embedded into governance, we cannot rely entirely on foreign models. When we say Pakistan needs to develop its AI ecosystem, we should not imagine this as merely building a Pakistani chatbot that speaks our languages. A serious AI ecosystem means the ability to power, host, adapt, audit and govern AI systems across public services, research, industry and everyday life. It also means knowing where our data lives, whose machines process it, who can inspect the systems that shape public decisions and what rights citizens retain when their lives become raw material for digital systems. This is precisely why AI cannot be designed as one large centralised project. It will appear through departments, in hospitals, schools, courts, revenue offices, agriculture programmes and law enforcement agencies. Each will have its own data, risks and accoun

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