In 2023, much of the world discovered artificial intelligence through a chatbot. People were fascinated that machines could write essays, create images, summarise documents and answer complex questions within seconds. Yet, while the public conversation focused on what AI tools could do, governments around the world started confronting a fundamental question: what does it take for a nation to truly benefit from AI? The answer was not simply access to better applications. It was the ability to build, adapt, govern and direct AI towards national priorities.
The Shift to Sovereign AI Readiness
This shift reflects the growing importance of sovereign AI readiness. Sovereign AI is not about every country building everything independently; it is about developing the capability to ensure that critical technologies, decisions and opportunities serve local needs. The illusion begins when access is confused with capability. Countries that started their AI journeys with strategies and policies are now moving towards implementation: building computing infrastructure, organising national datasets, attracting investment, creating governance mechanisms and transforming key sectors.
According to Gartner, global AI spending is expected to reach nearly $2.5 trillion in 2026 and exceed $3.3 trillion by 2027, with significant investment directed towards infrastructure such as computing systems and data centres. This reflects an important reality: future AI capability depends not only on visible applications but on the systems built beneath them.
AI's Next Phase: From Generation to Execution
The next phase of AI is changing the rules of the race itself. AI is moving beyond systems that generate information towards systems capable of planning, reasoning and executing complex tasks. Nations that fail to prepare for this shift risk becoming passive consumers of intelligence rather than active builders of future capability.
Countries leading this transformation followed different approaches, but the lesson is similar. Whether through research ecosystems, industrial integration, national computing resources or government-wide AI adoption, successful countries converted strategies into execution systems. This is where Pakistan’s next conversation needs to begin.
Pakistan's Existing AI Efforts
Pakistan is not entering the AI era without preparation. Important efforts are already underway through the National AI Policy, AI Task Force, Pakistan Digital Authority, Uraan Pakistan initiative, Special Technology Zones, National AI Initiative, universities, startups and private sector activity. Institutions such as the National Centre of Artificial Intelligence, which has supported the development of more than 200 indigenous AI applications across different domains, demonstrate that technical capability has also been created.
However, the next phase requires converting these efforts into coordinated national capability. One of the biggest misconceptions of AI readiness is assuming that more initiatives automatically create transformation. In complex ecosystems, the challenge is not always that nothing exists. Often, it is that many things exist without mechanisms that connect them. A research solution may never reach deployment. A startup may develop innovation but struggle to scale. A government department may hold valuable data that remains isolated. Multiple organisations may unknowingly work on similar problems because there is limited visibility across the ecosystem.
Assessing Pakistan's AI Ecosystem
As Pakistan advances further, it needs a comprehensive understanding of its own AI ecosystem. Recent efforts indicate that Pakistan has started moving in this direction. In April 2026, the Ministry of Information Technology and Telecommunication, with support from the ADB, initiated an AI readiness assessment covering areas such as governance, data ecosystem, digital infrastructure, talent and skills. The outcomes of such assessments can provide an important evidence base for future decisions. However, understanding readiness is only the beginning; the real challenge is converting these insights into priorities, investments and implementation pathways.
Data Readiness: A Critical Next Step
The next critical step is data readiness. Artificial intelligence depends on data-driven decisions, and national AI transformation should be no different. Pakistan has decades of valuable information across government, agriculture, healthcare, education and industry, but much of it remains distributed across institutional boundaries. A comprehensive data readiness assessment should identify what data exists, its quality, accessibility and governance requirements. This should form the foundation of a national data strategy that transforms fragmented information into a strategic resource for innovation, policymaking and economic growth.
Infrastructure and Investment
Infrastructure is equally important. Countries are investing heavily in computing resources because the ability to build and deploy AI increasingly depends on access to compute. Pakistan does not need to replicate the scale of larger economies, but strategic investment in shared AI infrastructure or a national AI cluster can provide researchers, startups, government and industry the capacity to develop solutions.
Investment must also move beyond short-term activities. The success of AI spending should not only be measured by how much is allocated, but by what capability remains afterwards, datasets, platforms, infrastructure, research capacity and solutions that others can build upon. Similarly, talent development must be connected with opportunity. Training people is essential, but skills alone cannot create an AI economy without access to data, infrastructure and real-world deployment pathways.
Balancing Innovation with Responsibility
The future also requires balancing innovation with responsibility. Countries that moved early in AI are now facing questions around privacy, misinformation, security and trust. Pakistan has an opportunity to learn from these experiences and develop responsible AI principles alongside adoption.
Ultimately, the success of any AI strategy depends less on the ambition of its documents and more on the effectiveness of its execution. Pakistan does not need to rebuild everything from scratch. The smarter approach is connecting and scaling what already exists. Policy and coordinating institutions can provide direction, while research centres, universities, startups and industry can become engines of implementation.
From Illusion to Real Capability
Pakistan’s AI journey should not now be measured by how many more initiatives can be launched. It should be measured by how effectively existing capabilities can be aligned towards national priorities. The illusion of sovereign AI readiness is believing that access, policies and isolated achievements are enough. They are important starting points, but true readiness requires a system that understands its strengths, recognises its gaps and has the discipline to execute. The countries that succeed in the AI era will not only be those that consume intelligence created elsewhere, but those that build the capacity to shape intelligence around their own future. For Pakistan, recognising this difference early may be the first step towards turning the illusion of readiness into real capability.
Mohd Sadiq – The writer is an AI governance professional and Team Lead at the Center for AI and Digital Policy (CAIDP), Washington DC, USA
