In a rare moment of national alignment on a long-term vision, the federal cabinet of Pakistan approved the first national artificial intelligence policy. This comprehensive, future-looking blueprint aims to position the country as a digitally sovereign nation in the global AI ecosystem.
The global AI market is expected to donate $15.7 trillion to GDP by 2030, and the timing was not more consequential as it restructures industry and society. For Pakistan, a country with a youthful population, digital potential and developmental gaps, artificial intelligence is more than just a technical imperative. It is economic, governance, and social needs.
The policy ambitions are impressive. The recruitment of AI forecasts that by 2030, it could increase Pakistan's GDP by 7-12%, creating 3.5 million jobs. Its structured approach revolves around six policy pillars: the innovation ecosystem, human capital reserve, AI security, sector transformation, infrastructure development and international collaboration. Each pillar is supported by dedicated funding, capacity building initiatives, regulatory frameworks, and outcome-based goals.
From the beginning, strategies are bold in visuals and broad scope. The National AI Fund (NAIF) will fund research and commercialization with 30% of Ignite's R&D funds being allocated to AI development. The Center for Exceptional Artificial Intelligence (COE-AI) will be located in seven cities to promote localized innovation and collaboration between industrial assademia. The national skills program trains 200,000 individuals each year, offers 3,000 scholarships, ensuring inclusion for women and people with disabilities. By 2027, the government plans to achieve end-to-end AI deployments across its own ministries and departments.
Still, the boldness of the document coincides with the complexity of its execution, and there is the biggest challenge of policy.
One of the most pressing concerns is the fragmented institutional ecosystem that hinders long-term national planning in Pakistan. This policy outlines a multi-stakeholder approach, but lacks legal and operational clarity to define how ministries, regulatory authorities, states, academia, and the private sector coordinate at scale. The creation of an independent AI authority backed by the law's effectiveness could provide much-needed continuity, accountability, and interdisciplinary alignment.
Similarly, fundraising plans exist, but the fundraising model is undeveloped. Relying solely on IGNITE allocation is insufficient to build competitive AI capabilities, primarily when global rivals invest billions in computing infrastructure, talent and sovereign AI models. A blended finance strategy that combines public allocation, venture capital and diaspora-assisted equipment with development finance must be established immediately. AI-focused startup tax incentives and industry recruitment credits could catalyze broader private sector participation.
Perhaps the most important and undecided dimension is data governance. Pakistan currently lacks national data protection laws, and its fragmented data architecture makes it both complex and risky, with the construction of large-scale AI models. This policy is directed at creating centralized repositories and localized large-scale language models (LLMs), but without strict data localization, privacy protection and clear data sharing protocols, Pakistan will continue to rely on foreign platforms. Pakistan's data governance laws in line with global standards, such as the EU's GDPR, are expired and essential.
For its credibility, this policy creates space for AI ethics and regulatory frameworks, particularly with regard to generative AI, cybersecurity and misinformation. It proposes sandboxes for regulatory testing, transparency of AI systems through public registry, and monitoring of high-risk applications. However, these frameworks are only as strong as their institutional support. The Pakistan AI Ethics Council, independent of the state, should be formed to develop ethical standards, issue public audits, and advise on human rights and impact on human freedom.
Critically, this policy must face an increasing threat to Pakistan's creative economy and public discourse brought about by unregulated generation AI. Pakistan's intellectual property (IP) law remains outdated and unprepared for the challenges posed by AI-generated content. Without emergency upgrades, creators risk exploitation and the institution has no authority to attribution or copyright.
This policy requires IP organizations to recognize AI-generated works, define ownership structures, and explore generative watermarks. This becomes particularly urgent in election cycles where manipulated audiovisual content can hijack narratives and destabilize democratic institutions. Pakistan's election commission and media watchdog must be empowered to implement watermark standards and have the need to establish a national AI content governance policy to responsibly regulate synthetic media.
Fairness and decentralization are also important concerns. Although this policy acknowledges the need for inclusivity, historically federal technological policies have supported urban areas such as Islamabad and Karachi. AI strategies must be localized, with each region developing its own roadmap under a broader national framework. Grassroots AI projects, such as using computer vision for water management in Balochistan and using NLP tools to preserve endangered species in Gilgit-Baltistan, can bridge the digital division and ground the AI revolution to local relevance.
Another blind spot is policy literacy. As AI transforms governance, health, education and justice, judiciary, lawmakers and regulators must be trained in that sense. It is not a luxury to include AI law and ethics in legal education, the academy of justice and bureaucratic training. It's a safeguard. Policymakers who regulate technology without understanding it cannot predict its failure or maximize its potential.
Finally, monitoring and evaluation require sharper tools. The policy outlines KPIs, including 1 million AI-skilled workers and 400 patented products by 2030, but past performances on technology implementation suggest that progress reports are often disappearing into bureaucratic ether. An AI Policy Monitoring Dashboard, open to the public, needs to track not only numbers, but equity, gender, geography and public impacts, and put the system accountable to citizens.
To be fair, this is the first generation policy of a new digital state. It doesn't have to be perfect. It must be adaptable, enforceable and nationally owned. The biggest mistake Pakistan can make is treating this policy as a public relations document rather than as a living framework that requires constant repetition. Technology is evolving rapidly. Policy needs to evolve faster.
Pakistani AI moments arrived by inevitably, not by chance. As the world becomes algorithmically governed, countries that cannot define the risk of AI futures will become digital colonies, import models that cannot be understood, and import data systems that cannot be controlled. This policy can allow Pakistan to construct indigenous intelligence that is not only artificial, but also strategic, ethical and inclusive, when brave and competent.
But the time is short. AI races reward early initiators rather than slow recruits. Pakistan now has to prove that it can not only write policy, but also provide it.
The writer is a public policy expert and leads the Institute of Country Partners at Pakistan's World Economic Forum. He tweets/posts @amirjahangir and can access aj@mishal.com.pk
