Pakistan’s IT exports reached a record 4.6 billion dollars in the last fiscal year. The sector also recorded a trade surplus of 3.9 billion dollars, the highest ever posted by any part of Pakistan’s services economy. Under URAAN Pakistan, the National Economic Transformation Plan 2024 to 2029, the country has set considerably higher ambitions still. The E-Pakistan pillar commits to growing the ICT freelancing industry to 5 billion dollars, raising the output of computer science and IT graduates to 200,000 a year, supporting over 1,000 startups through the National Incubation Centre network, reaching more than 100 million next-generation mobile subscribers with 10 percent on 5G, and achieving at least one Pakistani unicorn, meaning a company valued at a billion dollars.
That last target is worth pausing on. It appears in the national plan precisely because Pakistan has not yet produced a company at that scale. The country has built a large, profitable and fast-growing technology sector without yet producing a globally scaled company that it owns.
Speaking at the Shanghai Cooperation Organisation Digital Economy Forum in Urumqi in September 2026, the Federal Minister for Planning, Development and Special Initiatives, Prof. Ahsan Iqbal, described the direction that follows from those numbers: Pakistan is moving beyond the export of IT services towards technology products, digital platforms and technology-driven industries.
That statement frames the policy question this article addresses. The issue is no longer only how to expand Pakistan’s participation in the global digital economy, which is already happening at speed. It is how to convert more of that participation into products, intellectual property and companies that are built, owned and taxed in Pakistan. This article sets out what the country has already put in place, identifies where the conversion currently breaks, looks at what comparable economies are building, offers an analysis of what follows from the evidence, and proposes three implementation priorities.
What Pakistan Has Already Built
Any honest account of this subject must begin by recognising how much of the institutional architecture now exists. Two years ago, most of it did not.
The Digital Nation Pakistan Act 2025 created the Pakistan Digital Authority as a statutory body to lead and coordinate digital transformation across the public sector, the private sector and civil society, operating as data regulator, citizen experience office and implementing arm of the National Digital Masterplan, a roadmap to 2030 covering infrastructure, workforce, regulation, cybersecurity, digital entrepreneurship and government service delivery.
Underneath that sits the most important piece of public infrastructure Pakistan has built in this area. WASL, the National Data Exchange Layer operated by the Pakistan Digital Authority together with NADRA, is designed so that authorised institutions can retrieve verified information directly from its source rather than asking citizens for the same documents repeatedly. Its published design is deliberately restrained: WASL does not collect or store citizen information, every transaction is logged and auditable, and the platform is built with cryptographic data blindness so that it cannot read the data it routes. The WASL Reference Architecture is published openly as an official standard, alongside the wider Digital Nation Pakistan standards register, which invites domestic and international review of what the country is building.
On AI specifically, the National Artificial Intelligence Policy was approved in July 2025 and remains the operative national framework. Its first pillar establishes a National AI Fund, Centres of Excellence in AI, an Innovation Fund and a Venture Fund, the last of these directed explicitly at the gap in post-seed financing and the scaling of AI startups. The policy further commits to regulatory sandboxes, to providing compute and dataset access to at least one hundred academic institutions, and to engaging Pakistan’s diaspora for both expertise and investment.
In February 2026 the Islamabad AI Declaration on Sovereign, Responsible and Capability-Driven Artificial Intelligence added the governance layer. Its nine foundational principles adopt a use-case-first approach and tie adoption to sovereign infrastructure, trusted governance, human accountability and measurable public value. The Pakistan Digital Authority has been directed to operationalise a national AI Supervisory Framework and to integrate those principles into supervisory frameworks, procurement standards and sector adoption roadmaps. Work continues on the draft National Data Governance Policy 2026, which at the time of writing remains at draft stage on the Ministry of Information Technology and Telecommunication’s policy register following consultation with federal and provincial stakeholders.
Delivery has moved alongside policy. The Pakistan Economic Survey 2025-26 records 34,420 IT and IT enabled services companies registered with the Securities and Exchange Commission of Pakistan by March 2026; more than fifty Software Technology Parks hosting over 350 companies and employing more than 18,000 professionals, of whom 21 per cent are women; more than 1,300 startups operating through the National Incubation Centres; and over 5.14 million training programmes delivered through DigiSkills during July to March. The Ministry of Information Technology and Telecommunication has continued this through AI Seekho 2026, delivered with industry partners and designed so that participants are routed into incubation, startup financing and freelancing pathways rather than finishing with a certificate.
Provincially, Punjab has moved furthest. The Chief Minister, Ms. Maryam Nawaz, has set a target of making Punjab the most AI-enabled province in South Asia by 2029, supported by a dedicated Office of AI, a six-pillar vision, what the provincial government describes as an AI-enabled delivery unit, and a recurring Chief Minister’s AI Stocktake to review implementation. Since health, agriculture, education, land records and policing are provincial subjects, this matters nationally: most AI applications with real economic value will ultimately be deployed by provincial institutions.
Quantum Valley Pakistan: Commercialization as National Policy
The most consequential development for the argument of this article came in September 2026.
The concept was first unveiled by the Ministry of Planning, Development and Special Initiatives as a national innovation ecosystem intended to consolidate two decades of prior investment. As the official announcement records, Prof. Ahsan Iqbal traced the sequence from Vision 2010, through the allocation of 10,000 PhD scholarships to build a critical mass of scientists and researchers, to the establishment of National Centres for AI, Robotics, Big Data and Cybersecurity, and concluded that the time had come to consolidate these efforts into an integrated ecosystem capable of placing Pakistan among globally competitive knowledge economies. Execution was directed as a joint effort involving the Ministry of Planning, the Ministry of Information Technology, the Ministry of Science and Technology, the Ministry of Defence and the National Technology Fund, Ignite. The strategic design framework was developed in collaboration with the St John’s Innovation Centre at the University of Cambridge.
As the Planning Commission has set out, Quantum Valley Pakistan is the delivery vehicle for the Science, Technology and Engineering for Development programme, and its defining feature is where it chooses to intervene: at technology readiness levels three to six. That is the stage at which a laboratory result has been demonstrated but has not yet become a manufacturable or deployable product, and it is where promising work most commonly stalls for want of infrastructure or investment. The programme envisages science parks in agri-tech, biotechnology, advanced materials and strategic minerals, and integrates civilian and defence research to encourage dual-use innovation.
Quantum Valley Pakistan was formally launched in Islamabad on 16 September 2026 with Prof. Ahsan Iqbal as chief guest. Two agreements were signed on the day, the first between the Cambridge Innovation Center and Quantum Valley Pakistan and the second between Plug and Play and Quantum Valley Pakistan, with Tim Rowe, Chief Executive of the Cambridge Innovation Center, Dougan Sherwood, Partner at CIC, and Seena Amidi, Managing Partner at Plug and Play, present in person. The ceremony also inaugurated a Global Venture Acceleration Programme under which selected Pakistani startups receive fifteen weeks of mentorship followed by a two-week immersion in Silicon Valley or Boston. The Ministry described the platform as connecting academia, entrepreneurs, government and investors in order to turn knowledge into solutions, startups into scalable ventures and innovation into national impact, across AI, quantum computing, fintech, agritech, biotechnology, medtech, digital solutions and autonomous technologies.
Two observations follow. First, the initiative did not emerge in isolation: it institutionalises engagements the Minister pursued during his July 2026 visit to the United States, where proposals were gathered from the Pakistani diaspora on reorienting consulates toward technology cooperation, forming advisory groups of Pakistani experts abroad, linking those professionals to national innovation centres, and attracting global technology firms to establish research and development facilities in Pakistan. Second, and more importantly for this article, the Government has now explicitly named commercialization as a national objective rather than treating it as a by-product of research funding. That is a significant shift, and the rest of this article is concerned with what it requires in practice.
Where the Conversion Breaks
Against that record, one gap is visible and it is specific.
Alongside continuing constraints in skills, infrastructure and finance, Pakistan faces a commercialization challenge: the institutions and incentives required to connect research, governed data, buyers, capital and deployment into a repeatable sequence are still developing. A technology becomes a business only when several conditions hold at once. There must be a named problem with a named institutional owner. There must be usable data with a lawful pathway to it. There must be a measurable outcome agreed before work begins. There must be a first customer who pays, because a free pilot teaches a developer nothing about whether a market exists. There must be a lawful route for intellectual property, equipment and the team that built it to leave a public institution together. And there must be growth capital that arrives after the first customer, not only before it.
Pakistan performs well on the early part of that sequence and unevenly on the later part. Formation is not the problem: the Economic Survey records more than 1,300 startups operating through the National Incubation Centres alone. Scaling is harder. Data Darbar, a specialist tracker of Pakistani startup transactions, recorded 22.5 million dollars in disclosed startup equity funding in 2024 and 36.6 million dollars in 2025, well below the levels recorded in the earlier investment cycle. The word disclosed matters, since undisclosed rounds and differing methodologies mean these datasets should be read as indicative of direction rather than as a complete account. The direction is nonetheless clear, and it is one national policy has already identified: the National AI Policy provides for a venture fund precisely because post-seed financing is recognised as a constraint.
URAAN Pakistan’s own diagnosis is equally instructive. The E-Pakistan pillar identifies four constraints: digital infrastructure that is not expanding fast enough for a growing freelance economy; a skills gap in emerging technologies; the absence of a seamless international payment gateway, which restricts financial technology, electronic commerce and online services; and limited electronic government infrastructure and national data backbone. This illustrates a principle worth stating plainly: several of Pakistan’s most promising technology opportunities are already visible inside the operational constraints its own national plan has identified. A constraint that affects millions of users is also a product specification.
What the Rest of the World Is Building
Pakistan is making these decisions in an unusually fast-moving environment. Sovereign AI, meaning nationally controlled capability across models, compute, data and talent, moved in roughly two years from an aspiration to a budget line in most major economies. It is worth understanding what others have chosen to build, and which of those choices are transferable to a country with Pakistan’s resource profile.
In the Gulf, the strategy has been to fund capability directly from sovereign wealth. Saudi Arabia established HUMAIN in 2025 as a state-owned national AI company building across the full stack, anchored by ALLaM, an Arabic-language model whose training and inference run inside Saudi data perimeters so that sensitive government and enterprise data does not leave national jurisdiction. The United Arab Emirates has pursued a parallel path through G42 as its sovereign AI champion, the Technology Innovation Institute’s Falcon model family, and a dedicated graduate university for AI. Qatar has developed Fanar through the Qatar Computing Research Institute. These are serious programmes, and the compute scale behind them is not something Pakistan can or should attempt to match.
The more instructive comparison is Singapore, which chose a different point of entry. Its SEA-LION model family was built not to compete with frontier systems on general capability, but to achieve high fidelity across Southeast Asian languages, a gap global providers had little commercial reason to close. Singapore optimised for governance, trust and regional linguistic depth rather than for raw capacity, and it is regarded internationally as having succeeded on its own terms.
Closer to home, Pakistan can also learn from the wider region. Several neighbouring economies have shown that a country which begins talent-rich and capital-constrained can still build a globally significant technology industry, provided the state supplies the specific inputs that firms cannot secure individually and then steps back. When Software Technology Parks of India was established in 1991, during a foreign exchange crisis, the state did not create a fund. It provided single-window clearance, an export-oriented tax regime and subsidised high-speed data links at a time when private bandwidth was unaffordable, and left the rest to firms. Pakistan already has comparable instruments in the Pakistan Software Export Board regime and Special Technology Zones. The input that firms cannot individually secure today is not bandwidth. It is governed data, shared compute, evaluation environments and a credible first customer.
The pattern across all of these cases is the same. No country succeeded by buying capability alone. Each one decided where in the value chain it intended to own something, and then built the specific instruments required to hold that position. Pakistan has now made the same decision at the level of stated policy. The question is which instruments follow.
Analysis
Four observations follow from the evidence above. They are offered as analysis rather than as government policy.
Targets require baselines
Pakistan’s policy framework is increasingly specific about what should be created: compute capacity, data repositories, centres of excellence, institutional access, training volumes and funding instruments. It is far less specific about what has been created, who can reach it, and what it has produced. The National AI Policy commits to compute and dataset access for at least one hundred academic institutions; there is no published figure showing how many currently have it, or how heavily existing national compute is utilised.
This is not a criticism of ambition. It is an observation about sequence. Commitments become manageable only when a baseline exists against which progress can be read, and in the absence of one, investment decisions are made against assumed rather than measured gaps. Pakistan has strong precedent here: the Economic Survey publishes detailed, comparable sectoral data every year. The same discipline applied to AI capability would be inexpensive and immediately useful.
Use-case first implies a demand mechanism
The Islamabad AI Declaration’s adoption of a use-case-first approach is, in my assessment, the most operationally consequential principle in Pakistan’s AI framework, and the one whose implications are least developed.
If policy begins with use cases rather than with technology, then implementation must begin with an organised supply of real problems. Someone has to collect them, verify that each has an institutional owner, establish that the necessary data can lawfully be reached through WASL, agree what a measurable improvement would look like, and confirm that a route to deployment exists if the work succeeds. Without that mechanism, use-case-first remains a principle rather than a practice, and programmes drift toward technology demonstrations searching for an application afterwards. Punjab’s delivery unit is interesting precisely because a delivery unit generates exactly this kind of standing demand signal as a by-product of its normal work.
Sovereignty is decided at the language and deployment layer
Sovereign AI is often discussed as though it meant competing at the technological frontier. For an economy with Pakistan’s resource profile, that framing is neither affordable nor necessary. As the international comparison above suggests, the more useful question is where sovereignty is actually exercised, and the answer is at two points: the languages a system understands, and the infrastructure on which it runs.
Urdu, Punjabi, Sindhi, Pashto and Balochi speech recognition, text to speech, Nastaliq optical character recognition and translation are not academic projects. They are shared inputs on which a large share of any domestic product depends, and no external provider has sufficient commercial incentive to build them to the standard Pakistan requires. Because no single firm can capture enough of the value to justify the cost alone, this is a textbook case for public infrastructure rather than private provision. It is also the clearest available parallel to what Saudi Arabia did with Arabic and Singapore did with Southeast Asian languages.
The deployment question is equally practical and more urgent. AI tools are already in use across organisations worldwide, frequently through personal accounts and outside institutional oversight, which creates data governance exposure for any body handling sensitive records. Pakistan has anticipated this. The draft National Data Governance Policy 2026 addresses custody, authorised access and accountability for public sector data, and the Islamabad AI Declaration already requires human accountability and institutional oversight in decisions. The commercial implication deserves attention. A government that specifies what a compliant, auditable, Urdu-capable public sector AI system must look like has thereby written a product specification that domestic firms can build against. A government that does not specify it will buy systems designed for another jurisdiction’s requirements.
What a commercialization mechanism would look like
One concept developed during my work at the Ministry of Planning, Development and Special Initiatives was an AI House model designed around this conversion gap. Rather than duplicating existing regulators, incubators, funds or training institutions, the model would connect identified public and industry problems with technical teams, governed data access, first customers and pathways to investment and ownership.
Its policy relevance lies less in the name of any institution than in the function it seeks to perform: creating a repeatable route from problem identification through validated pilot to deployment, revenue and locally retained intellectual property. That function could be performed by more than one institutional arrangement, and identifying the right host is a separate question from establishing that the function is needed. With Quantum Valley Pakistan now operating at technology readiness levels three to six, the natural complement is a mechanism that supplies it with validated demand from Pakistani institutions and a route to a first paying customer at the other end. The proposal remains a proposal and is presented here as such.
Three Implementation Priorities
Each of the following builds on commitments Pakistan has already made rather than proposing new ones, and each costs administration more than capital.
First, measure implementation. Publish and periodically update a national AI implementation baseline covering compute capacity and utilisation, institutional access, priority datasets available for lawful reuse, deployed public sector use cases and progress against existing policy targets. This gives ministries, provinces, universities and firms a common factual basis, and it converts the commitments in the National AI Policy from stated intentions into measurable positions.
Second, create a use-case pipeline. Establish a structured route by which public institutions publish operational problems that carry a named owner, a lawful data pathway, a measurable outcome and a credible deployment route, before any pilot begins. This is the operational expression of the use-case-first principle already adopted in the Islamabad AI Declaration. It also imposes useful discipline: where there is no owner, no data and no metric, there is no pilot, which prevents a national programme from accumulating demonstrations that never reach deployment.
Third, build the pilot-to-scale pathway. A technically successful pilot currently has no assured route to becoming a product. Three elements would change that. Clear intellectual property and spin-out arrangements for publicly funded work, so that a licence, the equipment and the team that built it can move into a company on standard terms. Operational design for the venture fund the National AI Policy already provides for, addressing the post-seed stage the policy itself identifies. And a clearly defined innovation procurement pathway, developed within applicable procurement rules and consistent with competition, transparency and value for money, so that validated pilots can move into deployment rather than ending without a route to a first customer.
These should sit within a federal framework with provincial delivery. The Federal Government sets standards, financing and measurement; provinces adapt execution to their own institutions. Punjab is the obvious first node, and what works there can be documented and transferred rather than rebuilt. Where preparatory study is required before any project is costed, the Planning Commission’s established project preparation instruments provide the appropriate route, so that scope, sponsorship and execution responsibility are settled before expenditure is committed.
Conclusion
Pakistan has spent the past two years laying rails: a statutory digital authority, a national data exchange layer with published open standards, an approved AI policy with financing instruments written into it, a declaration of responsible and sovereign principles, a provincial delivery model in Punjab, and now a national innovation platform in Quantum Valley Pakistan with international partners signed and operating.
Rails carry traffic only if something is built to run on them. The priorities set out above are modest in cost and specific in effect, and most are measurement, standards and decisions rather than budget lines. What they would establish is a habit of asking, at the design stage of every public technology investment, a single question.
When this is finished, what does Pakistan own?
The answer the country should be working toward is a concrete one. Pakistani products rather than Pakistani hours. Intellectual property registered, licensed and taxed at home rather than assigned abroad. Models that understand Urdu and our regional languages because we built them. Public data exchanged on infrastructure the state controls. Companies founded here that grow here. That is what economic sovereignty means in a technology economy, and it is within reach of a country that has already built the rails.
References
- Ministry of Planning, Development & Special Initiatives, URAAN Pakistan: National Economic Transformation Plan 2024-2029 (E-Pakistan targets at page 35).
- Government of Pakistan, E-Pakistan pillar, URAAN Pakistan.
- Finance Division, Pakistan Economic Survey 2025-26, chapter on Information Technology and Telecommunication.
- Radio Pakistan, Pakistan’s IT and ICT exports reach record 4.6 billion dollars, 28 July 2026.
- Government of Pakistan, Digital Nation Pakistan Act 2025, Pakistan Code.
- Pakistan Digital Authority, About the Authority and National Digital Masterplan.
- WASL: Pakistan’s National Data Exchange Layer, operated by the Pakistan Digital Authority and NADRA.
- Pakistan Digital Authority, DNP-D.002 RA: WASL Reference Architecture, and the Digital Nation Pakistan Standards register.
- Ministry of Information Technology and Telecommunication, National Artificial Intelligence Policy (approved July 2025), and announcement of approval.
- Pakistan Digital Authority, Islamabad AI Declaration on Sovereign, Responsible and Capability-Driven Artificial Intelligence, February 2026; Ministry of Information Technology and Telecommunication record.
- Ministry of Information Technology and Telecommunication, policy register (status of the draft National Data Governance Policy 2026).
- Press Information Department, PR No. 257: Pakistan unveils vision for Quantum Valley Pakistan.
- Planning Commission of Pakistan, Pakistan’s Leap into the Quantum Age, Ministry blog.
- Dawn, Quantum Valley Pakistan launched in Islamabad, 16 September 2026.
- Ministry of Planning, Development & Special Initiatives, Press Release No. 76: Federal Minister engages the Pakistani diaspora, Northern California, July 2026; Press Information Department record.
- Associated Press of Pakistan, Pakistan targets tech products and digital platforms to drive export growth, Urumqi, 15 September 2026, and Pakistan calls for stronger SCO cooperation in digital economy and AI, 14 September 2026.
- Radio Pakistan, Punjab Chief Minister sets 2029 target for an AI-enabled province, 15 August 2026.
- Associated Press of Pakistan, Ministry of IT and Telecommunication accelerates national AI initiatives.
- Data Darbar, Pakistan startup transaction datasets (disclosed equity funding, 2024 and 2025). Figures refer to publicly disclosed transactions only.
- Software Technology Parks of India, institutional history and export data.
- Public information published by Saudi Arabia’s HUMAIN and the Saudi Data and Artificial Intelligence Authority; the Technology Innovation Institute, Abu Dhabi; the Qatar Computing Research Institute; and AI Singapore, on their respective national AI and sovereign language model programmes.
- Planning Commission of Pakistan, project preparation proformas and Manual for Development Projects.