Pakistan's AI Revolution
A National Blueprint for a Digital Future
Core National Targets
AI Professionals Trained
by 2030
Home-Grown AI Products
Fostering Sovereign Innovation
AI-Driven Public Projects
Enhancing Civic Services
The Six Strategic Pillars
The policy is built on a comprehensive framework of six interconnected pillars designed to create a robust, innovative, and ethical AI ecosystem.
1. AI Innovation Ecosystem
Fostering research, supporting startups, and stimulating venture capital to create a vibrant domestic AI industry.
30% of National R&D Fund allocated to the new National AI Fund (NAIF).
2. Awareness & Readiness
Equipping the nation's talent pool with future-ready skills through widespread training and education initiatives.
Key annual targets for human capital development.
3. Secure AI Ecosystem
Ensuring ethical AI use, robust data protection, and public trust through strong governance and cybersecurity protocols.
- 🛡️ AI-Integrated Security Guidelines
- 🔍 Transparency in Public Sector AI
- 🧪 Regulatory Sandboxes for Innovation
4. Sectoral Transformation
Driving AI adoption across key sectors of the economy to boost productivity, efficiency, and service delivery.
Focus on integrating AI into critical national sectors.
5. AI Infrastructure
Building the foundational computing power and data resources necessary for large-scale AI development.
Megawatts of Surplus Energy
Earmarked for AI Data Centers
6. International Partnerships
Aligning with global standards and fostering collaborations to ensure Pakistan remains at the forefront of AI innovation.
- 🌐 Engagement in Global AI Forums
- 🤝 Bilateral & Multilateral Agreements
- 📈 Alignment with International Standards
Fueling the Knowledge Economy
The policy's human capital strategy aims to create a vast pool of skilled professionals, projecting significant growth in the AI workforce over the next decade.
Projected Economic Impact by 2030
Potential Increase in GDP
Driving National Economic Growth
New Jobs Created
Expanding Opportunities in Tech
✨ AI Sectoral Analysis
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