Collector
Building an AI-ready workforce | Collector
Building an AI-ready workforce
Business Recorder

Building an AI-ready workforce

EDITORIAL: The government’s collaboration with Google on the AI Seekho 2026 initiative signals a rare moment of alignment between policy ambition and the accelerating AI revolution. Launched recently with support from the IT ministry and industry partners, the programme offers young people free access to advanced tools, cloud credits and structured learning pathways, lowering financial barriers that often exclude lower-income youth from high-end tech training. Participants begin with an online phase focused on mastering generative AI and prototyping via Google AI Studio, followed by in-person hackathons in major cities where they will build real-world solutions. AI Seekho’s design, combining online skill-building with competitive, real-world problem-solving reflects a growing recognition that the digital economy is reshaping how work is created, distributed and valued, and how it demands urgent investment in human capital to keep pace with this transformation. That urgency cannot be overstated. Across industries – from finance and marketing to software development – entry-level tasks traditionally assigned to fresh graduates are rapidly being automated by artificial intelligence. The implication is clear: the conventional promise of a four-year college degree as a gateway to stable employment is eroding. In its place, a new skills hierarchy is emerging, defined by AI fluency, data-driven thinking and the ability to collaborate with intelligent systems. Initiatives like AI Seekho 2026 are therefore entirely welcome and increasingly indispensable. Without a deliberate pivot towards advanced technological capabilities, Pakistan risks producing a generation educated for a job market that no longer exists. The problem we face is that such initiatives operate within a structurally constrained ecosystem. Pakistan’s science and technology education still lags behind the demands of a rapidly evolving digital economy, often privileging theoretical instruction over applied, interdisciplinary learning. This gap is exacerbated by a chronic underinvestment in research and innovation, leaving universities and training institutions ill-equipped to produce graduates capable of contributing to advanced technological domains. At the same time, the country’s most capable tech talent continues to exit the domestic market, drawn by higher wages, clearer career paths, more stable economic environments and access to more sophisticated tech and research ecosystems abroad. As a result, even as demand for AI-ready skills rises, the system struggles to retain the talent needed to build and sustain them. These pressures are exacerbated by gaps in infrastructure and policy execution. High-quality broadband access remains uneven, while the absence of high-performance computing resources and AI-focused data centres limits the ability to scale IT services beyond a limited threshold. An overemphasis on regulatory control and digital restrictions further dampens innovation and investor confidence. Although the recent 5G spectrum auction offers some relief on connectivity constraints, the broader investment climate for advanced digital infrastructure remains opaque. Progress on implementing the National AI Policy approved last July has also been slow, with its ambitious targets yet to translate into tangible outcomes. Bridging this structural gap in education, talent retention and infrastructure will be essential for any meaningful workforce transformation. Preparing for the modern digital economy requires moving beyond certification-driven learning, and embedding AI literacy, data thinking and computational problem-solving across disciplines, not just within computer science. Universities and training institutes need closer alignment with industry through live projects, internships and faster curriculum updates, ensuring skills evolve with technological change rather than lag behind it. Equally important is building pathways for continuous learning. In a market where tools evolve in months, not years, reskilling must become routine. This demands scalable online platforms, employer-supported training and public-private partnerships that treat digital skills as an ongoing investment, not a one-time qualification. Without this shift, the gap between education and employability will only widen, and risk turning a young, growing workforce into one increasingly misaligned with the demands of a fast-evolving global jobs market. Copyright Business Recorder, 2026

Go to News Site