A Digital Strategy for Inclusive Growth
The World Bank Group recently launched its first comprehensive digital strategy, placing AI at the heart of its development agenda. The core idea is that for emerging economies to harness AI's potential for job creation and improved public services, they
cannot simply import off-the-shelf technology. Instead, they need a foundational strategy that brings together public and private sector capabilities. This push is driven by a pressing employment challenge, with an estimated 1.2 billion young people in developing countries set to enter the workforce over the next 10 to 15 years, while projections show only 420 million jobs being created. The Bank's strategy focuses on practical applications, particularly what it calls 'small AI'—tools adapted for specific, local contexts, like helping a farmer diagnose crop disease via a mobile phone or assisting a community health worker.
The Government's Role: Building the Foundation
Under this collaborative model, governments are tasked with creating the essential bedrock for an AI ecosystem to flourish. This isn't about building massive, frontier AI models, but about getting the fundamentals right. The World Bank identifies four key priorities for the public sector: expanding reliable and affordable internet connectivity, making digital devices more accessible, strengthening digital public infrastructure like payment and ID systems, and heavily investing in digital skills and literacy for the population. Without basics like consistent electricity and internet access, AI remains a distant dream; for instance, many rural schools in developing regions still lack these prerequisites. Furthermore, governments must establish clear legal and regulatory frameworks that encourage innovation while protecting citizens' data privacy and ensuring cybersecurity, building trust in the technology.
The Private Sector's Role: The Engine of Innovation
If governments build the foundation, the private sector is expected to be the engine that drives AI innovation, investment, and implementation. Private companies, from startups to established tech firms, are crucial for developing and scaling new business models and delivering services that can reach underserved populations. The World Bank’s new strategy explicitly involves partnering with industry players. For example, its AI Infrastructure and Readiness Initiative is collaborating with companies like NVIDIA and Cassava Technologies to provide shared, pay-as-you-go access to the specialised computing power (GPUs) needed for AI development. This approach helps emerging economies overcome the prohibitive cost of building their own large-scale data centres. The private sector is also key in making hardware more affordable, working with financial institutions to lower the cost of smartphones and broadband services.
India's Head Start in Collaboration
The model championed by the World Bank is already taking shape in India. The IndiaAI Mission, approved with a budget of over ₹10,300 crore, is structured around a public-private partnership (PPP) model to build a robust national AI ecosystem. A central pillar of this mission is the IndiaAI Compute Capacity program, which aims to deploy over 10,000 GPUs through strategic collaborations, making high-end computing accessible to researchers, startups, and academia. This mirrors the World Bank's global push for shared infrastructure. The mission also includes initiatives for developing indigenous AI models, creating high-quality datasets, and upskilling the workforce through labs in Tier 2 and Tier 3 cities, demonstrating a comprehensive approach that aligns perfectly with the Bank's strategic priorities.
Navigating the Inevitable Risks
While the collaborative push holds immense promise, it is not without risks. The World Bank and IMF acknowledge that AI could widen gaps between countries, concentrate market power in a few large firms, and eliminate or augment up to 40% of jobs globally over time, with young people entering the labour market being particularly vulnerable. In this context, the partnership model becomes a tool for risk mitigation. By involving the government, there is a mechanism to establish ethical guidelines, ensure AI is deployed responsibly, and create social safety nets for workforce transitions. For private companies, collaborating with the public sector provides regulatory clarity and access to markets. The goal is to ensure that AI adoption leads to inclusive growth and boosts worker productivity rather than simply replacing jobs, a balance that requires constant and deliberate action from both sides.
