AI Development Risks Leaving Low-Income Countries Further Behind
Artificial intelligence promises transformative benefits, but experts warn that many low- and middle-income countries lack the systems needed to use it effectively. Limited infrastructure, weak institutions, and inadequate statistical capacity may cause AI to deepen existing global inequalities.
Researchers note that countries in the Global South enter the digital era from vastly different starting points, creating uneven opportunities for progress.
Data Gaps and Infrastructure Shortfalls Undermine Digital Transformation
AI relies on accurate, timely and comprehensive data, yet many countries still struggle with foundational statistics. Weak connectivity, insufficient data centers and shortages of trained personnel further limit the adoption of digital tools.
Experts argue that digital transformation must begin with investments in basic statistical systems to ensure that technology supports effective policymaking.
Divide Widens Within the Global South as Some Countries Advance Faster
While some developing countries are becoming digital leaders, others remain far behind. Nations like Rwanda, Kenya and the Philippines are rapidly modernizing, while others lack essential records on population, births or household conditions.
This divergence, experts warn, threatens to create a multi-speed digital world in which weaker nations fall increasingly behind.
Funding Constraints and Donor Strategies May Exacerbate Inequality
Shrinking aid budgets and donor preferences for quick, measurable results risk leaving fragile states without long-term support. Misaligned funding—for example, investing in gender equality but not gender data—can weaken program outcomes.
Experts urge governments to invest more domestic resources in statistical systems while encouraging donors to coordinate data-focused funding.
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Local Context Determines Whether Digital Tools Improve Climate Resilience
Digital tools can strengthen climate adaptation, but only when tailored to local needs. Mobile weather alerts, climate information services and digital advisory systems can support vulnerable communities.
Researchers caution, however, that literacy barriers, access limitations and cultural differences must be considered to ensure these solutions actually help the intended populations.
Behavioural Responses Shape the Real Impact of Digital Innovation
Experts emphasize that digital tools do not operate in isolation. Their real impact depends on how people use them and how they influence long-term decision-making.
Because behavioural responses are complex and context-dependent, researchers stress the need for careful evaluation and evidence-based deployment of digital innovations.
Building Strong Data Systems Is Key to Equitable Digital Transformation
Experts agree that AI can support inclusive development only if countries strengthen their statistical foundations, governance practices and institutional capacity. Without these pillars, digital tools may intensify inequality rather than reduce it.
The path forward, they argue, requires aligning digital innovation with local realities and ensuring that the poorest nations are not excluded from the benefits of AI.
