The Future of Development Economics in an AI-Driven World

Transforming Growth, Productivity, and Inclusive Development

Executive Summary

Artificial intelligence has moved from experimental technology to a general-purpose driver of economic transformation, and development economics is being rewritten as a result. Global corporate AI investment reached $252.3 billion in 2024 and, per Stanford's 2026 AI Index, surged to $581.7 billion in 2025 — yet more than three-quarters of that private capital remains concentrated in the United States a
lone. This asymmetry sits atop deeper divides: 2.2 billion people remain offline globally, five-sixths of them in low- and middle-income countries, and only 23% of people in low-income countries use the internet compared with 94% in high-income economies. At the same time, IMF and ILO research shows AI's labour-market exposure is lower in poorer countries (around 26–28% versus 60% in advanced economies) — a "double-edged" finding, since lower exposure also signals weaker readiness to capture AI's productivity dividend. This article examines how development economics is evolving in response: from digital public infrastructure in India and Estonia to AI-enabled health logistics in Rwanda, precision agriculture, and algorithmic public administration. It argues that the decisive variable is not technological access but institutional capability — governance, human capital, data infrastructure, and regulatory maturity. Without deliberate policy design, AI risks entrenching a new hierarchy of nations; with it, AI can become one of the most powerful accelerants of inclusive growth since the Green Revolution. The article closes with concrete recommendations for governments, development banks, the private sector, and universities.

How the Middle East War Is Burning Through Sri Lanka's Fuel Security and Women-Led Enterprises

Oil at $110 and rising. Cooking gas scarce. A country that spent $4.35 billion on fuel imports in 2024 now faces a supply shock it has never structurally prepared for — and the women running Sri Lanka's micro-enterprises will bear the sharpest part of the cost.

In a small room behind a kitchen in Kurunegala, a woman named Priyanka runs a home bakery. She wakes before five in the morning, turns on a gas oven, loads trays with bread and short-eats, and waits for her nephew to load the delivery tuk-tuk that will reach three neighbouring villages by eight. Her entire operation — the oven, the tuk-tuk, the refrigerator that keeps her ingredients fresh — runs on fuel. She does not know the price of Brent crude. She has never heard of the Strait of Hormuz. But when a war broke out across the ocean and oil prices surged past USD 110 per barrel in early March 2026, Priyanka's cost of gas rose by thirty percent in a week. Priyanka is not an outlier. She is the face of an economic reality that Sri Lanka's macro-level discussions on geopolitical risk consistently fail to bring into focus: the two hundred thousand women who run micro and small enterprises in the informal and semi-formal economy are among the most exposed citizens in the country to the fuel shock that a prolonged Middle East war is now transmitting with escalating speed.

The Human Capital Paradox: Analyzing Sri Lanka’s Labour Market Mismatch (2026–2030)

1. Introduction

Sri Lanka’s development narrative is characterized by a profound paradox: high social indicators and a long-standing commitment to free universal education coexisting with persistent labor market inefficiencies and low productivity growth. The Public Investment Programme (PIP) 2026–2030 acknowledges this disconnect, identifying human capital development as a "crucial determinant of economic well-being" while simultaneously documenting systemic failures in labor absorption [3]. Despite significant public expenditure, the economy is currently constrained by a 40% skills gap, stagnant female labor force participation (FLFP) at approximately 33%, and a high rate of graduate unemployment [2] [3]. This analytical article examines the structural roots of this mismatch, applying development economics frameworks—including Human Capital Theory, Signalling Theory, and the Heckman Curve—to assess why human capital accumulation in Sri Lanka has failed to translate into proportional gains in productivity and inclusive growth. 

Spatial Inequality and the Public Investment Programme (2026–2030): A Critical Assessment of Inclusive Growth in Sri Lanka

1. Introduction: Sri Lanka’s economic recovery, while remarkable in its stabilization, faces a profound structural challenge: the persistence of deep-seated spatial and distributional inequalities. The Public Investment Programme (PIP) 2026–2030 is presented as a blueprint for "inclusive and resilient growth," yet the geography of its proposed investments raises critical questions about whether it will bridge the regional divide or further entrench the dominance of the Western Province [3]. Inclusive growth, as defined by the World Bank and the Asian Development Bank (ADB), requires not only an increase in aggregate output but also a reduction in the disparities of opportunity and outcome across different segments of society and geographic regions. This analytical article critically assesses the PIP 2026–2030 through the lens of Spatial Inequality and Regional Convergence Theory, examining whether the planned allocations for infrastructure, education, and regional development are sufficient to dismantle the "urban bias" that has historically characterized Sri Lanka’s development trajectory.

Macroeconomic and Growth Diagnostics Analysis of Sri Lanka: The PIP 2026–2030 Framework

Sri Lanka stands at a critical juncture, having navigated its most severe economic crisis since Independence. The immediate challenge of macroeconomic stabilization has largely been met, but the more profound task of achieving sustained, inclusive, and transformative growth remains. The Public Investment Programme (PIP) 2026–2030, formulated by the Department of National Planning, serves as the government’s primary medium-term policy framework to guide this transition [3]. This analytical article, written for an audience of policymakers, researchers, and development partners, conducts a growth diagnostics analysis of Sri Lanka, using the PIP as the central reference. The analysis moves beyond a mere description of the plan to provide a critical economic diagnosis, evidence-based reasoning, and policy-relevant insights necessary to ensure the PIP successfully addresses the nation’s deep-seated structural impediments to high growth. The central thesis is that while the PIP’s targets are ambitious and its strategic pathways are correctly identified, their successful realization hinges on the political will to dismantle the binding constraints that have historically derailed Sri Lanka’s development trajectory. 

Early Recovery Is Not Optional: Why Sri Lanka Must Act Now After Cyclone Ditwah

The global discourse on disaster response has long recognized a critical transition point: the moment when the immediate, life-saving efforts of humanitarian relief must pivot to the strategic, long-term investments of early recovery. For Sri Lanka, in the wake of Cyclone Ditwah, this transition is not merely a bureaucratic step; it is a non-negotiable imperative for preventing a temporary crisis from becoming a protracted development disaster. The UN Situation Report No. 05, while documenting significant initial humanitarian success, simultaneously exposes a dangerous structural failure: the severe underfunding of early recovery, which is actively stalling the nation’s return to normalcy and resilience [1]. 

Schools as Shelters, Children as Victims: Education Losses After Cyclone Ditwah

The immediate aftermath of a natural disaster rightly focuses on saving lives and providing basic necessities. However, as the crisis transitions from emergency to recovery, the long-term damage to a nation’s human capital—specifically its children—often remains underreported and under-resourced. The experience of Cyclone Ditwah reveals a critical failure to safeguard the education and psychosocial well-being of the affected youth, a failure that risks creating a generation of victims long after the floodwaters have receded. The UN Situation Report No. 05 provides a stark, data-driven look at the profound and complex losses in the education sector [1].