AI Boom Could Widen Wealth Gap Between Rich and Poor Nations
A new Ayre Think Tank study warns AI's economic gains may deepen global inequality, projecting a $360 billion disparity between wealthy and developing nations.
Artificial intelligence poses a mounting risk of widening the economic divide between wealthy and developing nations, according to a major new study released by the Ayre Think Tank. The research, published November 5 from St. John's, Antigua and Barbuda, calculates a potential $360 billion gap in projected economic gains tied to AI adoption across different income groups of countries.
The study underscores a growing concern among economists and policymakers that the benefits of AI technology are not distributed evenly across the global economy. Wealthier nations, with greater access to computing infrastructure, technical talent, and investment capital, are positioned to capture a disproportionate share of AI-driven productivity gains, while lower-income countries risk falling further behind.
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The $360 billion figure represents the projected divergence in economic value that could accumulate between high-income and lower-income nations as AI deployment accelerates. The think tank's findings add analytical weight to longstanding warnings from development organizations that technological revolutions can entrench, rather than reduce, global inequality when access and capacity remain unequal.
The research arrives at a moment when governments and international institutions are actively debating how to govern AI and ensure its benefits reach beyond the world's most advanced economies. The Ayre Think Tank study is expected to contribute to that policy conversation, particularly in emerging economies and small island developing states like Antigua and Barbuda, where the stakes of falling behind in AI adoption are especially acute.
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