Will the AI economy create a permanent underclass?
AI could widen global inequality, rewarding countries in the supply chain while leaving others with job losses and little fiscal cushion.
Intelligence analysis by GPT-5.4 Mini
Kenneth Rogoff argues that AI is not just a tech story but a distribution story. Countries that supply chips, machines, and infrastructure may gain wealth, while those shut out could face job losses without the tax revenue to soften the blow.
AI is like a new race for the best toys and tools. Some countries may win big and get rich, while others may be left with fewer jobs and less money to help people.
Analysis
The core argument
Kenneth Rogoff’s central claim is that AI may not lift all boats. Instead, it could deepen the divide between countries that sit inside the AI supply chain and those that do not. He points to the Bay Area boom as a sign of how concentrated the gains can be: founders, chip suppliers, and early winners capture extraordinary wealth, while many workers elsewhere face pressure from automation.
Winners and losers
The article says South Korea, Japan, and Taiwan are better positioned because they already play key roles in AI hardware and components. South Korean giants such as Samsung and SK Hynix are cited as major beneficiaries of demand for advanced memory chips, while ASML in the Netherlands is described as a rare European success story.
By contrast, Rogoff argues that Africa and Latin America are in a weaker position. He says many countries there still lack basic electricity, have trouble financing datacentres, or face recurrent debt problems that scare off capital. That means they could experience job displacement without the windfall profits or tax receipts needed to cushion the shock.
India and China
India appears as both vulnerable and promising. Rogoff says AI could hit its outsourcing sector hard because mid-level white-collar work is exactly the kind of work AI can eat into. At the same time, he says India has strong technical talent and could still emerge as a major winner if it can keep that talent at home.
China is portrayed as an AI powerhouse, but one that still has to deal with the social consequences of displacement. Rogoff says even a country that wins the race can struggle if it cannot maintain stability as jobs shift.
The broader warning
The article ends with a warning that the danger is not only within countries but between them. If AI wealth stays concentrated in a small group of countries and firms, billions of people could be pushed further behind.
Key points
- Rogoff argues that AI may widen the gap between countries that benefit from the supply chain and those that do not.
- He says South Korea, Japan, Taiwan, and parts of Europe are better positioned than Africa and much of Latin America.
- He warns that countries without AI profits may lack the tax revenue needed to respond to job losses.
- India could be hit hard in outsourcing, even though it has enough talent to become a winner if it can keep it at home.
- China is already strong in AI, but it still faces social-stability risks from job displacement.
If countries manage to secure a place in the AI supply chain, they can capture new profits and tax revenue from the technology boom. That money could help them invest in safety nets and reduce the harm from job losses.
Countries outside the AI supply chain may face mass job displacement without the wealth to cushion it. Even resource-rich places could struggle if new revenues do not translate into broad political and economic gains.
