Acemoglu warns AI could concentrate economic and political power
Daron Acemoglu argues that AI’s risk to democracy may arise not from mass job losses, but from the concentration of infrastructure, capital and economic power.
Nobel Prize-winning economist Daron Acemoglu argues that one of AI’s less appreciated consequences could be the concentration of economic power—a risk that may emerge even without widespread job displacement.
AI capabilities are becoming cheaper and more accessible, but the underlying infrastructure—from advanced models and chips to data, computing capacity and capital—remains controlled by a relatively small number of companies. Acemoglu’s concern is that if AI becomes a major factor of production, the owners of that infrastructure could capture a growing share of the value created across the economy.
Because economic power can translate into political influence, concentrated AI infrastructure raises a broader question for democratic institutions: can they adapt when capital, information and computing capacity accumulate in fewer hands?
The same issue may arise between countries. The United States and China control significant parts of the AI stack, while other countries could see productivity and GDP increase even as they become more dependent on foreign models, chips and computing infrastructure. Economic growth, in that scenario, would not necessarily mean greater control over the technology driving it.
Acemoglu sees a similar pattern at several levels: individuals may become more productive while losing expertise; companies may become more efficient while losing competitive advantage; and countries may grow richer while becoming more technologically dependent. This is a warning about a possible development path, not a settled prediction about employment or democracy.