Nobel laureate economist Daron Acemoglu says artificial intelligence and liberal democracy face a similar underlying challenge: a tendency for problems to escalate rather than de-escalate. Speaking in an interview, he argues that the two subjects are connected by how societies respond to disruptive changes.
Acemoglu’s comments frame AI as a catalyst that can intensify political and social tensions, while liberal democracy also confronts pressures that weaken institutions and norms. In the same context, he suggests that holding seemingly conflicting perspectives at once is increasingly stigmatized, which can contribute to more extreme reactions. Across the available coverage, the emphasis is on the shared “crisis” dynamic—escalation—rather than on a single policy proposal or a specific case study.
Other reporting in the provided sources mainly repeats the same core argument from the interview, without adding substantial new details on events, empirical findings, or comparisons between particular countries.
