A month into U.S. President Donald Trump’s second term in office, many are alarmed by what they see as emerging signs of democratic erosion. In a new essay, called “The Path to American Authoritarianism (https://www.foreignaffairs.com/united-states/path-american-authoritarianism-trump) ,” the scholars Steven Levitsky and Lucan Way make the case that such alarm is justified—that the administration’s early moves could herald an irreversible transformation of the U.S. political system, with major implications for global democracy.
Drawing from their research on democratic decline worldwide, Levitsky and Way argue that the United States faces a particular kind of risk that many observers miss—a form of so-called competitive authoritarianism, in which elections continue but the state apparatus is weaponized against opposition.
Levitsky is David Rockefeller Professor of Latin American Studies and Professor of Government at Harvard University and a Senior Fellow for Democracy at the Council on Foreign Relations. Way is Distinguished Professor of Democracy at the University of Toronto Distinguished Professor of Democracy in the Department of Political Science at the University of Toronto and a Fellow of the Royal Society of Canada. They are the authors of Competitive Authoritarianism: Hybrid Regimes After the Cold War.
In a special bonus episode, they speak with senior editor Eve Fairbanks about the global playbook for authoritarian regimes—and the stakes for American democracy.
You can find sources, transcripts, and more episodes of The Foreign Affairs Interview at https://www.foreignaffairs.com/podcasts/foreign-affairs-interview.
Never miss an episode. Sign up for the Foreign Affairs Interview newsletter, delivered every other Thursday:
https://www.foreignaffairs.com/newsletter/the_foreign_affairs_interview?utm_medium=social&utm_source=youtube_posts&utm_campaign=podcast_notes
Subscribe to the rest of our free newsletters here:
https://www.foreignaffairs.com/newsletter?utm_medium=social&utm_source=youtube_posts&utm_campaign=podcast_notes