Political economy is the study of collective action — through markets, states, civil society, and culture.
My work shows how people cooperate, coordinate, and signal their way to status, opportunity, and prosperity — and why societies that open those paths to anyone, rather than rationing them by birth, faith, or connections, are rare and hard to keep.
Victor Menaldo is a professor of political science at the University of Washington, the author of History’s Most Revolutionary Innovation (Cambridge University Press, 2026), and at work on a book about the political economy of liberalism.
History’s Most Revolutionary Innovation
In History’s Most Revolutionary Innovation, I show that America’s AI dominance was not an accident of entrepreneurial culture or free markets. It was engineered — through four decades of bipartisan reforms to intellectual property, antitrust, telecommunications, and trade policy that quietly built the legal and economic scaffolding the digital economy required.
Situating AI within the lineage of previous general purpose technologies like steam engines, electricity, and the microchip, and tracing its full arc from semiconductors to smartphones to large language models, I show how a handful of dominant firms simultaneously captured outsized returns and spread innovation across global supply chains — and ask what happens now that the US, China, and the EU are retreating into competing, gated technology regimes.
The result is the first comprehensive account of where AI came from, why its benefits have been uneven, and what will determine whether the AI revolution lifts living standards.
Earlier Books
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Cambridge University Press · with Nicolas Wittstock
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Cambridge University Press · with Michael Albertus
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Cambridge University Press
The Political Economy of Liberalism
Why do the world’s wealthiest, most technologically advanced societies keep producing illiberal movements — Trumpism, European nationalism, progressive identitarianism — when modernization theory says they shouldn’t? The book’s answer: liberalism and illiberalism are not opposing value systems but competing solutions to the same menu of collective action problems every society must solve. The liberal solutions are information-intensive and scale only where abundance is broadly accessible; where access thins, even amid plenty, the illiberal package becomes the rational fallback — on the left and the right alike.
Picture the same life lived twice. In the first, a young woman in a village marries the neighbor’s son her parents chose — the families know each other’s land, debts, and reputations three generations back. When fever ruins her husband’s harvest, the congregation feeds them, because the family is in good standing: they tithe, they conform, they showed up to raise the neighbor’s barn. The common pasture is rationed by gossip — everyone knows whose goats overgrazed — and the church roof gets built because everyone can see who didn’t help. Strangers are met with suspicion and dealt with through a cousin who can vouch. Every problem on the menu is solved. The solutions run on eyes and memory; the price is conformity; and the boundary of cooperation is the edge of the parish.
In the second life, she meets her husband among ten thousand strangers — a university, an app — and chooses. Illness and a layoff are covered by paycheck withholding: actuarial pooling across millions she will never meet, eligibility a matter of rules rather than piety. The water she draws is metered and billed; the fishery her dinner came from is governed by permits and courts, not shame. She joins associations by paying dues and leaves them without exile. She hands her credit card to a barista she has never seen and rents from a landlord who trusted a score compiled by strangers about strangers. Every step runs on information at scale — censuses, actuarial tables, credit bureaus, contracts — and on a quiet bet: that millions of others will keep playing by the same rules tomorrow. That bet is the liberal equilibrium. It needs scale, it needs records, and it holds only while everyone believes it holds.
It is a sequel to the AI book in the strict sense. The liberal solutions run on humanity’s tools for modeling the world — no statistics, no welfare state; no writing, no contract law — and the book closes with a chapter on AI and liberalism: the first tool that makes the liberal solutions cheaper across the board while degrading the thing the liberal equilibrium most depends on, a society’s ability to see itself accurately. Liberal institutions — a free press, peer review, independent courts and audits — are a civilization’s error bars, and AI raises the premium on every one of them.
Op-eds
- seattle timesWA law banning noncompete clauses goes too far in voiding existing ones2026
- los angeles timesWhat China’s DeepSeek breakthrough really means for the future of AI2025
- seattle timesThe fallout for WA of Trump’s tariff plan2024
- seattle timesRobust democracy’s checks and balances would stymie Trump2024
- seattle timesInnovation inequality and the 2024 election: A deep-rooted divide · with Nicolas Wittstock2024
- seattle timesHow have prosecutions of foreign leaders turned out? It’s complicated · with James Long2023
- seattle timesWA’s capital gains tax will have unintended consequences2023
- seattle timesSection 230: Friend, not foe, of free speech · with James Long2021
- seattle timesIs our cancel culture killing free speech?2020
- seattle timesDear Bernie: Democratic socialism depends on robust capitalism2020
- new york timesWhy Are So Many Democracies Breaking Down? · with Michael Albertus2018
- seattle timesCrony capitalism and protectionism are the despot’s way · with Michael Albertus2018
- seattle timesA glimmer of hope for democracy in Egypt · with Michael Albertus2014
- new york timesDemocracy Slowly Won Out Over Other Coups · with Michael Albertus2013
- new york timesThe Aftermath of Revolution · with Michael Albertus2012
- wall street journalAfghanistan and the Resource Curse · with Stephen Haber2010
- seattle timesComplete Seattle Times archive →
Professor of Political Science, University of Washington · Co-founder, UW Political Economy Forum · vmenaldo@uw.edu