Luis Garicano on Spain, Europe, and the Future of Work

Episode Summary

Executive Summary: Tyler Cowen and Luis Garricano discuss Spain’s housing rigidity, weak productivity, regional politics, EU institutional limits, and labor-market reform, then turn to AI and Garricano’s thesis in Messy Jobs: AI is unlikely to cause mass unemployment because many jobs will become more relational and harder to automate, though retraining remains difficult and uneven. The conversation ends with Spain’s AI position and the value of being a fast second mover.

Main Topics: Spain’s housing market and NIMBY politics (Priority: 5/5): Garricano explains how Spain shifted from permissive construction to rigid anti-building norms after the housing bubble, corruption scandals, and centralized land-use restrictions. He argues that Spain’s empty land, biodiversity rules, and public fear of corruption have produced severe supply constraints. Spain’s productivity stagnation and demographic politics (Priority: 5/5): The discussion centers on decades of weak productivity growth, extensive rather than intensive growth, and a political economy skewed toward retirees and pensions. Garricano argues that older voters dominate policy, crowding out productive investment and reform. Industrial policy and regional decline (Priority: 4/5): On EU tariffs or industrial policy for Chinese EVs, Garricano is skeptical: Europe lacks clear objectives and tends to protect legacy firms rather than let losers fail. He uses Valladolid’s auto sector as an example of how painful but necessary adjustment would be. Spain, Catalonia, Basque fiscal politics, and party discipline (Priority: 5/5): Garricano explains Spain’s asymmetric regional finance system, especially the Basque arrangement, as a product of political bargaining and fear of violence. He also emphasizes party discipline and weak voter control as central features of European politics. EU governance, unanimity, and capital markets (Priority: 4/5): He argues EU unanimity rules block effective action in taxes, defense, foreign policy, and borrowing, and that harmonization often adds layers without removing national ones. On capital markets, he says Europe has money but lacks the managerial experience and institutional design to scale startups. AI, messy jobs, and labor-market adjustment (Priority: 5/5): Garricano’s core thesis is that AI will not create mass unemployment because it will make jobs messier, more relational, and harder to fully specify. Clean, verifiable tasks are most exposed; complex human-facing work is more resilient. Retraining is hard, but better job-use education may help. Spain, language, and culture under technological change (Priority: 3/5): The speakers discuss Spain’s literary strengths, weak nonfiction tradition, and how AI will likely affect creative and artistic domains more slowly. Garricano also notes English is infiltrating Spanish more than Latin American usage shifts are.

Key Arguments: Spain’s current housing shortage is largely political: corruption fears and anti-developer sentiment converted a formerly elastic housing supply into a rigid one. Empty land does not automatically mean buildable land; biodiversity rules, municipal constraints, and urban myths about scarcity prevent expansion around cities like Madrid and Barcelona. Spain’s productivity problem is rooted in political economy: growth since 2008 has flowed mainly to pensions rather than productive investment. Major reforms in Spain have historically come during crises, not from normal political incentives; Garricano expects reform pressure to emerge only under stress. Europe’s industrial policy is likely to be captured by incumbents, because the political system protects losers and lacks a clear strategic target. The Basque fiscal arrangement created an unstable precedent that Catalonia wants to imitate, but doing so for a larger region would be fiscally unsustainable. EU unanimity in core sovereign domains makes genuine integration nearly impossible because every deal has a loser and national governments guard veto power. Europe’s capital problem is less about cash than about combining money with managerial know-how, startup experience, and scalable institutions. AI will mostly automate clean, easily specified tasks; messy jobs with relational and contextual components will remain human-centered. Retraining alone is not a reliable solution to AI disruption; changing occupations is hard because skills, identity, and social context do not transfer easily. A near-term AI labor effect may be increased intensity rather than leisure, though some hidden welfare gains show up as reduced stress and better workflow. Spain and Europe should aim to be fast second movers—adopting and adapting AI quickly rather than trying to build sovereign frontier models from scratch.

Data Points: Spanish houses built per year before the crisis: up to 800,000 - Garricano cites pre-2008 overbuilding as evidence of Spain’s formerly elastic housing supply. Spanish houses built per year now: less than 100,000 - He uses this to illustrate the collapse in housing construction and severe supply rigidity. Productivity growth horizon: roughly 30 years - Garricano says Spanish productivity has not really grown for three decades. Share of GDP growth since 2008 going to pensions: 100% - He claims all GDP growth since the financial crisis has been absorbed by pensions. Spain’s fertility ranking: 5th lowest in the world - Used to describe the country’s demographic profile and political economy. Spain’s life expectancy ranking: 5th highest in the world - Part of his explanation of an older, pension-heavy electorate. Spanish science Nobel reference: 1905 - He says Spain’s last Nobel Prize winner in science dates back to 1905. Regional population example: 300,000-400,000 - Approximate size Tyler references for Valladolid as a city heavily exposed to auto manufacturing. Model update cadence: every month or two - Garricano notes how rapidly frontier AI models improve, making it hard to keep up. Age/health tracking example: 53 chronological, 59 physical (later 57 physical) - Tyler mentions his Whoop-reported physical age deteriorating as he works more.

Pivotal Quotes: "It could do the reforms it needs. It's going to have to be through a crisis, I'm afraid." — Luis Garricano: On why Spain’s political economy blocks gradual reform and why crisis tends to trigger change. "The jobs will become messy jobs, and the AIs won't be able to do them." — Luis Garricano: Core thesis of Messy Jobs: AI automates clean tasks, but human-relational work remains. "Europe becomes a not even the US has that, right?" — Tyler Cowen: Pressed on whether he would eliminate unanimity rules in EU decision-making; Garricano argues core-state unanimity is a major barrier.

Implications: For Spain and Europe, the main constraints are political, not technological: housing, labor, capital markets, and AI adoption all depend on institutional reform. For workers, AI is more likely to reshape tasks than erase jobs, but adaptation and retraining will be uneven.