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Julian Jacobs
Research Topic:
Julian Jacobs is a DPhil/PhD student specialising in comparative political economy. His research areas of focus include artificial intelligence, the political implications of technological shocks, inequality, debt, and polarisation.
He is currently studying the relationship between disruptive digital technology shocks and rates of household indebtedness in the United States as well as the question of 'who can be retrained' in an age of digitally-enabled automation and task substitution. His previous work looked at the relationship between technological disruption and socio-political views, with a focus on populism, class dealignment, and polarisation.
He is a recipient of the Fulbright Scholarship, through which he pursued research into comparative AI governance and political economy.
Outside of academia, he has previously worked for the Office of Barack Obama, The Brookings Institution, the Center for AI Safety, OMFIF, and University College London. And his writing and research have previously been featured in the New York Times, Financial Times, Vox, Politico, Bloomberg, and Jacobin.
Prior to joining the Oxford DPIR, he received his MSc in Political Science and Political Economy from The London School of Economics. He received his BA in Philosophy, Politics, and Economics from Brown University.
Publications
Academic Research Papers
Selected Essays
Jacobs (2023) "The Arguments Against Student Debt Forgiveness Are All Bunk," Jacobin
Jacobs (2023) "A Recession Is Underway for the Many but Not for the Few," Jacobin
Jacobs (2022) "Democrats Are Ditching Class, and It’s Costing Them Working-Class Voters," Jacobin
Jacobs (2021) "Automation and the radicalization of America," The Brookings Institution
Jacobs (2020) "America’s House of Debt," Dollars & Sense
Presentations
Jacobs (2020) "Artificial Intelligence: Inequality, Power & Politics," Goethe Institut
Jacobs (2019) "The Problem of Inequality in the Age of Artificial Intelligence," TEDx
Jacobs (2018) "How will artificial intelligence affect income inequality?" TEDx
Media
"Best Place for A.I. Jobs (New Report Says) Won’t Surprise You," New York Times (2023)
"The skewed geography of AI," Politico (2023)
"FTAV’s further reading," Financial Times (2023)
"AI boom's big winners are all in four states," Axios (2023)
"S.F. is the epicenter of the AI boom. Will it always be?" San Francisco Chronicle (2023)