Julian Jacobs
Research Topic:
I am a Political Economy doctoral candidate at the University of Oxford and a Researcher at Google DeepMind, specializing in AI economic impacts.
My academic work specialises in artificial intelligence policy, the economic impacts of technological shocks, inequality, and worker training programs. For instance, I am currently studying labour upskilling amid AI and the question of 'who can be retrained' in an age of digitally-enabled automation and occupation substitution. This work is supervised by Ben Ansell and David Rueda.
As a researcher at Google DeepMind, I help drive AI policy research, with particular areas of focus including economic impacts, national security, and governance.
Prior to my role at Google DeepMind, I worked at the personal office of Barack and Michelle Obama, The Brookings Institution, and the Centre for the Governance of AI. My writing and research—much of which is captured on this website—has previously been featured in the New York Times, Financial Times, Vox, Politico, Bloomberg, and Jacobin.
Prior to joining Oxford, I received my MSc in Political Science and Political Economy as a Fulbright Scholar at the London School of Economics. And I received my 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)