This chapter examines the implications of Artificial Intelligence (AI) and automation for the taxation of labor and capital in advanced economies. It synthesizes empirical evidence on worker displacement, productivity, and income inequality, as well as theoretical frameworks for optimal taxation. Implications for tax policy are discussed, focusing on the level of capital taxes and the progressivity of labor taxes. While there may be a need to adjust the level of capital taxes and the structure of labor income taxation, there are potential drawbacks of overly progressive taxation and universal basic income schemes that could undermine work incentives, economic growth, and long-term household welfare.
Working Paper No. 1501
AI, Automation, and Taxation
Working Paper
Reference
Bastani, Spencer and Daniel Waldenström (2024). “AI, Automation, and Taxation”. IFN Working Paper No. 1501. Stockholm: Research Institute of Industrial Economics (IFN).
Bastani, Spencer and Daniel Waldenström (2024). “AI, Automation, and Taxation”. IFN Working Paper No. 1501. Stockholm: Research Institute of Industrial Economics (IFN).
Authors
Spencer Bastani, Daniel Waldenström