Jul 2026· AI and Ethics· Vol 6· 0 citations· 40 references
Computer Science
TL;DR
Drawing on optimal tax theory, a model in which an ability-indexed AI tax avoids the intensive margin distortion familiar from human taxation is presented, and it is shown that relatively high-ability/high-profit AI systems will be taxed down to a common level of profit.
We study how AI affects market competition based on a general equilibrium framework with heterogeneous firms facing idiosyncratic productivity and variable markups. Firms choose the AI technology subject to fixed costs, where AI production requires data and energy inputs. Our model predicts a non-monotonic relation of...
Hamid Firooz, Sylvain Leduc, Zheng Liu· Federal Reserve Bank of San...· 0 citations
The findings and interpretations expressed in this paper are entirely those of the authors and do not necessarily represent the views of the International Bank for Reconstruction and Development/World Bank and its affiliated organizations, or those of the Executive Directors of the World Bank or the governments they re...
Timothy C. Lundy, Manuel Ramos-Maqueda, Shyam Jayanti Patel et al.· 0 citations
Preparing for the asymmetric understanding scenario calls for segmented markets that preserve a human fallback, simpler and more robust central bank rules, and less strategic ambiguity.
Markus Brunnermeier, Sylvain Chassang, Martin Chorzempa et al.· 0 citations
The rapid development of autonomous artificial intelligence agents is transforming commercial activity. Unlike conventional software, such agents can negotiate prices, select counterparties, execute purchases, provide services and complete transactions without contemporaneous human intervention. That development create...
Aditya Mishra, N. Jha, Akshat Mishra· International Journal of Law...· 0 citations
