--- title: "Taxing Artificial Intelligence · AI Fault Line" url: https://aifaultline.com/research/p/title-428ce738c7f7bc77/ description: "AI Fault Line is a neutral, evidence-cited field guide to why experts looking at the same developments disagree about AI's effect on productivity, jobs, inequality, regulation and the pace of change." --- [Research](https://aifaultline.com/research/) # Taxing Artificial Intelligence Juliette Faivre, Sarah H. Cen · arXiv · 2 Jul 2026 [Read original source](https://arxiv.org/abs/2607.02144v1) Open access Where this sits in the debate - [Will AI destroy more jobs than it creates?](https://aifaultline.com/debate/jobs/) - [Should governments act on AI now?](https://aifaultline.com/debate/regulation/) Direction of the finding as read from the abstract by an AI model ([AI-written](https://aifaultline.com/about/)). ## Abstract While AI promises major benefits, its development and deployment can shift costs onto others, including environmental pressures on local communities, labor and creative displacement, and systemic risks from rapid frontier development. Taxation is an integral part of policy design, and recent academic, industry, and policy debates have begun to consider whether tax instruments can help address these harms. In this paper, we explore the viability of AI taxation. More broadly, AI taxation should not be understood only as Pigouvian correction. In the AI context, taxation can also correct harmful activity, redistribute unevenly borne costs and gains, and fund regulatory capacity. We discuss the main externalities associated with AI and survey possible tax instruments, including corporate income and rent-based taxes, consumption taxes on AI-related services, and excise instruments tied to specific AI activities. We further assess the benefits and pitfalls of these instruments, including feasibility, measurement problems, incidence, leakage, and innovation costs. Because AI externalities differ in nuanced ways, tax policy must be carefully designed and matched to the specific harms and policy objectives. ## About this publication **Preprint.** A preprint — posted publicly before or without journal peer review; findings may still be revised. Published 2026 (4 months ago) Citations Not recorded for this source Citation counts come from OpenAlex; none are recorded for this source — absence of a count is not absence of citations. [Chart: published 2026] ## More on this topic Related by theme, not necessarily by method or conclusion. - [Artificial Intelligence and Institutional Transformation across Regulatory Economic and Knowledge Systems](https://aifaultline.com/research/p/doi-10-64771-jsetms-2026-v03-i06-pp131-146/) Journal of Science Engineering Technology and Management Sciences · 2026 - [Governing the Ungovernable: Structural Contradictions, Institutional Limitations, and the Constraints of State Authority in AI Regulation in China and the United States](https://aifaultline.com/research/p/doi-10-30574-wjarr-2026-30-3-1617/) World Journal of Advanced Research and Reviews · 2026 - [Governing the Ungoverned: A Framework for Responsible AI Deployment in Nigeria’s Informal Economy](https://aifaultline.com/research/p/doi-10-59256-ijrtmr-20260603031/) International Journal Of Recent Trends In Multidisciplinary Research · 2026 - [Digitalization, AI Adoption, and MSME Productivity: An Ibn Khaldunian Perspective](https://aifaultline.com/research/p/doi-10-22373-share-0060/) Share Jurnal Ekonomi dan Keuangan Islam · 2026 Overview assembled automatically from collected metadata. [How this site is built](https://aifaultline.com/about/).