--- title: "The Economics of Artificial Intelligence · AI Fault Line" url: https://aifaultline.com/research/p/doi-10-4324-9781042011162/ 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/) # The Economics of Artificial Intelligence Ceyhun Elgin · Routledge eBooks · 20 Oct 2026 [Read original source](https://doi.org/10.4324/9781042011162) Open access Where this sits in the debate - [Will AI actually boost productivity and growth?](https://aifaultline.com/debate/productivity/) · its finding: it depends ([why studies differ](https://aifaultline.com/debate/productivity/#why)) - [Will AI destroy more jobs than it creates?](https://aifaultline.com/debate/jobs/) · its finding: it depends ([why studies differ](https://aifaultline.com/debate/jobs/#why)) - [Will AI widen inequality?](https://aifaultline.com/debate/inequality/) · its finding: it depends ([why studies differ](https://aifaultline.com/debate/inequality/#why)) Direction of the finding as read from the abstract by an AI model ([AI-written](https://aifaultline.com/about/)). ## Key takeaway [AI-written](https://aifaultline.com/about/) Ceyhun Elgin's book sets out an economic framework for AI as a general-purpose technology that reallocates tasks between people and machines. It covers why productivity gains may be delayed or uneven and how wages, inequality, market power, public finance and development could change. ## Abstract This book offers a rigorous but accessible economic map of the artificial intelligence (AI) economy. Moving beyond both technological hype and alarmist predictions of mass unemployment, Ceyhun Elgin explains how AI changes the allocation of tasks between humans and machines; why productivity gains may be delayed or uneven; and how wages, inequality, market power, public finance, financial stability, and global development are likely to be transformed. AI, the book argues, is not simply a new tool that makes existing work faster. It is a general‑purpose, task‑reallocating technology that changes the organization of production itself. Bringing together macroeconomics, labor economics, industrial organization, finance, public finance, development economics, and political economy, this book provides a unified framework for understanding the most important economic transformation of our time. It examines why AI may generate a productivity boom in some sectors while producing displacement and concentration in others; why superstar firms may become even more powerful; how tax systems and welfare states must adapt when value shifts from labor toward data, software, and intangible capital; and why developing economies may face both new opportunities and new risks in an AI‑driven world. This book’s central message is clear: AI’s economic future is not predetermined. The same technology can support broad‑based prosperity, deepen inequality, strengthen public services, entrench corporate power, expand access to knowledge, or intensify social and geopolitical divides. Outcomes will depend on institutions, competition, education, regulation, public investment, and the distribution of bargaining power. Designed for researchers, graduate students, policymakers, business leaders, and intellectually engaged readers, this book explains not only what AI can do, but how it changes the economic foundations of growth, work, welfare, and power. ## About this publication **Academic journal.** Published in an academic journal — typically peer-reviewed before publication, though indexing alone doesn't guarantee review depth. Published 2026 (recently) Citations 0 (OpenAlex) 0 citations recorded by OpenAlex — too few 2026 papers in this collection for a fair comparison. [Chart: published 2026] ## More on this topic Related by theme, not necessarily by method or conclusion. - [The Effects of Generative AI on High Skilled Work: Evidence from Three Field Experiments with Software Developers](https://aifaultline.com/research/p/doi-10-2139-ssrn-4945566/) SSRN · 2024 - [GPTs are GPTs: An Early Look at the Labor Market Impact Potential of Large Language Models](https://aifaultline.com/research/p/doi-10-48550-arxiv-2303-10130/) arXiv · 2023 - [Experimental evidence on the productivity effects of generative artificial intelligence](https://aifaultline.com/research/p/doi-10-1126-science-adh2586/) Science · 2023 - [The simple macroeconomics of AI](https://aifaultline.com/research/p/doi-10-1093-epolic-eiae042/) Economic Policy · 2024 Overview assembled automatically from collected metadata. [How this site is built](https://aifaultline.com/about/).