--- title: "Computerized Machine Tools and the Transformation of U.S. Manufacturing · AI Fault Line" url: https://aifaultline.com/research/p/doi-10-1162-rest-a-287/ 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/) # Computerized Machine Tools and the Transformation of U.S. Manufacturing Leah Platt Boustan, Jiwon Choi, David Lawrence Clingingsmith · The Review of Economics and Statistics · 9 Sep 2025 [Read original source](https://doi.org/10.1162/rest.a.287) Where this sits in the debate - [Will AI actually boost productivity and growth?](https://aifaultline.com/debate/productivity/) - [Will AI destroy more jobs than it creates?](https://aifaultline.com/debate/jobs/) Direction of the finding as read from the abstract by an AI model ([AI-written](https://aifaultline.com/about/)). ## Abstract Abstract The diffusion of computerized machine tools in the mid-20th century was a pivotal step in the century-long process of factory automation. We build a novel measure of exposure to computer numerical control (CNC) using initial variation in tool types across industries and differential shifts toward CNC by type. Industries more exposed to CNC from 1970–2007 increased labor productivity and reduced production employment. Workers in more exposed labor markets adjusted by shifting from metal to non-metal manufacturing. Union members were shielded from this job loss, and some workers returned to school to retrain. ## About this publication **Leading field journal.** A leading journal in economics or a neighbouring field (on the Tinbergen Institute’s A list or near the top of the RePEc ranking), or a top-rated computer-science venue. Placed by: Tinbergen Institute A list. [How sources are ranked](https://aifaultline.com/about/#source-ranking). Published 2025 (14 months ago) Citations 0 (OpenAlex) 0 citations recorded by OpenAlex — too few 2025 papers in this collection for a fair comparison. [Chart: published 2025] □ added to this collection in 2026. author affiliation matches seed institution princeton university — part of why this paper is in the collection. ## 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 - [Extending “GPTs Are GPTs” to Firms](https://aifaultline.com/research/p/doi-10-1257-pandp-20251045/) AEA Papers and Proceedings · 2025 - [New Frontiers: The Origins and Content of New Work, 1940–2018](https://aifaultline.com/research/p/doi-10-1093-qje-qjae008/) The Quarterly Journal of Economics · 2024 Overview assembled automatically from collected metadata. [How this site is built](https://aifaultline.com/about/).