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Who Can Stop Semiconductor Production? Capital Vintage and Worker Representation at Samsung Electronics in the Age of AI Chips, 2018–2025

Published online by Cambridge University Press:  05 November 2026

Yoehan Oh*
Affiliation:
Department of Computer Science, Yale University, New Haven, Connecticut, USA
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Abstract

The 2024 strike at Samsung Electronics in South Korea was the first in the company’s fifty-five-year history. It sought to disrupt production first on less-automated foundry lines producing legacy semiconductors and then on highly automated lines producing high-bandwidth memory, stacked memory for artificial intelligence (AI) accelerators. Production effects remained contested, and stoppages yielded no clear bargaining gain. This article argues that capital investment and automation distribute labor power unevenly within a firm: differences in production systems’ age and degree of automation can separate sites of greater potential labor leverage from those of greater strategic value. I call this relationship among fixed-capital age, automation, and labor dependence “capital vintage.” At Samsung, newer capacity producing its most valuable chips was more automated, while older lines remained more labor-dependent but less strategically valuable. Capital vintage anchors the analysis of leverage, legibility, and legitimacy. The strike showed that potential production leverage did not automatically make wage demands publicly legible, especially when strikers were portrayed as among the country’s top earners. The union therefore gave greater weight to an existing occupational-health strategy, drawing on decades of civil-legal conflicts that made injured workers’ bodily harm a recognizable basis for claims against Samsung. Yet its 2025 internal crisis showed that public legibility could not substitute for representative legitimacy, which depended on union members’ support. The article brings workers who manufacture AI’s material foundations into scholarship on worker power and automation. It draws on Korean- and English-language daily, union and company documents, statutory instruments, and civil-society materials.

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Article
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2026. Published by Cambridge University Press on behalf of International Labor and Working-Class History, Inc.
Figure 0

Figure 1. An overhead hoist transport (OHT) system of the kind installed on Samsung’s newer 12-inch lines, shown here in a research setting at the KAIST Intelligent Manufacturing Laboratory.

Source: © 2022 IEEE. Reprinted, with permission, from Sangpyo Hong, Illhoe Hwang, and Young Jae Jang, “Practical q-learning based route-guidance and vehicle assignment for OHT systems in semiconductor fabs,” IEEE Transactions on Semiconductor Manufacturing 35, no. 3 (August 2022): 385–396, https://doi.org/10.1109/TSM.2022.3168702.