Mapping the relationship between journalistic discourse, tech industry layoffs, and artificial intelligence

The tech industry’s 2023–2024 mass layoffs represented a critical moment in which an infallible industry seemed to suddenly lay bare its weak spots. Historically, Big Tech and the American press have had a complementary relationship, journalism often reinforcing an industry long viewed as too big to fail. Through textual analysis of long-form coverage of the tech layoff crisis, we identify three themes. First, even amid layoffs, Big Tech is presented as too complex and important to regulate, with layoffs framed as necessary for long-term health—and as justification for subsequent layoffs by other firms. Second, AI is presented as both a positive and a negative factor in layoffs, yet remains largely unchallenged. Finally, coverage paid minimal attention to disproportionate impacts on women and racial minorities, upholding gender and racial imbalances in Big Tech. Taken together, the press did not simply explain layoffs—it acted as an active stakeholder.

Authors

Institutions

Publication Details

Journal
New Media & Society
Published
2026-04-15
DOI
https://doi.org/10.1177/14614448261437808
Primary Topic
Organizational Downsizing and Restructuring
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Mapping the relationship between journalistic discourse, tech industry layoffs, and artificial intelligence

Jessica Maddox, Anne Herfurth
New Media & Society
Organizational Downsizing and Restructuring
article

Mapping the relationship between journalistic discourse, tech industry layoffs, and artificial intelligence

Jessica Maddox, Anne Herfurth
article en

Abstract

The tech industry’s 2023–2024 mass layoffs represented a critical moment in which an infallible industry seemed to suddenly lay bare its weak spots. Historically, Big Tech and the American press have had a complementary relationship, journalism often reinforcing an industry long viewed as too big to fail. Through textual analysis of long-form coverage of the tech layoff crisis, we identify three themes. First, even amid layoffs, Big Tech is presented as too complex and important to regulate, with layoffs framed as necessary for long-term health—and as justification for subsequent layoffs by other firms. Second, AI is presented as both a positive and a negative factor in layoffs, yet remains largely unchallenged. Finally, coverage paid minimal attention to disproportionate impacts on women and racial minorities, upholding gender and racial imbalances in Big Tech. Taken together, the press did not simply explain layoffs—it acted as an active stakeholder.

New Media & Society
University of Georgia (US), University of Alabama (US)
Gender equality
Openalex Percentile: Top 15%
Organizational Downsizing and Restructuring
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.