Is Artificial Intelligence Causing Journalists to “Deskill”? Exploring Journalistic Deskilling/Upskilling in the AI Age
Bibliographic Data
| ID | 19480313 |
|---|---|
| Authors | Shangyuan Wu (0000-0003-3733-7988, National University of Singapore, corresponding author) |
| Year | 2026 |
| Pages | 1-17 |
| Publication date | 2026-06-03 |
| Open Access | No |
| Type | ARTICLE |
| Venue | Journalism Practice (JOURNAL) |
| Journal identifiers | ISSN: 1751-2786 • E-ISSN: 1751-2794 |
| Publisher | Informa UK Limited (PUBLISHER • GB) |
| DOI | 10.1080/17512786.2026.2682272 |
| OpenAlex | W7163332663 |
| Language | EN |
| References cited | 30 |
As artificial intelligence becomes increasingly used by journalists in news production, the question of whether this causes journalists to “deskill” becomes paramount. This paper discovers the core skills that journalists risk losing and the areas in which they must upskill to remain relevant in the AI age. Referencing the theory of disruptive innovation that may lead to struggles within the journalistic field, this study highlights the disruptive power of AI as “cognitive automation” and the potential harms it might cause to journalism as professional identity, institution and practice. Through in-depth interviews with journalists and editors, this paper reveals skills lost in research, writing, note-taking, analyzing, interviewing and independent thinking, and points to the importance of upskilling in the areas of fact-checking, discernment, stylistic writing, personal branding, prompt writing, editing, interpersonal communication, storytelling, mastery of AI, ethical use of AI, and original ideation. These findings reveal an urgent need for journalists to mindfully limit their reliance on AI, while also highlighting that journalism is more than an accumulation of technical skills; it should be accompanied by a moral compass which journalists must not lose, so that the “humanness” of journalism may be retained even in the AI age
Journalism · Social media · Computational and Text Analysis Methods · Ethics and Social Impacts of AI · Media Influence and Politics
Boundary Work
Artificial Intelligence and Management
Service Innovation in the Digital Age
To Engage or Not to Engage with AI for Critical Judgments
Automation bias
The Ethical Implications of Artificial Intelligence (AI) For Meaningful Work
Democracy in the Information Age
Moral Deskilling and Upskilling in a New Machine Age
Journalism's Immersive Shift
What “Digital Literacies” Must Journalists Have? Unpacking How Journalists Define and Practice News Literacy, Data Literacy, and Algorithmic and AI Literacy in the Digital Age
The Robotic Reporter
Journalism Reconfigured
The Liability of Newness
Technology and journalism-as-labour
The AI turn in journalism
Journalists as individual users of artificial intelligence
Homo journalisticus
| Highly cited | No |
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