Smart Newsroom or Structural Divide? AI Adoption and Regional Inequality in Portuguese Journalism

This article presents the first comprehensive study of Artificial Intelligence (AI) integration within the Portuguese news media landscape, based on a mixed-methods design combining a systematic literature review, a nationwide survey, and focus groups. The findings reveal a two-tiered ecosystem: while large multimedia conglomerates based in urban centres are beginning to institutionalise AI for tasks such as data processing and content distribution, adoption in regional and local newsrooms remains fragmented, driven largely by individual initiative. Journalists primarily deploy AI for routine, often invisible tasks – including transcription, translation, and search engine optimisation – while expressing ethical reservations about the use of AI in automated content production. Key professional concerns include the “efficiency paradox,” the implications of synthetic media for disinformation, and the potential erosion of journalistic authorship. By exposing structural asymmetries and negotiating practices within newsrooms, this article critiques universalist discourses surrounding the “smart newsroom” and argues that AI trajectories are deeply shaped by questions of newsroom sovereignty and sustainability. Portugal is positioned as a critical case study for examining technological change in non-dominant media systems.

Authors

Institutions

Publication Details

Journal
Journalism Practice
Published
2026-07-22
DOI
https://doi.org/10.1080/17512786.2026.2706725
Primary Topic
Media Studies and Communication
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Smart Newsroom or Structural Divide? AI Adoption and Regional Inequality in Portuguese Journalism

Joana Ramalho, Felisbela Lopes, Catarina Duff Burnay, Ana Cecília Bisso Nunes et al.
Journalism Practice
Media Studies and Communication
article

Smart Newsroom or Structural Divide? AI Adoption and Regional Inequality in Portuguese Journalism

Joana Ramalho, Felisbela Lopes, Catarina Duff Burnay, Ana Cecília Bisso Nunes, António Granado, Dora Santos-Silva, Ana Marta M. Flores, Carlos Camponez, Paulo Nuno Vicente, Tatiana Dourado, José Manuel Sotero, Pedro Jerónimo, João Miranda, Fábio Ribeiro
article en

Abstract

This article presents the first comprehensive study of Artificial Intelligence (AI) integration within the Portuguese news media landscape, based on a mixed-methods design combining a systematic literature review, a nationwide survey, and focus groups. The findings reveal a two-tiered ecosystem: while large multimedia conglomerates based in urban centres are beginning to institutionalise AI for tasks such as data processing and content distribution, adoption in regional and local newsrooms remains fragmented, driven largely by individual initiative. Journalists primarily deploy AI for routine, often invisible tasks – including transcription, translation, and search engine optimisation – while expressing ethical reservations about the use of AI in automated content production. Key professional concerns include the “efficiency paradox,” the implications of synthetic media for disinformation, and the potential erosion of journalistic authorship. By exposing structural asymmetries and negotiating practices within newsrooms, this article critiques universalist discourses surrounding the “smart newsroom” and argues that AI trajectories are deeply shaped by questions of newsroom sovereignty and sustainability. Portugal is positioned as a critical case study for examining technological change in non-dominant media systems.

Journalism Practice
University of Trás-os-Montes and Alto Douro (PT), University of Beira Interior (PT), Universidade Católica Portuguesa (PT), Pontifícia Universidade Católica do Rio de Janeiro (BR), Universidade Europeia (PT), Pontifícia Universidade Católica do Rio Grande do Sul (BR), University of Coimbra (PT), Universidade Nova de Lisboa (PT), University of Minho (PT)
Openalex Percentile: Top 4%
Media Studies and Communication
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.