A new book authored by three journalism scholars is examining the disruptive impact of artificial intelligence (AI) on journalism and arguing that the technology could provide an opportunity to fundamentally rethink how news is produced, distributed, and consumed.
Titled “Journalism in the Age of AI: From Acceleration to Reimagination”, the new book focuses on the rapidly changing relationship between AI and journalism, arguing that AI should not merely be used to accelerate existing newsroom practices but should prompt a broader reconsideration of journalism’s purpose, professional practices, business models, and democratic role.
The book, which is published by Polity Press, was authored by Seth C. Lewis, the Elcan Jefferson Scholars Foundation Distinguished Professor of Artificial Intelligence and Media Studies at the University of Virginia in the United States of America; Rodrigo Zamith, an Associate Professor and former Chair of the Journalism Department at the University of Massachusetts Amherst, also in the U.S.A.; and Tomás Dodds, an Assistant Professor in Journalism and Mass Communication at the University of Wisconsin-Madison in the U.S.A. and Director of its Public Tech Media Lab.
The authors described AI as a transformative force that is reshaping how people create, learn, and understand the world, placing journalism at the centre of a major technological and institutional transition.
According to them, the current relationship between AI and journalism, however, risks simply accelerating longstanding problems in the news industry rather than addressing them.
They argued that AI could instead become an opportunity to break from established routines and reimagine journalism as a profession centred on public service, human agency, and democratic accountability.
The book was published electronically in August 2026, with an open-access digital edition available through the authors’ website, while physical editions are scheduled to be shipped in November 2026 in the United Kingdom and in January 2027 in the U.S.A.
The six-chapter book begins by examining what the authors describe as journalism’s “constitutive moment” as AI challenges traditional assumptions about human labour in news production.
The first chapter traces three waves of newsroom automation, culminating in the current expansion of generative AI into creative and cognitive tasks.
The authors argue that AI should not be understood simply as a technological development because its effects are also determined by institutional structures, culture, and human choices.
The second chapter, “The Newsroom Accelerates,” examines AI applications across the news-production process, from story ideation to distribution.
The authors noted that many current applications are focused on automating routine tasks and increasing efficiency, but encouraged news organisations to consider what AI might make possible rather than concentrating exclusively on what it can make faster.
The chapter consequently places emphasis on complementarity between journalists and AI rather than treating the technology primarily as a replacement for human workers.
Another major concern addressed in the book is the changing distribution of power within the media industry.
In “The New Architecture of Media Power,” the authors argue that media power is increasingly linked not only to ownership of newspapers, television stations, and other conventional media outlets, but also to control over technology, cloud infrastructure, and distribution systems on which journalism depends.
The chapter examines the growing influence of major technology and AI companies over the infrastructure supporting journalism, as well as the implications of AI-powered answer engines and declining search traffic for publishers.
The authors raise questions about the implications of this shift for journalism’s editorial independence and financial sustainability, particularly where critical elements of the industry’s infrastructure are controlled by technology companies.
The book also examines the implications of AI for democracy. Chapter Four, “Designing AI for Democracy,” examines how AI can influence public understanding, deliberation, and participation.
The authors argue that the future impact of AI on democratic life is not predetermined and that choices about how AI systems are developed and deployed will have significant consequences.
They identify journalism as one of the institutions that can contribute to efforts to ensure that AI systems serve democratic objectives, while emphasising that the challenge extends beyond journalism to society more broadly.
The authors devoted another chapter to the implications of AI for journalism education. “Learning to Think in the Age of AI” examines how AI is changing the process of learning and challenges the tendency to treat AI in education primarily as a problem of academic cheating.
The authors argued that a more fundamental question is whether education systems can enable students to use AI thoughtfully while continuing to develop independent judgment, source evaluation, narrative construction, and genuine knowledge.
They therefore called for a reconsideration of how journalism and related disciplines are taught rather than simply developing new rules governing AI use by students.
The final chapter, “Reimagining Journalism for the Age of AI,” brings together the book’s central concerns.
The authors identified several risks associated with the current trajectory of AI adoption, including the deprofessionalisation of journalism, increasing technological control by major companies, weakening of the democratic public sphere, and erosion of human judgment.
At the same time, they argued that the future remains open to different choices by journalists, news organisations, educators, policymakers, and citizens.
The book consequently presents AI not simply as a threat to journalism or a technological solution to the industry’s problems, but as a point at which fundamental decisions about the future of journalism can be made.
