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AI in Journalism

3 min readUpdated September 2026
AI in Journalism
Type
Application of AI
Key uses
Transcription, summarisation, research, translation, personalisation
Main debates
Accuracy, transparency, jobs, content licensing
Adoption signal
97% of publishers rate back-end automation important (2026)
Malaysian examples
Bernama, Media Prima
Related
Deepfake, AI and Copyright, Hallucination (AI)
AI in journalism refers to the application of artificial intelligence across the news production chain — gathering, verification, drafting, distribution and audience engagement — and to the professional and ethical questions that adoption has raised.[1] By 2026 generative AI had moved from newsroom experiments toward production infrastructure, with industry surveys reporting near-universal importance for back-end automation and rising adoption in newsgathering and coding, alongside continuing concerns about accuracy, transparency and the economics of news.[1][3]

Adoption

The Reuters Institute's 2026 trends survey of news executives found that 97 per cent considered back-end automation important, 82 per cent cited newsgathering uses and 81 per cent faster coding and product development; three-quarters expected agentic AI tools to have a large impact on the industry.[1] Concrete deployments include Newsquest, a UK regional publisher that created more than 30 AI-assisted reporter roles working with a drafting tool that can produce up to 30 stories a day under human review; FactGenie, a Reuters tool used by 150 journalists that has halved the time taken to send market alerts; and the New York Times' use of AI to process thousands of hours of podcasts and video for an investigation in two weeks — work that would previously have taken a year.[1] A survey of UK journalists found that most newsrooms had adopted some AI, but described integration as limited.[2]

Issues and Debate

Accuracy remains the central operational risk: generative systems can fail confidently — as in a widely cited case of an AI-generated summer reading list that fabricated book titles — reinforcing the need for human supervision and verification.[4] Labour effects are contested: in the 2026 survey, 67 per cent of publishers said AI efficiencies had not yet saved jobs, 16 per cent had slightly reduced staff, and 9 per cent had added roles.[1] Economics cut both ways: publishers are experimenting with licensing content to AI companies, though most report modest revenues, while AI-driven search threatens referral traffic and tools that read and summarise news on consumers' behalf are expected to reshape distribution further.[1][3] Transparency — labelling AI-generated content and explaining its role in reporting — is presented as central to maintaining trust, alongside digital literacy for both journalists and audiences.[4]

>See Also

🇲🇾Malaysian Context

Malaysian newsrooms have taken cautious early steps. The national news agency Bernama has provided AI training for staff and has experimented with AI-generated content, while Media Prima announced plans to integrate AI across its operations; local commentary frames the technology as an aid that leaves investigative and ethical work with humans.[4] Regulators and policymakers have focused on the downstream risks: Malaysian authorities have highlighted manipulated and AI-generated content as a growing challenge to mainstream media's role as a trusted source, and the country's content-governance framework has begun to address the labelling of AI-generated material.[5][6] For Malaysian practitioners, the practical agenda mirrors global findings — use AI for routine production, keep human judgement and verification central, mark AI-generated content, and invest in journalists' digital literacy.[4]

References

  1. ↑Reuters Institute for the Study of Journalism. (2026). Journalism, media, and technology trends and predictions 2026. https://reutersinstitute.politics.ox.ac.uk/journalism-media-and-technology-trends-and-predictions-2026
  2. ↑Reuters Institute for the Study of Journalism. (2025). AI adoption by UK journalists and their newsrooms. https://reutersinstitute.politics.ox.ac.uk/ai-adoption-uk-journalists-and-their-newsrooms-surveying-applications-approaches-and-attitudes
  3. ↑Associated Press. (2026). Reuters Institute predictions 2026: The scorecard. https://workflow.ap.org/news/reuters-institute-predictions-2026/
  4. ↑Bernama. (2025). Is AI in the newsroom a tool, threat or transformation? https://www.bernama.com/en/thoughts/news.php?id=2451884
  5. ↑Bernama. (2026). Mainstream media's role more critical amid misinformation, AI. https://www.bernama.com/en/world/news.php?id=2594001
  6. ↑Zulhuda, S. (2025). On the labelling of AI content in Malaysia. https://sonnyzulhuda.com/2025/07/13/on-the-labelling-of-ai-content-in-malaysia/
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