X

Rethinking core journalism skills in the age of AI

Laurence Dierickx

2025-03-05

What does it mean to be a journalist in an era when AI technology is automating a wide range of tasks once performed exclusively by humans? Rapid advances in AI-driven journalism – from automated news writing and data analysis to real-time content generation – raise pressing questions about the evolving role of human journalists and the division of labour between humans and machines.

Far from being replaced, human journalists have the opportunity to adapt and thrive by strengthening their expertise in critical thinking, investigative analysis, ethical reasoning and contextual storytelling. While AI can efficiently process vast amounts of information and generate reports at unprecedented speed, it lacks the nuanced judgement, deep contextual understanding and moral responsibility required for high-quality journalism. In this changing landscape, the ability to question sources, interpret complex social issues and provide insightful narratives will become even more important.

So instead of competing with AI on tasks that machines are increasingly capable of doing – such as summarising earnings reports or generating basic news updates – journalists need to focus on areas where human intelligence remains irreplaceable. The table below outlines the journalistic roles that will be transformed by AI, explaining why certain skills will become less relevant and which technologies can replace them.

Skill Why is it becoming obsolete? What replaces it?
Manual aggregation and prioritisation of news feeds AI-driven algorithms can now scan, aggregate and prioritise news feeds in real time, processing vast amounts of information faster than humans. Automated news aggregation tools and AI-powered content curation systems that filter and rank news based on relevance, engagement and contextual analysis.
Editorial selection of website front pages Front pages are now dynamically personalised based on user preferences through AI-driven algorithms. AI-powered recommendation systems (A/B testing, dynamic personalisation)
Writing news briefs and article summaries Generative AI can automatically summarise news and extract key points. AI writing tools and CMS-integrated summary tools
Rewriting wire reports AI can automatically rephrase and adapt newswire content with a specific tone. AI-driven automation in newsrooms
Manual web content layout design AI-enhanced CMS platforms automate content organisation using optimised dynamic templates. Smart CMS with AI layout automation
Manual moderation of comments and forums AI filters automatically detect and remove problematic content (e.g., hate speech, spam, misinformation). AI-powered moderation tools
Manual SEO metadata input AI automates search engine optimisation (SEO) by generating metadata and adapting content strategies. AI-driven SEO optimisation tools
Basic video editing (cuts, subtitles, simple transitions) AI-driven tools can automatically edit, subtitle, and enhance videos with a single click. AI-powered video editing software
Manual audience analysis (using Google Analytics and other tools) AI now interprets audience data and provides actionable recommendations. AI-enhanced analytics tools

 

The table below outlines the key skills that will help journalists stand out and demonstrate their unique value in the age of AI.

Domain Key theoretical skills (knowledge & understanding) Practical skills (application in journalism) Objectives & relevance
Critical thinking & Investigative journalism
  • Understanding cognitive biases (human & AI)
  • Research methodology for journalism
  • Multidisciplinary knowledge (history, politics, sociology)
  • Critically analyse sources and media discourse
  • Conduct in-depth research
  • Contextualise information with expert insight
Encouraging journalism based on investigation, reflection, and in-depth analysis.
Ethical journalism & Editorial integrity
  • Knowledge of journalistic ethics in the AI era
  • Understanding AI biases and algorithmic influence
  • Awareness of regulatory frameworks (AI Act, DSA, GDPR…)
  • Ensuring fairness and transparency in AI-generated content
  • Applying ethical judgment in news production
  • Assessing the risks of AI-driven personalisation
Maintaining journalistic independence and ethical responsibility in a tech-driven media landscape.
AI & journalism
  • Understanding AI algorithms and recommendation systems
  • Ethical implications of AI-generated journalism
  • Identifying algorithmic biases and misinformation
  • Using AI tools for research and automation responsibly
  • Enhancing reporting with AI-assisted analysis
  • Investigating AI’s impact on society
Equipping journalists to use AI as an asset while maintaining control over content quality and ethics.
Fact-checking & Information disorders
  • Techniques for fact-checking and source verification
  • Analyzing misinformation and disinformation strategies
  • Understanding platform policies on false information
  • Using verification tools
  • Identifying deepfakes and manipulated media
  • Reporting on digital propaganda and influence campaigns
Strengthening journalistic credibility by combatting false information effectively.
Digital journalism & Multimedia production
  • Mastering digital research tools (OSINT, databases, archives)
  • Understanding data journalism and visualisation
  • Knowing social media as a research and publishing tool
  • Creating multimedia content (video, podcasts, infographics)
  • Managing CMS platforms for digital newsrooms
  • Using social media for audience engagement
Enabling journalists to leverage digital tools for information production and distribution.
Investigative data journalism
  • Statistical analysis and data interpretation
  • Data visualisation techniques
  • Web scraping, API, and open data investigation
  • Collecting and analysing data sets for journalistic reporting
  • Creating interactive data-driven stories
  • Using data to uncover hidden trends
Enhancing storytelling with data-driven insights and visual narratives.
Source verification & contextual analysis
  • Understanding bias in media and sources
  • Identifying credible vs. manipulated information
  • Legal knowledge related to defamation and media law
  • Fact-checking and cross-referencing sources
  • Investigating source authenticity (background checks, leaks)
  • Ensuring transparency and accountability in reporting
Distinguishing between credible and unreliable sources for high-quality journalism.
Digital security & Protection of sources
  • Awareness of surveillance risks and digital threats
  • Encryption and data protection techniques
  • Regulations on journalistic source confidentiality
  • Securing communications with encrypted tools
  • Protecting sources and sensitive documents
  • Managing leaks while ensuring anonymity
Ensuring safe journalistic practices in a world of increasing digital surveillance.
Audience engagement & Community building
  • Understanding digital audience behaviour
  • Personalisation vs. manipulation in AI-driven content
  • Ethics of engagement and moderation
  • Building trust and fostering meaningful discussions
  • Engaging with audiences through newsletters, podcasts, and forums
  • Strengthening reader loyalty through authentic storytelling
Enhancing journalism’s public impact by maintaining strong audience connections.
Emerging technologies & Journalism innovation
  • Trends in AI
  • Impact of immersive journalism
  • New storytelling formats
  • Experimenting with interactive storytelling
  • Adapting journalism to emerging platforms
  • Collaborating with developers and designers for innovative content
Future-proofing journalism by integrating new storytelling techniques.

This table serves as a starting point for further reflection and discussion, while providing insights into what journalists need to focus on in their ongoing learning.

# #