How much of this occupation’s work can be materially affected by current AI systems.
How likely exposure is to translate into reduced human demand.
Includes provisional estimates for AI adoption pressure and labour-market resilience. How this is measured
Confidence reflects task coverage, mapping and capability-evidence quality, and how much of the score rests on provisional inputs.
What is driving the score?
Occupation scores are built from the task mix—not a single prediction about a job title.
Where AI can do more
Routine, digitized, and highly repeatable tasks face the greatest pressure.
- Report news stories for publication or broadcast, describing the background and details of events.75
- Establish and maintain relationships with individuals who are credible sources of information.75
- Review written, audio, or video copy, and correct errors in content, grammar, or punctuation, following prescribed editorial style and formatting guidelines.75
- Revise work to meet editorial approval or to fit time or space requirements.75
Where people still matter
These tasks score lowest on automation feasibility—physical presence, judgement, accountability and real-world variability all resist end-to-end automation.
- Examine news items of local, national, and international significance to determine topics to address, or obtain assignments from editorial staff members.01
- Analyze and interpret news and information received from various sources to broadcast the information.02
- Coordinate and serve as an anchor on news broadcast programs.03
- Select material most pertinent to presentation, and organize this material into appropriate formats.04
- Research a story's background information to provide complete and accurate information.05
Related occupations
Occupations O*NET links to this one. Relatedness reflects shared work, not a claim that these roles are safer.
Editors
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Compare these careers →Poets, Lyricists and Creative Writers
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Compare these careers →Film and Video Editors
Related work
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Compare these careers →Adoption and labour-market outlook
Structural factors are kept separate from raw capability so you can see what actually resists automation. Adoption pressure and labour-market resilience are still provisional models—25% of this occupation’s replacement-risk weight rests on them.
O*NET 30.3 occupational data interpreted through the JobsVsAI capability, automation and structural-constraint models.
