News analysts, reporters, and journalists

Review stories or articles for accuracy, style, and grammar

AI grammar checkers, style guides, and fact-checking tools can now catch most errors in spelling, grammar, AP style compliance, and flag factual inconsistencies against databases. This task is already heavily automated with human spot-checking, and will approach full automation within 24 months.

BLS evidence: They review stories or articles for accuracy, style, and grammar.

Edit interviews and recordings to create cohesive stories or reports

AI video and audio editing tools can now automatically identify key segments, remove filler words, balance audio levels, and assemble rough cuts based on transcripts and content analysis. Human review ensures editorial coherence and narrative flow, but the technical editing labor is largely automatable.

BLS evidence: These workers often edit interviews and other recordings to create a cohesive story or report.

Write stories or articles for newspapers, magazines, websites, or create scripts for broadcast

Current LLMs can draft coherent news articles and broadcast scripts from source material, quotes, and story outlines at quality approaching or matching median journalists. Human review for accuracy, tone, and editorial judgment is still standard practice, but the drafting labor is substantially automated.

BLS evidence: They write stories or articles for newspapers, magazines, or websites and create scripts to be read on television or radio.

Update stories or articles as new information becomes available

AI can monitor news feeds, detect breaking developments related to existing stories, and draft updated paragraphs or sections incorporating new information. Journalists still verify facts and make editorial calls about prominence, but the mechanical updating work is highly automatable.

BLS evidence: They must stay up to date with developments related to a content item and update the online version with current information, if necessary.

Research topics assigned by editors or news directors

AI can autonomously search databases, academic sources, social media, and public records to compile background information on assigned topics. However, identifying which sources are credible in novel contexts and recognizing what's genuinely newsworthy still benefits from human judgment, placing this in the 'AI does most autonomously with batch review' range.

BLS evidence: News analysts, reporters, and journalists typically research topics that an editor or news director has assigned to them.

Maintain social media presence to cover events and engage audiences

AI can draft social media posts, schedule content, monitor engagement metrics, and even generate responses to common audience questions. However, handling sensitive audience interactions, maintaining authentic voice, and making real-time editorial decisions about breaking news coverage still require human oversight.

BLS evidence: Many use social media to cover live events, provide additional information for readers and viewers, promote their stations and newscasts, and engage with their audiences.

Analyze and interpret information to increase audience understanding of news

AI can synthesize data, identify patterns, and generate explanatory content, but determining what context matters most to diverse audiences and framing analysis with appropriate editorial perspective requires significant human oversight. AI assists substantially but humans remain load-bearing for interpretive judgment.

BLS evidence: They analyze and interpret information to increase audience understanding of the news.

Investigate new story ideas and pitch them to editors

AI can scan trending topics, identify data anomalies, and suggest story angles based on patterns, but recognizing what will resonate with specific audiences, what's genuinely novel versus derivative, and crafting compelling pitches requires substantial human editorial intuition and institutional knowledge.

BLS evidence: They investigate new story or article ideas and pitch ideas to editors.

Interview people who have information, analysis, or opinions about a story

Conducting interviews requires real-time rapport building, reading nonverbal cues, asking adaptive follow-up questions based on subtle responses, and establishing trust—especially with reluctant sources. AI can generate question lists and transcribe, but the core interpersonal dynamic remains human-dependent.

BLS evidence: They interview people who have information, analysis, or opinions about a story or article.

Set up and conduct interviews for television or radio broadcast

Setting up interviews involves logistical coordination (which AI can assist with), but conducting broadcast interviews requires physical presence, operating camera/audio equipment in varied locations, managing live technical issues, and real-time interpersonal engagement that current AI+robotics cannot handle.

BLS evidence: Those who work in television and radio set up and conduct interviews, which can be broadcast live or recorded for future broadcasts.

Develop relationships with experts and contacts for tips and leads

Building trusted relationships with sources requires repeated in-person or voice interactions, demonstrating reliability over time, navigating sensitive interpersonal dynamics, and establishing mutual credibility. This is fundamentally a human social task that AI cannot replicate in any meaningful way.

BLS evidence: They develop relationships with experts and contacts who provide tips and leads on stories or articles.