Other

Reporter

Based on 12 assessments · 3 from real users

34% Moderate risk

Average realistic automation risk across all Reporter profiles in the dataset.

Raw potential
72%
Realistic risk
34%
Research benchmark ?
63%

Raw potential = I/O automation ceiling. Realistic risk = adjusted for informal knowledge and social context. Research benchmark: Eloundou et al. (2023)

Distribution across 12 profiles. Middle half of Reporters score between 31% and 37%.

0% 50% 100%
p10 · 27%
39% · p90
On-screen work 55%

Done entirely on a computer. High AI exposure — these tasks are already in the automation zone.

In-person + screen 45%

Physical sensing, digital output — e.g. interviewing someone then writing a report. Partially protected.

Computer + action 0%

Computer input, real-world output — needs someone to act on it, not just software.

Fully in-person 0%

No computer required. Furthest from automation — the strongest human advantage.

3 synthetic profiles for a Reporter, ordered by automation exposure. Tab between them to see how task mix drives the score difference.

Task Time Type Exposure
Writing and editing news articles or reports based on gathered information, ensuring accuracy and clarity
25% DD 57%
Attending press conferences, public events, or meetings to observe and report on developments
deep expertise
25% AD 9%
Conducting interviews with sources (in-person, phone, or video calls) to gather firsthand information and quotes
deep expertise
19% AD 7%
Engaging with audiences through social media, responding to comments, or participating in live discussions
deep expertise
10% DD 15%
Researching topics by reading documents, databases, and online sources to gather background information for stories
9% DD 65%
Pitching story ideas to editors and collaborating with them to refine angles and focus
deep expertise
9% AD 8%
Verifying facts and cross-checking information with multiple sources to ensure credibility
deep expertise
1% DD 30%

Work as a Reporter? Map your specific role.

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