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Data Journalist
Based on 21 assessments · 1 from real users
36%
Moderate risk
Average realistic automation risk across all Data Journalist profiles in the dataset.
Score spread
Distribution across 21 profiles.
Middle half of Data Journalists score between 31% and 40%.
0%
50%
100%
Task breakdown by work type
Done entirely on a computer. High AI exposure — these tasks are already in the automation zone.
Physical sensing, digital output — e.g. interviewing someone then writing a report. Partially protected.
Computer input, real-world output — needs someone to act on it, not just software.
No computer required. Furthest from automation — the strongest human advantage.
Typical tasks
3 synthetic profiles for a Data Journalist, ordered by automation exposure.
Tab between them to see how task mix drives the score difference.
Fact-checking numbers, verifying sources, cross-referencing claims against original documents and expert interviews
deep expertise
social element
26%
AD
11%
Writing the story—structuring narrative, drafting explanatory text, crafting headlines, and revising for clarity and impact
deep expertise
social core
22%
DD
23%
Writing SQL queries, using Python/R scripts, or Excel analysis to explore patterns, aggregate data, and calculate statistics
17%
DD
64%
Interviewing sources (experts, stakeholders, affected people) and synthesizing their insights into narrative context
deep expertise
social core
15%
AA
6%
Acquiring, cleaning, and organizing raw datasets (CSV files, APIs, databases, government records, surveys)
11%
DD
60%
Collaborating with editors, designers, and other journalists to refine story angle, resolve disputes, and meet publication deadlines
deep expertise
social core
3%
AA
7%
Designing and creating visualizations (charts, maps, interactive graphics) to communicate findings clearly
deep expertise
social element
3%
DD
31%
Writing SQL queries, using Python/R scripts, or Excel analysis to explore patterns, aggregate data, and calculate statistics
29%
DD
48%
Writing the story—structuring narrative, drafting explanatory text, crafting headlines, and revising for clarity and impact
deep expertise
social core
26%
DD
24%
Acquiring, cleaning, and organizing raw datasets (CSV files, APIs, databases, government records, surveys)
11%
DD
63%
Fact-checking numbers, verifying sources, cross-referencing claims against original documents and expert interviews
10%
AD
24%
Interviewing sources (experts, stakeholders, affected people) and synthesizing their insights into narrative context
deep expertise
social core
8%
AA
7%
Collaborating with editors, designers, and other journalists to refine story angle, resolve disputes, and meet publication deadlines
deep expertise
social core
7%
AA
0%
Designing and creating visualizations (charts, maps, interactive graphics) to communicate findings clearly
6%
DD
74%
Acquiring, cleaning, and organizing raw datasets (CSV files, APIs, databases, government records, surveys)
20%
DD
67%
Writing SQL queries, using Python/R scripts, or Excel analysis to explore patterns, aggregate data, and calculate statistics
19%
DD
88%
Designing and creating visualizations (charts, maps, interactive graphics) to communicate findings clearly
19%
DD
43%
Fact-checking numbers, verifying sources, cross-referencing claims against original documents and expert interviews
deep expertise
social element
14%
AD
17%
Writing the story—structuring narrative, drafting explanatory text, crafting headlines, and revising for clarity and impact
deep expertise
social element
14%
DD
26%
Interviewing sources (experts, stakeholders, affected people) and synthesizing their insights into narrative context
deep expertise
social core
9%
AA
1%
Collaborating with editors, designers, and other journalists to refine story angle, resolve disputes, and meet publication deadlines
deep expertise
social core
3%
AA
3%
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