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A/KAI Kills What?

Dossier #9 // career autopsy

Lower exposure Low confidence

Editors

Category: Arts, design & media · SOC 27-3041.00 · Industry: Media & creative

AI Exposure

31/100
0.0

Low exposure

Last updated

12 Oct 2026

17 hours ago · sources: BLS OES (approx) · O*NET

Evidence

2 sources

19 core tasks shown · 3 secondary hidden

Verdict

Editors Lower exposure: only 5 of 19 core tasks show high task automation potential : exposure 31/100 (low exposure).

No model has published evidence mapped to this occupation yet - the score comes from generic task assessment.

Share this verdict:

Score breakdown

Why this score?

Every component is stored with the score row and can be recomputed from the evidence table.

AI Exposure (composite)31/100

Methodology 2026-09-a · score v1.0 · input hash 53b14fa50dad4cf6

AI capability exposure0/100

Strength of current models on the capabilities this job's tasks require.

Task automation potential42/100

Task-level exposure, weighted by task importance. A component of the headline, not the headline itself.

Observed AI adoption68/100

Evidence that AI is actually being used for this work.

Labour-market signal0/100

Observed changes in postings, employment or earnings.

Evidence strength48/100

Quantity and source quality of the evidence behind the score.

2 evidence item(s) contribute. Calculated 17 hours ago. 12 Oct 2026 UTC.

Overview

Plan, coordinate, revise, or edit written material. May review proposals and drafts for possible publication.

Employment

≈90,000

approx. BLS OES

Median wage

≈$75,000

approx. BLS OES

Tasks tracked

22

linked to this occupation

Employment and wage values are approximate reference figures from the BLS Occupational Employment and Wage Statistics programme, stored with an approximation flag. Verify against the O*NET record and BLS before quoting them.

Tasks

Task-level automation exposure

All tasks →

Core tasks only. Exposure describes how much of the task output current AI can produce or substantially assist - not whether the task disappears. Secondary shared-baseline edges are hidden until per-occupation curation is complete.

Evidence

Evidence trail

2 attributed item(s). Confidence reflects study design: randomised and production deployments score higher than platform observations, which score higher than projections.

  1. task automationincreasesconfidence 92/100 · magnitude 8213 Jul 2023

    In a randomised experiment on professional writing tasks, ChatGPT reduced time taken by about 40% and raised graded output quality by about 18% relative to the control group.

    Direct experimental evidence for text-production tasks specifically. It supports a high automation component for routine writing, and says nothing about jobs that also involve judgement, sourcing or accountability.

    Source: Noy & Zhang — Experimental evidence on the productivity effects of generative AI (Science) · Updated 13 Jul 2023

  2. adoptionincreasesconfidence 70/100 · magnitude 6827 Feb 2025

    Aggregated and anonymised Claude conversation data mapped to O*NET tasks shows that usage is concentrated in a small number of occupations and tasks — notably software development, writing and technical analysis — and that a substantial share of usage is augmentation rather than full automation of a task.

    This is the primary *observed adoption* input, and it is deliberately kept separate from capability. A model being able to do a task does not mean firms are using it. Usage data is self-selected (Claude users) and therefore over-represents digital and technical occupations.

    Source: Anthropic Economic Index · Updated 27 Feb 2025

Historical trend

Exposure over time

Backcast series: recomputed at quarterly checkpoints using only the models and evidence published by each date.

Editors AI exposure backcast, quarterly from 2021Reconstructed exposure series with 23 checkpoints. Current value 31 out of 100. 14 observed snapshots recorded since tracking began.1000502021-01-012026-07-0101038
Score · 23 points · 2021-01-01 to 2026-07-01

Reconstruction, not measurement. 14 observed daily snapshot(s) exist for this occupation; the earlier part of the curve is derived by applying the current methodology to the model releases and published evidence available at each past date.

Recent events

Signals affecting this occupation

  1. Occupation score change
    IMPACT 100

    editor exposure decreased 33.0 points

    AI Exposure Score moved from a previous calculation to 31/100 under methodology v1.0. 2 evidence item(s) contributed.

    Verified signalConfidence:50 · lowVerified by AIKillsWhat
  2. Occupation score change
    IMPACT 10

    editor exposure increased 1.0 points

    AI Exposure Score moved from a previous calculation to 64/100 under methodology v1.0. 2 evidence item(s) contributed.

    Verified signalConfidence:50 · lowVerified by AIKillsWhat
  3. AI adoption signal
    IMPACT 68

    Measured AI usage concentrated in software development, writing and analysis

    Aggregated and anonymised Claude conversation data mapped to O*NET tasks shows that usage is concentrated in a small number of occupations and tasks — notably software development, writing and technical analysis — and that a substantial share of usage is augmentation rather than full automation of a task.

    Enterprise deploymentConfidence:70 · moderateVerified by AIKillsWhat
  4. Research published
    IMPACT 82

    Writing tasks completed 40% faster with 18% higher quality ratings

    In a randomised experiment on professional writing tasks, ChatGPT reduced time taken by about 40% and raised graded output quality by about 18% relative to the control group.

    Labor researchConfidence:92 · highVerified by AIKillsWhat

Related

Other occupations in this industry