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Compare roles · AI exposure side by side

Editors

Put up to three roles next to each other: the exposure figure, the inputs behind it, the window, what is driving change, and where the work moves. Every figure comes from the same method, so the gap between two scores means something.

Editors

Exposure

Editors
72

High exposure

More exposed than 91% of 250 roles

Window · adoption

1–4 yrs

until most of the change has landed

Very High adoption

In one line

AI now handles copy-editing, proofreading, style checks and first-draft headlines, leaving editors to judge, commission and take responsibility.

Inputs behind the score · scaled 0–100

Task applicability

74

Observed usage

33

Official exposure tier

100

Labour-market trajectory

n/a

Published adoption rating

85

What is driving it

  1. Automated copy-editing and proofreading
  2. AI in the content-management system
  3. Machine translation
  4. Generative first drafts
  5. Cost pressure in publishing
  6. Growing demand for verification

Skills worth building

  1. Structural and developmental editing
  2. Verification and source checking
  3. AI tool supervision
  4. Media law and ethics
  5. Commissioning and writer management
  6. Audience and data literacy

Tools in the work now

  1. Grammarly
  2. Microsoft 365 Copilot
  3. Claude
  4. PerfectIt
  5. DeepL

Where the work moves

Copywriters76

More exposed

Content Creators/Influencers61

Different skills, growing

Public Relations Specialists73

Complementary, less exposed

Full report

Read Editors

Scores are the CareerGuard Exposure Index v2: the same five inputs and weights for every role, so a gap of ten points means the same thing wherever it appears. How scores are built.