At risk / Writer and Author (incl. Copywriter)
SOC 27-3043.00

Writer and Author (incl. Copywriter)

VerdictHigher Risk — changing now
Signal 01 · structural exposure
73
/ 100

This occupation scored 0.

Signal 02 · real-world AI usage
High
band, not a number

Based on Microsoft's "Working with AI" study of real Copilot conversations mapped to O*NET tasks (arXiv 2507.07935): Writers and Authors scored 0.45 on AI applicability, the highest score among the occupations in this pilot batch and nearly three standard deviations above the cross-occupation mean (0.159, stdev 0.098) across all 785 SOC codes studied — banded here as High real-world AI usage relative to other occupations.

Corroborating signal from the Anthropic Economic Index (Claude.ai/API conversations, a different product and userbase than the Microsoft data above): this occupation shows observed exposure of 0.25, above the 75th percentile of the 756 occupations AEI tracks (dataset mean 0.077, 95th percentile 0.385) — a real, above-average signal, though lower than the Microsoft score, which is worth noting rather than smoothing over.

What this is not
Neither reading measures whether any single writer and author (incl. copywriter) has lost work to AI. That data does not exist anywhere yet — both signals describe tasks, not headcount. This page is not a prediction that this job disappears.
How we calculated this →

What a writer and author (incl. copywriter) actually does

Writers and authors, including copywriters, develop written content for advertising, marketing, publishing, and media. The job spans developing ad campaigns and slogans, writing sales letters, articles, and promotional material, and producing web content, scripts, and long-form pieces depending on the specialization. A typical project starts with research into a subject, audience, or brand, moves into drafting, and then goes through rounds of editing and revision based on feedback from a client, editor, or creative director.

Copywriters in particular spend much of their time adapting a core message for different formats and audiences — the same product benefit rewritten as a headline, a product page, and a social caption — while authors and journalists work on longer, more research-intensive pieces. Across the specializations, the work is built around researching a topic, finding the right words and structure to communicate it to a specific audience, and revising based on feedback until the piece meets the brief.

Why it reads this way

This occupation scored 0. 45 on Microsoft's AI applicability scale — the highest of any occupation in our pilot at-risk batch, and nearly three standard deviations above the cross-occupation average of 0. 159 — placing it firmly in the High usage band. That tracks with what's publicly visible: generative AI writing tools have moved fastest and most visibly into marketing copywriting, SEO content, and first-draft article generation of any white-collar field.

The Anthropic Economic Index shows an observed exposure of 0. 25 for this occupation, above the 75th percentile of the 756 occupations it tracks, though notably lower than the Microsoft score — a reminder that Claude usage specifically and AI-tool usage broadly aren't the same measurement.

BLS still projects modest employment growth for this occupation through 2034, which is worth being honest about: it suggests AI tools are being used alongside human writers rather than eliminating the occupation outright so far, even as the intensity of AI usage within the role — drafting, editing, ideation — is unusually high compared to most other jobs we track.

Skills this role draws on

CopywritingResearchEditing and revisionAudience adaptationContent strategyBrand voice
Pay & demand
$44,310–$139,870
10th–90th percentile, USD/year
Demand
Medium
Growth outlook
Stable
Projected growth
4% (2024-2034)

Source: U.S. Bureau of Labor Statistics OEWS wage data (May 2024), accessed via O*NET OnLine wage report, SOC 27-3043.00

Last updated: August 2026Source: U.S. Bureau of Labor Statistics OEWS wage data (May 2024), accessed via O*NET OnLine wage report, SOC 27-3043.00

Data sources & methodology

Salary data: U.S. Bureau of Labor Statistics OEWS wage data (May 2024), accessed via O*NET OnLine wage report, SOC 27-3043.00.

Task descriptions: Based on O*NET occupational analysis (27-3043.00).

Real-world AI usage band: Microsoft's "Working with AI" study of Bing Copilot conversations mapped to O*NET tasks (arXiv 2507.07935), and corroborating data from the Anthropic Economic Index.

Growth projections: 4% (2024-2034), based on BLS Occupational Outlook Handbook.

Learn more about our methodology