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Marketing

Marketing Assistant

Based on 11 assessments · 2 from real users

34% Moderate risk

Average realistic automation risk across all Marketing Assistant profiles in the dataset.

Raw potential
74%
Realistic risk
34%
Research benchmark ?
76%

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

Distribution across 11 profiles. Middle half of Marketing Assistants score between 28% and 39%.

0% 50% 100%
p10 · 26%
45% · p90
On-screen work 73%

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

In-person + screen 1%

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

Computer + action 26%

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 Marketing Assistant, ordered by automation exposure. Tab between them to see how task mix drives the score difference.

Task Time Type Exposure
Coordinate with designers and vendors on marketing materials (ads, banners, collateral)
deep expertise
31% DA 2%
Research competitors and market trends, compile findings into reports
deep expertise social element
27% DD 34%
Create social media content (writing captions, scheduling posts, responding to comments)
deep expertise
15% DD 21%
Answer customer inquiries and qualify leads via phone, email, or chat
8% DD 47%
Manage email marketing campaigns (segmenting lists, drafting newsletters, tracking opens/clicks)
7% DD 46%
Support event planning and promotion (logistics, attendee follow-up, documentation)
some context needed
6% DA 16%
Track campaign performance metrics and update dashboards/spreadsheets
1% DD 94%

Work as a Marketing Assistant? Map your specific role.

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