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Marketing Consultant

Based on 10 assessments · 1 from real users

36% Moderate risk

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

Raw potential
77%
Realistic risk
36%
Research benchmark ?
58%

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

Distribution across 10 profiles. Middle half of Marketing Consultants score between 31% and 39%.

0% 50% 100%
p10 · 28%
44% · p90
On-screen work 83%

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

In-person + screen 0%

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

Computer + action 0%

Computer input, real-world output — needs someone to act on it, not just software.

Fully in-person 17%

No computer required. Furthest from automation — the strongest human advantage.

3 synthetic profiles for a Marketing Consultant, ordered by automation exposure. Tab between them to see how task mix drives the score difference.

Task Time Type Exposure
Create written content (proposals, case studies, email campaigns, social media posts, blog articles)
30% DD 45%
Client meetings and calls (discovery, status updates, presenting recommendations, relationship management)
deep expertise
23% AA 0%
Analyze campaign performance data and prepare reports (metrics review, dashboards, insights interpretation)
17% DD 45%
Develop marketing strategy and campaign plans (research, competitive analysis, goal-setting, messaging frameworks)
deep expertise
13% DD 19%
Coordinate with design, media, and external vendors (briefs, feedback, project management, approvals)
deep expertise
12% DD 18%
Research market trends, audience insights, and competitor activity
2% DD 66%
Manage budgets, track spending, and optimize media spend allocation
0% DD 83%

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