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Chief Marketing Officer

Based on 10 assessments

14% Low risk

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

Raw potential
46%
Realistic risk
14%
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 Chief Marketing Officers score between 11% and 16%.

0% 50% 100%
p10 · 10%
19% · p90
On-screen work 41%

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 17%

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

Fully in-person 42%

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

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

Task Time Type Exposure
Campaign oversight and creative direction (reviewing deliverables, feedback on messaging, creative briefs)
deep expertise
26% DA 7%
External relationship management (speaking engagements, agency partnerships, industry events, customer advisory boards)
some context needed
22% AA 0%
Team leadership and performance management (hiring, mentoring, 1-on-1s, performance reviews)
deep expertise
19% AA 5%
Strategy development and long-term planning (market positioning, brand direction, annual marketing roadmap)
deep expertise
11% DD 26%
Budget allocation and financial oversight (approving spend, ROI analysis, vendor negotiations)
some context needed
11% DD 36%
Executive stakeholder communication (board updates, C-suite alignment meetings, cross-functional collaboration)
deep expertise
8% AA 0%
Market and competitive analysis (reading reports, interpreting customer data, identifying trends)
1% DD 52%

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