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Management

Operations Manager

Based on 10 assessments · 1 from real users

27% Moderate risk

Average realistic automation risk across all Operations Manager profiles in the dataset.

Raw potential
55%
Realistic risk
27%
Research benchmark ?
38%

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 Operations Managers score between 24% and 28%.

0% 50% 100%
p10 · 22%
34% · p90
On-screen work 42%

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

In-person + screen 15%

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

Computer + action 29%

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

Fully in-person 15%

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

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

Task Time Type Exposure
Resolve real-time operational issues (equipment breakdowns, staffing gaps, supply chain delays, quality problems) and implement quick fixes
deep expertise
27% DA 1%
Develop and refine standard operating procedures, process documentation, and training materials for operational workflows
deep expertise social element
22% AD 16%
Attend and lead operational meetings (standup, shift handoffs, cross-functional sync) to coordinate between teams and communicate priorities
deep expertise
19% AA 2%
Conduct performance reviews, provide coaching feedback, and address disciplinary or performance issues with direct reports
deep expertise
13% DA 5%
Prepare reports and dashboards for leadership showing KPIs, trends, budget status, and recommendations for improvement
6% DD 74%
Manage scheduling, shift assignments, and workforce planning to balance coverage with budget constraints
5% DD 46%
Communicate with external partners (vendors, contractors, customers, regulators) about operational status, compliance, or service delivery
deep expertise
4% DA 12%
Review daily/weekly operational metrics (production output, quality rates, staffing levels, safety incidents) and identify variances from targets
1% DD 50%

Work as a Operations Manager? Map your specific role.

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