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Compare qualitative AI Delegation Potential ratings, national standing, and the five analytical drivers behind each assessment.

O*NET-SOC 17-2121.00

Marine Engineers and Naval Architects

AI Delegation Potential

Targeted

Top 53% of occupations · #482 of 923

Importance & frequency64
AI capability70
Digital actionability81
End-to-end leverage66
Safety & reversibility57

Underlying methodology score: 60 / 100

Physical modifier
Limited
Safety modifier
Moderate

Top workflow

Review trial data and suggest design changes

Use an agent to gather analytic results, compare them with design specifications and prior acceptance data, identify mismatches, and assemble a traceable change summary for engineering review.

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O*NET-SOC 43-6014.00

Secretaries and Administrative Assistants, Except Legal, Medical, and Executive

AI Delegation Potential

Strong

Top 1% of occupations · #2 of 923

Importance & frequency77
AI capability87
Digital actionability95
End-to-end leverage90
Safety & reversibility84

Underlying methodology score: 84 / 100

Physical modifier
Limited
Safety modifier
Limited

Top workflow

Update office records and flag missing information

Use an agent to gather source information from forms or emails, enter it into the database, compare key fields against the source document, correct obvious formatting issues, and note incomplete data for follow-up.

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