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

O*NET-SOC 17-2199.11

Solar Energy Systems Engineers

AI Delegation Potential

Moderate

Top 39% of occupations · #357 of 923

Importance & frequency75
AI capability81
Digital actionability81
End-to-end leverage67
Safety & reversibility58

Underlying methodology score: 66 / 100

Physical modifier
Limited
Safety modifier
Moderate

Top workflow

Optimize solar performance with simulations

Use an agent to build or update the PV performance model, input site-specific climate and configuration data, run sensitivity cases, and compare design alternatives against performance goals.

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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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