AI Delegation Index

AI Delegation Index

What work could you hand off to an AI agent?

Database Administrators

Moderate

AI agents could support several recurring tasks in this job, while people continue to lead decisions and handle exceptions.

Where agents can help most

  1. 1

    Review database access and adjust privileges

    Use an agent to compare current database accounts against approved role lists, then draft a change sheet showing which access grants look correct and which ones need review.

  2. 2

    Summarize evidence for database slowdowns and tune settings

    Use an agent to collect performance stats, recent change notes, and test results, then draft a likely cause summary for a slow database and a short list of tuning ideas to try in a safe window.

  3. 3

    Apply database changes and verify results

    Use an agent to turn a change request into a step-by-step database change checklist, including pre-checks, test notes, and a place to record results before and after the update.

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O*NET-SOC 15-1242.00 · #150 of 923

Result context

How to read this result

Administer, test, and implement computer databases, applying knowledge of database management systems. Coordinate changes to computer databases. Identify, investigate, and resolve database performance issues, database capacity, and database scalability. May plan, coordinate, and implement security measures to safeguard computer databases.

National position
#150 of 923 occupations
Top 17% of occupations
Overall AI delegation potential
Moderate
Potential of score-contributing workflows
Strong · 78/100
Meaningful work covered
67%

The overall rating combines how useful the best agent workflows are with how much of the occupation they address. It is not an estimate of job automation or replacement.

Recommended agent uses

3 workflows you could delegate to AI

1

Review database access and adjust privileges

How you could use an agent

Use an agent to compare current database accounts against approved role lists, then draft a change sheet showing which access grants look correct and which ones need review. It can also keep a log of who requested access and what was changed so you have a clean record for approval.

Where you stay involved

You review the access request, decide whether it fits policy, approve or reject changes, and handle any sensitive privilege decisions yourself.

Review level: High

2

Summarize evidence for database slowdowns and tune settings

How you could use an agent

Use an agent to collect performance stats, recent change notes, and test results, then draft a likely cause summary for a slow database and a short list of tuning ideas to try in a safe window. It can keep the evidence together so you can decide which fix is worth testing next.

Where you stay involved

You pick the tuning change, test it, confirm whether it helped, and decide if the issue needs code work, vendor help, or a different approach.

Review level: Medium

3

Apply database changes and verify results

How you could use an agent

Use an agent to turn a change request into a step-by-step database change checklist, including pre-checks, test notes, and a place to record results before and after the update. It can also compare the test output with the expected behavior so you can spot problems faster.

Where you stay involved

You make the change, review the test results, and decide whether to promote it, roll it back, or stop and get a human lead involved.

Review level: High

Supporting analysis

Why this occupation's AI delegation potential is Moderate

Underlying methodology score

73 / 100

This technical score determines the qualitative rating; it is not an estimate of the share of the occupation that can be automated.

Importance & frequency69
AI capability82
Digital actionability89
End-to-end leverage81
Safety & reversibility69
Meaningful-work coverage
67%
Physical-work modifier
Limited
Safety modifier
Limited
Qualitative judgment
No material constraint
O*NET task evidence
18 tasks

O*NET 31.0 · methodology 3.3.0. Every workflow passes an action-level physical-execution and protected human-and-veterinary clinical-action gate. Documentation workflows must own a complete digital loop and use digital task evidence only; support-only workflows are disclosed separately and excluded from scoring. Artistic, editorial, normative, and policy-dependent work receives a transparent human-judgment constraint. National ranking within 923 scored O*NET occupations under methodology 3.3.0.

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