AI Delegation Index

AI Delegation Index

What work could you hand off to an AI agent?

Video Game Designers

Strong

AI agents could handle several recurring digital workflows in this job, while people remain responsible for judgment and final decisions.

Where agents can help most

  1. 1

    Update game design documents for consistency

    Use an agent to gather recent decisions from production notes, chat threads, and review comments, then update the game design document so the mechanics, mission outline, and terminology stay aligned.

  2. 2

    Combine feedback into design decisions

    Use an agent to collect feedback from design, technical, art, and QA notes, then group the comments into changes, concerns, and items that still need discussion.

  3. 3

    Align story details with game features

    Use an agent to line up story notes, role-play mechanics, and character bios from the current build so the design docs stay consistent.

Search another job

O*NET-SOC 15-1255.01 · #15 of 923

Result context

How to read this result

Design core features of video games. Specify innovative game and role-play mechanics, story lines, and character biographies. Create and maintain design documentation. Guide and collaborate with production staff to produce games as designed.

National position
#15 of 923 occupations
Top 2% of occupations
Overall AI delegation potential
Strong
Potential of score-contributing workflows
Strong · 85/100
Meaningful work covered
78%

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

Update game design documents for consistency

How you could use an agent

Use an agent to gather recent decisions from production notes, chat threads, and review comments, then update the game design document so the mechanics, mission outline, and terminology stay aligned. The agent can flag contradictions and prepare a revision list, while you decide what should actually change in the design.

Where you stay involved

You review the edits, settle any conflicts between the notes and the current design, and approve the changes that belong in the document.

Review level: Medium

2

Combine feedback into design decisions

How you could use an agent

Use an agent to collect feedback from design, technical, art, and QA notes, then group the comments into changes, concerns, and items that still need discussion. The agent can compare the feedback with the current design record and draft a clean decision log, while you decide which suggestions to accept and which need more discussion.

Where you stay involved

You weigh the tradeoffs, resolve disagreements that are within your authority, and send any bigger conflicts to the producer or design director.

Review level: Medium

3

Align story details with game features

How you could use an agent

Use an agent to line up story notes, role-play mechanics, and character bios from the current build so the design docs stay consistent. The agent can spot mismatched names, broken references, or story points that do not fit the mechanics, then prepare a clean summary for you to revise with the writers and designers.

Where you stay involved

You review the story and feature changes, decide what belongs in the design, and pass licensed, sensitive, or publish-impacting content to the right person for approval.

Review level: High

Supporting analysis

Why this occupation's AI delegation potential is Strong

Underlying methodology score

81 / 100

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

Importance & frequency78
AI capability85
Digital actionability93
End-to-end leverage87
Safety & reversibility80
Meaningful-work coverage
78%
Physical-work modifier
Limited
Safety modifier
Limited
Qualitative judgment
No material constraint
O*NET task evidence
24 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.

Useful comparisons

Similar occupations

Compare side by side

Software Developers

AI delegation potential: Strong

Top 3% of occupations · #26

Software Quality Assurance Analysts and Testers

AI delegation potential: Strong

Top 2% of occupations · #14

Web Developers

AI delegation potential: Strong

Top 2% of occupations · #16

Computer Systems Analysts

AI delegation potential: Strong

Top 2% of occupations · #11