Will AI replace Video Game Designers?

Many of your tasks are within reach of AI. The role will change, so it pays to act now.

Task exposure to today's AI

50/100

High exposure

This is the occupation's typical task mix. Your own score can be up to 30 points higher or lower depending on how you work: routine share, people contact, judgment and how much you already use AI.

Get your personal score

Will AI replace Video Game Designers?

Not entirely. Today's AI tools can take on about 50% of the typical work in this occupation, mostly: develop and maintain design level documentation, including mechanics, guidelines, and mission outlines. The parts that stay human include: Balance and adjust gameplay experiences to ensure the critical and commercial success of the product.; Devise missions, challenges, or puzzles to be encountered in game play.; Develop and maintain design level documentation, including mechanics, guidelines, and mission outlines..

People who learn to use AI for the automatable parts keep the edge. The 3-phase plan below shows where to start.

Which tasks AI can take on

The largest tasks in this occupation, their share of the working week, and how much of each today's AI tools can do.

TaskAutomatable

Develop and maintain design level documentation, including mechanics, guidelines, and mission outlines. 62%

Document all aspects of formal game design, using mock-up screenshots, sample menu layouts, gameplay flowcharts, and other graphical devices. 57%

Devise missions, challenges, or puzzles to be encountered in game play. 53%

Create core game features, including storylines, role-play mechanics, and character biographies for a new video game or game franchise. 53%

Create gameplay prototypes for presentation to creative and technical staff and management. 47%

Balance and adjust gameplay experiences to ensure the critical and commercial success of the product. 42%

+ 18 more tasks (56% of the week) in the full test.

Your human edge

Balance and adjust gameplay experiences to ensure the critical and commercial success of the product.
Devise missions, challenges, or puzzles to be encountered in game play.
Develop and maintain design level documentation, including mechanics, guidelines, and mission outlines.

AI tools to try

Coding assistants (GitHub Copilot, Claude Code, Cursor)ChatGPT / Claude for design and debuggingAI test and documentation generators

Related roles

Web and Digital Interface Designers
Special Effects Artists and Animators
Graphic Designers

A 3-phase AI learning plan

Phase 1

Pair programming with AI

Use a coding assistant for boilerplate, tests and refactoring.
Give it context: project rules, examples, small steps.
Review AI code like a colleague's pull request.

Project

Build a playable prototype of one new game mechanic in a week using a coding assistant for boilerplate and unit tests, and review every generated script like a teammate's pull request.

Phase 2

AI in your systems

Call an LLM API with structured output.
Retrieval over your own documents or data.
Evaluate quality, cost and latency before shipping.

Project

Build a tool that calls an LLM API with a structured JSON schema to generate 50 side-quest and puzzle variants from your design bible via retrieval, then log quality, cost and latency per quest.

Phase 3

Production-grade AI

Evals and regression tests for prompts.
Security: prompt injection, data leaks, permissions.
Monitoring and cost control.

Project

Add an eval suite of 30 test prompts plus injection and lore-leak checks to your quest generator, and set a monthly token budget with monitoring before letting the team use it.

Take the free 11-question test