AI Trace
Productivity AutomationInternal OnlyVerified

Reviewed and published by trentmaziarz, March 19, 2026. Discovered and drafted by our automated research pipeline.

EA built a machine learning–assisted toolkit that reduced the time to build a single stadium in EA Sports College Football 25 from roughly six months to about six weeks. This allowed the team to deliver over 150 unique college football stadiums in a single game for the first time.

Details

Presented at GDC 2025, the Stadium Creation Toolkit uses procedural generation rules to automate structural elements shared across stadiums — seating geometry, lighting rigs, field markings — while preserving artist control over unique details. Combined with the HeadStart player-face tool (Practice 7), it underpinned a game CEO Wilson said could not have been made without AI. College Football 25 became one of EA's best-selling titles of 2024.

Products affected

EA Sports College Football 25Madden NFL 25

Sources & Evidence

Cite this record

Trace Foundation. (2026). Electronic Arts (EA): EA built a machine learning–assisted toolkit that reduced the time to build a single stadium in EA Sports College Football 25 from roughly six months to about six weeks. This allowed the team to deliver over 150 unique college football stadiums in a single game for the first time (data as of 2026-03-19) [Data set record]. AI Trace. https://www.aitrace.org/r/practice/a97bab62-f4ae-4f84-8bd7-6e1bec368a4c. Accessed October 13, 2026.

Stable link
https://www.aitrace.org/r/practice/a97bab62-f4ae-4f84-8bd7-6e1bec368a4c
Data as of
March 19, 2026
Last verified
June 6, 2026

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