Think You Can Build a Game with AI? Think Again! - Danielle An & David Hoe, Meta

AI removes technical barriers

Tools like Meta's Banana and Meshy enable artists to code and programmers to generate 3D assets, unblocking creators who previously lacked specific skill sets.

The 'weekend game' phenomenon

Anyone can now build basic platformers or Tetris clones over a weekend, causing novelty fatigue as AI-prompted games increasingly look identical and lack differentiation.

Quality remains the barrier

While AI democratizes creation, distinguishing good games from bad ones still requires fundamental design principles, playtesting, and understanding human fun factors.

Key art as north star

Using a single anchor image to guide AI generation ensures visual consistency across assets and gameplay, preventing the disjointed look of generic prompted content.

The taste differentiator

When every game can look polished, human taste—knowing what specific audiences find fun—becomes the primary competitive advantage over technical execution.

Unified universe design

Successful AI games require intentional cohesion between UI, narrative, and art direction to feel like living worlds rather than assembled asset collections.

Living NPCs create unique sessions

Runtime LLMs enable non-scripted characters that make independent decisions (stealing, blocking, cooperating) based on personalities, ensuring no two gameplay sessions are identical.

Accessibility through adaptation

Games can dynamically adjust difficulty and mechanics to accommodate individual player limitations, such as modifying coordination challenges for disabled players in real-time.

Genre expansion

These technologies enable entirely new game categories previously impossible to build, with Meta's team prototyping complex multiplayer agentic games in just days rather than months.

The determinism crisis

Agentic systems across the entire stack—from user prompting to runtime decision-making to content serving—introduce non-deterministic behaviors that break traditional debugging and testing frameworks.

Parallel development revolution

AI compresses linear waterfall workflows (design → art → code) into parallel processes, reducing iteration cycles from months to hours and enabling rapid playtesting.

Economic and safety infrastructure

Scaling AI games requires solving token economy profitability for creators while implementing real-time content safety systems for runtime-generated material.