InnoGames runs Sunrise Village on AI for a year - players never noticed
Summary
InnoGames quietly switched all content generation for Sunrise Village to AI roughly one year ago
The cozy farming mobile game went from a 25-person team to 2-4 people - without shutting down
Zero player complaints about quality changes - engagement and retention remained stable
The move saved a financially underperforming title generating ~$160K-$190K/month (pre-costs)
"Without AI, the game would have been cancelled. With AI, we can keep it running profitably with a minimal team while maintaining the high quality of content that players expect."
01
The economics behind the switch - survival over shutdown
Sunrise Village revenue peaked a couple of years ago and has roughly halved since
Monthly revenue estimated at $160K-$190K (AppMagic) - before store cuts, taxes, marketing, and salaries
A 25-person team was no longer justifiable for a financially underperforming title
The alternative was shutting the game down - increasingly unpopular with players (see: Stop Killing Games)
"Traditionally, the answer would be to shut down unprofitable games - but that's becoming increasingly unpopular with players."
02
How the AI content pipeline was built - the "AI Stage Designer"
Initial build took approximately 2 months of dedicated engineering effort from 1-2 engineers
The toolset is custom-built and integrated directly into Unity, using LLMs for story and level creation
The pipeline covers 6 steps: story and quests, intelligent balancing, asset discovery, layout and placement, object spawning, and cutscene generation
Natural language narratives are converted into structured quest data with auto-generated triggers and validation
A knowledge base of ~100 game items powers automatic balancing of XP rewards, construction requirements, and difficulty scaling
Sunrise Village has roughly 10,000 visual assets - AI auto-labels all of them for instant searchability
"What used to take hours of manual browsing now takes seconds. You can search for 'cosy fireplace' or 'autumn tree' and immediately find relevant assets."
Every level still goes through full playtesting and final human tweaking before release
03
AI model strategy - stability over cutting edge
Core pipeline is built on OpenAI GPT-4o - acknowledged as "already quite outdated" but chosen for stability
InnoGames uses a model-agnostic approach across the broader organization - no vendor lock-in
Anthropic Claude is preferred for engineering tasks; Google Gemini leads for visual content analysis
"Stability and predictability matter more than being cutting-edge - each model change requires extensive testing, as different versions can behave quite differently."
AI also plays a significant role in localization workflows across InnoGames titles
04
Artist perspective - evolving roles, not elimination
The 7-person art team moved from Sunrise Village to new mobile title Cozy Coast - reception was positive
Artists now use AI as a starting point: generating base images to photobash, refine, and polish
Concept artists are still being hired - including a freelancer for Cozy Coast
The concept artist role evolved toward quality control: spotting AI errors in shadows, lighting, proportions, and style consistency
Custom model training via Scenario AI on InnoGames' own asset library significantly improved style consistency
"It definitely made us more efficient - and when I see how fast we were able to move on Cozy Coast compared to the time it took us on Sunrise Village to get to the same point, it clearly allowed us to do more."
"It's legitimate to be a bit scared by how things are moving forward, because there's still a lot of unknowns."
05
Internal pushback and how it was managed
Employee concerns centered on job security and the risk of becoming "prompt operators" rather than skilled craftspeople
InnoGames responded with a clear public commitment: productivity gains fund more projects, not headcount reductions
84.2% of game industry respondents in a GamesIndustry.biz survey said no amount of AI-generated content is acceptable in game development
InnoGames' approach frames AI as a learning accelerator - a tool to broaden expertise, not replace it
06
Mobile vs. console - two very different AI tolerance levels
Player backlash against AI has been significant in PC and console markets - almost absent in mobile
Mobile's scale demands (constant content, heavy UA spend) make AI integration a practical necessity
PikPok CEO Mario Wynands notes AI is "very clearly having a growing presence" especially in UA creative
High-volume areas seeing aggressive AI adoption: localization, asset creation, UA campaigns, market analysis, hyper-casual prototyping
"Those who don't adopt will find themselves at a severe competitive disadvantage."
07
What comes next - AI as standard mobile practice
InnoGames is expanding the AI content generation pipeline and asset labelling tool to other titles beyond Sunrise Village
AI is now being applied to actively growing games - not only end-of-life titles
Lehr projects AI-assisted content generation will become standard across the mobile industry within 2 years
The company's stated goal is more games, more content, longer title lifespans - using the same or smaller teams
Open-source models are 6-12 months behind frontier models - giving InnoGames a reliable fallback if provider pricing shifts
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COMPILED BY GAMES ATLAS EDITORIAL
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