
What AI Is Really Doing to Games and the Game Industry
Written by Michail Katkoff , who uses AI daily to boost productivity, spark creativity, and occasionally generate ethically questionable spreadsheets. The future of game development won’t be about speed. It’ll be about ethics, intent, and ownership.
In a recent conversation with George Ng , CTO of GGWP , I got to explore the real impact of AI. The conversation was less about what it can do and more about how we’ll live with it. Meta, Google, Microsoft, OpenAI… All take turns scaring CEOs around the world that if they don’t adopt AI, they will find themselves “blockbustered”.
At the same time, where are those AI native companies that are passing the incumbents? The biggest success stories I’ve seen are kids' vibe-coding apps that make a few million. Good on them!
But vibe-coding the next app for identifying your napping window or an app that measures social battery is not exactly revolutionary. 1. AI Isn’t Creating New Problems.
It’s Supercharging Old Ones George was clear: AI doesn’t invent ethical issues, it scales them. Personalized pricing? Manipulative matchmaking?
AI just makes these systems more efficient, and therefore more dangerous. The tools now exist to run free-to-play’s dark patterns with surgical precision. Not just variable drop rates, but dynamically optimized offers based on churn prediction, social graph, and psychological profile.
With AI, player manipulation becomes not just scalable, but elegant. We started with A/B testing, expanded into segmentation, and the next level is personalization . The right difficulty and the right offers for the right player at the right time.
The regulators are actively discussing the harms of algorithms in social media. Are the AI driven personalization algorithms the next target? Could be.
2. Ethical AI Will Be the Differentiator In our conversation, George flagged the growing performance gap in moderation tools trained predominantly on Western datasets. Thai speakers?
Women? Kids in mature-rated games? The models simply don’t get them .
This isn’t evil. But it is structural bias, and it will quietly shape who gets muted, who gets banned, and who gets heard. The unspoken reality: no one is really accountable, yet.
” But as these systems make more decisions, from moderation to monetization, the accountability vacuum becomes a commercial and legal risk. The next gold standard? Not just faster AI.
Deconstructor of Fun
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