There's a distinction getting lost in a lot of the AI-in-gaming conversation right now, and a recent piece from Inven Global's Jaihoon Jeong nails exactly why it matters. The short version: writing your game's code with Claude, or generating your art with a diffusion model, doesn't make your game an "AI game" any more than using Photoshop makes something a "Photoshop game." The tool you built with and what the game actually does at a rules level are two completely different questions.
The Real Dividing Line
A recent academic paper, "AI-Native Games: A Survey and Roadmap," looked at 53 released games and prototypes and tried to draw a cleaner line around what actually counts as AI-native. The test they landed on is simple to state even if it's harder to apply in practice: if you pulled the AI out and swapped in a traditional system, would the core gameplay collapse or fundamentally change? If the answer is no, you've got a normal game that happened to use AI somewhere in the pipeline. If the answer is yes, you might have something genuinely new.
Think of it in soccer terms. AI generating the commentary, the scoreboard graphics, the player intros, none of that touches the actual rules of the sport. The goal is still to get the ball in the net. But if AI started deciding in real time whether a tackle was a foul, it would have stopped being a commentator and become a referee, an entity actually shaping how the match unfolds. Most games using AI right now are doing the commentary version. A much smaller number are doing the referee version.
Content vs. Rules
An NPC that generates a different greeting every time you talk to it is a content change, not a rules change, as long as the only things you can actually do at that NPC are the same two or three options you always had. Armor with AI-generated flavor text and armor with hand-written flavor text both give you the same defense stat. Nothing about how the game plays shifted.
Games that cross into AI-native territory are doing something different: letting the AI interpret player intent and turn it into an action the developer never explicitly coded. The paper points to a few concrete examples. In Retail Mage, players solve customer requests with genuinely improvised actions, tearing a page out of a book or repurposing an item in a way the AI has to interpret on the fly rather than match to a prewritten option. Infinite Craft works the same way with item combinations, the AI is deciding what a new combination produces rather than just generating flavor text for an existing recipe. Uncover the Smoking Gun, a Korean narrative title, lets players type interrogation questions directly instead of picking from a dialogue tree, with the AI folding free-form input into a case the developer still designed the evidence and truth for.
Why the Line Is Hard to Hold in Practice
The interesting part of the piece isn't the definition, it's the reality check that follows it. Fully unleashing an AI inside a game world is a lot harder than it sounds, because generative models are inconsistent by nature. They forget details, contradict themselves, and occasionally invent facts that don't exist. A game world needs to feel stable enough for a player to learn its rules, so nobody's actually giving AI full authority over what happens.
The workaround shows up in a project called OpenMMO, an experimental AI-driven MMO prototype. The AI handles interpretation, deciding what a player or NPC intends to do, while a traditional game server still checks whether that action is actually possible: is there a barrel nearby, is the window open, can the guard hear the noise. High-level judgment goes to the AI. The actual mechanics stay locked to a conventional engine. There's also a cost problem baked into all this that doesn't get talked about enough: an NPC that's constantly "thinking" racks up inference costs fast, so OpenMMO reportedly avoids calling the AI for NPCs nobody's currently interacting with and batches similar events together rather than running everything in real time.
Where This Leaves Solo and Small-Team Devs
None of this is an argument against using AI tools to build your game. It's a reminder that "I used AI" and "I made an AI game" are different claims, and conflating them is part of what's fueling the current backlash around AI content on storefronts like Steam. A dev who used Claude to speed up their coding and shipped a completely traditional game shouldn't get lumped in with a dev doing genuinely novel work on how players interact with a world, and vice versa. Being precise about which one you're actually building is worth doing, both for your own clarity and for how you talk about the project publicly.
Do you think your own projects lean more AI-assisted or AI-native? Let us know your thoughts in the comments. And if you've got a game you'd like us to review, send it over to editor@gamevibe.io.