The Gaming Industry Had AI Before the Hype. So Why Does It Feel Quiet Now?
I've loved games since I was a kid.
If you know me, you know games shaped how I think about experience design. The way they onboard you without overwhelming you. The way they introduce mechanics slowly. The way they reward curiosity. There's so much product designers can learn from games. I'll probably write a separate piece on onboarding alone because games do it differently and, honestly, better in many cases.
But something crossed my mind recently. Everywhere you look, there's AI. New models, benchmarks, agents, automation, most of the noise is happening in the software space.
And I kept asking myself: What about gaming?
Gaming Already Had AI
Long before generative AI became mainstream, games were already using AI systems.
When you played against bots in football games like Pro Evolution Soccer or FIFA, that was AI. When NPCs reacted to your behavior in open-world titles like Red Dead Redemption 2, Grand Theft Auto V, Cyberpunk 2077, or Watch Dogs, that was AI too.
It just wasn't generative. It was rule-based, state-driven, and heavily scripted. And to be clear, that scripting is not a weakness. It's the reason those games work.
Smart, But Controlled
Take Red Dead Redemption 2 as an example.
If you commit a crime in a town, NPCs may recognize you later. They don't instantly attack. They look at you. They hesitate. Someone reports you. Law enforcement responds. It feels organic.
But under the hood, it's structured. There are predefined states: wanted level, recognition triggers, response timing. The system is complex, but it's still controlled.
That control is important. Game studios rely on predictability to maintain balance, fairness, and performance. A game needs to run consistently for millions of players across different hardware setups. It cannot afford chaos.
That's where scripting matters.
Generative AI Changes the Possibilities
Now imagine layering generative systems into that structure. Instead of fixed dialogue trees, NPCs could generate responses dynamically. Instead of limited branching paths, storylines could evolve based on long-term behavior patterns.
In RPGs like The Witcher 3 Wild Hunt, choices already influence outcomes. But those outcomes are still pre-written and carefully designed.
Generative AI could push that further. NPCs could remember how you spoke to them. Detect patterns in your moral decisions. Shift alliances. Change tone. Lie more convincingly. Or react differently based on subtle player behavior.
That creates a different level of immersion. Not just "choose your path." But "shape your world."
The Real Challenge: Cost and Reliability
Now here's the part that matters. Generative AI is not free.
It is computationally expensive. It introduces unpredictability. It can break tone, balance, or narrative consistency if not carefully constrained.
Game development depends heavily on reliability. Designers need to know that a quest will trigger correctly. That a boss fight won't suddenly become impossible. That dialogue won't generate something inappropriate or off-brand.
That's why scripting exists.
So the future is probably not fully generative worlds with zero control. The real opportunity is balance. Structured systems at the core. Generative layers where immersion benefits most.
For example:
- Scripted main story arcs.
- Generative side interactions.
- Controlled economies.
- Adaptive enemy tactics trained on player behavior.
- Guardrails around tone and narrative. Not chaos but augmented control.
Why This Industry Should Be Leading
The gaming industry is one of the largest entertainment industries globally, generating more revenue annually than film box office sales and recorded music individually. It has always been at the forefront of interactive systems.
If any industry understands immersion, feedback loops, adaptive difficulty, and behavioral design, it's gaming.
So it's interesting that most AI headlines today revolve around productivity tools, copilots, and SaaS. Games already mastered interactive AI in constrained systems. Generative AI simply gives them a new layer to experiment with.
What This Means Beyond Games
Games have always been a testing ground for experience design. They solved onboarding without manuals. They solved engagement without forcing retention tactics. They solved motivation through mechanics.
If generative AI becomes mature in gaming, we won't just get better NPCs.
We'll get:
- More advanced simulations.
- Better training environments.
- More adaptive educational tools.
- More emotionally intelligent interactive systems. Gaming could quietly become the experimental lab for next-generation human-AI interaction, again.
Conclusion
AI in games isn't new. What's new is adaptability. The future probably isn't fully scripted worlds. And it probably isn't fully generative chaos either. It's the balance between reliability and emergence.
Structured systems. Generative layers. Human design. Machine adaptation.
And if that balance is done well, games won't just feel realistic. They'll feel alive.
Quick Glossary
Generative AI: A type of AI that can create new content such as text, dialogue, images, or behaviors based on patterns it has learned from data.
NPC (Non-Playable Character): Characters in a game that are controlled by the game's system rather than the player. They often populate the world, provide quests, or react to player actions.
Bot: An AI-controlled opponent or teammate that simulates human players, commonly used in multiplayer or sports games.
Scripted Systems: Predefined rules and behaviors written by developers that determine how characters, quests, or events respond to player actions.
Dialogue Trees: A structured conversation system used in many games where players choose from predefined dialogue options that lead to different responses or story outcomes.
Branching Paths: A storytelling structure where player decisions lead to different predetermined outcomes.
Emergent Gameplay: Unexpected or dynamic gameplay situations that arise from interactions between game systems rather than being explicitly scripted.
RPG (Role-Playing Game): A genre of game where players take on the role of a character in a story-driven world, often making choices that affect the narrative, relationships, and progression of the game.