The Runtime Gap: What 25 Years Inside Game Engines Taught Andrew Bowell About Where AI Actually Matters

7B IPO.   We sat down with him to talk about what the industry gets wrong about AI in games, why on-device inference changes everything, and whether players actually want any of this. Here are three things that stuck.

1. The AI paradigm shift in games isn't in production. The gaming industry's AI adoption story so far is almost entirely about making things faster and cheaper on the development side.

Asset generation, code assistance, dialogue pipelines. Bowell's argument is that this is productivity tooling, not a paradigm shift, and that the real untapped surface is at runtime, in the player experience itself. What is runtime?

  In game development, runtime is everything that happens while the player is actually playing the game . It's the live, real-time execution layer. The contrast is with build-time or production-time, which is everything that happens before the game ships, such as writing game code, creating art assets, designing levels, recording dialogue, testing etc.

His framing is worth paying attention to. Havok rode CPU power to make games feel physically real. Unity rode accessible GPU and mobile hardware to make game development accessible.

The next wave, he argues, rides machine learning compute to make game worlds dynamic and responsive in ways that pre-scripted systems can't achieve . The specific capability Iconic is chasing is conversational AI characters with memory, persona, and narrative coherence, running live during gameplay.   Bowell is blunt about this distinction.

Integrating voice into existing games as an add-on doesn't work nearly as well as designing the game around the capability from scratch. The way I read it, he encourages studios to go AI native. Dive in.

Not dip their toes. This is a useful filter for evaluating every "AI in games" pitch you see. Ask whether the AI is making the production pipeline faster, or whether it's changing what the player actually experiences.

The former is valuable and measurable but incremental. The latter, if it works, creates a new category. And that’s a big if.

2. Who pays for the AI when a million players play at once? Bowell frames on-device AI as the single most important technical problem Iconic is solving, and the reasoning is almost entirely economic.

Run an LLM in the cloud for a game that hits a million concurrent users, and the token costs become existential. Add privacy concerns around voice data leaving the device, model drift as foundation models update underneath your game, and latency requirements for real-time conversation, and the cloud path gets really ugly, really fast. Iconic's first title, The Oversight Bureau , runs its full AI stack on a Steam Deck.