Skip to content

One in three new Steam games now discloses AI, and the revenue tells a harder story

Sulka Haro, the former Habbo Hotel lead, published a full census of 53,597 Steam releases covering mid-2023 to mid-2026. The headline number: roughly one in three new Steam games now carries Valve's AI-content disclosure, up from about 7% when the mandatory field launched in early 2024. AI-flagged launches grew from 13 a month to around 530, and they account for 60 to 90 percent of all growth in Steam's monthly release count. If the trajectory holds, AI-disclosed games cross half of all releases sometime in 2027 or 2028.

The supply explosion is real

The year-over-year curve is steep and clean. AI-flagged games were 10.9% of releases in 2024, 19.9% in 2025, and 30.8% so far in 2026. Strip them out and Steam's much-discussed release growth mostly disappears. The tooling that collapsed asset costs and code costs didn't just make existing developers faster, it minted new ones, and as Haro puts it, AI lowers the barrier not just to make a game but to make several.

One caveat he's careful about and most coverage isn't: the disclosure is binary. A game that ran one texture through an upscaler and a game that generated its entire art set carry the same flag. It's a touched-AI signal, not a dose measurement.

The revenue gap

Here's the uncomfortable half of the study. AI-disclosed games are a third of new releases but only somewhere between 10 and 27 percent of estimated sales in the most recent stretch, up from 3 to 6 percent in 2024. Growing, but lagging supply badly. And Steam's brutal baseline still applies to everyone: the top 1% of titles capture about 94% of estimated revenue. AI made shipping a game dramatically cheaper. It did nothing to make anyone want to play it.

What the successful AI games do differently

The most useful finding is buried in the usage breakdown. Among AI-flagged games that failed to find an audience, 72% used AI for visuals, the most visible and most resented application. The successful ones lean on AI where players don't stare at it: voice at 24% versus 8%, localization at 18% versus 6%, plus text and music. Their disclosures also read differently, full of words like "auxiliary" and "reviewed and refined." The winners use AI as a multiplier on craft. The flood uses it as a substitute.

What it means for creators

This study is the clearest data yet on the thing we see every day: creation is no longer the bottleneck, attention is. Half a thousand AI-assisted games a month are landing on a store where 1% of titles take 94% of the money. The lesson isn't to avoid AI, the successful cohort uses it more broadly than the failures. The lesson is that generation gets you to the starting line, and iteration, playtesting, and distribution decide the race. That's why Cinevva keeps investing in the loop after the first prompt, sharing, remixing, and publishing to the open web, and not just the generation moment. Making a game is now easy. Making one that people play is the entire game.

References