Steam Next Fest is meant to turn a crowded PC storefront into a temporary demo buffet: a chance to browse upcoming games, sample projects that might otherwise be missed, and let player attention surface the most promising releases. But as the latest festival begins, a different kind of discovery problem is driving discussion among Steam users. Some players say they are encountering so many games promoted with apparently AI-generated imagery, or perceived to have been extensively made with generative tools, that they want a direct way to remove disclosed AI content from their recommendations.
The core request is simple: an opt-out filter in Steam’s discovery systems. One player, posting under the name ScalesGhost, said they would like to personalize the Discovery Queue by excluding games with AI-generated content, alongside the ability to remove unwanted genres or tags such as incremental games. Other users described the browsing experience as dominated by low-effort submissions and said the volume had put them off participating in Next Fest.
The complaints do not establish that every title players dislike uses AI, nor that a game’s visual presentation can reliably prove how it was made. That distinction matters. The practical issue being raised is not a demand for shoppers to judge a project from a screenshot; it is a request to use the AI-content information developers already disclose on Steam as a choice within discovery tools.
What players are asking Valve to build
Steam already uses tags to help categorize games and shape browsing. A tag can describe a genre, mechanic, theme, perspective, mood, or other product characteristic. A filtering system based on disclosed AI use would work differently from a conventional community tag: rather than asking users to apply a subjective label, Valve would need to expose a platform-level disclosure field as a searchable or excludable preference.
That is why the request is more specific than “curate Next Fest better.” Players want a control that says, in effect, do not recommend titles carrying this disclosure to me. It would leave the underlying catalogue intact while giving individual users a way to narrow it.
Steam has a well-established tagging framework, although Valve reduced the number of user-defined tags earlier this year. Turning AI disclosure into a visible discovery option would therefore be a policy and product-design decision, not merely a matter of users inventing another tag. Valve would have to decide how the filter treats different kinds of disclosures, how it appears in the Discovery Queue and event pages, and whether the setting applies to recommendations across the store or only to a particular festival.
Disclosure and a quality verdict are not the same thing
“AI-generated content” is an especially broad label in player conversations. It can refer to promotional images, visual assets, text, audio, code assistance, or work that is more extensively generated through automated tools. A disclosure filter, if Valve chose to provide one, would identify titles based on the platform’s disclosure process. It would not independently measure polish, originality, legality, developer intent, or whether a demo is enjoyable.
That limitation is not necessarily a flaw. Storefront filters already help people avoid categories they personally do not want to browse; they do not claim that excluded categories are inherently poor. A player may prefer hand-made art, want to avoid a particular genre, or simply wish to reduce the number of listings they must inspect during a limited-time event. The proposed filter would be a preference tool, not an objective score.
Related coverage includes Steam Players Call for an AI Content Filter as Next Fest Discovery Frustrations Grow.
Why Next Fest makes the issue feel more urgent
Discovery is always difficult on an open digital storefront, but a festival concentrates the problem. Next Fest presents a large number of demos in a short period, so browsing is part of the event rather than an occasional purchase decision. When players feel that many listings are visually similar, hastily assembled, or irrelevant to their tastes, every extra click becomes more noticeable.
Several users have framed this year’s event as unusually crowded with what they call “AI slop” or “vibe coded” games. Those are judgments from the community, not formal Steam classifications. “Vibe coding” generally describes directing an AI coding tool through broad prompts and iterating on its output, rather than writing every part of a program manually. In the current discussion, the phrase is often being used more loosely as shorthand for projects players believe were produced with minimal care or verification.
That shorthand can blur important differences. A small team using an automated tool for one task is not automatically equivalent to a project created almost entirely through generated material. Nor does the presence of a disclosure tell prospective players how much human creative work, technical work, testing, or revision went into a game. Yet the user request remains operationally clear: players who care about that distinction want the option to avoid disclosed AI content without individually opening large numbers of store pages.
For players who still want to use Next Fest now, the available workaround is less precise. Steam’s recommendation systems and popular listings may gradually push more-engaged-with demos upward, while weaker or less-visible projects receive less attention. That can make the event easier to navigate after the initial rush, but it does not give users direct control over the kind of content they see. It also means that discovery relies on engagement patterns rather than a plainly stated personal preference.
Valve’s existing approach: scale first, algorithm second
Steam has long operated with comparatively broad access for creators and a discovery system intended to help popular or relevant games find an audience. That approach can support experimentation and allows unusual projects to reach players without passing through a small editorial gatekeeping process. Its trade-off is abundance: low-effort, confusing, or simply unwanted listings can sit alongside more ambitious work.
Next Fest makes that trade-off visible because demos compete for attention on the same event surface. The community concern is not only that unwelcome games are present; it is that they may create enough noise to make finding the games a player would enjoy more time-consuming. In that context, an AI-disclosure exclusion would be a form of user-led curation. It would not reduce the number of submitted demos, but it could reduce the number any individual user has to sort through.
There is also a broader discovery-design question behind the request. Tags are most useful when they are accurate, consistently applied, and connected to meaningful controls. If a platform requires developers to disclose a particular production practice, users may reasonably ask whether that information should be actionable in search and recommendations. On the other hand, making it actionable may encourage users to treat a broad disclosure as a simple pass-or-fail quality signal. Valve has not been identified as announcing such a filter.
AI use is becoming a wider games-industry fault line
The debate arrives as AI tools are becoming more visible across game development and adjacent technology work. Epic recently delayed its planned Star Wars shooter while pursuing what it described as an “AI-first” direction. Epic’s leadership has also discussed using vibe coding on the Epic Games Store launcher. Capcom, meanwhile, has incorporated AI into its REX program, which is intended to support further development of the RE Engine used in titles including Resident Evil: Requiem and Pragmata.
Those examples illustrate why a blunt conversation about “AI games” can become difficult. The technology can be discussed as a development aid, an engine-development tool, a source of code, a generator of player-facing assets, or the basis of a project’s marketing. Players asking for a Steam filter are primarily talking about consumer transparency and control, not necessarily making identical claims about every one of those uses.
The question of disclosure is also part of a larger argument about consent and creative labor. Concerns around AI-generated voices, for example, have prompted public calls for clearer permission practices, as covered in recent guidance discussions involving performers and unauthorized AI voice use. Steam’s Next Fest debate is narrower: players are asking how disclosed information should affect what a storefront recommends to them. Still, both issues turn on transparency—who made the material, what tools were used, and what control affected people have.
What an effective filter would need to answer
A useful AI-content preference would need more than a single toggle labelled “AI.” The available evidence does not indicate that Valve is building one, but the current complaints point to the product questions any such system would face:
- Scope: Would the setting remove only games with AI-generated player-facing content, or every game with any disclosed AI use?
- Placement: Would it apply to Next Fest alone, search results, the Discovery Queue, recommendation hubs, or all of those places?
- Clarity: Could players see why a game was included or excluded, rather than guessing at the meaning of a broad label?
- Reliance on disclosures: Would the system exclusively use information supplied through Steam’s established disclosure process, avoiding speculation based on art style or community accusation?
- User choice: Could players who do not mind AI-assisted work leave the setting off and browse normally?
Those details would shape whether a filter solves the frustration described by players or simply relocates it. A very broad filter might exclude projects some users would otherwise want to see. A very narrow one might fail to remove the types of listings that prompted the request. The most defensible version would be transparent about what the setting does and does not mean.
For now, the immediate story is one of discovery fatigue. Steam users are asking for a way to convert existing AI disclosures into a personalized browsing control, particularly during a demo event where attention is scarce and first impressions matter. Whether Valve responds with stricter submission rules, a new filter, or no change at all, the debate highlights a growing expectation: if a storefront collects production disclosures, players increasingly want the ability to use that information for themselves.







