AI Upscaling in Games Needs to Scale it Back – Beyond Clips

Check out the full episode of IGN’s PlayStation Podcast, Beyond! here – https://www.youtube.com/watch?v=hg_8Y9LmRng In this snippet from Podcast Beyond Episode 938, This week, Sony unveiled an update to PSSR, the PS5 Pro’s AI-powered graphical enhancing technology, which makes some improvements, but ones you have to look pretty closely to notice. Conversely, NVIDIA showed off its DLSS 5 tech by giving Resident Evil Requiem, Starfield and Hogwarts Legacy some makeovers that might be a little too noticeable, and which most of the internet seems to look more like AI slop than next gen video games. This is the direction things are going, so will it get fine-tuned into something a little less off-putting, or is this just the beginning of a whole new uncanny valley for game characters?

This weeks episode was hosted by Max Scoville and Brian Altano. It was produced by Nick Maillet.

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AI Upscaling in Games Needs to Scale it Back – Beyond Clips

In recent years, AI upscaling has become a familiar feature in modern games, promising crisper textures, higher resolutions, and more immersive worlds. Yet as adoption widens, a growing chorus among developers and players alike argues that the technology should be scaled back to preserve artistic intent, performance balance, and long-term sustainability. This piece examines why a measured approach to AI upscaling matters, what practical compromises look like, and how studios can navigate the trade-offs without sacrificing visual quality.

First, the case for restraint. AI upscaling excels at rendering efficiency: it can render a lower-resolution image quickly and then reconstruct a higher-resolution output. However, this process is not neutral. Art direction, texture detail, and environmental storytelling often rely on deliberate low-level choices that upscaling can amplify unevenly. If every asset is pushed toward near-native fidelity, the distinct texture, brushwork, and material cues that give a game its character risk being smoothed into a homogenized visual language. Scale introduces a risk of eroding the very signatures that define a title’s identity.

Second, performance implications. While upscaling reduces raw polygon counts and shader loads, it imposes its own computational burden, including post-processing passes, artifact correction, and potential instability with certain lighting models. On platforms with constrained power budgets—laptops, consoles in handheld modes, or ray-tracing-heavy configurations—the balance can tip toward diminishing returns. Developers should measure not just frame-time improvements but the cadence of art-driven updates, metadata costs, and the potential need for frequent fine-tuning across a game’s lifecycle.

Third, consistency with design intent. AI upscaling tends to react to image content in ways that may not align with a game’s stylistic goals. A cel-shaded moment, a cinematic skybox, or a procedurally generated surface may respond unpredictably to learning-based enhancement. The risk is an aesthetic mismatch between scenes that should feel cohesive and scenes that look temporarily enhanced but emotionally incongruent. A cautious approach—defining where upscaling is acceptable, where it should be disabled, and where it needs explicit hand-tuning—helps maintain a stable visual language from start to finish.

What, then, are practical pathways forward? Three core strategies can help studios reap dependable benefits without surrendering design sovereignty:

• Scoped deployment with guardrails: Establish a clear policy for where AI upscaling is enabled (e.g., distant textures or ultra-wide res targets) and where it is off (e.g., narrative-critical assets, stylized UI, or close-up closeups). Implement automated checks to ensure outputs stay within predefined artistic bounds. – Perceptual tuning over brute-force enhancement: Focus on perceptual quality metrics that align with human vision and artistic intent rather than chasing pixel-perfect fidelity. This means prioritizing features like edge preservation, texture contrast, and color consistency that support readability and mood, rather than chasing arbitrary resolution gains. – Iterative, artist-driven evaluation: Treat upscaling as a collaboration between engineers and artists. Create workflows where artists review upscaled outputs early and often, with rollback mechanisms and version control that allow rapid swapping between scaled and non-scaled assets during polishing sessions.

Beyond the pixel-level debate lies a broader consideration: the lifecycle of a game’s visuals. Titles release, but many live, breathe, and evolve over years. Upgrading textures via AI can be tempting as a way to refresh aging titles, yet such patches must be handled with care to avoid introducing visual drift across seasons, DLC, or cross-platform builds. A disciplined approach—documented practices, reproducible pipelines, and clear communication with players about what upscaling can and cannot achieve—fortifies trust and sets accurate expectations.

In sum, AI upscaling offers meaningful advantages in efficiency and reach, but its benefits are maximized when tethered to a designed framework that honors artistic intent, performance budgets, and long-term visual cohesion. Rather than chasing every potential improvement, studios should embrace principled restraint: scale up where it serves the experience, and scale back where it risks eroding it. When executed thoughtfully, AI upscaling can be a powerful tool in deft hands, contributing to richer worlds without compromising the craft that makes games memorable.

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