Large format printing exposes every weakness in a file. If the source image is soft, compressed, or undersized, scaling it manually usually makes the problem more visible. AI upscaling can help, but only when you use it with realistic expectations.
Pick the right kind of file
AI upscalers work best on photos, painted artwork, and textured illustrations. They work much less reliably on logos, typography, and flat vector-like graphics. Those should usually be rebuilt instead of enhanced.
Tools worth trying
Topaz Gigapixel, Photoshop Super Resolution, and Magnific are the strongest options for production work. Run a small crop first, compare the enhanced detail at 100%, and look for fake texture, ringing, and sharpened edges that will look unnatural in print.
Before sending any upscaled file to production, check the resolution benchmarks in How resolution affects print quality: a visual guide.
Finish with manual correction
After upscaling, clean noise, fix halos, and add selective sharpening only where it helps. AI can invent detail, but it cannot judge whether that detail supports the printed image. That part is still your job.
If the file will be viewed closely, do not rely on AI alone. For premium prints, the safest answer is still recreating the artwork at the correct size whenever possible.