This piece argues design awards still matter in the AI era, but they need to reward judgment, systems thinking, and real-world impact instead of just polished outputs.
Awards stay credible only if submissions have to show post-launch evidence like adoption, error reduction, or support load, because glossy case studies are the easiest thing to fake now.