Google’s newest AI tool, Stitch, promises to speed up the product design process. But does it actually accelerate design, or does it create “design debt” that organizations must reckon with later in their product lifecycle?
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Design 
AI can be transformative, but it can also fail spectacularly if user experience and real-world needs aren’t top priorities. Sometimes, the biggest danger is what you don’t see: overconfidence in AI’s novelty, untested assumptions, and a fuzzy plan for how users will adapt. Below, we’ll explore the six biggest ways AI projects go off the rails, along with strategies to mitigate risk and apply a rigorous process to your next AI initiative.
Levi Myers