When design stops asking why and starts asking "can AI do it?"
Briefly

When design stops asking why and starts asking "can AI do it?"
"The question dropped into the Slack channel before the user research summary. Before the problem was clearly defined. Before anyone asked if users actually needed this feature. Your product manager already generated three interface options in ChatGPT. Now they're asking which one to build. Not whether to build. Not why to build. Which. And when you slow the conversation down to ask those questions, you're about to discover that strategic thinking now reads as bottleneck behavior."
"Figma's 2025 AI Report surveyed 2,500 designers and developers and found that 78% agree AI significantly enhances work efficiency. Only 32% say they can actually rely on the output. Copy of Figma's 2025 AI Report. That gap isn't a quality problem. It's a power shift. 22% designers now use AI to create first drafts of interfaces. 33% use it to generate design assets. The time from concept to visible prototype collapsed from days to minutes."
AI interfaces were optimized to present confident outputs, causing organizations to equate confidence with judgment. Product decisions now often begin with AI-generated interface options before problems are defined or user needs validated. Designers who pause to ask strategic questions are increasingly labeled as bottlenecks. Survey data shows high perceived efficiency gains from AI but low trust in outputs, and substantial use of AI for first drafts and assets, collapsing prototyping time from days to minutes. The emphasis on polished, certain outputs hides uncertainty and shifts power away from design judgment to AI-enabled confidence.
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