We examine the dangerous industry deflection that blames users for "prompting" AI wrong, drawing on Patrick Neeman’s parallel to Ralph Nader’s automotive critiques to argue that systemic interface flaws are not user skill gaps. This tension is tested by Nick Babich’s findings that identical prompts yield wildly different results, proving that tool defaults matter more than user intent, while Julie Zhuo reframes the conversation by arguing AI’s true value lies in expanding personal creativity rather than just automating drudgery. We also dive into the specific, grounded friction of daily design, from the burden of playful physics masking content limits in carousels to the visual hierarchy debates surrounding WhatsApp’s light mode.
