"“Many fall into the trap of tacking on AI capabilities to cash in on the hype rather than because they solve a real, tangible user problem,” says Jody Bailey, chief product and technology officer at Stack Overflow. “The results are brittle features that introduce bugs, create security gaps, or disrupt workflows.”"
"“The biggest anti-pattern is AI everywhere without context,” says Neeraj Abhyankar, VP of data and AI at R Systems, a digital product engineering company. “Teams bolt chatbots or auto-generated content onto established products and workflows in ways that disrupt the user's flow rather than enhance it.”"
"Only 8% of Americans would pay extra for AI, according to ZDNET-Aberdeen research. Amid rising AI slop concerns and growing consumer pushback, The Wall Street Journal reports that companies are becoming more cautious about how they promote AI in products."
"Sudden closures, such as the sunsetting of video generation app Sora, highlight the brittleness of AI offerings in the market. Enthusiasm for AI-generated content is also declining: 46% of users dislike companies that use AI to generate content, and 43% are less likely to purchase from them, according to SurveyMonkey's State of Marketing 2025 report."
Generative AI can improve software engineering, but adding AI features to end-user applications often fails to deliver real value. AI-labeled UI elements can become distractions and productivity killers when driven by hype rather than user problems. Such additions can produce brittle functionality that introduces bugs, creates security gaps, and disrupts established workflows. Users increasingly react negatively to “AI everywhere, all the time,” with low willingness to pay for AI and growing concerns about low-quality “AI slop.” Companies are becoming more cautious, and the biggest anti-pattern is deploying AI without context. Examples of brittleness include sunsetting of video generation offerings and declining sentiment toward AI-generated marketing content.
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