Sixty percent of US consumers say 'AI' in brand messaging is a turnoff

A survey claiming 60% of US consumers are turned off by “AI” in brand messaging has sparked broader skepticism about how the technology is marketed and deployed. Many commenters say consumers don’t care about underlying tech and now associate “AI” with low‑quality features, enshittified user experiences, job threats, environmental costs, and intrusive customer‑service bots, while genuine benefits are either invisible or framed as something else. Several argue that AI should be treated as an implementation detail and used quietly to improve products, rather than as an investor‑facing buzzword plastered on everything from PCs to toasters.

Overall sentiment toward “AI” branding

  • Many commenters say “AI” in marketing has shifted from meaningless buzzword to active negative signal.
  • It now connotes sloppiness, low effort, enshittification, and “cheap and quick at the cost of quality.”
  • People want to hear what a feature does, not what technology powers it; “AI” is seen as an internal implementation detail.

User experience: chatbots, agents, and forced integrations

  • Strong hostility toward AI customer-service bots and phone trees: they’re perceived as dehumanizing, unhelpful, and a way to avoid giving real support.
  • Multiple anecdotes of being trapped by bots that can’t solve non‑standard issues and make escalation difficult.
  • Widespread frustration with AI buttons and overlays being forced into OSes, IDEs, phones, TVs, office suites, and e‑commerce flows, often replacing simpler deterministic features that used to work.
  • Good ML/AI that quietly improves recommendations, photos, or washing-machine cycles is tolerated or appreciated; “visible AI” usually marks a UX regression.

AI branding as investor signaling

  • Many argue “AI” on the box is aimed at VCs, boards, and public markets, not end‑users.
  • It’s compared to past waves: “web‑everything,” “blockchain,” and “the algorithm” hype.
  • One product team reports backlash when a feature was called “AI,” which disappeared after renaming it to “Advanced Search” without changing functionality.

Jobs, ethics, environment, and trust

  • “AI” branding is widely associated with job loss, union‑busting, and “we fired staff for profits.”
  • Artists’ and creators’ concerns (plagiarism, uncompensated training data) and environmental worries (energy, water, data centers, local pollution) strengthen negative feelings.
  • Some see AI corporations and supporting governments as symbols of capital steamrolling communities and regulation.

Disagreement and nuance

  • Several note that many people happily use AI tools when they choose to (coding assistants, homework help, translation, search/learning aids) but resent being forced to interact with AI in products.
  • Others dispute claims that “everyone” uses ChatGPT; cited survey data in the thread suggests adoption is growing but still not universal or daily for most adults.
  • Some technologists argue AI is genuinely useful as a research/learning tool and for code generation, but agree that most “AI‑powered” consumer features are rushed, poorly scoped, or misapplied.