When a brand touts its use of artificial intelligence, it might be doing more harm than good. A new survey from WordPress VIP reveals that 60% of US consumers say seeing ‘AI’ mentioned in brand messaging is a turnoff. The finding lands as companies across industries rush to embed AI into products, customer service, and marketing — but consumers are pushing back.
The trust gap between brands and consumers on AI
The survey, conducted by WordPress VIP — the enterprise content platform owned by Automattic — asked US consumers about their perceptions of AI in brand communications. The result was stark: a clear majority view AI mentions negatively. Even more telling, 61% of respondents said they were either unsure or could not think of a single business that uses AI well in its brand messaging. Another 16% said they do not believe any business uses AI effectively at all.
Why consumers are turning away from AI-labeled messaging
For the average consumer, the word ‘AI’ has become loaded with associations of automation, job displacement, and impersonal service. Many brands have rushed to add AI features or label existing services as ‘AI-powered’ without clearly explaining the benefit to the user. The result, according to the survey, is confusion and distrust rather than excitement. Consumers appear to be asking: if you have to tell me you’re using AI, are you using it for me or for your bottom line?
How the AI marketing push backfired
The backlash comes at a time when companies are betting heavily on AI as a differentiator. From chatbots handling customer queries to AI-generated product descriptions and personalized recommendations, the technology has become central to digital strategy. But the survey suggests that the marketing around AI has outpaced consumer comfort. Instead of building trust, the constant mention of AI in ads, emails, and website copy is creating resistance.
Who is most affected by the AI messaging backlash
Everyday consumers are the ones most directly affected. When a brand leads with AI messaging, it risks alienating people who may feel the technology is being pushed on them without clear value. For small businesses and startups, the temptation to signal tech-forwardness by highlighting AI use could backfire, especially if the AI feature is not genuinely transformative. Larger enterprises with established trust may have more room to experiment, but the survey suggests no brand is immune to consumer skepticism.
What the survey says about the state of AI in business
WordPress VIP’s findings align with a broader pattern of consumer caution around AI. While companies see AI as a growth driver — particularly in search and content personalization — the public remains wary. The inability of 61% of consumers to name a business using AI well points to a fundamental communication failure. Brands are not effectively explaining how AI improves the customer experience, and in many cases, they may be overpromising what the technology can deliver.
Confirmed facts vs what remains unclear
What is confirmed: 60% of US consumers view AI in brand messaging negatively; 61% cannot name a business using AI well; 16% believe no business uses AI effectively. The survey was conducted by WordPress VIP. What remains unclear: the exact sample size, demographic breakdown, and methodology of the survey. The specific industries or brand types that trigger the strongest negative reactions are also not detailed in the available data. The survey measures perception, not actual consumer behavior — whether this sentiment translates into lost sales or reduced engagement is not yet established.
Why brands are still betting on AI despite consumer skepticism
WordPress VIP itself operates at the intersection of content and AI. The platform helps major publishers and enterprises manage digital experiences, and its survey reflects an industry grappling with a paradox: companies see AI as essential for future growth, but consumers are not buying the pitch. The tension is real. AI-powered search, for instance, is becoming a major referral channel for content sites. Brands cannot afford to ignore AI entirely, but the survey suggests they need to rethink how they talk about it.
Risks and balanced view on the AI messaging backlash
Critics of the survey might argue that consumer sentiment is fluid and that early resistance to new technology often fades with familiarity. Some brands, particularly in tech and finance, have successfully integrated AI without consumer backlash by focusing on outcomes rather than the technology itself. However, the survey’s findings are a warning: leading with ‘AI’ as a selling point may alienate more customers than it attracts. The risk is that brands double down on AI messaging without addressing the underlying trust deficit, deepening consumer skepticism.
Wider trend: The growing consumer skepticism toward tech buzzwords
The AI backlash is part of a larger pattern. Consumers have become increasingly wary of tech jargon — from ‘blockchain’ to ‘metaverse’ to ‘Web3’ — that promises transformation but often delivers confusion. The word ‘AI’ now risks joining that list. The survey suggests that brands need to move from technology-centric messaging to human-centric storytelling. Instead of saying ‘powered by AI,’ they might better explain how a feature saves time, improves accuracy, or solves a specific problem.
Practical guidance for brands and marketers
For marketers and brand managers, the survey offers a clear signal: lead with value, not technology. If AI is genuinely improving a product or service, explain the benefit in plain language. Avoid using ‘AI’ as a buzzword or badge of innovation. Test messaging with real consumers before launching campaigns. Consider whether the AI feature is truly differentiated or simply table stakes. For consumers, the takeaway is to look beyond the label — ask what the AI actually does and whether it improves your experience.
Future outlook: Will consumer trust in AI messaging recover?
The path forward is uncertain. If brands continue to use ‘AI’ as a marketing crutch without delivering meaningful improvements, consumer skepticism is likely to deepen. However, if companies shift toward transparent, benefit-driven communication, trust could gradually rebuild. The survey from WordPress VIP may serve as a wake-up call for an industry that has been moving faster than its audience is ready for. The next phase of AI adoption may depend less on the technology itself and more on how honestly and clearly it is presented.
Our Take
The WordPress VIP survey captures a moment of reckoning. For years, the tech industry has assumed that consumers would embrace AI simply because it is new and powerful. This data suggests otherwise. People are not anti-technology — they are anti-hype. The 60% figure is not a rejection of AI itself but a rejection of how it has been marketed. Brands that learn to talk about AI with humility and clarity will earn trust. Those that keep shouting ‘AI’ from the rooftops may find consumers tuning out entirely.
Frequently Asked Questions
What did the WordPress VIP survey find about AI in brand messaging?
The survey found that 60% of US consumers say seeing ‘AI’ mentioned in brand messaging makes them less interested. Additionally, 61% could not name a business using AI well in its messaging, and 16% believe no business does it effectively.
Why are consumers turned off by AI in brand messaging?
Consumers associate ‘AI’ with impersonal automation, job displacement, and unclear benefits. Many brands have used the term without explaining how it improves the customer experience, leading to confusion and distrust.
Should brands stop mentioning AI in their marketing?
Not necessarily, but the survey suggests brands should focus on the benefit to the user rather than the technology itself. Plain-language explanations of how AI improves a product or service are likely to be better received than buzzword-heavy messaging.
Is this survey representative of all US consumers?
The survey was conducted by WordPress VIP, but the exact sample size and methodology have not been fully disclosed. The findings indicate a strong sentiment trend but should be interpreted with the usual caveats about survey data.
