“AI” in Your Product Copy Is Hurting You — Here’s Why

A WordPress VIP survey found 60% of US consumers say brands using 'AI' in messaging is a turnoff, while enterprise teams spend 16.6 hours weekly chasing AI search visibility. Multiple studies show consumer trust in AI has collapsed, creating a widening gap between enterprise enthusiasm and consumer skepticism.

A new survey from WordPress VIP found that 60% of US consumers say brands using “AI” in their messaging is a turnoff. That figure was published Monday by TechCrunch https://techcrunch.com/2026/06/16/sixty-percent-of-u-s-consumers-say-ai-in-brand-messaging-is-a-turnoff-survey-finds/ and landed on Hacker News with 317 points and 165 comments — strong signal this isn’t just another survey. But here’s the part that should give developers pause: the same report found enterprise teams are logging 16.6 hours per week chasing AI search visibility, and 60% of businesses report more traffic from AI-driven referrals. Companies are sprinting toward AI branding. Their customers are running the other way. Multiple Studies Are Saying the Same Thing This isn’t a single outlier survey. Gartner found in October 2025 https://www.gartner.com/en/newsroom/press-releases/2026-03-16-gartner-marketing-survey-finds-50-percent-of-consumers-prefer-brands-that-avoid-using-genai-in-consumer-facing-content0 that 50% of US consumers prefer brands that avoid GenAI in consumer-facing content entirely. Clutch research shows 33% of consumers say AI worsens their perception of a brand — compared to 16% who say it improves it. And consumer excitement about AI has collapsed: from 50% in 2024 down to 19% in 2026. Three independent research firms, same direction of travel. AI as a marketing claim has burned through its goodwill faster than almost any tech buzzword before it. The WordPress VIP Future of the Web 2026 report https://wpvip.com/future-of-the-web-2026/ adds texture to how bad it is. 86% of consumers don’t trust AI-generated answers without source attribution. 42% trust AI-generated content less than airline fees and confusing privacy policies — two things almost everyone agrees are frustrating. 73% say the internet feels less human than it did a decade ago. The general mood is skepticism, not enthusiasm. The Enterprise-Consumer Disconnect Is Getting Wider Here’s the paradox at the center of this story. Enterprise buyers are still bullish: 74% of CMOs and decision-makers surveyed prioritize AI discoverability and attribution. B2B pitch decks are loaded with AI capability slides. Meanwhile, the consumer at the end of the funnel doesn’t trust AI-labeled content and would rather buy from brands that don’t mention it. This gap is partly structural. B2B buyers respond to capability and efficiency signals; “AI-powered” still moves enterprise deals. But B2C consumers — who have now lived through years of overpromised AI features, AI-generated slop, and AI washing — have made up their minds. The same label means something different to each audience. The problem is when teams apply B2B messaging logic to consumer-facing products. AI Washing Is Becoming a Legal Problem Too London PR agencies estimate roughly half of the AI pitches they receive are relabeled versions of existing automation — rule-based systems dressed up as machine intelligence. The SEC has already pursued AI washing cases in financial products. And starting August 2, 2026, the EU AI Act will require clear labeling of AI-generated content https://pandectes.io/blog/labeling-ai-generated-content-what-the-new-rules-require/ in certain categories. California’s SB 942 has similar requirements. Brands that have leaned into “no AI” positioning are getting attention for it. Coterie, a baby products brand, explicitly told The Wall Street Journal it won’t use AI-generated images in social media. Cadbury shot a campaign with no CGI or AI and announced it publicly. That’s now a differentiator. What This Means for Developers Shipping AI Features If you’re building something with AI under the hood — and most teams are — the research points toward a counterintuitive move: lead with what the feature does, not how it works. “Writes your first draft” outperforms “AI writing assistant” in consumer contexts. The underlying technology is the implementation detail; the outcome is the product. That said, hiding AI involvement has its own risks. Users who discover it later can feel deceived — and in some content categories, the EU AI Act will legally require disclosure. The practical balance: be transparent when AI involvement affects trust, accuracy, or safety; don’t use it as the headline when the headline should be the value the user gets. WordPress VIP CTO Brian Alvey put it plainly: “People used to build websites for other people. Now you have to build websites for AI agents acting on behalf of those people.” That’s the infrastructure reality. But your consumer-facing copy is still speaking to a human who is increasingly skeptical of the word “AI” — and the data makes a strong case that you should speak their language. The Bottom Line The 60% figure is a data point in a trend that’s been building for months. Consumers have been oversold AI, and they know it. The irony is that the companies best positioned to benefit from AI capabilities may be the ones quiet enough about it to let the product speak. Build the features. Just pick different words to describe them.