Sixty percent of Americans are tired of hearing 'AI' in your ads
A WordPress VIP survey of 1,200 US consumers finds AI in brand messaging is a turnoff, and almost nobody can name a company doing it well.

I opened a banking app last week and the splash screen said “Now with AI-powered insights.” I stared at it for a full three seconds, trying to figure out what that meant for my checking account. The insights turned out to be a bar chart I could have seen in 2019. The only thing that changed was the adjective.
My phone does this constantly now. Email summaries. Photo search. Spell check with a press release attached. Every feature that used to be called “smart” or “automatic” has been rebranded as AI, and I am starting to flinch before I tap.
Apparently I am not alone, and not even particularly cranky by national standards.
The story in one sentence
WordPress VIP surveyed 1,200 US consumers for its “Future of the Web 2026” report and found that 60% say seeing “AI” in a brand’s messaging is a turnoff, not a selling point - while 61% cannot name a single company they think is using AI well.
The headline number is the hook. The rest of the report is a long slide deck about why your enterprise website should be the answer.
Why this climbed the front page
HN did not upvote a market research PDF because marketers discovered empathy. They upvoted it because the finding matches a grievance everyone in tech has been feeling but executives keep ignoring: the AI label is being stapled onto products faster than the products are getting better.
The timing helps. We are two years into the generative-AI gold rush. Every earnings call mentions it. Every landing page has a sparkle icon. Every support chat pretends to be a friend. Consumers have had enough runway to form an opinion, and the opinion is not flattering.
There is also a delicious irony in the source. WordPress VIP - the enterprise arm of Automattic - published a report arguing that brands should be more human online, that bot fatigue is real, and that the website is still where trust lives. Then it spends six chapters explaining AI brand visibility tools and cites Parse.ly, which happens to be part of the WordPress VIP product family. The research is not wrong. It is also not neutral.
HN loves a statistic that confirms the vibe. This one arrived with receipts.
The numbers worth keeping
The report is marketing collateral, but the survey details are specific enough to quote:
| Finding | Number |
|---|---|
| Internet feels less human than 10 years ago | 74% |
| Average time before “bot fatigue” kicks in | 40 minutes |
| Cannot name any brand using AI well | 61% |
| Say no brand uses AI well at all | 16% |
| “AI” in brand messaging is a turnoff | 60% |
| Enterprise teams’ avg. weekly hours on AI visibility | 16.6 hours |
That last row is the one that should keep a CMO awake. Companies are burning most of a workday per person per week trying to show up inside ChatGPT answers, and the audience they are chasing cannot point to a single brand that has pulled it off.
Brian Solis, quoted in the report, lands the obvious line: “No customer or user wakes up and says, ‘I hope I get to talk to a chat bot or an AI agent today.’” The report’s own prescription? Use AI to be more human. Sure. Every vendor says that now. Consumers have heard it before breakfast.
The report also coins “bot fatigue” - the moment online interactions start feeling synthetic. Forty minutes is the average. I would have guessed lower for my own tolerance, but averages lie. The broader mood shift is the point: people are not rejecting technology. They are rejecting being talked to like a focus group for a technology they did not ask for.
What HN is actually arguing about
The top comments are not disputing the 60%. They are explaining it.
dbalatero framed it as a signaling problem: AI in product copy caters to venture capital and the tech industry, while consumers just want to know what the thing does. The buzzword is for the board deck, not the buyer.
nerdjon made the sharper historical comparison. Machine learning features worked fine for years in the background - photo sorting, spam filters, autocomplete - and nobody cared about the plumbing. The new wave does the opposite: technology first, benefit second. The UI gets worse. The label gets bigger.
Waterluvian compressed it to one line: AI feels like “quick and cheap at the cost of quality,” which is why consumers hate it and business people love it.
zx8080 went darker: when a brand says AI, people hear “we fired employees to make more money and stopped caring about quality.”
There is a minority thread about whether regulation is needed, and another about AI support bots that politely refuse to solve your problem. But the consensus is surprisingly boring: stop announcing the engine. Just drive.
The meta-argument is about the messenger. WordPress VIP sells hosted WordPress to enterprises. A report that says “invest in your website” and “measure AI citations” is not independent science. Several commenters will dismiss the whole thing on that basis. Fair. The consumer numbers still ring true even if the prescription is self-serving.
Read it / skip it
| If you care about… | Do this |
|---|---|
| Ammunition for killing an “AI-powered” headline in your next launch | Read the key findings section - 60% and 61% are the quotes you want |
| Enterprise AI visibility tooling landscape | Skim the tool category tables; useful snapshot, will age fast |
| Independent academic research | Skip - this is vendor content with a survey attached |
| Whether consumers secretly love AI | No - 16% say nobody is doing it well, and 60% are actively turned off by the label |
If you are deciding whether to put “AI” on the homepage: the report’s answer is no, unless you can name what changed for the user in one sentence without using the word. Most teams cannot. That is why the statistic exists.
The part nobody in the deck wants to say
For a decade, “machine learning” was infrastructure. Spam filters. Recommendations. Fraud detection. You did not put it on the box because the box was not the point.
Then ChatGPT happened, and every product manager discovered a new checkbox. The checkbox is not “make this better.” The checkbox is “mention AI before the competitor does.”
Consumers are not stupid. They have watched that movie with “blockchain,” “cloud,” and “metaverse.” The label arrives. The product does not change. Trust leaves.
Sixty percent saying the word is a turnoff is not anti-technology. It is anti-bullshit. The 61% who cannot name a brand doing AI well are not waiting for a hero. They are waiting for someone to shut up and ship.
Enterprise teams spending 16.6 hours a week on AI visibility are optimizing for a citation in a chatbot answer. The humans they are trying to reach tapped out forty minutes ago.
Discussion on Hacker News · Source: wpvip.com · Submitted by thm
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