Right now, a marketing team is celebrating the output.The tool that used to take a week to produce a campaign now does it before lunch.
Meanwhile somewhere else, a buyer is scrolling past all of it, and it all sounds like it came from the same geeky polite intern.
The numbers
Gartner surveyed 1,006 US consumers in May and June 2026 and published the results on September 22 and two findings are worth it.
65% of consumers believe brands are producing too much AI-generated content in their marketing and 57% say that content has made them less trusting of brand messaging overall.
A fair flag before we go further and this is consumer data, not a survey of B2B buyers. We are using it as a signal, not as proof that your buyers behave identically. The people who buy a CNC machine, retain a law firm or approve a software contract are the same people who scroll a phone at 6pm.
Volume win
The pitch for generative AI in marketing was simple. Everyone is making more, faster, cheaper.
That is exactly the problem. When everyone can publish at scale, scale stops being an advantage. It becomes the baseline. And the baseline, as it turns out, is starting to cost trust.
The same survey says 43% now rely more on real people for shopping information and recommendations because of the amount of AI-generated content around and a further 35% rely on influencers less often for the same reason.
Machine-made content gets cheaper, human judgment gets scarcer.
The part Gartner did not say (but we will)
Gartner’s own analyst, Emily Weiss, was careful. “The answer is not to avoid AI. The answer is to use it thoughtfully.” We agree. Nobody serious is arguing for a return to typewriters.
The recommendation in the release is to use AI to improve relevance, creativity and customer experience, not to multiply output volume. That one line quietly dismantles a lot of content calendars.
Here is the uncomfortable reframe. If your content strategy is measured in pieces published per month, you are optimising the one thing the market has stopped rewarding.
Weiss also said credibility, transparency and demonstrated expertise matter more than ever. [A named person, a claim with a source and a point of view.]
None of these can be mass-produced, which is the whole point. A tool can draft the paragraph. It cannot be the person who stands behind it.
Digital Maturity is mostly subtraction
This is where firms get it backwards. They hear “AI fatigue” and conclude they need better AI content. More polish. A smarter prompt.
The mature move is usually the opposite. Publish less. Prove more. Put a real expert’s name on the work that matters, and let AI handle the drafting, the formatting and the tedious parts around it.
That is what we mean by Digital Maturity. It is not how many tools you run. It is whether your Digital Engagement earns attention or just occupies space. In our PIE Framework (Plan, Implement, Engage), the last word does not mean “post more”. It means the thing after going live, where someone on the other side of the screen decides whether they believe you. You can read how we think about it at essentiate.com/pie-framework.
The Monday morning question
Take your last ten published pieces, ask if the logo were removed, could a buyer tell it came from you?
If the answer is mostly no, the problem is not production.
The firms that win the next stretch will not be the ones that out-publish everyone. They will be the ones that sound like someone.
Essentiate brings a partner’s view to your Digital Engagement: fewer pieces, more proof, and a plan that puts your real expertise where buyers can see it.
