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The Brands AI Recommends Give Customers Something Generic Content Never Could – Digital Reset Foundations (Episode 505)

Photo of man writing in notebook to illustrate the idea that the brands AI recommends give customers something generic content never could

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The cost of producing a 1,500-word article has collapsed to somewhere near zero. That’s the supply shock, one my friend Mark Schaefer has talked about for years as “content shock.” The question today, the one most marketing leaders haven’t priced correctly yet, is what that collapse does to everything else.

When a factor of production goes free and infinite, value doesn’t disappear. It shifts. And in marketing today, it’s shifted somewhere most content strategies aren’t looking.

Earlier this summer, Daniel Stanica tracked what happened to 100 once-successful blogs between 2022 and 2026. The median site lost 85% of its search traffic. Sixty-five of the hundred dropped by 50% or more. Only 21 grew. When Stanica dug into what separated the survivors from the ones that collapsed, he found four traits: firsthand experience that can’t be AI-summarized, an owned audience, a real product, and a brand name people search for by name.

That research came out just over a month ago. The episode you’re about to hear was recorded months before that existed. The market has since delivered its verdict. It straight-up confirms the argument Tim made before the evidence arrived.

This is a Digital Reset Foundations episode, revisiting Episode 492 — AI Made Content Free. Here’s What It Made Priceless, with a new introduction that connects the original argument with everything that’s happened since.

What You’ll Learn in This Episode

  • AI didn’t kill content marketing. It repriced it. The cheap parts of content marketing are now worth close to nothing. The expensive parts — your proprietary data, lived experiences, and genuine expert voice — have become more valuable, not less.
  • "AI slop" is the uncanny valley of content. More importantly, your customers’ detection systems are already activating. People flag content as AI-generated not just when it actually is, but when human-created content fails to sound human enough.
  • "Collapse to uniformity" is the structural threat underneath "AI slop." Research forecasts the internet will hit 90% saturation of similar content by 2035 — roughly 10 points of uniformity per year. Your opportunity to differentiation using AI is real… and it is closing fast.
  • The three assets AI cannot reproduce: proprietary data, original examples, and expert voice. Being willing to be wrong publicly is often what makes you worth listening to as well.
  • Three questions that will tell you where your content strategy actually stands… and what to do with the answers.
  • The answer is not to publish less. It’s to publish more of what’s scarce and less of what’s already abundant.

The Three Assets AI Cannot Reproduce

  • Proprietary Data

    • Data that only you have about your customers, your market, and your industry is yours alone to report. No AI can generate it. It’s your story to tell… and you need to tell it if you’re going to stand apart from generic AI-produced content.

  • Original Examples

    • Real customers, real projects, real outcomes, real experiences. There’s a reason we talk about our hotel clients and the businesses we’ve worked with. No one else has those specific experiences. Those stories back up our thinking and research with real-world evidence that no one else can claim.

  • Expert Voice

    • A specific, named prediction or opinion, even one you’re willing to be wrong about. Taking the risk of being wrong is exactly what makes you worth listening to. Safe, generic best practices are abundant. Your actual informed opinion, owned publicly, is rare.

    The Three-Question Content Audit

    Before the next episode, run these against your own content strategy:

    1. What is your ratio of proprietary to commodity content in the last 90 days? Are you building named assets that are yours alone, or generic outputs that any AI could produce?
    2. When a potential customer asks ChatGPT, Gemini, Claude, or Perplexity about your category, what specifically about your brand shows up? Is it something only you could have said — or could it have been written by anyone?
    3. Who on your team is your named voice? Are you amplifying their signal? Or are you burying it in a content calendar of undifferentiated output?

    Key Data Points From This Episode

    • NBER research using Pixiv data shows generative AI is crowding out human creators
    • Ahrefs: 86.5% of top-ranking pages now contain some amount of AI-generated content
    • Nature research on model collapse and "collapse to uniformity": textual similarity across the web is projected to reach 90% saturation around 2035
    • At roughly 10 points of AI detection per year, 25-30% of customers will actively demand authenticity within two to three years… if they aren’t doing so already

    Resources Mentioned

    Related Episodes

    Buy the Book — Digital Reset: Driving Marketing and Customer Acquisition Beyond Big Tech

    Don’t miss Tim Peter’s book Digital Reset: Driving Marketing Beyond Big Tech. You can learn more about it here on the site. Or buy your copy on Amazon.com today.

    See Tim Peter in Action

    Watch Tim Peter break down why the brands winning in AI right now didn’t produce more content — and why the work you do in the next two to three years will determine whether you’re still visible when the window closes.

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    Contact information for the podcast: podcast@timpeter.com

    Technical Details for Digital Reset

    Recorded using a Shure SM7B Vocal Dynamic Microphone and a Focusrite Scarlett 4i4 (3rd Gen) USB Audio Interface.

    Running time: 24:18

    Transcript: The Brands AI Recommends Give Customers Something Generic Content Never Could — Digital Reset Foundations (Episode 505)

    The brands that AI recommends give their customers something generic content never could.

    It’s critical you keep that fact in mind even as AI drives down the cost of content creation and curation. Yeah, you can use AI to put together all kinds of posts and pages and podcasts. But do any of those actually help your customers?

    I’ve addressed this concept a couple of times in recent months, and the evidence keeps getting stronger. Earlier this summer, I covered research from Daniel Stanica that tracked one hundred once-successful blogs between 2022 and 2026. The results were devastating. The median site lost eighty-five percent of its search traffic. Sixty-five of the hundred dropped by fifty percent or more. Only twenty-one of those blogs grew.

    When Daniel dug into what separated the 21 that survived from the seventy-nine that collapsed, he found four traits they had in common: firsthand experience that can’t just be summarized by an AI; an owned audience blogs could connect to directly; a real product; and a brand that their readers were willing to search for by name.

    That research came out this year, just a couple of months ago. The episode you’re about to hear was recorded a couple of months before that research existed.

    In the earlier episode, "AI Made Content Free: Here’s What Made It Priceless," I argued that AI has driven the cost of producing content to effectively zero. And that when anyone can create massive volumes of content for free, the value of your content doesn’t also fall to zero. Instead, the value shifts.

    What’s become priceless isn’t just content. Instead, it’s what’s behind that content. Your own real lived experiences, your genuine relationships with your customers, your authentic, honest, expert voice, and the data that only you have about what matters to your customers in their lives every day.

    Stanica’s hundred blogs showed what happens to generic content in reality. The blogs that collapsed built their businesses by churning out content that any AI could produce. They were optimizing for algorithms, not creating for people. The blogs that survived built their businesses on content only they could produce. The market told them what matters, and it’s telling you too.

    Now, here’s what makes this more urgent than when I first recorded the original episode. We’re not just talking about blogs here. We’re talking about any business whose customer acquisition depends on content, which essentially is every business. Still. Content is king. It’s the first, most frequent, and sometimes the only interaction your customers will have with your brand before they buy.

    The pattern in Stanica’s blog data is playing out with organic search, it’s playing out with AI recommendations, and it’s playing out in the verification behaviors that customers exhibit after they hear about your brand from an AI tool. The brands that AI recommends consistently, the ones that customers find and verify and choose, are the ones building something no one else can claim. Not more content. Not optimized content. Better content. More useful content. And most importantly, more authentic content. Content that only they can create.

    That’s what we’re talking about here today. It’s one of the most important arguments I can make, and the market has now backed it up in ways I didn’t have access to when I first hit record. I think you’re gonna find it even more valuable today than it was the first time around.

    I’m Tim Peter. This is Digital Reset Foundations, episode 505. Let’s dive in.

    It’s abundantly clear that AI-generated content is here and that it’s absolutely flooding digital spaces every single day. You do not need me to tell you that. You see it every single day. If you’re interested in some of the economic underpinnings though, there’s a National Bureau of Economic Research paper from Kim, Jin, and Lee, published earlier this year that used Pixiv data and shows that generative AI crowded out human creators. I’ll link to it in the show notes. Similarly, research last year from Ahrefs said that "86.5% of top-ranking pages contained some amount of AI-generated content." That’s a quote. While I have a few quibbles with their methodology, I’m relatively convinced that a fairly healthy chunk of content on the web involves AI in its production somewhere along the way, just as their research found, and again I’ll link to their research in the show notes.

    Finally, some research from Graphite.io claims that, and this is a quote, "the quantity of AI-generated articles has surpassed the quantity of human-written articles being published on the web." They claim, contra Ahrefs’ findings, that these articles quote "largely do not appear in Google and ChatGPT." They also ignore "AI-generated/human-edited articles," while noting that quote, "they may be even more prevalent." Ya think?

    Regardless, the market has responded about like you’d expect it to. When any input goes free, the scarce things become more valuable. In this case, the things that matter more than ever are human creativity, human connection, and human insight.

    There’s a paper that got a lot of attention in the scientific community last year called "AI models collapse when trained on recursively generated data." Published in the journal Nature. The researchers showed that when AI trains on data generated by AI, it gets progressively worse over time. The outputs become less accurate, less nuanced, less human. And eventually, the model collapses in on itself. An AI made of AI’s. That’s clearly a problem if you’re an AI company. It’s also a problem for your content marketing strategy if you’re relying on AI to generate all of your content. I’ll link to that research in the show notes as well.

    The more immediately relevant research for you as a marketer is the follow-on work about "collapse to uniformity" and the steady increase in what researchers call "textual similarity" across the web since AI started publishing in the 2010s. Similar AI-generated outputs have accelerated ever since ChatGPT’s earliest models, and are projected to reach 90% saturation around 2035. If that forecast holds, and I think it’s likely, we’re adding roughly 10 points of uniformity — bland, boring, blah content — every year.

    And here’s what’s most interesting about that from a marketing perspective. That means the window for you to differentiate your content is not just some theoretical abstraction that might exist at some point in the future. It’s very, very real, and it is closing on you right now.

    Of course, the deeper reason for all of this is that as AI-generated content reaches its saturation point — and I said saturation, not quality, those are different things — your customers begin to notice. And for a sizable chunk of your customers, they’re not going to like what they see.

    Humans have always been pretty good at detecting inauthenticity. We know when people are being fake. We know when people are saying things that don’t sound right, that don’t feel right. And we can tell when content doesn’t sound human enough, when it doesn’t sound right, when it’s too corporate, too polished, too fake. And so humans increasingly are flagging content they don’t like as, and I’ll use the technical term here, "AI slop." And customers who don’t like your AI slop are not going to convert. They’re going to bounce and find somebody else.

    Now, it’s also worth saying that all of this isn’t limited to content that was actually generated by a machine. It’s also happening when content doesn’t sound human enough. This is the uncanny valley problem for content marketing. Your customers want to deal with real human beings, and they want those human beings to create content that connects with them. And if AI slop, or what is sometimes referred to as "AI washing" — slapping some AI on your content to automate it — if that doesn’t connect with them, they will look for something that does.

    The most relevant question you need to ask yourself is, over the next couple of years, how much of this is going to affect your customer base? Let me give you my prediction. If we’re picking up 10 points of AI detection every year, it’s likely that a healthy chunk of customers — 25 to 30% — will demand that you be real, that you be clearly real, in the next couple of years, if they’re not already demanding it of you today. That’s where I got that two-to-three year number in the intro.

    By the way, as a quick aside, I cannot talk about this topic any further without referencing my very good friend, Mark Schaefer. Mark has written extensively on this topic and has influenced my thinking significantly. His mantra about how the most human company wins in the age of AI echoes in my brain almost every single day. I cite him in my book. He’s just a key, key speaker on this topic that you want to know about. I’m going to link to some of his thoughts in the show notes, and I would encourage you to check those out and follow him regularly.

    At any rate, that’s why focusing on human connection to your customer isn’t just scarce. It’s the most precious asset you can build. Your voice — the true you — is the most precious asset you can build.

    That’s why your content can no longer just be a generic explainer or a how-to video. They’re dead. They don’t work anymore. They don’t matter.

    Instead, you have true, scarce, valuable assets that your content must put to work today. What are they? Well, they include several things.

    The first is proprietary data. Data that you have, that you can see, and that no one else can about your customers, your market, your industry, and the world at large is something that no one else can talk about with the genuine expertise and insight that you bring to the table. It’s your story to tell, and you need to tell it if you’re going to stand apart from generic AI-generated drivel.

    The second are original examples. Talk about what you’ve lived in real life — your customers, your projects, your outcomes, your experiences. There’s a reason I talk about my hotel clients and other businesses I’ve worked with on this podcast, and that’s because no one else has those specific experiences. They back up my thinking and research with real-world examples that no one else can claim. It works for my business. It’ll work for yours too.

    The third, of course, is expert voice. Your expert voice. Did you notice my two-to-three year timeline that I mentioned earlier? That’s my opinion. I don’t have anything other than my expertise, my experience, and my assessment of the data that exists to back that up. I could be wrong. I could absolutely be wrong. Maybe it’s four years. Maybe it’s one and a half years. I don’t know, but I’m willing to put my name on it and make a prediction to stand out from the crowd. I’m willing to take the risk of being wrong because I believe it will help you now and it will help you in the future. And candidly, because it will help others know who I am too. If I’m right, everybody wins. If I’m wrong, I will either learn and improve — or no one should listen to me anyway. Right? Period.

    Together, those three attributes help me build a connection with my clients and listeners to the podcast and audiences on social media. They all work together to build the Digital Reset brand and to foster a community of like-minded individuals who are committed to learning and growing together. That same approach can work for you too.

    Here’s how I would do it.

    Start by asking yourself three questions this week.

    First, what is our ratio of proprietary to commodity content over the last 90 days? Are we building named assets all our own, or just generic outputs that any AI could produce?

    Two, when a potential customer asks ChatGPT, Gemini, Claude, or Perplexity about our category, what specifically about us shows up? Is it a reference that could have been written only by us? Or could it have been written by anyone? One of those is better for your brand long-term than the other, as you might expect.

    Three, who on our team is our named voice? Are we amplifying their signal? Are we boosting their signal? Or do they get buried in the content calendar of just generic stuff we put out there? Think about which of those has a future too.

    One big takeaway these questions should point you to is to focus on what makes you… you. What makes your brand stand apart? What makes you distinct? What makes you different from anyone else in the space — and different enough that people will listen to you, and different enough that eventually people will give you money? Not for your content, but for the solutions and products and services that you offer. That’s where you want to live. That’s where you need to live — because in two to three years, if you don’t already live there, you are in big, big trouble.

    Also, I don’t want you to listen to this episode and necessarily think, "we need to publish less content." I mean, sure, this is about quality over quantity. Absolutely true. But it’s about publishing more of what’s scarce and less about publishing what’s already abundant.

    That’s why I wrote the introduction to this episode — and the whole episode, for that matter. Not because I can write faster or cheaper than artificial intelligence. I can’t.

    But because only I can produce the most scarce resource of all: me. For better or worse, when you’re hearing these episodes — when you’re watching them on YouTube or listening to them on Spotify — you’re hearing my experiences, you’re hearing my data, you’re hearing my voice. And that will be true today, two to three years from now, and for as long as you’re willing to keep listening.

    AI did not kill content marketing. AI will not kill content marketing. What it’s done is make the cheap parts worthless and the expensive parts crucial. Your job is to know which is which. Your job is to put your focus on the parts that are crucial. And it’s to do that now and in the longer term too. And if you get that right, you don’t have to worry about the next two to three years or the next nine. You’ll be in great shape no matter what happens.

    Now, there are two things coming up over the next couple of weeks I want to make sure you know about. First, we’ve got an all-new episode next week that looks at the other side of the coin here — what happens when your customers find you via AI. They don’t just buy. They verify. And understanding what they do during that verification step, and what you need to have in place to make sure they choose you, is going to be really, really critical for your business going forward.

    And then the week after that — we’re going to dive into Big Tech’s Q2 earnings. And given everything we’ve covered this summer — the gatekeeper cycle, the blogging collapse, the changing customer journey — I think you’re going to find that those earnings numbers look very, very familiar.

    If this episode gave you a clearer picture of how to approach content marketing in the age of AI, do me a favor. Send it to a colleague who’s thinking about that problem for your business. You might just save them from going down the wrong path.

    You can find the show notes for this episode, as well as a full archive of past episodes, at timpeter.com/podcasts.

    And if you’re ready to go deeper on making your brand the answer that AI reaches for, my book, Digital Reset: Driving Marketing and Customer Acquisition Beyond Big Tech, is the roadmap you need. You’ll find the link in the show notes.

    Thank you so much for listening today. I genuinely appreciate you. Until next time, please be well, be safe, and be excellent to each other. I’ll see you soon.

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