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What's our role when AI starts citing itself?
Published 2 days ago • 5 min read
Hello Reader!
While I was in Japan, my friend Hannes told me about a short story he’d read. It was one of those eerie, near-future thought experiments that sticks in your head, and I can't stop thinking about it. In the story, AI becomes incredibly good at decision-making. Not just helpful—flawless. It analyzes every variable and always picks the best possible outcome. Naturally, people start trusting it. First, for small things: What should I eat? Which route should I take? Then bigger things: Which job should I accept? Should I break up with this person? Eventually, no one bothers weighing pros and cons. They just ask the AI. And the AI always knows. To reduce friction, the system evolves. Instead of detailed explanations, it offers two options: [Click] or [Click]. Left or right. Yes or no. A or B. There’s no need for context or reasoning anymore. You can trust the outcome. Because it works. And because it works, people stop asking questions. They stop thinking critically. They stop deciding. Over time, human brains atrophy. Judgment fades. Conversations shrink. Communication collapses into pure input-response behavior—just clicks. The story ends in a world where people no longer speak, argue, reflect, or even wonder. They simply click. The story is fiction. But, is it? Because now: I use AI for a wide range of tasks, including helping me ideate, summarize, edit, suggest, plan, and strategize (and I love many aspects of it). But I also notice how quickly I’ll default to its suggestions and how easy it is to let my own instincts take a backseat. The clicks are creeping in for me.
I also notice A LOT of brief writing, outlining, and even content creation has become a pile of thoughtless whateverness.
And across the web, we’re seeing something similar.
Ahrefs recently found that Google’s AI Overviews are more likely to cite AI-generated content than human writing. 87.8% of the sources were at least partially AI-assisted. AI is increasingly learning from AI. It’s a growing feedback loop where machine-generated content reinforces more machine-generated content. Now, obviously, this story is hyperbole and a bit of a cautionary tale for people who use AI in the wrong ways. But, but here’s what I’m wondering: What’s the balance in content marketing, especially when search starts to look like machines regurgitating machines? When is AI genuinely helpful, and when is it crowding out the creative thought process?
💡 Instagram posts are now visible in Google search. Whoa! Optimize those captions.
💡 The new martech stack is making us all generalists—with the ability to do a little bit of everything,” says Emily Kramer. Kramer's survey shows that marketers are embracing AI-driven workflow tools to automate, as well as create, analyze, and build faster.
IMO: The trend is exciting, but it’s moving fast enough to raise questions about long-term sustainability. We can create faster. But can we consume faster? Or do we want to?
Expert Interview | Divya Agrawal
Free consulting: One smart expert, one focused conversation that you can apply to your work.
1/ How do you approach turning highly technical subject matter into content that drives buying decisions?
My first step is to find out everything about the company using their internal materials- their market positioning, competitive advantages, the messaging they use to describe their own products/services, and their target audience. Once I understand each of these in detail, I can create content at that sweetspot between audience pain/desire, what the product can do for the target audience, and how the product stands against status quo or the competition (whichever applies). 2/ What do you think are the most critical elements that separate truly useful thought leadership from the sea of generic content?
Truly useful thought leadership meets the reader where they are and attempts to speak TO them, not AT them. It assumes the reader knows what they know- correctly, and then plants a question, or a new way of thinking/doing something in their mind, before elaborating on why the status quo doesn't work or won't work in the future and why XYZ is the solution. So, essentially, it meets the reader where they are and takes them on a journey to discover a better/newer way of doing something. Good thought leadership content has to be very personal and conversational, because even though it's a deeply complex technology, and as a ghostwriter, you might feel it's cold and alienated from you, for the reader of the content, it's their everyday life, and it affects their everyday life in some way. So, to find that thread, you have to speak to people immersed in the field and living that problem every day, which is where SMEs come in.
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1/ Why you shouldn't send your whole portfolio (Authory)
Are you sending your clients your full portfolio when they ask for select pieces? You’re making it harder to get hired. Kat Boogaard breaks down a better way.
Most AI content reads like it was written by a beige business suit. Erica teaches you how to fix that. She shows her exact process for editing AI writing into something worth reading.
Emily Kramer predicts that AI layers, enrichment, and workflow builders will be baked into every marketing tool—and that marketers will need to be part creative, part technical, and part analyst to thrive. Her latest MKT1 survey shows how fast the stack is shifting and which tools are quietly replacing CRMs, content ops, and project management.
AI Updates + Tools To Watch
Don't get left behind: The most useful AI updates and content tools worth paying attention to this week.
Nvidia’s CEO says AI will reshape every job, cause real harm (from lost work to flawed, even dangerous outputs) and also power breakthroughs like curing disease, while his $4T company becomes the gatekeeper of the entire system.
⚙️ Tool to watch: Atypica.ai simulates deep interviews with AI-generated personas to reveal what drives your audience's emotions, biases, etc.
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Ashley R. Cummings
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