I stumbled upon three separate articles about writing and AI in the identical week, every from a totally totally different angle, and all describing the identical factor.
A novelist turned MIT writing lecturer confronting college students who outsourced their essays to AI. A brand new Graphite research exhibiting AI-generated articles now make up roughly half of all new content material on the net and have plateaued there. And recent information from The Accountancy Partnership exhibiting that half of freelance creatives say rising stress is affecting their work, as shopper budgets for human artistic providers shrink.
One information level is a reality. Two is a coincidence. Three is a pattern.
When learn collectively, these articles fashioned an argument that each website positioning skilled, content material marketer, and inventive freelancer ought to take severely, acknowledging the content material divide that’s occurring and asking, “Which aspect are you on?”
The First Story: What Occurs When College students Outsource The Wrestle
On Might 10, Micah Nathan, a novelist and MIT lecturer in fiction and non-fiction writing, printed a bit in The Guardian about confronting his artistic writing college students over their AI use. The confession session that adopted, he wrote, turned one of the vital productive instructing moments of his eight years at MIT.
His key perception wasn’t about educational honesty. It was about what writing really does. “Writing isn’t simply the manufacturing of sentences,” he informed his college students. “It’s the coaching of endurance by means of sustained consideration. It’s a method of studying what one thinks by trying to say it. An LLM can reproduce the looks of that exercise, however it will probably’t change it, as a result of the worth lies not solely within the object produced however within the transformation that happens throughout its making.”
He described AI prose as “faultily faultless, icily common, splendidly null,” borrowing Tennyson’s description of a ravishing however empty face, producing what he referred to as “simulacra of thought, generated through sample recognition realized from thousands and thousands of human-penned phrases, rooted in no specific expertise by no specific particular person.”
Insightful readers, he argued, really feel that vacancy even when they’ll’t articulate it.
For website positioning professionals, this isn’t an summary literary concern. It’s a exact description of the content material high quality downside that Google’s useful content material methods have been making an attempt to unravel since 2022. The sign Google is looking for is strictly what Nathan identifies because the factor AI can’t produce – proof of a thoughts actively grappling with a particular downside from a particular expertise. Sample recognition learns from what people wrote. It can’t replicate why they wrote it.
→ Learn Extra: Why Nice Content material Is No Longer Sufficient & What Beats It In AI Search
The Second Story: The Feared Takeover Hasn’t Occurred – But
On Might 15, Megan Morrone reported for Axios on new information from digital advertising company Graphite, which analyzed 55,400 on-line articles and listicles printed between January 2020 and March 2026, working every by means of three AI-detection instruments. The discovering was extra nuanced than most AI content material protection has been concerning the share of primarily AI-generated content material, which has held close to 50% for greater than a 12 months and seems to have plateaued.
The dreaded takeover hasn’t materialized. AI content material briefly surpassed human-authored content material in late 2024, however the two have stayed roughly equal since.
The essential caveat Morrone included is that many articles are not written purely by people or AI. A human could use AI for outlining, drafting, rewriting, or enhancing, making the road genuinely blurry. Dan Klein, a UC Berkeley professor and AI mannequin CTO, flagged the suggestions loop threat. As soon as fashions practice closely on AI-generated content material, the web might turn out to be a machine that produces low-quality content material that trains fashions that produce extra low-quality content material.
For website positioning professionals, the plateau is reassuring and cautionary in equal measures. The amount panic was overstated. However the high quality dilution downside is actual and rising, and it creates the identical alternative Nathan recognized from the opposite path. In an internet that’s roughly half AI-generated content material, content material that carries real human expertise and particular experience turns into extra differentiating, not much less.
→ Learn Extra: AI Platform Founder Explains Why We Want To Focus On Human Habits, Not LLMs
The Third Story: The Folks Producing This Content material Are Underneath Severe Stress
On Might 13, Emma Hull at The Accountancy Partnership immediately emailed me information from a brand new report on artistic freelancers throughout PR, advertising, performing arts, graphic design, pictures, and adjoining industries. Half of freelance creatives (50.7%) say rising stress ranges are affecting their work. Half (50.2%) say shopper funds cuts are the largest problem they confronted in 2025. Over two in 5 (43.3%) imagine AI will negatively have an effect on their sector. Almost half frequently work unpaid hours every week.
Lee Murphy, Managing Director at The Accountancy Partnership, put it plainly: “Artistic work is usually intently linked to advertising budgets and discretionary spending. When companies start tightening prices, artistic providers can generally be one of many first areas to see decreased funding.”
The irony embedded in these three numbers collectively is price reflecting on. Purchasers are reducing budgets for human artistic work on the identical time AI is producing roughly half the content material on the net, whereas a professor at MIT is documenting the particular cognitive price that outsourcing the writing course of extracts from anybody who does it, whether or not a scholar or knowledgeable.
The freelancers underneath probably the most stress are those most tempted to make use of AI to supply extra content material sooner to compensate for decrease charges. The content material they produce that method turns into a part of the 50% that’s indistinguishable from machine output. And content material that’s indistinguishable from machine output is strictly what the Graphite information and Google’s high quality methods are coaching customers and algorithms to low cost.
→ Learn Extra: Relying Too A lot On AI Is Backfiring For Companies
What The Sample Truly Means
The three tales, learn collectively, describe a market within the strategy of bifurcating. On one aspect sits high-volume, low-differentiation content material produced shortly, priced cheaply, and more and more arduous to tell apart from AI output, no matter who generated it. On the opposite sits content material that carries particular experience, direct expertise, and the editorial judgment that Nathan’s college students have been making an attempt to skip previous. Content material that takes longer, prices extra, and is more and more the one type that earns significant search visibility and reader belief.
This isn’t a brand new argument in website positioning. What’s new is the empirical readability with which three impartial sources from three solely totally different disciplines – literary training, internet content material evaluation, and freelance labor economics – are all pointing on the identical conclusion in the identical week.
Shelley Walsh made the purpose in her current Search Engine Journal piece on scaling AI content material that the commodity versus non-commodity divide is the place the actual strategic query lives. The three tales above are proof that the divide is already right here, already measurable, and already affecting individuals’s livelihoods.
The writers who perceive this, and produce accordingly, are those who will nonetheless have work price doing when the funds cycles flip once more.
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