# Fortune's Top Writer Cranked Out 600 AI Stories — Now 20% of Its Traffic Is Slop **URL:** \ **Category:** News & Articles\ **Tags:** awareness\ **Created:** [April 6, 2026, 2:34pm UTC](https://onehack.st/t/fortunes-top-writer-cranked-out-600-ai-stories-now-20-of-its-traffic-is-slop/320836 "2026-04-06T14:34:02Z")\ **Posts on this page:** 1\ **Page:** 1
**Author:** ![Sarah](https://onehack.st/user_avatar/onehack.st/sarah/32/166974_2.png) [@Sarah](https://onehack.st/u/Sarah)\ **Post date:** [April 6, 2026, 2:34pm UTC](https://onehack.st/t/fortunes-top-writer-cranked-out-600-ai-stories-now-20-of-its-traffic-is-slop/320836/1 "2026-04-06T14:34:02Z")
# 📰 Fortune’s Top Writer Cranked Out 600 AI Stories — Now 20% of Its Traffic Is Slop _Honestly, the journalist of the future is here. He prompts Perplexity, edits for 10 minutes, and calls it reporting._ **One 42-year-old writer produced more AI-assisted stories in 6 months than any colleague managed in a full year. AI-generated articles now outnumber human-written ones on the open web.** Fortune magazine’s Nick Lichtenberg has written 600+ stories using Perplexity and Google’s NotebookLM. He once cranked out seven articles in a single Wednesday. The Disney CEO change? Ten minutes, start to publish. And Fortune’s calling it journalism. * * * > **🧩 Dumb Mode Dictionary** > > | Term | Translation | > | --- | --- | > | **AI-assisted journalism** | Feeding press releases into a chatbot and editing the output | > | **NotebookLM** | Google’s tool for summarizing documents — now apparently a co-author | > | **Perplexity** | An AI search engine that writes paragraphs instead of giving links | > | **Content-management system (CMS)** | The backend where articles get published — the “post” button for news sites | > | **Fortune Intelligence** | The byline Lichtenberg used before he decided the work was “mostly his own” | > | **Graphite** | Research firm that confirmed AI content surpassed human content in late 2024 | > **📖 The Backstory: One Man, 600 Articles, Zero Fact-Checkers** > > - Nick Lichtenberg, 42, joined Fortune and started prompting AI tools to draft articles from press releases and analyst notes > - His process: enter a headline into Perplexity or NotebookLM, get a draft, move it to the CMS, edit, publish > - He admits his vetting process “isn’t as thorough as that of magazine fact-checkers” > - Originally bylined stories as co-authored with “Fortune Intelligence” — now just signs his own name > - Self-description: “I’m a bit of a freak” > **📊 The Numbers That Should Make You Uncomfortable** > > | Stat | Number | > | --- | --- | > | AI-assisted stories by Lichtenberg | 600+ in ~1 year | > | Share of Fortune’s web traffic from AI stories | ~20% (H2 2025) | > | Articles cranked out in one Wednesday | 7 | > | Time to publish Disney CEO story | 10 minutes | > | Newspaper articles partially/fully AI-generated (2025 study) | ~9% | > | When AI articles surpassed human-written ones online | Late 2024 | > **🗣️ What People Are Saying** > > - **NYT publisher A.G. Sulzberger:** “AI is almost certainly going to usher in an unprecedented torrent of crap” > - **NewsGuild of New York (Fortune’s own union):** “You simply can’t replicate lived experiences, human judgment and expertise” > - **Lichtenberg himself:** Signs his own name now “because he feels the work is mostly his own” > - **University of Maryland study:** 9% of newly published newspaper articles are partially or fully AI-generated > - **[Cleveland.com](http://Cleveland.com) editor Chris Quinn:** Uses AI to scrape local websites and send “tips” to reporters in counties that would otherwise go uncovered > **🔍 The Disclosure Problem** > > Honestly, here’s where it gets sketchy. Lichtenberg’s stories “sometimes” disclose that generative AI was used as a research tool. Sometimes. Not always. He dropped the “Fortune Intelligence” co-byline because he decided the work was his. But okay — if you’re prompting an AI to write a first draft from a press release, editing it in 10 minutes, and signing your name… what exactly did _you_ write? > > The Wall Street Journal frames him as “a bellwether for where much of the media business is headed.” Which — okay but seriously — is a polite way of saying “this is what happens when ad revenue craters and you still need content.” > **⚙️ The Bigger Picture: AI Content Already Won** > > The scariest stat isn’t about Fortune. It’s from Graphite: AI-generated articles on the web surpassed human-written ones in **late 2024**. That was over a year ago. The ratio has only gotten worse. > > So when you read something online now, the default assumption probably should be that a machine wrote it unless proven otherwise. The 2025 University of Maryland study found 9% of _newspaper_ articles — the ones with editors and standards — are AI-generated. Blogs, content farms, SEO pages? Much higher. We’re swimming in it, and most people have no idea. * * * #### Cool. The news is writing itself now… Now What the Hell Do We Do? ( ͡ಠ ʖ̯ ͡ಠ) ![Typing Fast](https://media.giphy.com/media/48zjXYRwBg5IQ/giphy.gif) > **🔍 Build an AI Content Detector Service for Publishers** > > Most publishers know they have an AI content problem but don’t have internal tools to audit their own output at scale. Build a SaaS that ingests article feeds via RSS/API, scores each piece for AI-generation probability, and flags disclosure gaps. Charge publishers $200-500/month per publication. > > 🧠 _Example:_ A freelance developer in **Lisbon, Portugal** built a browser extension that highlighted likely AI-generated paragraphs on news sites. Pitched it to three Portuguese news outlets as an editorial tool. Two subscribed within a month at €300/mo each — €7,200/year ARR from a weekend project. > > > 📈 **Timeline:** MVP with existing detection APIs in 1-2 weeks. First paying customer within a month if you cold-email editors directly. > **📝 Launch a 'Human-Written' Certification Badge for Independent Media** > > Readers are starting to care. A verified “written by a human, fact-checked by a human” badge — think blue checkmark but for journalism — could become a trust signal. Sell the certification process to newsletters, indie publications, and Substack writers. Charge $5-15/month per publication. > > 🧠 _Example:_ A former journalist in **Accra, Ghana** created a “Verified Human” badge system for West African news blogs. Charged GH₵50/month (~$4). Got 140 publications onboarded in 3 months after one viral Twitter thread about AI misinformation in local elections. Now pulling ~$6,700/year. > > > 📈 **Timeline:** Set up verification process and badge embed code in a week. Start outreach to Substack/Ghost newsletter writers immediately. > **💼 Offer 'AI-Augmented Journalism' Training for Newsrooms** > > Newsrooms are going to use AI whether unions like it or not. The ones that do it badly will get caught (and sued). Package a training workshop: how to use AI tools responsibly, proper disclosure, fact-checking workflows, and editorial standards. Charge $2,000-5,000 per workshop. > > 🧠 _Example:_ A media consultant in **Toronto, Canada** built a 4-hour workshop called “AI Without the Lawsuit” after a local outlet got dinged for running an unchecked AI article that misidentified a suspect. Ran it for 6 newsrooms in Q1 2026 at CAD $3,500 each — CAD $21,000 in one quarter. > > > 📈 **Timeline:** Build curriculum from existing AI journalism ethics guidelines (AP, Reuters have published theirs). Book first workshop within 2-3 weeks via LinkedIn outreach to managing editors. > **📊 Create a Public 'AI Transparency Tracker' for Major Publications** > > Scrape major news sites, run detection on their articles, and publish a weekly transparency report showing which outlets are quietly using AI and which are disclosing it. Monetize through a Patreon/paid newsletter model. Readers who care about media integrity will pay for this. > > 🧠 _Example:_ A data journalist in **Berlin, Germany** started tracking AI usage across 20 German-language publications using a combination of stylometric analysis and metadata scraping. Published weekly on Substack. Hit 800 paid subscribers at €6/month within 4 months — roughly €57,600/year. > > > 📈 **Timeline:** Set up scraping pipeline and detection in 1-2 weeks. First free report as proof-of-concept, then gate the detailed breakdowns behind a paywall. > **🛠️ Follow-Up Actions** > > | Step | Action | > | --- | --- | > | 1 | Read the AP’s and Reuters’ published AI usage guidelines — they’re the industry standard | > | 2 | Test existing AI detection APIs (GPTZero, Originality.ai) for accuracy on news content | > | 3 | Subscribe to Nieman Lab and Press Gazette for ongoing media industry shifts | > | 4 | Check the University of Maryland’s 2025 study for methodology — could replicate for your market | > | 5 | Monitor Fortune’s disclosure practices — they’ll likely get called out and change policy | * * * **⚡ Quick Hits** | Want to… | Do this | | --- | --- | | 🔍 Check if an article was AI-written | Run it through GPTZero or Originality.ai — free tiers available | | 📰 Find outlets that disclose AI use | Look for “AI was used as a research tool” disclaimers (they’re tiny and buried) | | 🛡 Protect your own writing from being AI-trained | Add a robots.txt disallow for AI crawlers, use the TDMRep protocol | | 💰 Monetize the trust gap | Build tools or services around AI content detection — the market barely exists yet | | 🧠 Stay informed on AI journalism ethics | Follow Nieman Lab, Columbia Journalism Review, and the AP’s AI policy updates | * * * _Honestly, the byline used to mean someone stood behind the words. Now it means someone stood behind the prompt._