{"id":3533,"date":"2025-10-18T20:56:29","date_gmt":"2025-10-18T20:56:29","guid":{"rendered":"https:\/\/h1copy.com\/blog\/?p=3533"},"modified":"2025-10-25T11:16:24","modified_gmt":"2025-10-25T11:16:24","slug":"how-ai-broke-writing-and-what-comes-next","status":"publish","type":"post","link":"https:\/\/h1copy.com\/blog\/how-ai-broke-writing-and-what-comes-next\/","title":{"rendered":"How AI Broke Writing \u2014 And What Comes Next"},"content":{"rendered":"\n

I lost faith and I wasn’t alone. <\/p>\n\n\n\n

I\u2019ve been working as a content writer for almost six years now. Writing paid my bills, and honestly, it\u2019s the coolest career choice I could\u2019ve imagined.<\/p>\n\n\n\n

But last year, I shared a LinkedIn post about my struggle \u2014 the uncertain environment created by all the \u201cAI is coming for your job\u201d chaos and the \u201cthis is the end for B2B writers\u201d panic.<\/p>\n\n\n\n

I almost made up my mind to quit writing. I even spoke to people in the industry \u2014 writers who weren\u2019t in the top 1% \u2014 and most of them mentioned two things: first, they weren\u2019t getting enough work; second, they were trying to transition into other careers. Even the top 1% folks were somewhat pessimistic \u2014 or at least self-doubt was lurking in, quietly. <\/p>\n\n\n\n

So what happened now?<\/p>\n\n\n\n

It might be a little early to say this out loud, but \u2014 the whole fiasco seems to have escalated too quickly. A report by Graphite titled \u201cMore Articles Are Now Created by AI Than Humans<\/a>\u201d almost reads like a moment of celebration. \u201cIt feels almost too emotional to say out loud \u2014 humans still need human writing!\u201d<\/p>\n\n\n\n

The study suggests that while AI-generated content has become widespread because of its low cost and improving quality, it rarely performs well in Google or ChatGPT results \u2014 hinting that human oversight and originality still matter.<\/p>\n\n\n\n

<\/span>Does the Graphite study prove anything?<\/span><\/h2>\n\n\n\n

Remember all those AI bros shouting their lungs out about how they used AI to churn out hundreds of blogs in record time. Or those LinkedIn posts where you had to leave some self-deprecating comment like \u201cAI blog mastery\u201d just to get access to their \u201cframework\u201d that supposedly saved them millions and made them billions \u2014 but they were giving it all away for free?<\/p>\n\n\n\n

Whether or not they actually achieved what they claimed \u2014 one thing\u2019s for sure: they were writing and publishing AI-generated blogs. I\u2019m not talking about using AI to format, edit, or polish your original writing. I\u2019m talking about completely AI-written content.<\/p>\n\n\n\n

This is where Graphite\u2019s study comes in. After all that AI-generated content being pumped out for search engines and LLMs to index, how much of the internet did it actually populate? <\/p>\n\n\n\n

So, Graphite analyzed 65,000 English-language articles from CommonCrawl \u2014 and the researchers found that the number of AI-generated articles officially surpassed human-written ones in late 2024.<\/p>\n\n\n\n

That means there\u2019s now more content online created by machines than by people. Which feels like blasphemy. <\/p>\n\n\n\n

\"graphite
Source: Graphite<\/a><\/figcaption><\/figure>\n\n\n\n

But here\u2019s the anticipated twist \u2014 the sheer volume of AI-generated content has actually stalled since mid-2024.<\/p>\n\n\n\n

Why? Because, as Graphite suggests, many publishers discovered that AI content doesn\u2019t perform well in Google Search or even in ChatGPT\u2019s own retrieval results. In other words \u2014 sheer volume doesn\u2019t translate to more eyeballs or conversions. <\/p>\n\n\n\n

This study also makes you wonder \u2014 is it just that AI-generated writing isn\u2019t good enough yet, or is this the beginning of a larger snowball effect leading toward an AI bubble?<\/p>\n\n\n\n

<\/span>There\u2019s definitely an AI bubble \u2014 or is there? <\/span><\/h2>\n\n\n\n

If you really want to understand what\u2019s going on, here\u2019s a diagram from Bloomberg<\/a> that\u2019s been making the rounds on the internet. It illustrates the complex web of financial, technological, and strategic relationships fueling the booming AI ecosystem \u2014 powered mainly by Nvidia and OpenAI.<\/p>\n\n\n\n

\"Bloomberg
Image: Bloomberg<\/a><\/figcaption><\/figure>\n\n\n\n

It showcases how market leaders \u2014 Nvidia, OpenAI, Oracle, Microsoft, AMD, Intel, and several emerging AI startups \u2014 are interconnected through hardware supply, multi-billion-dollar investments, cloud services, and venture capital. The circle sizes represent market values, highlighting the dominance of giants like Nvidia ($4.5T), OpenAI ($500B), and Oracle.<\/p>\n\n\n\n

That said, the most important insight. Nvidia has agreed to invest up to $100 billion in OpenAI<\/a>, a move that allows OpenAI to use those funds to purchase Nvidia\u2019s powerful AI chips and deploy roughly 10 gigawatts of Nvidia systems for its next-generation data centers. <\/p>\n\n\n\n

At the same time, OpenAI struck a $300 billion cloud infrastructure deal with Oracle<\/a>, even though its annual recurring revenue (ARR) is only about $13 billion<\/a>. Oracle, in turn, will rely heavily on Nvidia\u2019s GPUs to build and operate these massive AI data centers. This creates a self-reinforcing financial ecosystem in which Nvidia effectively funds its own chip demand through its customers.<\/p>\n\n\n\n

But other than this graph, If you look around, the signs are all there \u2014 money pouring into every AI startup<\/a> with a half-decent pitch deck, tech valuations hitting ceilings, and GPU prices dropping like second-hand phones<\/a>. Everyone\u2019s building something \u201cAI-powered,\u201d whether or not they need to. It feels… familiar. Almost like d\u00e9j\u00e0 vu from the dot-com era<\/a> \u2014 this time, just wrapped in machine learning jargon and GPU servers.<\/p>\n\n\n\n

\"GPU
Image: tomshardware<\/a><\/figcaption><\/figure>\n\n\n\n

Financial reports from outlets like FT<\/a> and Beinsure<\/a> hint that the AI hype isn\u2019t just about products or productivity anymore \u2014 it\u2019s about money chasing money. GPU rental prices have plummeted, signaling oversupply, and investors are growing cautious. Some even say the AI market is showing classic bubble symptoms: inflated valuations, unsustainable demand, and too much optimism packed into too little proof.<\/p>\n\n\n\n

And it\u2019s not just hardware. On the content side, the flood of AI-written material has already hit a plateau. Graphite\u2019s study practically confirmed that most of it doesn\u2019t perform well. When both investors and publishers start realizing the returns don\u2019t match the hype, you can almost hear the air hissing out of the bubble.<\/p>\n\n\n\n

However, there seem to be multiple outcomes \u2014 not just the simplified version that there\u2019s definitely a bubble and it\u2019s going to pop any day now.<\/p>\n\n\n\n

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