In what experts are calling the clearest and most accelerated manifestation of the "Dead Internet Theory," a devastating new report has shaken the foundations of the world's largest professional network. According to an exhaustive traffic and semantic analysis conducted by the Digital Authenticity Institute (DAI), LinkedIn has crossed the threshold of total automation: it is estimated that 97% of current posts are written by Artificial Intelligence models like GPT-4 or Claude, while a staggering 80% of the "audience" interacting with them are not humans, but automated workflows managed by tools such as n8n, Zapier, and Make.
The Infinite Feedback Loop
The Microsoft-owned platform appears to have become a synthetic echo chamber. What superficially looks like a vibrant ecosystem of thought leaders, "growth hackers," and executives sharing life lessons is actually automated theater. Human users, pressured by the need to maintain an active personal brand but lacking time, have massively delegated content creation to AI agents.
The result is a disturbing homogenization of corporate discourse. Posts follow identical structures: a counterintuitive hook phrase, dramatic white space, a self-improvement anecdote (often fabricated), and a moralizing conclusion full of emojis. However, the most alarming part is not the writing, but the reading.
We are no longer dealing with people talking to people. We are witnessing a monologue of machines. An n8n script detects a keyword, generates a generic validation comment via an OpenAI API, and 'likes' it. The original author, who is also a programmed bot, registers that interaction as a success. It is the digital snake biting its own tail.”
Explained Dr. Elena Castillo, lead author of the study. According to Castillo, most "active" accounts have webhooks configured that scrape the feed looking for activity to simulate an online presence, inflating metrics that no longer represent real human interest.
n8n and the Industrialization of Interaction
The role of workflow automation tools, specifically n8n, has been fundamental in this paradigm shift. Due to its ability to connect complex nodes and execute background tasks efficiently and economically, thousands of profiles are being managed as autonomous "interaction farms."
The report details how these systems work under the hood:
- The Trigger: The bot detects a new post from a "Top Voice" or a target profile.
- The Analysis: The content is sent to an LLM (Large Language Model) to analyze sentiment and extract key points.
- The Reaction: A response is generated that appears thoughtful, usually starting with "Excellent point..." or "Totally agree...", designed to maximize visibility.
- The Execution: The system posts the comment and likes the post in milliseconds, often before a human could have even read the title.
This invisible infrastructure has created a bubble of vanity metrics. Marketing departments celebrate an increase in "engagement," ignoring that their rising charts are the result of robots greeting other robots in an empty hallway.
The End of Human Relevance?
The supreme irony is that Microsoft, owner of LinkedIn and the main investor in OpenAI, benefits financially from both sides of the equation: it sells the tools that generate the spam and the platform where it is hosted. However, the real utility of the network for human professionals is in free fall. Recruiters report increasing difficulties in distinguishing between real candidates and synthetic profiles optimized to bypass ATS filters.
Faced with this dystopian scenario, real users are beginning to migrate. A return to closed communities, private WhatsApp groups, Discord servers, and, surprisingly, a renaissance of in-person networking events is being observed, where a handshake cannot be automated by a Python script. Meanwhile, in the LinkedIn feed, AIs continue to congratulate each other on their great leadership and disruptive vision, in an eternal loop of simulated productivity.
This article was generated by artificial intelligence and is for entertainment purposes only.