The Dead Internet Theory: Red Pill or Blue Pill?
Why today’s web feels more like machines talking to each other than people connecting and why it matters for everyone online.
What if programs talk to programs?
In The Matrix Reloaded, Neo discovers something unsettling: the real conversations aren’t between people. The Oracle, the Merovingian, Agent Smith, they are programs talking to programs, plotting and scheming in ways humans can’t follow.
Now ask yourself:
When you scroll through your feed tonight, how sure are you that you are reading humans and not scripts talking to scripts?
That’s the essence of the Dead Internet Theory: the suspicion that the web is no longer driven mainly by people, but by bots, algorithms and AI, endlessly talking to each other while we just hear the echo.
From human forum to scripted stage
Think of the internet as a café.
2005: Messy but alive. Forums full of rants and long threads, Blogs linking to strange corners of the web, YouTube full of shaky home videos. Imperfect, unpredictable and human.
2025: Still noisy, but uncanny. The same phrases repeat. Comments look copy-pasted. Laughter sounds synthetic. Half the crowd are mannequins, nodding, clapping or arguing on cue.
That’s what “dead” feels like: full of activity, but thinner in authenticity.
Why should people with authority care?
This isn’t philosophy. Its about trust in digital signals: the numbers and voices you rely on for decisions.
Are those glowing reviews genuine or is it a click farm?
Does a spike in likes mean traction or scripts gaming the feed?
When a hashtag trends, is it a public opinion or a machine-made echo chamber?
If half the signals are synthetic, strategies risk being built on illusions.
How fake is the Internet really?
Key numbers
49,6% of web traffic (Imperva, 2023) comes from bots (nearly half of everything online is automated).
9–15% of X (Twitter) accounts (Varol et al., 2017) were bots and they amplified missinformation disproportionately.
Generative AI flood (2025, arXiv:2502.00007): researchers argue that feeds are increasingly dominated by AI-generated, engagement-optimized content… cheap, repetitive and less authentic. Exact percentages are not yet available.
“Crisis of perception” (OCAD University, 2025): even if humans still post in large numbers, the uncertainty itself (“is this real or synthetic?”) erodes trust and makes the internet feel hollow.
So no, the internet isn’t literally dead. But it is noisier, faker and harder to trust.
The feedback loop we should talk about
Here’s the deeper risk: the shift from Input → AI → Output to AI → Output → AI.
Today: AI is trained mostly on human input: text, images, conversations.
Tomorrow: AI will train more and more on its own output.
Result: A feedback loop. Content becomes blurier, repetitive, less tied to reality.
It’s like photocopying a photocopy. Each iteration loses detail. Eventually you end up with noise that only resembles reality.
This is the nightmare version of the Dead Internet: not just bots filling space, but bots teaching bots to sound human, while humans quietly step aside.
Everyday signs of the Synthetic Web
Your analytics dashboard spikes with 10.000 clicks overnight, but half are scrapers, another chunk spam-bots.
Comment sections filled with “So true!” and “Thanks for sharing!”. Polished, lifeless, probably scripted (or prescripted one-click statements).
News feeds dominated by weird AI memes (Shrimp Jesus, endless “Amen” spam).
This is what happens when programs clap for programs.
The biggest missunderstanding
Myth: The internet has been fully taken over by AI, the humans are gone.
Reality: Humans are still everywhere, but their voices are diluted in the machine chorus.
Think haunted house, not corpse: still alive but crowded with ghosts.
How to stay sane in a Synthetic Web
Don’t trust raw metrics. High engagement doesn’t always mean real people.
Spot bot patterns: repetitive phrasing, no nuance, machine-like timing.
Prefer smaller, human-first spaces: moderated forums, niche newsletters, Discord groups.
Value human messiness: typos, personal anecdotes, weird tangents (things bots still struggle to fake).
Push for transparency: clear AI-content labels and bot disclosures.
Quick Toolkit
Three questions to ask yourself
How much of what I read today came from real people?
Which of my online spaces still feel genuinly human?
Am I producing for humans or feeding algorithms?
Four Bot tells
Repetitive, overly polished phrasing
No real-world detail
Identical posting rhythm
No follow-up, no curiosity
Two things you can do this month
Audit your feeds and traffic. Look for patterns that don’t make sense.
Support and share human voices: blogs, indie creators, communities.
Back to the Matrix
The Dead Internet Theory resonates because it feels like The Matrix: programs talking while humans just overhear.
But unlike Neo, we don’t face a predetermined fate. We still have a choice:
Take the blue pill: keep scrolling, let manequins fill your feed, accept synthetic chatter as normal.
Take the red pill: seek out authenticity, amplify real voices, keep the café alive with messy, unpredictable human energy.
The internet isn’t dead. But if AI keeps training mainly on AI, its soul could fade faster than we expect.
A nuanced closing thought
It’s worth stressing: the Dead Internet Theory is not a proven fact. Much of the internet is still undeniably human, from open-source developers to niche Discord servers to messy debates on Reddit. The statistics on bots and AI content don’t mean people are gone. They mean the line between human and machine is blurrier, and perception matters as much as reality.
What fascinates me most is how this plays out not just on a macro scale, but in daily life. E-mail threads are already drifting into AI-to-AI exchanges, smart reply suggesting one templated phrase, the recipient’s client answering with another. Among teenagers, the same pattern shows up in messaging: AI-generated suggestions are accepted with a single tap because speed and parallel conversations matter more than originality. Eight friends can sit around one table, each glued to a screen, their chats reduced to quickfire machine-authored snippets. The chance for real conversation is there, but often left unused.
That, to me, is why the Dead Internet Theory is such a compelling metaphor. Whether you see it as conspiracy, critique or warning, it forces us to ask: What counts as authentic? What doesn’t? And how much of our digital life are we willing to hand over to scripts that speak for us? Or is it completely fine and we just have to live with it?
Discussion starter
When you scroll, do you still feel the human pulse or mostly machine chatter?
Further Reading
Imperva (2023): Bad Bot Report
Varol et al. (2017): Online Human-Bot Interactions
Rzemieniak & Sułkowski (2025): The Dead Internet Theory: A Survey on Artificial Interactions
OCAD University (2024): Between the Self and Signal: The Dead Internet & a Crisis of Perception
The Guardian (2024): Where does the line between person and bot begin?
Important analysis. Powerful stats eg “49.6% of web traffic comes from bots (nearly half of everything online is automated).”