8 min read
8 min read

On Oct. 13, 2025, Alexis Ohanian told the TBPN podcast that much of the web now feels ‘botted’ and ‘quasi-AI,’ arguing that some online spaces have lost spontaneity as machine-written and automated posts proliferate.
Ohanian’s words hit home for millions who sense the same change online. From comment sections to social feeds, conversations often feel rehearsed instead of spontaneous. The internet, once a mirror of humanity, seems to reflect algorithms instead of real people.

During his recent appearance on the TBPN podcast, Ohanian shared deep concern about how much of the internet’s soul has drained away. He praised the hosts for staying genuine in a landscape overwhelmed by machine-written content.
He recalled how the web once felt alive with creativity and humor, yet today, much of it feels staged. His honest observation about a “dead” internet resonated widely with listeners, many of whom recognize the same hollow tone in posts that no longer sound human.

Ohanian described today’s web as “quasi-AI,” a strange middle ground where machine-generated material often blends so seamlessly with human posts that few can tell them apart. It creates a disorienting sense of familiarity and emptiness at once.
He used LinkedIn as an example, pointing to repetitive posts full of forced positivity and recycled phrasing. Instead of creativity, people now scroll through content that feels auto-written.
The endless stream of motivational blurbs and bland professional quotes highlights how originality has been replaced by imitation.

The ‘dead internet theory’ posits that a large share of online content may be automated rather than human-authored, a claim long discussed in forums and recently given renewed attention as bot and AI activity has increased.
While some industry reports show automated traffic near or above the 50% mark in certain samples, researchers caution that measurements vary by methodology and site type

OpenAI CEO Sam Altman said on X that he hadn’t previously taken the ‘dead internet theory’ seriously but has observed ‘a lot of LLM-run Twitter accounts now,’ drawing further attention to the debate.
Altman’s remark surprised many, given his leadership in advancing AI technology. His admission suggests that even the creators of powerful models see the growing influence of automated accounts.
It raises new questions about how human expression can remain visible when so much of the noise is synthetic.

Ohanian believes the internet’s revival depends on something he calls “proof of life.” He argues that future platforms must show unmistakable signs of human presence to regain trust and purpose.
He envisions online spaces where people know they’re engaging with real humans. This shift, he says, could restore genuine discussion and rebuild a culture of authenticity. As the digital world fills with imitations, the simplest signal of real life may become the most valuable feature of all.

Ohanian pointed to private group chats as the new home of authentic conversation. Platforms like Signal, Discord, and WhatsApp give users a place to talk freely without performance pressure or algorithms steering discussion.
He sees these smaller spaces as modern digital campfires where friendships thrive naturally. In contrast to the endless feeds of public social media, group chats let people exchange ideas directly, reminding them how refreshing it feels to interact without filters or corporate influence shaping every word.

Many online users are now choosing private conversations over public posting. People increasingly express their thoughts in group chats rather than on open platforms, seeking a sense of safety and honesty.
This movement shows a deep human need for connection that feels real. Away from likes and trends, people rediscover comfort in talking to familiar faces who respond sincerely. It’s proof that technology can’t replace the emotional satisfaction of genuine interaction.

Ohanian cautioned that even these trusted group chats could lose their authenticity. There’s growing anecdotal evidence (and freelance demand) that people use AI to draft or polish private messages.
A development that could, over time, blur lines between spontaneous human replies and AI-assisted text in small-group chats. This quiet trend hints that automation may eventually touch every corner of online communication.
While AI helps people express themselves, it also risks stripping the personal tone from conversations, turning heartfelt exchanges into polished yet soulless text.
Ohanian predicts that a new wave of social networks will emerge built around verified human identity. These future communities may rely on transparency and shared trust instead of hidden algorithms and fake followers.
He believes such networks could restore faith in digital interaction. By ensuring every profile belongs to a real person, these spaces would help users feel connected again, transforming the way people share and respond online through authenticity and accountability.

For Ohanian, authenticity defines the future of communication. He says that when users can no longer tell who is real, the entire web loses its meaning and cultural impact.
Audiences crave originality, humor, and true human expression, not scripted replies or algorithmic noise. The hunger for sincerity is reshaping digital expectations, pushing platforms to prioritize living voices instead of automated repetition that offers engagement without emotion or value.

Ohanian noted that while group chats offer a more human experience, they are not new technology. He believes something more innovative must emerge to restore the web’s creative pulse.
The goal, he said, is to evolve beyond private messaging and rediscover how technology can unite people. Instead of chasing new apps or gimmicks, users now want interaction that feels meaningful, spontaneous, and alive with real emotion once again.

The dead internet theory first circulated on forums and niche sites in the late 2010s and early 2020s. It gained renewed attention after 2022 as generative AI became mainstream and researchers and journalists documented rising bot activity.
Early readers dismissed it as conspiracy talk, yet the idea spread as users noticed repetitive phrasing across countless accounts. It reflected growing suspicion that what appeared to be active communities were often just echo chambers maintained by unseen scripts and server farms.

For years, experts waved off the dead internet theory as paranoia. But evidence of bot farms, fake accounts, and auto-generated articles/news has forced many to reconsider.
The internet’s design made this takeover easy, as algorithms reward quantity over quality. When attention became currency, automation filled the gap faster than any human could. Now leaders like Ohanian and Altman are finally acknowledging how real this shift has become.

Despite his criticism, Ohanian ended his remarks with cautious optimism. He believes people still have the power to revive online culture through creativity and participation that technology cannot replicate.
He imagines a return to meaningful dialogue driven by genuine curiosity and humor. For him, the internet’s future depends on users choosing to value real voices again, proving that life online can be both intelligent and unmistakably human.
If you want to see how the industry is dealing with this growing problem, read humans are now hired to clean up messy AI-generated content.

Alexis Ohanian’s warning about the internet losing its humanity has sparked deep reflection. He believes a new, verifiably human era of online connection is possible if people demand authenticity over automation.
If you’re curious how experts are weighing both sides of the debate, check out how AI can threaten humanity or become a huge benefit. The philosopher explains.
Do you agree that the web needs a revival of real interaction before it fades further into AI control? Share your thoughts, ideas, or experiences in the comments and let your voice be heard. Every genuine opinion brings the internet one step closer to feeling alive again.
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This slideshow was made with AI assistance and human editing.
Dan Mitchell has been in the computer industry for more than 25 years, getting started with computers at age 7 on an Apple II.
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