For about two years, one of the most useful tricks on Google has been adding “Reddit” to the end of a search. People do it because search results are packed with pages written to rank, not necessarily to help. Reddit became the place where you could find someone who had actually bought the same laptop, used the same software, owned the same car, or dealt with the same problem.
The trick worked for one simple reason: Reddit looked human. That is now the problem.
What Matters: We are not running out of information. We are running into a harder problem: it is becoming difficult to know whether the information we are reading actually came from a person with real experience.
The shift: Google is full of pages designed to rank, Reddit is dealing with automated accounts and AI-written content, and private communities may become more valuable because knowing who is speaking starts to matter as much as what they are saying.
The internet has always had spam, fake accounts and people pretending to know more than they do. That part is not new. What has changed is how cheap it has become to produce convincing content at scale. And once the words sound human, the old tricks for finding real people stop working as well.
Google Sent Us to Reddit for a Reason
Google became less useful when getting traffic started mattering more than actually helping the person searching. A page could be written around a keyword, surrounded by ads, stretched to a certain length and still rank well enough to get clicks.
People noticed, so they started looking for something Google could not easily manufacture: someone else’s experience.
That is where adding “Reddit” became useful. A search for a phone might give you ten polished reviews. A Reddit thread might give you somebody saying, “I have owned this for six months and the battery got worse after the last update.”
That answer is not necessarily more correct. It is just different. It comes with a person behind it.
The strange part is that Google itself has also become better at answering questions directly. The more useful search becomes at producing an answer on the results page, the less reason there is to visit the pages that produced the information in the first place.
That creates a problem for the websites underneath Google. They need to publish information that search systems can find and use, while the people searching may never actually reach them.
Reddit became valuable because it still contained the messy stuff that normal search pages often leave out: complaints, personal experiences, weird edge cases, long arguments and people saying what happened after they bought something or tried something themselves.
That messiness was useful.
Reddit Was the Human Shortcut
The reason people went to Reddit was never really the website itself. It was the people.
Imagine you want to buy a laptop. A review site can tell you the processor, display resolution, battery capacity and price. A Reddit user might tell you that the fan is annoying, that the keyboard is terrible, or that the machine becomes loud when plugged in.
Search for a car problem and you might find a repair article that lists ten possible causes. A person on Reddit might say, “Mine made exactly this sound. It turned out to be this part.”
That is the kind of information people trust because somebody appears to have gone through the same thing.
The same trait that made Reddit useful also made it attractive to spammers. Posting something on Reddit could help it rank on Google. So Reddit became another place where people could try to manufacture search traffic.
Then generative AI made producing that material much cheaper.
You no longer need a person sitting there for an hour writing a convincing post. A machine can do it in seconds.
That does not mean every suspicious post is AI-generated. It means the cost of making something that looks human has fallen dramatically.
What changed: Before AI, a person trying to fake a useful Reddit answer had to write the answer. Now the person can simply ask an AI to write it in the style of someone who has owned the product for years.
A Human Account Does Not Mean Human Words
In March 2026, Reddit announced that accounts flagged for suspicious behaviour would have to prove they were human, using methods such as passkeys or biometrics. Reddit also said it removes around 100,000 accounts a day.
That sounds like a direct answer to the bot problem. But there is an obvious gap.
A human account does not always mean human words.
There are two questions here, and they are not the same.
Who is running the account?
Reddit can check whether there is a real person behind the account.
Who wrote the post?
A real person can still copy an AI-written answer and post it themselves.
A real person can take a ChatGPT answer, paste it into Reddit and publish it under their own account. Reddit can verify that the account belongs to a human. The post can still be machine-written.
That means the next version of the problem is not just about bots pretending to be people. It is about people using machines to speak for them. And that is much harder to spot.
The more convincing the writing becomes, the less useful writing style is as a clue. There is an even stranger example.
Researchers ran AI accounts in r/changemyview, a subreddit where people post opinions and invite other people to argue against them. According to the moderators, the accounts tailored their replies to users based on inferred personal attributes, without consent or moderator approval. Reddit banned the accounts and started legal action against the researchers and their university.
The important part is not simply that AI wrote the replies. It is that the AI was participating in an actual human conversation while the other person believed they were arguing with a stranger.
Important distinction: Reddit’s human verification can help identify fully automated accounts, but it does not prove that the words posted by a verified human were actually written by that human.
The Weird Loop Behind Reddit’s AI Problem
There is another reason this situation feels backwards. Reddit sells its content to companies building AI.
The Google deal is reportedly worth about $60 million a year, while OpenAI’s is estimated at roughly $70 million. Together, those deals added up to around $140 million in AI licensing revenue in 2025.
In Q1 2026, Reddit reported $39 million in data-licensing revenue out of $663 million in total revenue. So data licensing is real money for Reddit, but it is still a small part of the company’s overall business.
The strange part is the loop.
People write things on Reddit because they have experiences. AI companies want those conversations because they contain real human language and real human knowledge. Those companies use that data to train AI. AI becomes better at producing human-like answers. And then people start using AI to produce content that can end up back on Reddit.
The machine is learning from the human layer while also becoming better at copying it.
There is also suspicion that bots may post questions on Reddit to generate training data in areas where AI has less information.
We should be careful with that claim because it is suspicion, not something we can treat as established fact. Then there is the Google problem.
In July, the Wall Street Journal reported that Reddit was questioning whether its Google deal still made sense because Google’s AI answers reduce clicks to outside websites. The more Google answers a question itself, the less useful a link to Reddit becomes for Reddit as a source of traffic.
Reddit is selling some of the material that makes it valuable to AI while also dealing with the effects AI is having on the wider web. That is a pretty strange business loop.
The Web Is Becoming Harder to Open
None of this means Reddit is dead. It does mean that a Reddit result no longer automatically tells you that a human wrote it. And the same problem is spreading beyond Reddit.
Cloudflare’s projection, cited by TechCrunch, is that bot traffic will exceed human traffic by 2027. If that happens, “is this a person?” becomes a question we may end up asking about almost every part of the web.
The other change is that websites have more reason to close parts of themselves.
If a platform has millions of useful conversations, giving machines easy access to all of that information also makes the platform attractive to scrapers, spam networks and AI systems.
Open access was one of the things that made the early internet so useful. Search engines could crawl pages. Researchers could study public information. Other tools could build on top of it.
Now that same openness has a cost.
The more valuable public information becomes for machines, the more valuable it becomes for platforms to control who can access it.
That leaves us with a strange situation: the web can become easier for machines to read and harder for ordinary people to discover.
| Part of the web | What we used to do | What is changing |
|---|---|---|
| Find pages | Google can answer more questions itself | |
| Find real experiences | It is getting harder to know who wrote what | |
| Public websites | Let almost anyone access information | More scraping means more restrictions |
| Private groups | Talk with people you know | Harder to find, but easier to know who is there |
Where Do Real Opinions Go?
This is where we stop talking about what we can prove and start talking about where we think this goes.
We do not have data showing that people are already leaving Reddit in large numbers for private groups or group chats. That would be too strong a claim. But the direction makes sense.
Real opinions do not disappear just because public platforms become harder to trust. They can move to places where faking is more difficult.
A fake account is cheap on a huge open forum. In a group of forty people who know each other, it is harder to pretend you have owned the same car for five years when you have not.
That does not make the group automatically correct. It just changes how trust works.
You know the person. You know how long they have been around. You may know what they own, what they have tried and whether they usually know what they are talking about.
That is something search engines cannot easily reproduce. So we could see more useful conversations move into small invite-only communities, Discord servers, private forums and group chats. The problem is discovery.
You cannot search a WhatsApp group from Google. Nobody ranks a private Discord server. A group can contain exactly the answer you need and you may never find it because you do not know the group exists.
That is the trade-off.
The open internet gives you discovery. Closed communities give you context about the people speaking. And we may have to choose between those two things more often than we used to.
Maybe the hard part won’t be finding information.
It may be figuring out who is actually worth listening to.
Where can I find the answer?
Who can I trust to give me the answer?
A private forum, Discord server or group chat may have far less information than Google, but there is one thing it can give you: some idea of who is actually talking. You might know that person has owned the car for years, uses the software every day or has already dealt with the same problem.
The downside is obvious. You cannot simply Google those conversations. The answer might be sitting inside a group you have never heard of.
Maybe that is where part of the internet is heading. We will still use search to find things, but when an opinion really matters, knowing who said it may become just as important as finding it.
