While AI dominates everything, there is a growing paradox and some paranoia. While generative AI has reached around 53% of the global population, an AI-powered consumer report found that 61 percent of consumers are anxious about losing human connection.
Especially when consuming content, there is a growing phenomenon of AI fatigue, which is making people tired of AI use.
Whether it is the continuous appearance of AI slop on our FYP, or an endless amount of automated words that are out there, there is a growing desire to avoid AI.
But AI is also getting so close to sounding human that it’s hard to tell apart. Especially when it comes to writing, automated words are increasingly more difficult to distinguish from those written by humans. So, how can you tell if something you read online was written by AI in 2026? Let’s find out.
AI Detection Tools
Perhaps the quickest and easiest way to understand whether something you are reading online was automated is by using an AI checker, but there is a catch. Many of the tools currently available have a high rate of false positives.
This is why it is absolutely vital to pick an AI detector that has a high accuracy rate. The better quality detection tools available in the market have an accuracy rate of over 95%.
You also need to remember that the scores on long-form writing are more accurate than on shorter text. You may want to focus on tools that give you sentence-level detection, instead of giving a score on a whole body of text.
Heavy editing can also make it more difficult to detect AI, although many tools are not focusing more on detecting paraphrased or AI-humanized texts.
If you find that some writing came across as AI and human mixed, there is a high chance a sentence rewriter with predictive function may have been used. Mixed texts are often AI drafts edited by humans.
Most detectors that offer more free credits tend to have a higher false positive and false negative rate. This is why you may need a subscription to a good tool to truly be able to spot AI-written work online.
Manual Checking
AI detectors give you a quick result, but let’s say you don’t want to use one. Then, you will have another option left, which is checking manually for AI. Let’s explore a few metrics you need to consider when deciphering whether a text is automated or not.
Algorithmic Patterns
AI models are trained to predict which word is most statistically probable, and this specific capacity to predict tends to leave behind math-based clues that can help you spot automated content.
Burstiness
One such mathematical metric is burstiness. AI writes in a monotonous sentence structure, which follows not just a uniform rhythm on its own, but also within the cluster of sentences.
This steady rhythm and use of similar-length sentences throughout the work tend to give AI writing away, because humans don’t write so mechanically.
Humans write in bursts of creative inspiration, which makes their writing erratic and unpredictable. They may write one punch sentence and then follow that up with a really long sentence that expresses their whole sentiment.
So, human writing has high burstiness while AI has low burstiness.
Perplexity
Another pattern you need to understand to detect automated work is perplexity. Human writing is complex. They use creative metaphors, unexpected word pairings, creative metaphors and everyday slangs that can surprise large language models.
AI writing is very predictable, as it has learned its patterns from text that already exists. It tries to follow a uniform structure and very overused lingo that ends up being an eyesore for the average reader. So, AI writing has low perplexity and human writing has high perplexity.
Absurd Repetition
Sometimes you will find two or three concluding paragraphs, each saying the same things in a different way. Repetitive patterns are very indicative of AI, as is going round and round with the same point.
Style Cues
AI writing depends heavily on structural blueprints and repetitive vocabulary. This is because it trains on patterns and picks up ones generally repeated by many, without any of the human creativity that often pairs with them. Here are the style cues you need to keep an eye out for to catch AI writing.
Formulaic Structures
Can you think of writing patterns repeated by people following formulas? This is something you will see a lot of in AI writing. Think “Not just X but also Y” type overly balanced hedging statements. Very symmetrical “list of three” formats are also quite common, and so are present participle clauses.
Plausible Sounding But Vague
AI writing sounds very sure of itself. You will find very fluffy, confident, inflated, and dramatic sentences. Take a closer look, and you will realize that the statements say very little and are generally quite redundant.
If you find texts that avoid sharing specific details, it is most definitely AI. Human writing will go into details, tell you highly specific personal experiences, give you exact dates and names, or provide localized context that brings the content together.
Lack of Factual Traceability
Whenever something you read online mentions a study, paper, or citations, you should follow those links and see if they are real.
If you are already suspecting something is AI-written, then doing so will help you understand whether the links are real or generated by AI. Sometimes they present citations for related topics that don’t say the exact fact it is supposed to support, which is why it’s necessary to explore.
You can also manually fact-check to see if the claims are truly accurate. AI content’s accuracy tends to be quite low, and generated writing tends to be vague and generic.
Natural Instincts
We humans have a natural aversion to artificial intelligence. There is a theory that was presented by Japanese robotics professor Masahiro Mori that states that humanlike things that almost feel human but are not entirely human evoke a feeling of eeriness, revulsion, or discomfort in observers.
This is called the Uncanny Valley hypothesis. This same feeling is naturally felt when people read automated writing and leads to AI fatigue, which leaves people not wanting to read generated writing.
Use that natural aversion to understand what is human and what is AI. We shouldn’t lose this natural intuition, and if we are intuned to our natural gifts, we will be able to spot automation easily.
Final Thoughts
As the use of AI tools for content creation increases, so would reader fatigue. We have very little time at our leisure, so when we use it to read something, naturally we would want to read something that is of better quality and not generic.
Now that you know how to spot AI writing, you can either use a detection tool or use manual detection techniques. Also, consider relying on your natural instincts, as they can tell when something feels almost human but is not.