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Productivity·14 min read·October 9, 2026·By Kelly Stratton

20 New Signs AI Wrote It, Now That the Em Dash Is Gone

AI stopped using the em dash. Here's how to tell if ChatGPT, Claude, or Gemini wrote something now: the exact words and shapes each one leans on, with the numbers, what real people write that AI doesn't, and a sixty-second check for any text.

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The em dash was the easy way to spot AI writing, and it stopped working in September. The newest ChatGPT, Claude, and Gemini dropped it almost completely. Keep hunting for it and you’ll flag real people and wave the AI through. Here are the 20 signs that work now, each with the number behind it, what real people write that AI can’t, and a sixty-second check for any text someone sends you.

In a nutshell

An AI tell is a word, phrase, or sentence shape that an AI model uses far more often than people writing about the same thing. The em dash used to be the big one. Now the tells are things like "this matters," "not simply," "furthermore," no contractions, no exclamation points, and every sentence the same length.

What you need

Nothing to install. The signs below work on any text you can read, on your phone or your computer. Ctrl+F or Command+F is the only tool you need.

Part 1

Why Did AI Stop Using the Em Dash?

The companies haven’t said why, but the timing fits: the em dash became the one thing non-writers could spot, it got mocked everywhere, and the newest models shipped without it. Two separate measurements in late September 2026 caught the drop.

Graphite, a marketing research firm, had already compared 10,000 articles written before ChatGPT existed with 90,000 AI versions of the same topics. On October 1 they added Claude Opus 5.5, Anthropic’s newest model, which shipped in late September. Here is the em dash count per 1,000 words, from their data:

Writer Em dashes per 1,000 words
People (10,000 pre-ChatGPT articles) 3.1
Claude Opus 5 (the model before) 2.9
Claude Opus 5.5 (new) 0.015
ChatGPT-6 Astra 0.4
Gemini 3.1 Pro 0.014

That’s a 99 percent drop between the two Claudes, and the new Claude now uses the em dash about 200 times less often than a person does. ChatGPT’s newest model is at about one eighth of the human rate. Gemini is near zero.

A second measurement, by Arena, looked at chat answers instead of articles and found the same thing from a different angle: the old Claude put 15.2 em dashes in every 1,000 words of its answers, the new one puts in 0.8. That’s the 95 percent number you’ll see quoted. Semicolons fell 73 percent in the same comparison, and sentences got 17 percent shorter.

The Economist ran its own test over the summer, 1.2 million words through ChatGPT, Claude, Gemini, and Grok, and reached the same conclusion before the new Claude even shipped: the em dash is no longer a reliable marker of AI writing, and ChatGPT already used fewer of them than their human writers did.

So the dash is gone. What didn’t go anywhere is everything else. Graphite counted 2,548 tells in the new Claude, only 4 percent fewer than in the old one. The tells didn’t disappear. They changed. Here are the twenty that matter.

Part 2

What's Missing From AI Writing?

The first six signs are things real people put in without thinking and AI leaves out. They show up in ChatGPT, Claude, and Gemini alike, so check for them first. Numbers are per 1,000 words from Graphite’s measurements.

1. No exclamation points. People use about 2.8 per 1,000 words. The three current models use between 0.02 and 0.04. That’s more than a hundred to one. One real exclamation point is one of the surest signs a person was there.

2. No parentheses. People drop a quick aside in parentheses 7.7 times per 1,000 words (like this). ChatGPT’s newest model does it 0.05 times. Claude, about once. Gemini, 0.04.

3. Almost no semicolons. This one is the opposite of what most people expect, because semicolons used to be an AI tell. People use 1.4 per 1,000 words; the new Claude uses 0.14, Gemini 0.3, ChatGPT 0.6. The AI got rid of its fancy punctuation. People never did.

4. Every sentence is the same length. Human sentences swing. In Graphite’s human articles the average sentence was 27 words and the longest in a piece ran past 70. AI sentences land between 16 and 19 words and the longest rarely passes 40. Read three sentences in a row. If they all feel the same size, that’s the shape.

5. No contractions. “It’s,” “don’t,” “we’ve,” “can’t,” “that’s.” People write them constantly. ChatGPT’s newest model writes “it’s” about 100 times less often than a person, and Gemini almost never writes it or “don’t” at all. The new Claude contracts more than it used to, so this sign is weakest on Claude and strongest on Gemini.

6. No year, no date, no place. People mention a year about six times per 1,000 words. The models mention one about once. People write “last March” and “in 2019” and “when we moved to Denver.” AI writes “in recent years.”

Part 3

What Shape Does AI Writing Have?

The next two signs are about how the text is built, not which words are in it. A September 2026 study caught AI blog posts from structure alone 97 percent of the time, and 96 percent even after the AI reworded its own work, so these two hold up when the words change.

7. It tells you what it’s about to say, says it, then says it again. That study, 2,250 company blog posts against 11,250 AI copies, found AI posts “state the thesis and announce the structure before the first section,” then close “with a stage that summarizes or restates the thesis.” Graphite measures the same thing: an AI article’s last paragraph mirrors its first about twice as often as a human one does.

8. “Rather than” everywhere. This two-word phrase is the single most widespread tell in the data. ChatGPT’s newest model writes it 22 times more often than people and puts it in 84 percent of everything it writes. The new Claude writes it 8 times more often, in half of its articles. People write “instead of,” or they write the one thing they mean.

Part 4

What Gives Claude Away?

Claude’s tells are quiet. They sound like a thoughtful consultant. These are from Graphite’s October 1 measurement of Claude Opus 5.5, with how many times more often Claude writes each one than a person does.

What Claude writes Times more than a person Where it shows up
“this matters” 116x the new number one
“why [this] matters” 92x in 756 of 9,974 articles
“it’s more than a [tool], it’s a” 98x the shape, with any nouns
“article explains” / “explains what” 90x / 35x it narrates itself
“together these” / “taken together” 56x / 42x the wrap-up line
“the result is a” / “a real difference” 38x / 45x the payoff line
“often called” 58x before a definition
“what comes next” / “looking ahead” 24x / 40x the closing turn

9. “This matters.” Claude’s biggest single tell. The word “matters” alone appears in 45 percent of everything the new Claude writes, 13 times more often than in human writing. If a paragraph pauses to tell you that something matters, or why it matters, instead of showing you, that’s Claude.

10. “It’s more than a tool, it’s a.” The old “it’s not X, it’s Y” didn’t die, it changed clothes. Claude’s version is “more than a,” 98 times the human rate. People say the one thing. They don’t build a little staircase to it.

11. “Together these” and “the result is a.” Claude’s way of tying a bow on a list. A person who just gave you three points stops. A Claude paragraph ends with a line like “Together, these three changes make a real difference,” and that’s two tells in one sentence.

12. The calm adjectives. Dependable (23x), steady (11x), practical (11x, in a third of its articles), thoughtful (9x), genuine (9x), quietly (11x), meaningful (8x). None of these is a bot word on its own. All of them together is a Claude paragraph.

Part 5

What Gives ChatGPT Away?

ChatGPT’s newest model, ChatGPT-6 Astra, writes in contrasts. It defines things by what they are not, and it almost never contracts. These are from Graphite’s September measurement.

What ChatGPT writes Times more than a person Where it shows up
“is not simply” 270x its single biggest phrase
“not automatically” 233x in 1,614 articles
“rather than relying” 187x the contrast move
“not simply” 157x in 3,082 of 9,974 articles
“extends beyond” 146x reaching for scope
“is straightforward” 102x reassurance
“together these” 95x the same bow Claude ties
“not merely” 77x the formal cousin
“adds another” 75x “adds another layer”

13. “Not simply” and “is not simply.” ChatGPT’s signature. “Good onboarding is not simply a checklist.” A person would write “Good onboarding is more than a checklist,” or more likely skip the sentence and tell you what good onboarding is.

14. “Rather than relying” and “not automatically.” Both are ways of saying “instead of,” and both are a hundred-plus times more common in ChatGPT than in people. When a sentence tells you what not to rely on before it tells you what to do, that’s the pattern.

15. The clarity words. Distinction (46x), clearer (43x), manageable (34x), broader (31x), practical (26x, in more than half its articles), useful (17x), dependable (59x, even more than Claude). ChatGPT loves to tell you a thing is clear, practical, and useful. People say the thing.

16. “Does not,” never “doesn’t.” ChatGPT writes “does not” almost nine times more often than people and puts it in more than half of what it writes. Paired with almost no “it’s,” “can’t,” or “we’ve,” you get prose that’s grammatically perfect and slightly stiff. That stiffness is the tell.

Part 6

What Gives Gemini Away?

Gemini is the loud one. Where Claude is calm and ChatGPT is precise, Gemini is impressed by everything. These are Gemini 3.1 Pro’s numbers from Graphite’s September measurement.

What Gemini writes Times more than a person Where it shows up
“ultimately this” 78x the closing turn
“this comprehensive” / “comprehensive guide” 61x / 47x it names its own format
“furthermore the” 43x the stacked transition
“we will explore” 47x announcing the structure
“is a massive” / “as a powerful” 60x / 56x the hype
“whether you are” 35x in 2,197 articles
“a testament to the” 27x the cliché
“is not just a [thing], it is” 153x its “not just X, it’s Y”
“just a [thing], it” 46x the same shape, shorter

17. The stacked transitions. Furthermore (26x, in almost a third of its articles), ultimately (7.7x), “furthermore the,” “ultimately this.” People rarely start a sentence with “furthermore.” Gemini can’t stop.

18. The intensity words. Incredibly (18x, in 37 percent of its articles), massive (19x), profound (26x), immense (22x), highly (16x, in more than half), deeply (18x), heavily (18x), crucial (9x), fundamentally (29x). One of these is a word. Four in a paragraph is Gemini.

19. “Whether you are a…” and “this comprehensive guide.” Gemini writes for an imaginary reader it names at the top (“whether you are a small business owner or a freelancer”) and describes the thing you’re reading (“this comprehensive guide will explore”). People write to you, and they don’t describe the article inside the article.

20. “A testament to,” “navigating,” “the world of.” The old buzzword set is mostly gone from Claude and ChatGPT. It’s alive in Gemini: “a testament to” (27x), navigating (26x), “the [modern] world of” (10x), “the power of” (10x). If a paragraph reads like a 2024 LinkedIn post, check Gemini first.

Part 7

What Do Real People Write That AI Doesn't?

This is the other half of the data, and it’s the half that helps you write. Graphite’s human articles are full of things the models almost never produce. Each one below is how many times more often a person writes it than the model named.

What people write Times more than AI Against which model
“it’s” 108x / 1,942x ChatGPT / Gemini
“don’t” 803x Gemini
“we’ve” 30x / 256x Claude / ChatGPT
“didn’t,” “can’t,” “won’t,” “that’s” 97x to 223x ChatGPT
“I think” / “I like” / “I would” 32x / 38x / 19x Claude
“pretty” 19x / 41x Claude / Gemini
“a bit” / “a lot of” 182x / 171x ChatGPT
“definitely” 80x / 116x Claude / ChatGPT
“etc.” 100x Claude
“going to” / “going to be” 19x / 74x Claude
“check out” / “be sure to” 19x to 141x Claude, ChatGPT
“amazing” 41x Claude

Graphite’s own list of the most human words adds “my favorite,” “mom,” “last year,” “pretty,” and “sort of,” the small personal words a person drops in without thinking. Add the punctuation: the exclamation points and parentheses from Part 2, question marks (people ask about three per 1,000 words, the models about one), and real lists. Graphite’s human articles had about 15 bulleted lines per 1,000 words. The models, writing the same topics, had almost none.

Read that table as a recipe. A person writes “it’s,” says “I think,” calls something pretty good, mentions last year, throws in an aside (like this one), and ends a sentence with an exclamation point when they mean it. None of that is sloppy. It’s what being there sounds like.

Part 8

The Sixty-Second Check

Someone sends you a paragraph and you want to know. Do this, in order, and stop when you have your answer.

  1. Search for “rather than.” Press Ctrl+F or Command+F and type it. Two or more in a short piece is a strong sign on ChatGPT and Claude.
  2. Search for “matters.” One “this matters” or “why this matters” is Claude.
  3. Search for “not simply.” That’s ChatGPT.
  4. Search for “furthermore” and “incredibly.” That’s Gemini.
  5. Count the contractions. A long piece with no “it’s” or “don’t” anywhere is AI, most likely ChatGPT or Gemini.
  6. Look for one exclamation point, one set of parentheses, one year. If none of the three is there, lean AI. If all three are, lean human.
  7. Read the first and last sentences together. If the last one restates the first one, that’s the shape.

Three or more hits and you can be fairly sure. Zero hits and a few of the human habits from Part 7, and a person wrote it, em dashes or not.

One thing to remember

These are odds, not proof. "Practical" is a normal word, and a person can write "this matters" on a good day. Every multiplier in this guide means "far more often than people writing about the same thing," not "only AI says this." Use the signs to decide where to look closer, and never to accuse someone from a single phrase.

FAQ

Questions People Ask About Spotting AI Writing

Straight answers

Is the em dash still a sign that AI wrote something?

Not anymore. Claude's newest model, Opus 5.5, uses about 99 percent fewer em dashes than the model before it, ChatGPT's newest model uses them far less than people do, and Gemini has nearly stopped. If a text is full of em dashes in late 2026, it's as likely to be a person who picked up the habit as it is to be AI.

How can you tell if ChatGPT wrote something?

Look for "not simply," "rather than relying," and "rather than" in general, which ChatGPT's newest model writes in more than eight out of ten articles. Look for a missing "it's" and "don't": it almost never contracts. Look for "practical," "useful," "distinction," and "clearer," and for every sentence coming in at about the same length.

How can you tell if Claude wrote something?

The new Claude's biggest tell is "this matters," which it writes 116 times more often than a person, along with "why this matters." It also leans on the shape "it's more than a tool, it's a," on "together these" and "the result is a," and on a cluster of calm adjectives: dependable, steady, thoughtful, genuine, practical.

How can you tell if Gemini wrote something?

Gemini is the loudest of the three. Watch for "furthermore," "ultimately," "incredibly," "massive," "profound," "highly," and "crucial," for "whether you are a" openers, for "this comprehensive guide," and for "a testament to." It almost never writes "it's" or "don't," so a long piece with no contractions at all is a strong sign.

What do humans write that AI doesn't?

Exclamation points, more than a hundred times as often as any current model. Parentheses. Contractions like it's, don't, we've, and can't. Opinions in the first person: I think, I like, I'd say. Casual words like pretty, a bit, a lot of, and definitely. A year, a month, a place, or a name. Sentences that run long and then stop short.

Which AI tool is the easiest to spot?

Gemini, by a wide margin. It stacks "furthermore" and "ultimately," reaches for "incredibly," "massive," and "profound," names its reader ("whether you are a..."), and almost never uses a contraction. Claude is the hardest: its tells are quiet words like "dependable" and "practical" and the phrase "this matters," so you have to read for shape, not volume.

What if someone says AI wrote my work and it didn't?

Every sign in this guide is a probability, not proof. Keep your drafts, your version history, and your notes; a document that grew over several saves with edits and typos is hard to argue with. If the accusation is based on em dashes or a buzzword count, point them to the measurements here: those tells are gone from the newest models and were never reliable on their own.

Can AI detectors still catch AI writing without the em dash?

The good ones never relied on it. A September 2026 study caught AI blog posts 97 percent of the time from structure alone, and 96 percent even after the AI reworded them. Detectors that count punctuation and buzzwords are getting weaker. Detectors that read the shape are not.
Sources

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