FIR #481: The Em Dash Panic — AI, Writing, and Misguided Assumptions

In this short midweek episode, Neville and Shel dive into one of the hottest debates in communication today: what happens to tone and authenticity when artificial intelligence steps into the writing process? From the surprisingly heated arguments over the humble em-dash to fresh research on AI’s “stylometric fingerprints,” we explore whether polished AI-assisted prose risks losing the human voice that builds trust. Along the way, we look at how publishers like Business Insider are normalizing AI for first drafts, how communicators are redefining authenticity, and how Shel used AI to turn years of blog posts into a forthcoming book. Links from this episode: Human-AI Collaboration or Academic Misconduct? Measuring AI Use in Student Writing Through Stylometric EvidenceDistinguishing AI-Generated and Human-Written Text Through Psycholinguistic AnalysisSome people think AI writing has a tell — the em dash. Writers disagree.AI is breaking my heart: Why authentic writing matters more than polished wordsThe Em-Dash Responds to the AI AllegationsBusiness Insider reportedly tells journalists they can use AI to draft stories The next monthly, long-form episode of FIR will drop on Monday, September 29. We host a Communicators Zoom Chat most Thursdays at 1 p.m. ET. To obtain the credentials needed to participate, contact Shel or Neville directly, request them in our Facebook group, or email [e-mail]. Special thanks to Jay Moonah for the opening and closing music. You can find the stories from which Shel’s FIR content is selected at Shel’s Link Blog. Shel has started a metaverse-focused Flipboard magazine. You can catch up with both co-hosts on [Neville’s blog](https://www.nevillehobson.io/) and [Shel’s blog](https://holtz.com/blog/). Disclaimer: The opinions expressed in this podcast are Shel’s and Neville’s and do not reflect the views of their employers and/or clients. Raw Transcript Shel Holtz (00:01) Hi everybody and welcome to episode number 481 of Four Immediate Release. I’m Shel Holtz. @nevillehobson (00:08) And I’m Neville Hobson. In this episode of For Immediate Release, we’re going to explore the question of tone and authenticity when artificial intelligence becomes part of the writing process. That seems to be a bit of a hot topic these days from what I see online. AI tools don’t just generate text. They also polish, rewrite, and shift tone to make communication sound warmer, more professional, or more concise. But what happens to authentic voice when AI smooths the edges? Do we risk losing individuality, nuance and trust if everything starts to sound the same? We’ll talk about that right after this. It’s a debate playing out among communicators. This year, the humble M-dash has become a flashpoint. Some insist that overusing M-dashes is a dead giveaway of AI altered text. Others push back saying that’s nonsense and unfairly stigmatizes a perfectly good mark of punctuation. Washington Post ran a feature in April with the headline, Some people think AI writing has a tell. The M-dash writers disagree. Then in August, Brian Phillips wrote a lyrical defense in the ringer. pleading, stop AI shaming our precious kindly M-Dashes, please. And McSweeney’s even joined him as satire, publishing the M-Dash response to the AI allegations written from the dashes own point of view. That is really, really very amusing, worth a read. The fact that such debates exists highlights how sensitive people are to the signals of authenticity in writing. Fresh research in 2025 suggests this is more than speculation. Some recent studies show that AI leaves stylometric fingerprints in writing that can be detected, raising questions about authorship and voice. A stylometric fingerprint is the unique combination of statistical linguistic features within a piece of text that identifies its author much like a human fingerprint. AI can make writing clearer and more polished but risks homogenizing style and raising ethical questions. Beyond academia, commentators argue that polished words without voice risk-leaving communication hollow. And while researchers are busy analyzing stylometry and psycholinguistics, communicators are having a very different kind of debate about punctuation. So while academics study the fingerprints AI leaves on writing, the popular imagination has latched onto something much simpler, the punctuation choices we make. The M-debate may be tongue in cheek, but it speaks to a serious point. How sensitive we’ve become to the signals of authenticity in text right down to a single line on the page. For communicators, the challenge is not whether to use AI, that ship has sailed, but how to preserve authenticity when tone shifting tools are in the mix. The call to action is to define what authenticity means in your context, decide which writing tasks AI should support, and ensure human voice and accountability remain front and center. In the end, and authenticity aren...