Executive Overview
Artificial intelligence has officially crossed the threshold from a fascinating technological novelty into a profound professional destabilizer, forcing editors to second-guess careers built on decades of meticulous craftsmanship. Across the media landscape, corporate communications, and publishing houses, the rise of generative text models has birthed a peculiar psychological phenomenon: "flagxiety," or the paralyzing fear that human-authored prose will be falsely flagged, penalized, or dismissed as machine-generated "slop."
Nowhere is this anxiety more visible—or more amusingly paradoxical—than in the sudden, paranoid avoidance of a humble punctuation mark: the em dash.
At the recent virtual conference hosted by ACES: The Society for Editing (VCON), hundreds of editors from journalism, public relations, marketing, and technical writing gathered not to celebrate the evolution of language, but to grapple with an existential crisis. They attended sessions with titles like "Creating an AI Policy to Address Client Concerns," "A Seat at the AI Table," and "Polishing the Bot: Editing AI-Assisted Text for Clarity and Flow."
The mood at the conference was a mix of dark humor, defiance, and deep-seated professional insecurity. As generative AI models flood the digital ecosystem with statistically probable, yet stylistically uniform prose, editors find themselves caught in a crossfire. They are tasked with cleaning up the robotic outputs of large language models (LLMs) while simultaneously defending their own human-built toolkits from bosses and clients who view every stylistic flourish—including a well-placed em dash—as a dead giveaway of synthetic authorship.
Detailed Chronology: Inside VCON and the War on Punctuation
The three-day virtual gathering of ACES laid bare the raw nerves of an industry under siege. For three days, virtual rooms were packed with professionals trying to define their place in a workflow increasingly dominated by algorithms.
The chronology of the conference mapped out the rapid evolution of the AI dilemma:
- Day 1: Establishing the Baseline of Defense. Sessions focused heavily on policy creation, client management, and understanding how to establish guardrails against the unregulated influx of machine-generated text. Editors realized they needed a standardized language to discuss AI integration before clients dictated terms to them.
- Day 2: The Associated Press and the Lexicon of AI. The Associated Press dropped a cultural bombshell during its traditional stylebook session by announcing upcoming entries for "AI slop" and "AI agent." These terms signaled that the very vocabulary of the English language is shifting to accommodate the artifacts of automation.
- Day 3: The Em Dash Reckoning. The conference culminated in multiple specialized sessions dedicated entirely to the em dash—a punctuation mark that has unexpectedly found itself at the center of the cultural war over authenticity.
Who’s Afraid of the Big Bad Dash?
The obsession over the em dash stems from its perceived status as an AI "tell." During a densely attended session on the topic, Morgan Strunsky of Leff Communications, a Chicago-based content marketing agency, coined the term "flagxiety" to describe the collective nervousness plaguing modern writers and editors.
Strunsky outlined the growing list of suspected hallmarks of generative AI text: an overly arch tone, negative parallelism, stiff and waffly phrasing (such as "it can be argued that" or "broadly speaking"), an overabundance of lists, and, conspicuously, copious em dashes.
"Editors who know how to use em dashes can place that perfect em dash and really hammer their point home, really lean into that kind of oratory tempo," Strunsky explained. "When gen-AI is using them every other sentence, that’s a problem, and that is probably an indication of that use of AI. But if an em dash is the perfect punctuation for the point you’re trying to make, I think it’s more irresponsible to take that out and lose that meaning."
Strunsky warned that preemptively purging em dashes just to avoid AI suspicions degrades text quality. It actively works against the foundational purpose of writing: making communication effortless and clear.
A Brief History of the Versatile Stroke
To understand why the em dash has become the poster child for AI writing, veteran editors turned to the historical context provided by Merrill Perlman, former copy desks director for The New York Times.
Perlman traced the lineage of the em dash back to metal typesetting, where its physical width famously paralleled the uppercase letter "M." She noted how 19th-century typewriters lacked a dedicated em dash key entirely, forcing writers to improvise by typing two hyphens in succession.
Why do large language models love the em dash so much today? Perlman suggested two primary reasons. First, human writers have used em dashes extensively in the published texts, literary works, and journalism that served as the foundational training data for LLMs. Second, the em dash is uniquely versatile.
"An em dash could be a comma. It could be a semicolon. It could be, you know, a period. It could be not really a question mark, but, you know, it could be in any number of punctuation marks," Perlman said. "AI likes to sound smart, right? And writers are using it; writers have used it for centuries now. So, the LLM is picking this up, and it’s saying, ‘Hey, I want to sound writerly here.’"
As chatbot evolution marches on, relying solely on em dashes to spot AI will inevitably fail as models adapt. Perlman advised editors to lean on their hard-earned intuition: Is the rhythm off? Is the language less lyrical? If so, investigate.
Supporting Context & Metrics: The Threat to Livelihoods
The anxiety gripping editors is not merely stylistic; it is deeply financial. The rise of generative AI operates against a backdrop of severe economic contraction and widespread tech-industry layoffs.
Recent macroeconomic trends paint a grim picture for freelance writers and editors. Data published by The Guardian on September 2 revealed alarming trajectories in the freelance marketplace:
- A 21% Drop in Listings: In the eight months immediately following OpenAI’s public release of ChatGPT, job listings for roles vulnerable to automation plummeted drastically.
- Increased Competition: For the dwindling number of freelance listings that remained, market saturation intensified. Bids on platforms like Freelancer.com surged by 8% year-over-year as displaced professionals fought over a shrinking pool of work.
This precarious labor market formed the backdrop for VCON’s keynote address by lexicographer Kory Stamper. Stamper displayed a stark presentation slide featuring headlines about recent layoffs at media conglomerates like McClatchy.
Stamper’s own career trajectory reflects this upheaval. Once a prominent commercial lexicographer for Merriam-Webster and Dictionary.com, she now balances a "day job" editing across unrelated subject areas. She noted that editors face a dual battle: fighting for their economic survival while combating deeply ingrained societal misconceptions about their role.
Critics and corporate bosses often pigeonhole editors as joyless scolds—pedantic pedants who live only to hunt down misplaced commas and strangle creative joy. Worse, many organizational leaders simply fail to comprehend the editorial friction brought on by AI.
"Bosses or your clients say, ‘Look, the whole point is that these tools do the drudge work for you, right? So they free you and your companies and your writers up to focus on things that really matter, and that’s great,’" Stamper remarked. "Except that’s drudgery that I like. That’s my drudgery. Don’t cancel my drudgery."
Official Perspectives: Why Machines Can Never Truly Edit
The core friction between human editors and artificial intelligence lies in a fundamental misunderstanding of what language actually is.
Corporate leaders frequently frame editors as "bridges"—neutral, inorganic, inflexible conduits designed to ferry information efficiently from Point A to Point B. Stamper aggressively rejected this metaphor.
"Editors are the humans inside of this very often abstracted loop of writing and reading, or of content production and content delivery, or the very real loop of writers, reviewers, and readers," Stamper said. "Editors are in the middle of all of them, and they’re indispensable, because the medium that makes up this big loop that I’m talking about is language. Editing is not about the imposition of rules. It’s about communication."
The Failure of Statistical Probability
Large language models operate entirely on mathematics and probability. They predict the next most likely token based on vast numerical datasets. Because of this architectural limitation, AI fundamentally fails at contingency—the understanding that true communication is deeply tethered to specific writers, subjects, cultures, eras, and audiences.
A human editor understands intuitively that words carry cultural weight. For instance, a human recognizes immediately that "parsimonious" is a poor, overly ornate adjective to describe a lean corporate staffing approach (where "economical" would suffice), and that "facile" reads more naturally as "simplistic" to modern audiences than as "easy to use."
AI models are similarly incapable of genuine linguistic play. No chatbot would organically describe an office basement as "the fusty glut of old papers bunged hastily into metal bookshelves," because terms like "fusty," "glut," and "bunged" rarely cluster together in predictable statistical datasets.
"When we edit, we’re not just imposing rules like a punctuation fascist," Stamper concluded. "We’re helping the writer and the reader and the language between them all connect together. Editors love making these connections between what they know, what they’ve learned, and what they want to learn, and the writer and the reader. Because when we help make those connections, we’re not just facilitating communication; we are actually strengthening language itself."
Future Outlook: The Resilient Human Future of Language
As generative AI continues to mature, the role of the professional editor will inevitably evolve. The era of blindly policing punctuation marks out of "flagxiety" is ultimately a dead-end strategy. Chasing algorithmic footprints will not save editorial jobs; doubling down on distinctly human intuition, cultural context, and empathetic communication will.
The future of editing belongs to those who recognize that language is not merely a data transmission protocol, but a living, breathing cultural artifact. While algorithms can summarize, parse, and optimize at blinding speeds, they lack the intellectual curiosity, the lived experience, and the joyful appreciation of linguistic "drudgery" that define human editors.
The machinery may continue to advance, producing cleaner text and cleverer agents, but the vital space between writer and reader will always require a human heart—and occasionally, a well-placed, unapologetic em dash.
(Note: This story contains precisely one em dash, tactically placed. It was written entirely by a human being. We promise.)