The words AI overuses (and how to ban them from your writing forever)

If you want to stop sounding like AI, ban these words first. AI vocabulary is the second-fastest tell after the em-dash, and unlike the em-dash, it is fully under your control as a writer. The major foundation models have learned a specific cluster of words that they reach for as defaults: leverage as a verb, delve, unlock, navigate, harness, foster, elevate, embark, robust, seamless, comprehensive, holistic, plus the frame openers (in today's fast-paced world, in the realm of, when it comes to) and the bridge connectors (moreover, furthermore, additionally, that being said). None of these words is wrong in isolation. The cluster is the tell. When three or four of them appear in a single short post, the writing reads as AI-drafted even when a human wrote every word. This piece is the full list, the substitution table, the three-tier taboo system that lets you ban them at the workflow level, and why this matters for any writer who uses AI tools at all.

The companion piece is how to spot AI-generated content in 2026: the em-dash and 8 other tells. The em-dash post lists the tells; this post is the deep dive on the vocabulary cluster, with the practical substitution table you can paste into your drafting workflow today.

The 13 words AI overuses (and the substitutions that fix each)

The core cluster, organized by the function each word performs in AI writing. The substitution column gives the plain-English replacement that signals a human writer.

The verb sins (action words AI inflates)

• Leverage (as a verb). The single most overused AI word in business writing. Replace with use, deploy, apply, or rely on. "Leverage your network" becomes "use your network." The sentence is 30 percent shorter and reads as human.
• Unlock. The metaphor reaches for hidden potential. Replace with reveal, surface, find, access, or just drop entirely. "Unlock new opportunities" usually means "find new opportunities," which is a sentence a human would write.
• Navigate (the metaphorical sense, not the literal one). Replace with handle, work through, deal with, or get past. "Navigate complexity" becomes "work through the complexity."
• Harness. Same shape as leverage. Replace with use or channel. "Harness AI" becomes "use AI." The shorter form is the version a human would speak.
• Foster. Reads as nonprofit-grant language. Replace with build, grow, support, or encourage. "Foster community" becomes "build community."
• Elevate. Sounds like a coaching brochure. Replace with improve, raise, or upgrade. "Elevate your brand" becomes "upgrade your brand," and even that is a phrase to interrogate.
• Embark. Nobody actually says this. Replace with start, begin, or just delete the verb and rewrite the sentence. "Embark on a journey" should almost always be "start something" or rewritten entirely.
• Delve. The British-academic register that LLMs default to in long-form. Replace with look at, get into, dig into, or examine. "Delve into the details" becomes "get into the details."

The hedge cluster (adjectives AI uses to sound thorough)

• Robust. Reads as engineering-brochure copy in any non-engineering context. Replace with strong, solid, reliable, or drop entirely. "A robust framework" usually means "a framework that works."
• Seamless. The most overused user-experience adjective. Replace with smooth, easy, or specific. Better: name what the seamlessness is ("no extra clicks," "works without setup").
• Comprehensive. Empty word that signals the writer is unsure how to be specific. Replace with full, complete, or list what is actually covered. "A comprehensive guide" becomes "a guide that covers X, Y, and Z."
• Holistic. Word that signals the writer wants to sound thoughtful without naming what makes the approach different. Replace with the specific differentiator. "A holistic approach" should be "an approach that handles both X and Y."

The frame openers (sentence-starters that flag template register)

• In today's fast-paced world. Cut entirely. The sentence after the comma is the actual content.
• In the realm of [X]. Cut entirely. Replace with "in [X]" or just go directly to the substantive clause.
• In the world of [X]. Same as above. Cut.
• When it comes to [X]. The single most overused frame opener in AI writing. Replace with "for [X]" or rewrite the sentence to put the actual subject first.

The bridge connectors (transitions AI uses by default)

• Moreover. Almost no human writer says this in a tweet. Replace with also, plus, and, or restructure the paragraph. "Moreover, the data shows X" becomes "the data also shows X."
• Furthermore. Same problem. Replace with also, and, or what is more (used sparingly). Best is to rewrite the sentence so the connection is implicit.
• Additionally. Same family. Replace with also, and, or restructure.
• That being said. Most overused contrast bridge. Replace with but, still, or that said (which is the actual human-spoken version). Often the entire phrase can be dropped and the contrast carried by sentence structure alone.

Why these words specifically

The full mechanical explanation is in why every AI draft you write sounds the same. The short version: foundation models are trained on the average of the public web, and the average of the public web is heavy on business-writing style guides, content-marketing copy, and corporate communications. Those genres reach for words that signal professionalism without committing to specifics. "Leverage," "unlock," "robust," and "comprehensive" are all words that sound serious while saying very little. The model has learned that those words score well in the safety-and-helpfulness reward signal during training. Output that uses them passes the reviewer's bar. So the model defaults to them.

The result is that AI vocabulary converges on a narrow band of safe, register-elevated, specific-resistant words. A human writer trying to sound like a human breaks that band by picking the shorter, more specific, more colloquial substitute. The substitution is the move that recovers voice.

The three-tier taboo system

Banning words at the workflow level beats banning them in your head. Three tiers, in order of severity. Pick which tier each word in the cluster lives at, write it down, and enforce it at the drafting stage rather than the editing stage.

Tier A: hard bans. Words you refuse, full stop. For most writers, this tier includes leverage (as a verb), delve, embark, moreover, furthermore, additionally, in today's fast-paced world, and that being said. These eight do not appear in your writing under any condition. The hard ban is the line that defines the voice on the vocabulary signal of the 9 signals of voice. Taboos are signal 9; this is the practical version.

Tier B: contextual bans. Words you allow only in specific narrow contexts. "Navigate" is fine in literal contexts (navigating a city, navigating a UI), banned in metaphorical ones ("navigate complexity"). "Unlock" is fine for a literal action (unlock the app), banned as a metaphor ("unlock potential"). "Robust" is fine in engineering writing where the term has technical meaning, banned in marketing copy where it has no meaning. The contextual ban requires more attention than the hard ban but allows you to keep words that occasionally do real work.

Tier C: red-flag words. Words you allow but treat as warning signs. Every time "holistic," "comprehensive," or "seamless" appears in your draft, stop and ask whether you can replace it with the specific thing. Often the answer is yes and the replacement makes the sentence stronger. Sometimes the answer is no and the word stays. The Tier-C habit is the one that prevents voice from drifting back toward AI vocabulary even when you are not actively auditing.

How to actually enforce the bans

Bans you write down and then forget are not bans. Three enforcement methods that actually work, in order of how much friction each adds to your workflow.

Method 1: pre-publish find-and-replace. Before posting any piece of writing, paste it into a text editor and run a search for each Tier-A word. Any hits, rewrite the sentence. This is a 30-second pass and it catches everything. The friction is that you have to remember to run it. The fix is to make it the last step of your publish workflow so it becomes muscle memory.

Method 2: the vocabulary doc. Maintain a one-page document listing your Tier-A, Tier-B, and Tier-C words with the substitution for each. Share it with anyone who drafts on your behalf (ghostwriter, agency, internal marketing). The vocabulary doc is the explicit version of the voice signal cluster and the thing that makes voice transferable across writers.

Method 3: tool-level taboos. The highest-leverage option, but only available if your drafting tool supports it. A voice-trained AI writing tool can be configured to refuse Tier-A words at generation time rather than letting you catch them at the edit stage. This is what Auden does at the model level: the system refuses words like leverage and delve as part of the trained voice profile. The tool-level taboo is the only enforcement that scales as your publishing volume scales.

Why this matters even if you do not use AI

The AI vocabulary cluster has bled into general business writing because LLMs are now the median first-draft tool in marketing. Words that used to be merely overused (leverage, robust, comprehensive) are now actively coded as AI-shaped. A human writer who reaches for them in 2026 reads as AI-drafted even when no AI was involved. The substitution work is no longer optional for writers who want to signal voice. The base rate of AI usage on every channel has made the vocabulary cluster a stand-in for "this writing did not get human attention."

This is also how voice drifts over time even for writers who are careful. The mechanism is in voice drift: why most creators lose their edge after 10K followers. Vocabulary is one of the three drivers of drift, and it is the easiest one to reverse because it is the most explicit. A taboo list, run as a pre-publish check, prevents the slow vocabulary creep that compounds into AI-shape over months.

Where Auden fits

Auden, the brain inside VoiceMoat, has taboos installed at the model level. The Tier-A bans most writers maintain by find-and-replace are baked into the trained voice profile. The model refuses leverage, delve, and the other Tier-A cluster as part of how it was built, rather than as a styling layer applied on top. The full list of taboos for any given creator gets shaped by their own writing during training across the 9 signals of voice. The output is a draft that already passes the substitution test before the writer sees it, which is a different starting point than a generic LLM with a tone-of-voice prompt. The deeper case for why a voice-trained tool with refusals beats a polished generic LLM is in AI tweet writing without losing voice and the strategic argument in authenticity as a moat.

Quick checklist

• Write your Tier-A list. Hard bans. Leverage (verb), delve, embark, moreover, furthermore, additionally, in today's fast-paced world, that being said. Add your own.
• Write your Tier-B list. Contextual bans. Navigate, unlock, harness, foster, elevate, robust, seamless when used metaphorically or as register inflation.
• Write your Tier-C list. Red-flag words. Holistic, comprehensive, seamless, robust. Stop and substitute when these show up.
• Add a pre-publish find-and-replace pass to your workflow. 30 seconds. Catches everything.
• Share the vocabulary doc with anyone who drafts on your behalf. Voice signal #3 (vocabulary) and signal #9 (taboos) are the explicit form of brand voice.
• If your AI tool supports tool-level taboos (Auden, others), configure them. Tool-level enforcement is the only one that scales with publishing volume.
• Run the substitution test on your last 20 posts as a baseline audit. Count Tier-A hits. Anything non-zero is a voice-drift starting point.
• For the broader nine-tells active-avoidance checklist that wraps the vocabulary discipline above into a full draft-time refusal practice (em-dash count, symmetric two-clause hook, beige bullet middle, generic CTA close, symmetric paragraph rhythm, voice-flat coherence, missing taboos), see how to avoid the AI tells: a writer's checklist for 2026.