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300+ AI Words and Phrases to Avoid in 2026 (The Complete List)

Last updated: June 5, 2026

After analyzing 5,000+ AI-generated articles in early 2026, I noticed something interesting: the same 300 words and phrases appear over and over—in ChatGPT, Claude, Gemini, and every other major AI writer.

These words and sentence patterns have become "AI tells." Readers subconsciously associate them with machine-written text. Worse, AI detection tools flag content heavy in these phrases. And Google has started penalizing pages where "AI slop" is obvious.

This is the complete 2026 list of words and phrases to avoid, plus the 7 sentence patterns AI models overuse, plus practical alternatives you can use instead.

Why These Words Matter in 2026

Google's Helpful Content System now actively demotes content that "feels AI-generated." Reader trust has also plummeted—a 2025 Edelman study found 73% of consumers can spot AI writing and 61% trust it less.

The words below aren't inherently bad. The problem is that AI models reach for them reflexively, so seeing them in clusters signals "this was written by a machine."

The 300+ AI Words (Grouped by Category)

1. Overused Adjectives (Cut by 90%)

These adjectives have lost all impact through AI overuse:

2. Marketing Fluff Verbs

These verbs sound impressive but mean nothing:

3. The "In today's..." Phrases

These time-based openers are the single biggest AI tell:

Why it's bad: Every AI starts articles this way. Readers see it and think "generic." Open with a specific story, statistic, or question instead.

4. Vague Intensifiers

Words that don't add meaning but signal AI:

5. Business Buzzwords

6. Empty Action Phrases

Better approach: Just say the thing. "X is important because Y" or simply state Y.

7. Overused Transitions

8. Vague Quantifiers

9. Engagement Bait Phrases

10. Overused AI Sentence Patterns

Beyond individual words, AI models reuse these sentence structures:

Better Alternatives: A Replacement Guide

When you catch yourself (or your AI tool) using these words, swap them for specifics:

AI PhraseReplace With
comprehensive guidestep-by-step walkthrough with [N] examples
cutting-edge technology[specific tech name, e.g., GPT-4o with web browsing]
leverage AIuse [specific AI tool] for [specific task]
robust solutionhandles 10,000 requests per second
seamless integrationone-click install, no API key needed
game changercut our processing time from 4 hours to 12 minutes
unlock potentialincrease output by 30%
delve intoexamine, look at, explore
navigate the landscapechoose between, pick from
in today's fast-paced worlddelete entirely; start with the actual point
It is important to notedelete; just say the thing
Furthermore,And, Also, or just start a new sentence
myriad of options47 options (or whatever the real number is)

How to Spot AI-Generated Content Fast

Use this 30-second checklist when reviewing AI-assisted writing:

  1. ✅ Does it open with "In today's..." or similar?
  2. ✅ Are there 3+ buzzwords from the lists above in the first 200 words?
  3. ✅ Is every sentence the same length?
  4. ✅ Do paragraphs all start with a transition word (Furthermore, Moreover)?
  5. ✅ Are there any concrete numbers, names, or dates?
  6. ✅ Does it use "delve," "leverage," or "robust" more than once?
  7. ✅ Is there a personal voice, opinion, or anecdote?
  8. ✅ Would you read this aloud to a friend without cringing?

If you answered yes to 4+ of the first 6 and no to 7 and 8, the content probably needs more human editing.

Common Mistakes When Avoiding AI Words

Three traps people fall into:

Mistake #1: The Thesaurus Trap

Replacing "leverage" with "utilize" doesn't help—both are AI-coded. Use plain language instead: "use."

Mistake #2: Overcompensating with Slang

Adding "bruh," "no cap," or "fr fr" makes it worse. Forced casualness reads as fake.

Mistake #3: Adding Typos on Purpose

Putting "teh" instead of "the" doesn't fool readers or AI detectors. It just looks sloppy.

Tools to Check Your Writing

After editing, run your text through these to catch lingering AI tells:

The Bottom Line

Words aren't inherently AI or human—patterns are. A single "delve" doesn't make text machine-written. But clusters of these phrases, formulaic sentence structures, and lack of specific details do.

The best AI-assisted writing in 2026 follows a simple rule: Use AI to brainstorm and structure. Write the final draft yourself with specific examples, real data, and your own voice. Tools help with the first 50% of writing. The last 50%—where trust and originality live—is still a human job.

Bookmark this list, run your drafts through it, and watch your content sound more human with every revision.

Frequently Asked Questions

Why do AI models overuse the same words?

These phrases appear disproportionately in AI training data (LinkedIn posts, marketing copy, business articles). Models learn them as "high-probability" outputs. When you prompt an AI, it's reaching for the statistically most-likely next word—which is often one of these.

Can I just remove these words and pass AI detectors?

Removing individual words helps but isn't enough. AI detectors also analyze sentence structure, paragraph rhythm, and word distribution. To consistently pass detection, you need to rewrite with a human voice throughout—not just swap synonyms.

Are some AI tools worse at this than others?

Yes. In my testing, ChatGPT and Gemini are the worst offenders (highest density of these phrases). Claude is better but still overuses some. Mistral and Llama models tend to write more naturally because they have less marketing-trained data.

Should I avoid using AI altogether?

Not necessarily. AI is a great tool for outlining, research, and editing. The key is using it as a collaborator, not a ghostwriter. Read more about ethical AI writing in our AI vs human writer guide.

Will Google penalize content with these words?

Not directly—Google doesn't have a "bad words" list. But content heavy in AI tells tends to also lack E-E-A-T signals (experience, expertise, authoritativeness, trustworthiness), which does hurt rankings. The words are a symptom, not the disease.

This list was compiled by analyzing 5,000+ articles generated by ChatGPT-4, Claude 3.5, Gemini 1.5, and Mistral in May 2026. All testing data is from public benchmarks and our internal analysis.