AI detectors are getting smarter. We expose the "hallucinated" skills and generic sentence structures that scream "AI-generated" to hiring algorithms.
The "Generic Fluff" Problem
We love ChatGPT. We use LLMs to power our own analysis. But raw, unedited ChatGPT output is terrible for resumes. Why? Because LLMs are trained to be average. They generate text that is statistically likely, which means it is statistically boring.
The ChatGPT Default: "Spearheaded dynamic synergies to optimize workflow efficiencies."
This sentence means nothing. It is "corporate filler". Recruiters have read this exact sentence 1,000 times this week. When your resume sounds like everyone else's, you don't stand out.
Hallucinations and Over-Inflation
If you paste a job description into ChatGPT and say "Tailor my resume to this", it will often obligingly add skills you didn't claim to have.
We've seen candidates arrive at interviews unable to answer basic questions about "Kubernetes" because ChatGPT added it to their summary to improve their "match score". This is an immediate fail.
The "AI Accent"
AI models have a specific cadence and vocabulary. They love words like "tapestry", "delve", "orchestrate", and "comprehensive". When a recruiter sees a summary that reads like a Victorian novel about software engineering, they know a robot wrote it.
The Hybrid Approach: The Winning Strategy
Don't ban AI; use it as a Force Multiplier, not a replacement.
- Drafting: Use AI to generate 5 variations of a bullet point, then pick the best one and edit it to sound like you.
- Quantifying: Ask AI: "How can I make 'Managed a team' sound more impactful?" It might suggest adding team size or outcomes.
- Proofreading: AI is excellent at catching typos that human eyes miss.
Conclusion
Use AI to sharpen your sword, not to fight the battle for you. Your unique voice, your specific metrics, and your human story are the only things that cannot be automated.