Candidates Using AI: What Recruiters and Vendors Should Watch

Most candidates use AI, and that is fine

Let's start with something fair. Most candidates who use AI are doing what any sensible job seeker would do. They use it to fix grammar, tighten a resume, write a cover letter faster or practice interview answers. Recruiters use AI too. Holding candidates to a different standard doesn't make much sense.

The real question is where AI help ends and misrepresentation starts. And how recruiters and vendors can stay careful without treating every applicant like a suspect.

The legitimate uses

• Resume writing: rewording bullet points, fixing the format, matching the language of a job description.
• Cover letters: a first draft that the candidate then edits.
• Interview prep: practicing common questions, reviewing concepts, running mock technical interviews.
• Research: learning about the client's industry or the tools in the job description before the call.

None of this is a red flag. A well prepared candidate is a good sign.

The gray areas

Mass apply bots

Some candidates use tools that apply to hundreds of jobs automatically. The result is applications for roles they never read and may not want. You see it when a candidate doesn't remember applying, or can't say what the role is. It isn't exactly dishonest, but it wastes everyone's time.

Resumes that overreach

When a candidate asks AI to tailor a resume to a job description, the tool sometimes adds skills the person only touched lightly, or not at all. Sometimes the candidate doesn't even notice. So a resume that matches a requisition perfectly, line for line, deserves a closer look before you submit it.

The bad cases

Most candidates never do any of this. But a few cases go beyond help and become fraud, and they hit IT staffing harder than many industries because so much of the hiring is remote.

• Real time answer tools: software that listens to the interviewer and shows the candidate suggested answers on screen during a live interview.
• Proxy interviews: a different, more skilled person does the interview, and someone else shows up for the job.
• Deepfake identity: altered video or voice, or stolen identity details, used to pass as someone else.

The FBI's Internet Crime Complaint Center has issued a public warning about deepfakes and stolen personal information being used to apply for remote IT and technical jobs. US authorities have also warned about schemes where overseas IT workers use false identities to get remote jobs at American companies. So this is not only a theory, and clients know it.

How recruiters and vendors can stay careful

1. Camera on for video calls. Make it a stated, normal part of your process for every candidate. Watch for lip movement that doesn't match the audio, a face that blurs or freezes when the person turns, or eyes that keep reading off to one side.
2. Verify identity early. Ask for a government photo ID before submittal and compare it with the person on camera. Many vendors use an identity verification service for this. Check that name, location and work authorization match across the resume, the LinkedIn profile and the documents.
3. Ask technical deep dive follow up questions. Don't stop at "explain microservices". Ask about their own project. What broke? Why did they choose that approach? What would they do differently now? Real experience has details. Scripted answers stay general.
4. Check consistency. Compare what the candidate told you on your screen with what they say in the client interview. Compare employers and dates across resume versions. A different voice or accent between calls is a serious warning.
5. Do real reference checks. Reach references through company numbers you find yourself, and not only the mobile number on the form. Ask a former manager about specific projects and the candidate's role in them.
6. Confirm on day one. The person who starts must be the person who interviewed. Have the client manager or your team do a short video check in on the first day.

Keep it fair

Being careful doesn't mean being suspicious of everyone. Honest candidates get nervous, have slow connections, or look away while they think. A non native English speaker may pause longer before answering. None of these are signs of fraud on their own.

So apply the same checks to every candidate, and tell them up front. Something like: "Our process includes a video call with camera on and an ID check before submittal." Honest candidates are fine with that. Plus clear rules protect them too, because fraud makes clients slower and more suspicious of all remote candidates.

And be careful with what you do with your findings. Don't reject someone only because a detection tool flagged their resume as AI written. Those detectors are known to be unreliable, and a well written resume is not a crime. Focus on two things: can the person do the work, and are they who they say they are.

A note for candidates

If you are a candidate reading this, use AI to prepare, to write and to practice. That is smart. But make sure every line on your resume is something you can talk about in detail for ten minutes. And in the interview be yourself. Recruiters see many interviews and the scripted ones stand out quickly. When you are ready, you can share your profile with our team. For the broader picture, read how AI is changing IT staffing and consulting.

Written by

Israr Kazmi

Israr Kazmi is the founder of iCareTechno, the IT staffing, recruitment and consulting division of iCareBilling LLC in Chicago. He writes about hiring, vendor relationships and careers in IT.

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