Can You Spot AI Cheating in a Tech Interview? Here’s How Top Employers Are Adapting

As more candidates turn to generative AI to ace coding tests and technical screenings, it’s clear we’ve entered a new phase of hiring challenges. In fact, even Google is rethinking how it evaluates tech talent.

But what if ditching virtual interviews isn’t an option for your team?

At Capstone IT, we’ve been tracking the AI cheating trend, and we’ve developed clear, practical strategies to help hiring managers stay ahead.

Here are three proven ways to detect and deter AI-aided interview deception:

1. Diversify Your Assessment Types

Standard multiple-choice tests are easy to game with AI tools. Layer in practical coding simulations, architecture challenges, or verbal walkthroughs to test true comprehension.

2. Add a Human-in-the-Loop Review

AI answers can be technically correct but contextually flawed. Having a seasoned engineer or hiring manager review candidate responses will help surface red flags AI tools might miss.

3. Train Your Interviewers to Spot AI-Scripted Behavior

From oddly structured speech to a lack of iteration under pressure, trained interviewers can identify when a candidate’s responses feel robotic or too perfect to be true.

Why It Matters

If you're hiring IT or engineering professionals, it's vital to have an interview process that keeps pace with the tools candidates are using. Getting it wrong can mean hiring someone who looks great on paper but can’t deliver on the job.

As a staffing partner that prioritizes technical vetting, Capstone IT ensures our clients receive candidates who’ve passed multi-layered, AI-resistant evaluations.

Ready to future-proof your hiring process?

Read the full article for real-world insights you can implement right now.