ok so 35%. That is the number that wrecked my week. 35% of candidates in a Fabric study of over 50,000 people were cheating with AI by December 2025, up from 15% six months earlier. i found that stat at like 1 AM on a Wednesday while trying to prove a former coworker wrong. he runs hiring at a SaaS company, maybe 400 people, and he had messaged me "i think a third of my candidates are getting AI help live and i literally cannot tell which ones." told him no way. a third seemed insane. turns out he was basically right.
that sent me down a month long rabbit hole pulling every stat i could find on AI interview cheating. only ones with real sources because every article i kept running into would say "studies show" and then just not link anything lol. could not find one place that had all the numbers so this is me trying to be that place.
back to Fabric. deeper study of nearly twenty thousand interviews. just under 40% of candidates flagged. technical roles closer to half, sales roughly a tenth. roughly a 4x gap. junior candidates with zero to five years cheated at nearly double the rate of senior people. a thread on r/recruitinghell from last month had a hiring manager saying a lot of new grads do not even view it as cheating which honestly tracks.
someone in that thread compared it to using a calculator on a math test, and that comparison would make hiring managers lose their minds lol.
the number that spooked the hiring manager the most was the 61% figure. 61% of cheaters scored above 7.0 passing thresholds and would have moved to the next round without detection. so more than half of the people using AI help are getting through. companies catch them later when the person falls apart in the first month, or just never catch them. could some of those 61% be legitimately good and just wanted an edge. maybe. but the performance data says otherwise.
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Try InterviewMan Freehe told me about one hire on his team last year who completely fell apart first sprint. took three months to manage that person out. that is not an anecdote that lives in a vacuum either. direct costs for a single bad hire in a hundred fifty thousand dollar engineering role run 30 to 150% of first year earnings. fifty thousand minimum, 42 days average time to fill before a restart. fifty thousand and 42 days because someone had ChatGPT whispering in their ear during a system design round lol
i asked him how he thought people were pulling it off and Fabric had numbers on that too. dedicated tools like Cluely and Interview Coder were almost half. talking to ChatGPT on a second device in voice mode was a third. tab switching and secondary screens just under a fifth. live human help only a rounding error at 3%. someone in a cybersecurity Slack i lurk in saw the split and said the move from improvised methods to dedicated tools reminded him of how phishing went from amateur emails to organized kits you can buy online. the floor keeps going up.
then there is the multi interview pattern. among candidates who interviewed multiple times almost half never cheated in any one of them. fine. 30% cheated in every single one. every. single. one. the other roughly quarter were situational, flip a coin depending on the day. that 30% though, those people are not experimenting. that is standard procedure for them. which is exactly what the hiring manager suspected when he messaged me that night about his third of candidates.
Karat saw a five fold increase in cheating detection over two years which lines up with what Fabric found. nearly six in ten hiring managers now suspect candidates are faking abilities with AI during live assessments. 62% said job seekers are better at faking than recruiters are at catching it. sixty two percent. shared that one with the same coworker and he went quiet for a second.
just quiet. then "yeah that sounds about right." 71% of recent job seekers admitted to cheating during hiring, everything from Googling answers to running full AI generators. one tech leader said 80% of candidates used an LLM on their top of funnel code test even though they were told not to.
timing patterns are kind of funny. Sunday interviews had the highest rate at 47.1%, other weekdays sat between 35 and 40%. Sunday makes total sense. people at home on a weekend with nobody watching. someone in the cybersecurity Slack called Sunday "cheat day in more ways than one" and i wish i could tell you i did not laugh but i did. remember that 35% from the top? the Sunday number is 47%. almost half.
Gartner projects by 2028 entirely fabricated candidate profiles will be 25% of the candidate pool. one in four. the hiring manager read that and said "so now i have to worry about whether the person even exists?" i mean. yeah.
deepfakes are picking up speed. 17% of HR managers in a mid 2025 survey said they ran into deepfake technology in a video interview. Q1 2025 alone had 179 deepfake incidents which beat the entire 2024 total. AI deepfake scams rose 700% in 2025 and deepfake fraud losses in the US tripled from 360 million to 1.1 billion dollars. a recruiter i used to work with told me she had a candidate last month whose video lighting on their face looked slightly off compared to the room behind them. she could not prove anything. said it was weird though.
twenty plus interview AI tools are on the market now, browser extensions to desktop apps. pricing runs from twelve dollars a month for InterviewMan on the annual plan up to two hundred ninety nine for Interview Coder which only does coding rounds. the Cluely breach in mid 2025 exposed 83,000 users (and which interviews each person used the tool in) after hackers found an admin password in a public GitHub repo. that rattled a lot of people.
disclosure, i work on InterviewMan. the thing we care about most is whether a tool protects your data or leaves you hanging. InterviewMan runs as a desktop app not a browser extension so it does not show up in proctoring logs. 57,000 people use it, 4.8 stars from 257 ratings, twenty plus stealth features, twelve bucks a month annual. across all those users there is not one confirmed detection report on any proctored platform.
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