Technical Interview Trends 2025–2026: The Data on AI, Cheating & What Changed

In the span of about eighteen months, generative AI stopped being a novelty in hiring and became the substrate the whole process now runs on — for interviewers and candidates alike. We pulled together the year's most credible survey data to answer one question: what actually changed in the technical interview, and what should hiring teams do about it?

Trend 1: AI adoption went near-universal — on both sides

The headline number is almost hard to believe: 96% of hiring professionals say they now use AI in at least some recruiting tasks, and organization-wide adoption roughly doubled year over year, from 26% to 43%. Among organizations using AI, about two-thirds apply it directly to recruiting, interviewing, and hiring.

Candidates matched the pace. Around 74% of US job seekers now use AI somewhere in their search — resume drafting (55%), interview prep (53%), and, more pointedly, roughly 22% admit to using AI assistance during live, real-time interviews. Engineering leaders put the real number higher: in Karat's survey they estimated that over half of candidates use AI even when explicitly told not to.

The most revealing statistic is the double standard: 54% of hiring managers say they would penalize a candidate for using AI on their application — while 96% of those same managers use AI in their own hiring tasks. That gap is the tension underneath every debate about interview integrity in 2026.

Trend 2: Traditional formats lost their signal

The clearest technical-hiring finding of the year: the formats teams relied on for a decade stopped predicting on-the-job performance. In Karat's survey of 400 engineering leaders, 71% said AI is making technical skills harder to assess, and the "signal from take-home projects and automated code tests degrades the fastest" — because a candidate can paste the prompt into an AI and return a working solution with zero visibility into their process.

CoderPad's data shows the market already voting with its formats. When asked which methods best reflect real on-the-job ability, recruiters ranked live coding and technical discussion at 60% each, while take-home projects landed at just 12% and asynchronous tests at 7%. Resume review is the starkest gap of all: 69% of recruiters still use it, but only 16% believe it predicts performance.

What replaced them is telling. The skills leaders now weight most heavily when AI is allowed in the room: catching and fixing AI's mistakes (66%), explaining trade-offs and correctness (56%), and iterating to improve AI output (28%). Writing new code from scratch is projected to decline in importance over the next three years; debugging, fine-tuning, and system design are all projected to rise.

Trend 3: The cheating fear shifted from copy-paste to autonomous agents

A year ago, the archetypal cheating worry was a candidate pasting from ChatGPT. In 2026, the top concern named by hiring teams is agent-generated solutions (52%) — AI agents completing entire assessments autonomously, a category that barely existed in the prior survey. Behind it: identity fraud (20%), shadow collaboration (16%), and old-fashioned plagiarism (8%).

Identity fraud deserves special attention because it's growing fastest and hurts most. Half of businesses report encountering AI-driven deepfake fraud in some form; 62% say candidates fake identities better than HR can catch them, yet only 31% have any detection software and 48% of HR teams have received no fraud training at all. Gartner projects that by 2028, one in four candidate profiles worldwide will be fake. This is no longer a coding-integrity problem — it's a "is this even the person we're hiring?" problem.

The response has been an arms race: 61% of companies now run software to detect AI use during interviews, up sharply from the year before. But detection tools vary wildly in honesty and accuracy, which is exactly why a growing number of teams are pairing lightweight monitoring with a much older technique — talking to the human.

Trend 4: In-person interviews came roaring back

Perhaps the most surprising reversal of the year. After a half-decade of remote-first hiring, in-person interview requests jumped from 5% in 2024 to 30% in 2025 — a roughly 500% surge. Gartner reports that 72% of leaders are moving toward at least some in-person stages, and 39% say they're doing more face-to-face interviews specifically because of AI-cheating and identity concerns.

This isn't a rejection of remote work — the same period saw developer attrition hit a five-year low, with only 39% considering leaving (down from 52% in 2022), and work-from-home options still cited as a top reason people stay. It's a targeted response: teams want a verified human at least once in the loop. For fully-remote roles where flying candidates in isn't practical, that verification burden falls on the tooling.

Trend 5: Candidates are quietly walking away

The trend most hiring teams underestimate. As AI screening and AI interviewers proliferated, candidates started opting out. In Greenhouse's 2026 survey of nearly 3,000 job seekers, 63% had been interviewed by an AI (up 13 points in six months) — and 38% had abandoned a hiring process because it included an AI interview, with another 12% saying they would.

The friction isn't AI itself — only 19% of candidates want less of it. It's the way it's deployed. 70% were never clearly told upfront that AI would be evaluating them; 21% only discovered it once the interview began. The top triggers for walking away were a pre-recorded video scored by AI with no human (33%), a failure to disclose AI use (27%), and AI monitoring during the process (26%). And after all that, 51% never heard back at all.

What candidates ask for is modest and consistent: upfront disclosure (44%), an explanation of what the AI measures (39%), the option to request a human (46%), and a human reviewing the AI's evaluation before a decision (38%). The lesson for hiring teams is blunt — monitoring and AI are tolerated, even welcomed, but only when they're transparent and paired with human judgment. Do it secretly and your best candidates, the ones with options, leave first.

What it means for your hiring in 2026

Pulling the five trends together, a coherent playbook emerges:

1. Assume AI is in the room. Over half of candidates use it even when told not to. Rather than a futile ban, decide deliberately what you allow — and test the skills that matter when AI is present: catching its mistakes, explaining trade-offs, iterating.
2. Move from artifacts to observed process. Take-homes and automated tests have the weakest signal now. Live, watched work — where you see how someone solves — is where the market is heading, and where cheating is hardest to hide.
3. Verify the human. With deepfake fraud hitting half of businesses and Gartner projecting one-in-four fake profiles by 2028, confirming identity is no longer optional for remote roles. A liveness check and a photo you can eyeball go a long way short of flying everyone in.
4. Be transparent — it's a competitive advantage. Candidates don't hate monitoring; they hate secret monitoring. Disclose what you observe, show them the same signals, and keep a human in every decision. Done well, 38% of candidates leave with a better impression of your company.
5. Use scores as triage, never verdicts. Every credible source lands in the same place: automated signals should prompt a better follow-up question, not an automatic rejection. "Suspicion is not detection." The human conversation is still the ground truth.

This is precisely the model InterviewGuard is built around — consent-based, transparent behavioral monitoring plus optional identity verification, delivered as a live review-priority score with the follow-up questions to confirm it. The candidate sees exactly what the interviewer sees. See how it works, or read our companion guides on how candidates cheat with AI and whether interview proctoring is legal.

Sources

Karat, Engineering Interview Trends in 2026 (survey of 400 engineering leaders) · CoderPad, State of Tech Hiring 2026 (650+ developers & recruiters) · Greenhouse, 2026 Candidate AI Interview Report (2,950 job seekers) · The Interview Guys, The State of AI in Job Interviews 2026 · Forbes, The Rise of AI Cheating Culture · Gartner deepfake & fake-profile projections.

Figures are drawn from third-party 2025–2026 industry surveys; several originate from vendors that also sell hiring or detection products, so treat directional trends as more reliable than any single point estimate. InterviewGuard provides consent-based behavioral integrity monitoring and optional identity verification — a triage aid, not proof of misconduct, always paired with human judgment.