On November 2, the Chartered Management Institute reported that nearly three in five UK managers have noticed or suspected a candidate using AI during an online job interview. The poll covered 928 practising managers in employment in the UK, surveyed September 14 to 23, 2026. The finding is not that candidates cheat. It is that hiring managers no longer trust what they see on screen.
The same week, the US labor market kept moving. Employers added 165,000 jobs in October, and 3.4 million people quit their jobs in September. Candidates have options, and employers have doubts. Trust is now the candidate experience, and it is decided before the first human conversation.
What did the UK managers actually report?
Nearly three in five managers polled, 58 percent, said they had noticed or suspected a candidate using AI during an online job interview. Nine in ten, 90 percent, said candidates use AI to help write CVs or cover letters, up from 79 percent in November 2024. Almost all of them, 98 percent, identified at least one negative reaction to AI reliance during interviews.
The reactions were specific. More than half, 56 percent, said it feels inappropriate. Half worried the candidate may be misrepresenting skills or experience, and the same share said it makes them less confident in the candidate's overall ability. Almost half, 46 percent, said it raises questions about whether the candidate can work independently. One in five, 20 percent, regarded it as dishonest.
More than half, 54 percent, said their initial reaction is that they are not getting a true sense of the candidate. Petra Wilton, Director of Policy at the Chartered Management Institute, put the advice to candidates plainly. "Candidates, especially those who are early in their career, need to think about how to build their own communication and critical thinking skills so that AI reliance does not undermine their chances of landing the job."
Picture a hiring manager opening a video call with a finalist. The answers arrive polished and instant. The manager ends the call unsure whether she interviewed the candidate or the candidate's software. That doubt is the story of the poll. The figures are suspicions and perceptions, not confirmed use, and belief is what shapes the hiring decision.
Why does suspicion run both ways?
Employers are not the only side losing faith. SHRM reported that 66 percent of recruiters said they have found it harder to find quality talent, while 65 percent of global job seekers said the job search has gotten harder. SHRM uses the term "skillfishing" for candidates claiming skills, credentials, or capabilities they do not really possess, seen from the entry level all the way up to the executive level.
An Equifax survey of more than 350 HR professionals found the same tension from the employer's chair. More than three in four HR professionals, 77 percent, have encountered candidates who fabricated or misrepresented their experience, up from 71 percent in 2025. Employment history is the leading area of concern, cited by 50 percent of HR professionals.
The same survey shows why the doubt cuts both ways. Nearly eight in ten respondents, 78 percent, said AI successfully drives efficiency in hiring and onboarding. Yet more than one in three, 36 percent, said candidate use of AI to generate application materials has reduced their confidence in hiring decisions. Only 24 percent described themselves as "very confident" in their team's manual ability to identify misleading information, while 69 percent felt generally confident.
Talent acquisition expert Tim Sackett said it plainly at SHRM26: "Humans should be at the center of the moments that matter." Both sides now use AI, and both sides doubt the result. The process that wins is the one that puts a person back where the decision is made.
What does the wider job market look like right now?
The U.S. Bureau of Labor Statistics reported 7.5 million job openings in September, a rate of 4.5 percent, and 5.4 million hires, a rate of 3.4 percent. Quits rose to 3.4 million, a rate of 2.1 percent, up 375,000 over the year. Layoffs and discharges were little changed at 1.6 million, a rate of 1.0 percent.
Openings are counted on the last business day of the month, while hires cover the full month, so the gap between the two is not a measure of hiring speed.
The U.S. Bureau of Labor Statistics reported that employers added 165,000 jobs in October, well above the average monthly gain of 48,000 over the prior 12 months. The unemployment rate changed little at 4.1 percent. Professional and business services added 70,000 jobs. Average hourly earnings reached $38.00, up 3.1 percent over the past 12 months.
The read is simple. Hiring is moving, and workers are moving too. Quits at 3.4 million mean people are still choosing to leave. The first conversation is where trust gets tested, and it is tested on both sides of the screen.
What does the law now require?
Colorado's revised AI law, Senate Bill 26-189, was signed on May 14, 2026 and takes effect January 1, 2027. Employers using automated decision-making technology that materially influences hiring must disclose that they are using those tools. People who suffer an adverse outcome may request "meaningful human review and reconsideration" of the decision, according to HR Dive.
The law applies to decisions made on or after January 1, 2027, and covers Colorado residents and people evaluated for opportunities in Colorado. Disclosure is becoming a legal duty, not a courtesy.
The managers polled agree with the direction. The Chartered Management Institute found 91 percent of them said candidates should be told when AI is being used by an employer in recruitment. The same share said employers should regularly check that AI systems produce fair outcomes for different candidates.
What should talent leaders do this week?
Disclose AI use at every step where it touches a candidate. Name the tool in plain words, in the job post and before the interview. A candidate who learns about it from a rejection letter may not apply again.
Put a named human reviewer on every shortlist decision. No rejection goes out without a person reading the file. That rule matches the 92 percent of managers polled who said AI should support rather than replace human judgement.
Verify identity and claimed skill before the human conversation. Check employment history and credentials against a trusted record, not against the polish of the application.
Reply to every candidate, including the ones you reject. A reply costs a minute. Silence costs the next application, and the one after that.
Measure time to a verified shortlist, not time to first reply. Speed matters only after the file is real. A fast reply to a file nobody verified is not speed. It is noise.
What does this mean for hiring?
UPPER covers the step before the check. From one job description, it sources across major job channels, scores candidates against the real role, runs outreach, and returns interested candidates for your team to verify and decide.
The employers who win trust will be the ones who put a person back at the moments that matter. AI can screen, rank, and schedule. It cannot vouch for a person. That is the work of a human reviewer, and it is now the candidate experience.
Build the process that way, and say so in the job post. The candidates worth hiring will believe you, because they will have seen it.