Your Candidates Now Have to Prove They’re Not a Bot
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A hiring manager on a Zoom call now sometimes asks the candidate to do something odd: take down the virtual background, turn the laptop camera in a slow circle around the room, or wave a hand in front of their own face. The Wall Street Journal reported this weekend that employers are adding these checks because an AI-generated face on a video call usually can’t hold up to them. A synthetic background collapses, and a hand passing in front of a fake face breaks the illusion in a way a static image never will.
The scale of the problem is what makes this more than a novelty. A Checkr survey of 3,000 hiring managers found 59% suspect candidates have used AI tools to misrepresent themselves somewhere in the hiring process. 59% is a majority of the people doing the hiring, worried about the same thing.
The defenses read like something out of a fraud-prevention playbook, not a recruiting one. Companies are checking IP addresses to catch candidates who claim to live in one city while applying from another country, including cases tied to fraudulent workers operating out of North Korea. Interview software now watches for tab-switching mid-answer, a signal that a candidate might be reading AI-generated text off a second screen. Some employers have moved live-typing answers into a shared document, where copying and pasting from an AI tool is obvious the moment it happens, after take-home assignments got so flooded with AI-written work that they stopped being useful as a filter at all.
The old-school fix is coming back too. A growing number of companies now require an in-person interview, with coding tests done on site, before they’ll extend an offer. Hiring managers told the WSJ that AI-assisted answers tend to give themselves away on their own: they arrive too clean, missing the tangents, pauses, and false starts that real thinking produces under pressure.
I’d call this an arms race, and I don’t think that’s an exaggeration. Employers spent the last few years leaning on AI to screen out applicants at scale, candidates responded by using AI to apply at scale, and now both sides have landed in a standoff where meeting face to face is the only move left that neither side can fake. Watch how fast the in-person interview finishes its comeback over the next year, especially for roles where a bad hire is expensive to unwind.
There’s a cost to all of this that falls on the honest applicant. When 59% of managers assume some share of candidates are misrepresenting themselves, every candidate pays a tax in the form of the camera pans, the hand-waving, and the software quietly watching for tab switches, whether or not they’ve done anything wrong.
It also explains something about where staffing is headed. A recruiter who has spoken with a candidate, checked real references, and placed that person before has already solved the verification problem the old-fashioned way. Knowing who someone is, not just what their resume claims, was always part of the job. It just became the valuable part again, and it’s a big part of what we do through our staffing services every day.
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The Jobs Data Just Passed Its Annual Credibility Test
While employers were busy verifying candidates, the government was busy verifying its own numbers, and the timing made this a good week to check both. Every year the Bureau of Labor Statistics compares its monthly jobs survey against a far more complete count pulled from state unemployment insurance tax records. BLS just released this year’s preliminary result for March 2026, and the monthly numbers held up.
The comparison found the economy had 79,000 fewer jobs in March 2026 than the monthly survey originally showed, a revision of just 0.1%. This is half the size of the average annual miss over the past 10 years, which BLS puts at 0.2% in the release itself. For context on how far this is from a crisis: the preliminary revision erased 818,000 jobs in 2024 and another 911,000 in 2025, misses large enough to trigger a real crisis of confidence in the data and, in the middle of it, cost the BLS commissioner her job.
Underneath that small headline number, two bigger revisions mostly canceled each other out. The survey overcounted private employment by 178,000 jobs and undercounted government employment by 99,000. By industry, according to the same release, retail took the largest cut at 154,600 jobs (down 1%), while the survey undercounted transportation and warehousing by 135,100 (up 2%). Information came in 87,000 jobs higher than originally reported, construction gained 62,000, and financial activities gained 85,000. On the other side, manufacturing lost 67,000, private education and health services lost 96,000, and wholesale trade lost 86,200. The final version of this revision lands in February 2027, alongside the January jobs report.
This matters for anyone making a hiring decision off the monthly numbers all year. Nobody gets to wave off the slow, cautious hiring market the reports have described as a survey glitch anymore, and nobody gets to claim the economy secretly added more jobs than we’ve seen either. The private sector had even fewer jobs than the monthly survey showed, and government had more. What the monthly reports described all year is close to what happened, which is the best endorsement this data has gotten in three years. I broke down what that slow hiring pattern looked like month to month in July’s jobs report, and this revision confirms the read was right.
Worker Confidence Ticked Up, But Not Because Anything Got Better
Employee confidence rose slightly in August after hitting an all-time low in July, and the reason behind the bounce says more than the bounce itself. Glassdoor’s Employee Confidence Index found the share of workers who feel positive about their employer’s next six months rose to 44.1%, up from 43.6% in July.
Glassdoor’s chief economist, Daniel Zhao, credited the improvement to a quiet month, not any real good news. Workers stayed anxious about job security, layoffs, and AI. Confidence recovered a little mainly because nothing new went wrong, like another spike in energy prices piling onto an already nervous workforce.
The industry numbers show exactly where that anxiety concentrates. Telecommunications has lost 12.1 percentage points of confidence over the past year, the worst drop of any industry tracked, and now sits at just 31.4%. Restaurants and food service dropped 9.6 points year over year, and hotels and travel dropped 8, with workers in both industries reporting burnout, shaky job security, and mounting pressure from leadership. Insurance fell 5.7 points, and Zhao ties that one directly to AI: Glassdoor’s own research found claims adjusters report more frustration with AI than workers in any other job, feeling pressured to raise their output or risk AI replacing them.
The seniority breakdown might be the most telling number on the page. Entry-level confidence rose 1.8 points in August, helped by unemployment for workers aged 21 to 24 improving to 7.1% from 7.9% a year earlier. Mid-level workers lost the most confidence of any seniority group over the past year, while senior-level confidence climbed 4.9 points year over year. Read that split next to the entry-level warning I covered a few weeks back on AI’s effect on the earliest career stage, and a pattern starts to form: the people making the AI and headcount decisions feel better than they did a year ago, and the people those decisions land on mostly don’t.
The insurance detail is worth sitting with a little longer. Claims adjusters hold the kind of stable, white-collar, process-driven job people used to point their kids toward. When leadership tells that workforce to produce more or get replaced by AI, a confidence drop like this one is the predictable result, not a surprising one.
One number worth noting on the way out: HR and staffing sits at 53.4%, near the top of the entire industry table and one of the few sectors up year over year. The people working inside the talent business can feel the demand for help navigating a market like this one, even while workers everywhere else feel it getting harder.
