When hiring goes quiet, workers start hedging their bets
“It told me I was AI.” A US job seeker typed that line into an open-ended survey question about the strangest experience they had with hiring software. The writer was applying for a job, and an algorithm judged them not human enough.
A few years ago, that would have been an outlier. The numbers suggest it may no longer be. In April 2026, career platform Enhancv surveyed 1,066 U.S. job seekers about the receiving end of AI hiring. Half of them (50.5%) reported at least one rejection in the past year with no human feedback. Among that group, 63.8% believed a machine made the call. Only 9.7% of all respondents said an employer had clearly told them AI was involved.
A funnel people are leaving
Silence has consequences. In the same AI hiring statistics study, 31.4% of candidates said they had abandoned an application or declined an interview because of a one-way AI video or chatbot screening. Of the abandoned roles with a reported salary, 79.1% paid under $100,000.
Trust is thin as well. Some 47.7% of respondents agreed that AI hiring tools carry biases that make it harder for someone of their age, race, gender, or background to get hired, and 25.8% disagreed. Disclosure did not settle the matter. Candidates who learned about AI only through fine print agreed at a net rate of 65%, compared with 35.8% among those who did not know AI was used at all. Meanwhile, 49.6% of candidates now use AI themselves during the process, mostly for interview practice.
Employment as risk management
Those findings sit beside a second Enhancv survey, this one of 1,000 full-time professionals about holding more than one job at once. Nearly 80% of respondents agreed that multiple jobs protect against layoffs and economic instability. Some described a second paycheck as “unemployment insurance.”
The profile of these workers may surprise you. More than half reported working mostly in-office roles, and participation extended beyond software into education, healthcare, and operations. Enhancv reads the pattern as an economic response to uncertainty. Employer policies and employment contracts on outside work vary, and the research describes attitudes without recommending the practice.
Ghost job listings, layoffs that follow strong performance, and return-to-office mandates all feed the same mindset. Some professionals now treat employment as a portfolio of income sources. Loyalty to a single employer carries less weight than it once did.
AI-assisted workflows add another layer. Enhancv’s researchers point to rising workloads alongside efficiency gains that cut the time many tasks require. That shift changes what a full workday can produce, and it raises questions about what “full-time” means.
What it means for you
If you are searching for a job, the data points to an information gap. Most candidates in the survey were guessing at the rules, the rubric, and the role AI played in their results. The study’s authors argue that the policy conversation should move from whether companies disclose AI to how they do it, since fine print reads to candidates as a hedge.
The study closes with the line “hiring has gone dark.” Workers are responding as people do in any unstable market: they diversify. Some do it with AI tools of their own, and others do it with a second source of income.
