Hiring Statistics (2026): Time-to-Hire, Cost, AI, and Ghosting Data

Where this data comes from

This report draws on 2026 data from SHRM's Recruiting Benchmarking research, the U.S. Bureau of Labor Statistics' Job Openings and Labor Turnover Survey (JOLTS), LinkedIn Talent Solutions, Gartner surveys of job applicants and TA leaders, Indeed Hiring Lab, Glassdoor's Worklife Trends research, The Josh Bersin Company, and the Professional Background Screening Association (PBSA). Figures are cited inline and listed in full under Sources below. Where a statistic reflects a single employer's or platform's dataset rather than a national benchmark, that's noted in the text.

Time-to-hire and cost-per-hire benchmarks

The headline number for 2026 is a faster funnel. SHRM's Recruiting Benchmarking research puts the median time-to-fill for nonexecutive positions at 39 calendar days in 2026, down from 44 days in 2025. Executive roles now take a median of 45 days, well below the 60-day median SHRM recorded in 2022.

Cost is moving in the opposite direction of speed. SHRM reports the median cost-per-hire for nonexecutive roles ticked up slightly from $1,200 in 2025 to $1,300 in 2026, while executive cost-per-hire jumped from a median of $10,600 to $15,000 over the same period — a reminder that senior searches remain far more expensive per role than the volume hiring most employers do day to day.

Recruiter workload has also climbed. SHRM found the median number of open requisitions per recruiter rose from 20 in 2025 to 25 in 2026, and in extra-large organizations that figure jumped from 60 to 100 requisitions per recruiter. Ninety-seven percent of nonexecutive positions were filled externally in 2026, up from 93% the prior year, according to the same SHRM Recruiting Benchmarking data brief.

Technology is one of the clearest levers on speed. SHRM notes that organizations using more advanced recruiting technology, including AI, fill open roles roughly five days faster than organizations that don't. The Josh Bersin Company's 2026 research on agentic recruiting tools describes early adopters compressing sourcing-to-offer cycles "from two weeks to three days" in some deployments — though it also notes that fewer than 5% of employers with frontline workforces currently use agentic recruitment tools, meaning most of the market hasn't captured that speed yet.

Macro labor-market data backs up the sense that hiring has cooled from its post-pandemic peak. The BLS Job Openings and Labor Turnover Survey for May 2026 recorded 7.6 million job openings (a 4.6% openings rate) and 5.2 million hires (a 3.3% hires rate) — a labor market Indeed Hiring Lab and Glassdoor both describe as "low-hire, low-fire," with Glassdoor's Worklife Trends 2026 research noting the hiring rate sits near a 10-year low.

Applicant volume per job posting

Fewer roles are opening, but the ones that do open still attract heavy applicant traffic. LinkedIn Talent Solutions reports an average of 57 applicants per hire across its platform, with an average paid ad spend of roughly $161 per hire. Indeed Hiring Lab's 2026 US Jobs & Hiring Trends Report found applicant interest varies sharply by sector — food preparation and service postings saw applications rise more than 60% year over year, while pharmacy postings saw applicant interest fall by more than 92%, underscoring how uneven volume is across job categories.

For employers, the practical effect is a funnel that's wide at the top but inconsistent from role to role — which puts more weight on having a fast, reliable way to screen and verify the candidates who do apply, rather than assuming every posting will be swamped.

AI and ATS adoption in hiring

AI is now embedded in most recruiting workflows, but trust hasn't caught up with adoption. A Gartner survey of job applicants found only 26% of candidates trust that AI will evaluate them fairly during hiring. That same research points to a growing integrity problem on the other side of the funnel: Gartner's HR practice predicts that by 2028, one in four candidate profiles worldwide will contain material identity misrepresentation, after a 2Q25 survey of roughly 3,000 candidates found 6% admitted to participating in some form of interview fraud.

Organizations are responding to rising candidate fraud with stronger validation steps, including video and in-person interviews.

That combination — heavier AI use plus rising candidate-side fraud risk — is pushing more employers toward independent verification steps like identity checks and background screening as a counterweight to what AI alone can confirm about a candidate.

Resume screening statistics

Resume screening remains the single most common AI use case in recruiting, largely because it's the highest-volume, most repetitive step in the funnel. With dozens of applicants competing for each hire on average, employers are automating the first pass of review rather than reading every resume manually — which is also why identity and background verification increasingly happen as a distinct, separate step rather than being folded into resume review itself.

• AI-assisted screening is aimed at triage and ranking, not final hiring decisions — most guidance from SHRM and Gartner stresses keeping a human in the loop before rejection.
• Faster top-of-funnel screening raises the stakes on later verification steps, since more candidates reach interview and offer stages more quickly.
• A compressed time-to-fill (39 days median per SHRM) leaves less slack for a slow background check to become the bottleneck between offer and start date.

Candidate ghosting and no-show rates

Ghosting now runs in both directions. Criteria Corp's 2026 research, cited in Pin's Employer Ghosting Index, found 53% of job seekers report being ghosted by an employer within the past year — a three-year high. On the flip side, SHRM's 2025 Talent Trends research found 41% of employers report candidates ghosting them during the interview process, and a Greenhouse survey of 2,500 workers found a 61% post-interview ghosting rate.

For employers, no-shows and stalled pipelines compound the cost of an already slow step. A candidate who has to wait days for a background check to clear is a candidate with more time to accept a competing offer, stop responding, or simply lose interest — which is part of why speeding up screening, not just sourcing, matters for actually closing hires.

Where background checks fit in the hiring funnel

Despite all the change upstream, background screening remains close to universal practice. The Professional Background Screening Association (PBSA) reports that 96% of employers conduct some form of background screening before hiring, and a large majority run criminal history checks as part of that process.

The tension employers face in 2026 is straightforward: hiring is faster and more automated at the top of the funnel, candidates ghost or disappear the longer a process drags on, and candidate-side fraud is a documented, growing risk — yet the background check step has traditionally been one of the slower, more manual parts of the process. Screening that takes a week or more works against every other trend in this report.

What this means for your hiring program

Put together, the 2026 data points to a hiring funnel that moves faster at every other stage — sourcing, screening resumes, scheduling interviews — while candidates have less patience for delay and more incentive to bail on a slow process. A background check that takes days to turn around no longer fits that pace, and it's one of the few remaining steps most employers still treat as a bottleneck rather than a fast, routine part of the offer process.

PreHireBadge was built for that gap: FCRA-compliant pre-employment background checks for $5 per check, no monthly fees, with results typically back within 72 hours. For employers trying to close hires before candidates ghost or accept another offer, a same-week screening turnaround keeps the background check from being the reason a good hire slips away.