Last year was a hard one for a lot of staffing agencies. New data from the 2026 State of Staffing Report, published by StaffingHub and sponsored by Avionté, found that 42% of agencies lost revenue in 2025, and one in five of those declines was steeper than 30%. That’s the kind of number that makes a leadership team nervous heading into budget season.
Here’s the part that should get an operator’s attention, though. The decline wasn’t evenly distributed, and it wasn’t explained by the factors most agencies assume matter most. Agency size didn’t predict who grew and who shrank. Recruiter pay didn’t either. Neither did how fast a team responded to inbound leads, since the whole industry has largely caught up on that front already. What separated the agencies that grew from the ones that shrank came down to three things: how deeply they used AI, how disciplined their day-to-day operations were, and how much they relied on owned sourcing channels instead of paid ones.
We work with staffing agencies and the enterprise programs that run their contingent workforce every day, so this data lines up with a lot of what we see. Here’s what stood out to us, and what it might mean for your team heading into the rest of 2026.
The report breaks results down by vertical, and the contrast between industrial and logistics staffing versus IT staffing is a good reminder that fast isn’t always the same as profitable. Industrial and logistics agencies fill roles in under five days on average, faster than any other vertical in the survey. But 59% of those agencies also report gross margins between 10% and 19%, some of the thinnest in the data. IT staffing runs in the opposite direction. Fill times stretch to 15 to 19 days, roughly three times slower, but 40% of IT agencies report margins above 30%.
Neither approach is wrong. They’re just different businesses with different economics, and it’s worth knowing which game your agency is actually playing before you set growth targets around either metric.
This might be the single most actionable finding in the whole report. Across every growth tier, referrals were cited as the highest-converting source of talent, ahead of job boards, direct sourcing, and internal databases. Thirty-nine percent of agencies named referrals as their number one converting source.
And yet only 11% of agencies have an automated, software-supported referral program. Most are running referrals on a manual, ad hoc basis, or not running a structured program at all. The report calls this the biggest single discipline opportunity in the data, and we’d agree. If your best-converting channel is also the one getting the least operational investment, that’s a gap worth closing before you spend more on paid sourcing.
Related to the referral point: 50% of agencies in the growth tier ran an all-owned top three sourcing mix, meaning no job boards or paid marketplaces in their top three sources at all. Compare that to 27% of flat or slow-growth agencies and 31% of contracting agencies.
Job board reliance told an interesting story too. Only 8% of growth agencies named job boards as their highest-converting source, compared to 36% of flat or slow-growth agencies, a group the report describes as the most job-board-dependent tier in the entire dataset. Contracting agencies actually showed lower job board reliance than the slow-growth middle, which the report suggests may simply reflect that they can’t sustain that level of spend anymore.
The takeaway isn’t that job boards are useless. It’s that the agencies pulling ahead are treating owned channels, referrals, direct sourcing, internal database rediscovery, as the core of their sourcing strategy rather than a supplement to paid channels.
Nearly half of agencies surveyed, 46%, aren’t using AI in any process yet. Among that group, 56% lost revenue in 2025. That contraction rate drops steadily as AI usage deepens: 41% for light adopters, 34% for moderate adopters, and 31% for heavy adopters using AI across five or more processes.
Heavy and moderate AI adopters were also more than twice as likely to land in the growth tier compared to agencies using no AI at all, 39% and 38% respectively versus 17%. The processes most associated with growth were job description generation, reporting and analytics, recruiting chatbots, and candidate qualification.
The report is careful to mention this is a correlation, not proof of causation. Agencies with more resources may simply have more room to invest in AI in the first place. But the pattern holds consistently enough across the dataset that it’s hard to dismiss.
The report scores agencies on seven basic operational habits: weekly KPI dashboard reviews, weekly sales pipeline meetings, weekly recruiting delivery meetings, a named scorecard owner, documented SOPs, a structured intake form for job orders, and active tracking of at least one conversion step.
Growth agencies averaged 4.56 out of seven. Contracting agencies averaged 3.56. That’s a full point of separation on a scale that’s really just asking whether basic operating habits are in place at all. None of these seven habits require new technology or new headcount. They require someone owning them and a team following through consistently.
One more thing worth flagging. Nearly half of agencies, 48%, said they don’t track redeployment rate, and 67% don’t track client NPS. These are exactly the metrics that would tell an agency whether its owned-channel strategy and operational habits are actually working. It’s hard to close a gap you’re not measuring.
Sixty-nine percent of agencies that lost revenue in 2025 are still projecting growth in 2026. That’s an encouraging sign of optimism, but the report is blunt about the fact that the discipline data doesn’t yet back up a turnaround for most of that group. Hope isn’t a strategy on its own.
The agencies most likely to see the growth they’re projecting are the ones treating referrals as a real program instead of an afterthought, building AI into a handful of specific processes rather than avoiding it, tightening up the basic operating habits that cost nothing to implement, and measuring the metrics that actually predict where the business is headed.
None of that requires a bigger team or a bigger budget. It requires deciding which two or three things to fix this quarter and following through.
Source: 2026 State of Staffing Report, StaffingHub.com
SimpleVMS has spent 15+ years helping staffing agencies and the enterprise programs they support run smarter, more transparent contingent workforce programs. If your team is thinking through how technology and process fit into your 2026 growth plan, we’d love to talk. Reach us at 888.255.8918 or simplevms.com.
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