The May Jobs Report Says Hiring Got Easier. Your Pipeline Says Something Else.

Monthly Hiring Insights | May 2026

The May jobs report landed well above expectations. Employers added 172,000 jobs, unemployment held steady at 4.3 percent, and job openings jumped to 7.6 million, the highest level since November 2024. If you read the headline and felt a little relief, you're not alone. More openings nationally should mean more candidates in your pipeline, more applications in your inbox, and an easier month of hiring.

That is not what the data underneath the headline is showing.

Job openings rose by 731,000 in April, but the quits rate fell to 1.9 percent, the lowest in years, and the hires rate dropped to 3.2 percent. Employers are posting more roles. They are not filling them any faster. Vacancies are sitting open longer, which means every open seat in your business is now costing you more time before it gets filled, not less.

Here is where most operators get it wrong this month. They see "openings up" and assume the candidate pool got better. It didn't. It got bigger. Across the 28 active roles we ran in May, 2,452 applications came through. Only 1,169 of those, 48 percent, were actually qualified for the role they applied to. The other half wasn't a pool of candidates. It was noise that someone on your team had to read, sort, and reject anyway.

More applicants is not the same thing as a better hire. It's a bigger haystack with the same number of needles. The labor market isn't telling you hiring got easier. It's telling you the filter has to do more work, and it has to do that work earlier, before a resume ever lands on someone's desk.

This is exactly the problem the TA-12 was built to solve. Of the 1,169 qualified applicants in May, 292 were invited to complete the assessment. 217 finished it, a 74 percent completion rate. Those 217 candidates were scored across all twelve traits, eight behavioral and four cognitive, against the ideal profile for the role they were being considered for. 74 scored low. 67 scored medium. 76 scored high.

That means more than a third of the candidates who completed the assessment landed in the high band, before anyone on the team spent an hour in an interview. The filtering happened on paper, with data, instead of in a room, on instinct. From there, 41 high-fit candidates were scheduled for interviews, 38 completed them, and 13 were hired.

Thirteen hires out of 2,452 applicants. That's a yield of about half a percent by volume. By design, it's the right half a percent. The market sent more applicants. The system decided which ones were worth a founder's time.

If your hiring process is still built around resumes and gut checks, a bigger applicant pool isn't relief. It's more hours spent sorting noise, with the same odds of landing on the wrong hire at the end of it. The fix isn't more candidates. It's a filter that works before the interview, not during it.