Western Governors University published its second annual Workforce Decoded Report this week, and the headline number is blunt. 60% of employers say AI has made it harder to evaluate a candidate's real skills. Nearly one in five say they cannot reliably confirm whether they are interviewing a human or an AI. The share of employers still figuring out how to evaluate AI skills effectively doubled in a single year, from 16% in 2025 to 32% in 2026.
What is the AI skills verification gap? The AI skills verification gap is the growing distance between how easy AI makes it to produce a polished resume or interview answer, and how hard it has become for employers to confirm that polish reflects real ability. According to WGU's 2026 Workforce Decoded Report, 60% of employers say AI has made real skills harder to evaluate, and that uncertainty is already changing who gets hired. Prentus helps institutions close that gap by giving students a verified, outcomes-backed record employers can actually check.
This is the second year WGU has run this survey, which Centiment conducted on its behalf among 3,128 U.S.-based hiring professionals between June 24 and July 7, 2026. The year-over-year comparisons use the same questions from the 2025 survey of 3,147 hiring professionals, so the swing from 16% to 32% is not noise. Something changed, fast.
The Trust Problem Is Already Shrinking Entry-Level Hiring
The most consequential finding in the report is not the 60% headline number. It is what happens once an employer loses confidence in what they are evaluating. Among employers who say AI has made skills harder to evaluate, 54% report that AI has reduced entry-level hiring at their organization. Among employers who do not report that difficulty, only 20% say the same.
- 60% of employers say AI has made it harder to evaluate candidates' real skills.
- 54% of those employers have reduced entry-level hiring, versus 20% of employers without that concern.
- 32% of employers are still figuring out how to evaluate AI skills effectively, up from 16% in 2025.
- Nearly 1 in 5 employers cite difficulty confirming whether they are interviewing a human or an AI.
That is the real mechanism here. Employers are not deciding AI makes entry-level candidates less valuable. They are losing confidence in the evaluation process itself, and the safest reaction to an unreliable signal is to pull back on volume. The people absorbing that pullback are the graduates who had the least chance to build a track record before AI complicated the hiring funnel in the first place.
For Career Services Teams at Universities
A Trustworthy Signal Beats a Polished Resume
If 60% of employers no longer trust what a resume or interview tells them, a verified record of what a student actually did becomes the differentiator. Prentus gives career services teams a way to build that record for every student, continuously, not just the ones who make an appointment.
Degrees Are Not Losing to Skills. They Are Both Gaining Value.
The report pushes back directly on the idea that employers are choosing skills over degrees. 73% of employers now consider college degrees important, up from 68% in 2025. 91% view certificates as valuable indicators of skill, up from 86%. At the same time, 42% of employers plan to increase their focus on skills over degrees. Those numbers only look contradictory if you assume employers are picking one signal over the other. They are not. When no single signal can be fully trusted on its own, employers want more of them, stacked together, not a replacement for the one they already had.
When employers cannot trust the signals in front of them, opportunity narrows, especially for people trying to get their first foothold in the workforce.
That line from WGU president Scott Pulsipher is the clearest framing of the problem. Employers are not devaluing education or skills. They are asking for proof that either one is real, and right now most institutions are not set up to provide it in a form employers can verify quickly.
Employers Are Choosing to Build Talent, Not Just Buy It
42% of surveyed employers expect to close skills gaps primarily by upskilling existing employees, nearly twice the 22% who plan to rely mainly on new hires. 59% fund leadership development, 53% invest in apprenticeships, internships, or work-based learning, and 39% support tuition assistance or professional credentials. Critical thinking is the single most frequently cited skills gap, followed by effective use of AI tools and verbal communication, none of which show up reliably on a resume an AI helped write.
Practical experience is still the strongest counter-signal employers trust. 38% say internships, apprenticeships, or project-based work are the most effective way for a recent graduate to move from education into employment, more than any credential or test. When asked what workers worried about AI should do, 38% say learn to work alongside it, and 31% say strengthen the uniquely human skills AI cannot fake.
What This Means for Career Services Teams
The institutions that come out ahead here are not the ones that help students write a better AI-assisted resume. They are the ones that can hand an employer something AI cannot fabricate: a verified record of what a student actually did, built over four years, not generated the night before an application is due. In practice, that looks like:
- Documented, verifiable outcomes tied to each student, not a generic transcript or a self-reported resume line.
- Internships and project-based work built into the curriculum, since 38% of employers already rank it as the top signal of readiness.
- Critical thinking and AI fluency taught explicitly, the two gaps employers name most often.
- Coverage across the full student body, so the verified record exists for every graduate, not only the ones who visited the career center.
The institutions already building that kind of defensible outcomes data are the ones with the least to worry about as employer trust in self-reported skills keeps falling. A clear institutional AI policy is part of that foundation, but it has to be paired with a way to actually verify and report on student outcomes at scale.
If you are thinking about how to build that kind of verified outcomes record for your students, we would welcome the conversation.
