Skills-based hiring has become the dominant narrative in talent acquisition. Companies announce they're dropping degree requirements. LinkedIn profiles highlight skills over credentials. The message is clear: what you can do matters more than where you went to school.
The data tells a different story.
Surveys suggest adoption is widespread. TestGorilla's 2025 report found 85% of employers say they use skills-based hiring, up from 73% in 2023. Other surveys put the number lower, between 60% and 70%, but the trend is consistent: most companies say they're doing this.
What happens when you look at actual hiring data instead of survey responses? That's where the gap appears.
The Research That Reveals the Gap
Joint research from Harvard Business School and the Burning Glass Institute, published in February 2024, examined what actually happened after companies announced skills-based hiring initiatives. The study analyzed 316 million online job postings and cross-referenced them against the career histories of over 65 million U.S. workers.
The findings were sobering.
While companies that dropped degree requirements did increase non-degreed hiring by about 3.5 percentage points on average, only 3.6% of roles actually had requirements dropped during the study period. The net effect across all hiring: an incremental change of just 0.14 percentage points. The researchers put it starkly: the increased opportunity promised by skills-based hiring bore out in fewer than 1 in 700 hires.
To be clear, many non-degreed workers were already being hired before these reforms. The "1 in 700" figure represents the additional non-degreed hires created by the policy changes, not the total share of non-degreed employees. But even that framing underscores how little has actually changed despite the announcements.
Why Skills-Based Hiring Stalls
The Harvard/Burning Glass research categorized companies into three groups based on what actually happened after they announced skills-based hiring.
Leaders (37% of firms) made substantive changes and increased non-degreed hiring by nearly 20%. Companies like Koch Industries, Walmart, Apple, General Motors, and Target fell into this category. At these firms, non-degreed workers showed a 10 percentage point higher two-year retention rate and received an average 25% salary increase compared to their previous roles.
In Name Only (45% of firms) removed degree requirements from postings but showed little change in actual hiring patterns. Some actually increased the share of degreed hires after the announcement. Bank of America, Amazon, Oracle, and Lockheed Martin were among those in this category.
Backsliders (18% of firms) made initial progress but reverted to previous patterns. Nike, Uber, HSBC, and Delta Air Lines fell here.
The paper's conclusion was direct: simply dropping stated requirements seldom opens jobs to those who don't have a college degree.
The Implementation Problem
A follow-up analysis in Harvard Business Review by Fuller and Sigelman identified what separates Leaders from the rest. The common failure: companies changed their job postings but didn't change anything else. Sourcing strategies, interview processes, manager behavior, and evaluation frameworks all stayed the same.
The result was policy change without behavioral change.
Recruiters continued sourcing from the same schools and networks. Hiring managers continued evaluating candidates through the same credential-focused lens. And the candidates who got hired looked remarkably similar to the candidates who got hired before the announcement.
The researchers found that successful implementers took different approaches. Some reverse-engineered their best performers to identify which skills actually predicted success. Walmart redefined job requirements by mapping specific skills to specific roles. Accenture redesigned onboarding to support non-traditionally credentialed hires. Cisco built experience with skills-based approaches through internal promotion before applying them to external hiring.
The common thread: skills-based hiring requires systematic change, not just messaging change.
The Pre-Screening Opportunity
Pre-screen interviews represent one of the highest-leverage intervention points for skills-based hiring.
Traditional screening relies heavily on resume parsing, which inherently favors credential signals. Candidates from prestigious schools or well-known companies get through; others don't, regardless of actual capability.
Conversational pre-screening can evaluate candidates on what they actually know and can do, rather than where they learned it. When candidates describe how they've solved problems, led projects, or developed expertise, the quality of those answers matters more than the institutional names on their resume.
This doesn't eliminate the need for credentials entirely. Some roles genuinely require specific certifications or training. But it shifts the evaluation from "does this resume look right?" to "can this person do this job?"
The Reference Check Opportunity
Reference checks present another opportunity to validate skills over credentials.
Traditional reference checks often focus on confirming what's on the resume, which reinforces credential-based evaluation. Did they actually work there? Did they have that title?
Skills-focused reference conversations ask different questions: What specific problems did they solve? How did they handle challenges? What capabilities did they demonstrate? What would you trust them to do independently?
These questions reveal whether candidates have the skills they claim, regardless of how they acquired them. A self-taught developer who built production systems demonstrates capability through reference feedback, even without a CS degree.
The Virvell Approach
We built Virvell to enable skills-based evaluation at scale.
Pre-screen interviews that assess capability. Our AI asks candidates to describe their experience in their own words: how they've approached problems, what they've built, what challenges they've navigated. This reveals capability regardless of credential.
Reference conversations that validate skills. Our voice AI asks references about specific capabilities and accomplishments, not just title verification. What could this person do? What would you trust them with? Where did they excel?
Cross-verification that catches discrepancies. When a candidate claims expertise and references confirm it, you have high confidence. When claims and verification don't align, you know where to investigate.
No credential filtering. Our system doesn't score or rank candidates. It collects information about what they've done and what references observed. Your team evaluates whether that information indicates the skills you need.
This approach doesn't guarantee skills-based hiring. That requires organizational commitment beyond any single tool. But it removes one of the barriers: screening infrastructure that defaults to credential signals.
The Implementation Reality
Skills-based hiring isn't a policy you announce. It's a capability you build.
The Harvard/Burning Glass research makes this clear. The 45% of companies in the "In Name Only" category changed their postings but not their systems. The 37% that succeeded changed how they source, evaluate, onboard, and measure.
That infrastructure includes sourcing strategies that reach non-traditional candidates. Assessment tools that evaluate skills directly. Reference processes that validate capability rather than credentials. Manager training that shifts evaluation habits. And measurement systems that track whether it's actually working.
The organizations that build this infrastructure gain access to talent pools their competitors ignore. The talent shortage that dominates headlines is partly a credentialing bottleneck: qualified people excluded by proxy requirements that don't predict job performance.
Skills-based hiring done right doesn't lower the bar. It removes artificial barriers that prevent capable people from demonstrating they can clear it.
See how skills-based evaluation works in practice
Virvell automates pre-screen interviews, reference checks, and background verification in one governed platform. Our AI evaluates what candidates can do, not just where they've been.
Book a DemoVirvell automates pre-screen interviews, reference checks, and background verification in one governed platform. Our AI evaluates what candidates can do, not just where they've been. Learn more at virvell.ai.