Generative AI is influencing hiring, from writing job descriptions to interviewing job candidates. What do AI job interviews mean for skills-based hiring?
We think a lot about artificial intelligence in the workplace these days. On one hand, we’re big fans of technology that streamlines and automates repetitive processes — especially when it frees people to focus on the strategic, creative, and human parts of work. On the other hand, we’re watching the fast-paced adoption of AI with a critical eye. What happens when entry-level roles — the traditional starting points for skill-building — get hollowed out by automation? How will that shape the future of the workforce?
In the middle, we’re curious. Curious about what’s working, what’s not, and what’s next.
So, when we came across TestGorilla’s State of Skills-Based Hiring 2025 report, we paused to reflect. It’s full of fascinating stats about how generative AI is influencing hiring — and we’re not just talking about resume screening. More and more companies are using AI to interview job candidates.
That raised an important question for us: What do AI job interviews mean for skills-based hiring?
Where Is AI in Today’s Hiring Process?
According to TestGorilla, 65% of employers now use AI in hiring, and 94% say it has improved the process. AI in hiring is becoming standard.
Early AI-supported HR tools like applicant tracking systems (ATS) and pre-employment screening tests have been around for years. What’s new is how sophisticated and pervasive AI tools have become. Today’s generative AI is used to write job descriptions, source candidates, screen resumes, and, increasingly, conduct initial interviews.
That’s right. One in five U.S. employers now use AI-led interviews, according to TestGorilla. These tools are officially moving from the margins to the mainstream. As Wouter Durville, TestGorilla CEO, put it in a recent Computerworld article, “That’s a clear sign these tools are moving quickly from the fringes to the mainstream.”
But the rise of AI in interviews is just one thread in a larger shift.
It’s Not Just About AI Interviews
As of now, AI-led interviews are still largely used as a screening tool, not a final decision-maker. Their real-time, conversational assessments with candidates may feel decisive. But what they reveal and how companies use them is evolving fast.
Some AI-powered hiring tools analyze facial expressions, tone of voice, and word choice. Others score candidates based on alignment with company values or communication style.
The goal? To identify both technical and soft skills in a consistent, data-driven way.
And that’s where it gets interesting.
We’re seeing a persistent interest in holistic hiring — where employers consider not just experience or degrees, but skills, personality, and cultural fit. That shift reflects a deeper change in how organizations define a “qualified” candidate.
As our CEO Tom Grobick put it, “It’s not just about AI interviews — it’s about how employers are using AI to learn about candidate skills more holistically.”
Skills-Based Hiring Is Here to Stay
Let’s talk about the broader movement toward skills-based hiring. It’s been around for a while, but there are recent signs it’s gaining real traction. The TestGorilla report reveals:
- 57% of U.S. employers have dropped college degree requirements.
- 74% now use skills tests to evaluate candidates.
- 66% say evaluating candidates holistically improves hiring outcomes.
These numbers tell a clear story. Employers are placing less emphasis on traditional credentials and more on what people can actually do.
In a job market reshaped by automation, AI, and remote work, the demand for human strengths is growing. Communication, creativity, leadership, problem-solving, and collaboration are now top hiring priorities — even in tech-heavy roles. That’s especially true when AI tools are handling more of the routine, predictable tasks.
And the companies that are adopting AI in hiring? They’re often the same ones investing in skills assessments and workforce development programs. They’re not trying to replace human talent; they’re trying to get better at recognizing and growing it.
Implications for Employers and Talent Leaders
If you’re a business or HR leader, AI can absolutely help you hire smarter. But only if you use it wisely.
The Benefits
- Speed: AI helps screen high volumes of applicants quickly.
- Consistency: Algorithms apply the same criteria across the board.
- Reach: With skills-based matching, you may discover talent you’d otherwise have overlooked.
The Risks
- Overreliance: Don’t let AI become the only “voice” in hiring decisions.
- Bias creep: AI is only as fair as the data it’s trained on.
- Missed nuance: Algorithms may struggle to interpret context, humor, or subtle cues.
Best Practices
- Use AI tools to supplement, not replace human decision-making.
- Pair AI interviews with skills-based assessments — real-world tasks that show what a candidate can actually do.
- Keep monitoring skills throughout the employee lifecycle, so you know where to address skills gaps across your workforce.
Frequently Asked Questions (FAQ)
Q1: What are the top benefits of AI job interviews?
AI-led interviews can streamline early-stage screening, save time, and apply consistent criteria across a large candidate pool. They may also surface soft skills and patterns that are harder to catch in a traditional resume review.
Q2: What are the biggest risks of AI job interviews?
Bias is still a concern, especially if the AI is trained on unbalanced or narrow data sets. There’s also the risk of over-automation. Removing too much of the human element can lead to poor hiring decisions or missed opportunities to connect with strong candidates.
Q3: What’s next with the AI hiring shift?
AI job interviews are just the beginning. AI is starting to reshape training and credentialing as well. Imagine enrolling in a fully AI-driven learning track tailored to a specific profession — no professors, just a personalized, skills-first path to readiness. It sounds futuristic, but that’s the trajectory.
Key Takeaway
We’ll give the final word to TestGorilla’s CEO, Wouter Durville: “The best hiring strategies now combine objective data with a holistic view of the candidate — their skills, values, and cultural alignment.”
We couldn’t agree more. AI is a powerful tool, but the best hiring decisions come from blending tech-powered efficiency with human insight. For business and HR leaders, the opportunity is clear: embrace automation, and stay grounded in skills, potential, and sound judgment. The future of hiring starts with putting skills front and center.
The true potential of skills-based hiring lies in the transformative change that follows. If you’re ready to align your hiring with your company’s goals and priorities, download Avilar’s Competency Management Toolkit to get started. Or contact us to see if Avilar’s WebMentor Skills™ can help you drive your next steps.
RELATED RESOURCES
Benefits of Skills-Based Hiring
College Degrees vs. Skills and Competencies: Which is More Important?
Build Your Skills-Based Workforce Now for Future Business Agility
7 Moves for Becoming a Skills-Based Organization to Gain an Edge
The Key to an Effective Skills-Based Organization? Competency Management
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