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Before you invest: Common AI interviewer mistakes to spot early on

The rise of AI in the hiring process has made a huge impact in the way human resource directors and industry recruiters find and vet new talent.

Yet, as with any quickly expanding innovation, there are often pitfalls that need to be considered and avoided.

While investing in AI interviewing software can make a major impact on your organization’s hiring process, it’s important to look out for certain AI interview mistakes that can undermine your results.

Key takeaways

While AI is now being widely used to improve a wide range of hiring activities, understanding how it can work for and against you in the interview process is critical.

Let’s look at the benefits and potential pitfalls of an AI interviewing system, as well as some practical tips for finding the platform that will work best for your hiring needs.

The benefits of AI interviewing software

While artificial intelligence can’t replace the human aspect of interviewing, strong AI interviewing agents can be pivotal in identifying top talent faster.

Here’s why:

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#1: More objective evaluations:

AI tools apply structured rubrics to a candidate's responses, which reduces bias tied to background or appearance.

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#2: Better candidate experience:

AI interviews can provide a higher level of consistency than human-led interviews, which can vary across interviewers or even factors like time of day. This creates a smoother process that strengthens an employer's brand and keeps candidates engaged.

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#3: Faster hiring:

AI interviews can cut down on the need for time-consuming processes, such as resume reviews, scheduling interviews, and repetitive screenings. This shortens time-to-hire, lowers costs, and lets HR teams focus on strategy instead of administrative tasks.

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#4: Smarter insights:

A strong AI platform will analyze a candidate's communication, problem-solving, and adaptability. It will generate follow-up questions and benchmark candidates against past successful hires, giving recruiters deeper data to make better choices.

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#5: Scalable hiring:

AI systems handle thousands of interviews at once, making them ideal for high-volume recruitment. Combined with human review for soft skills and team fit, they deliver speed without losing nuance.

Smarter Screening, Better Decisions

Use an AI Interviewer to streamline early-stage screening and evaluate candidates consistently.

Potential perils of AI interviewing

While AI hiring systems can parse resumes, analyze job interviews, and even evaluate soft skills, they are not fool-proof.

If the system you choose is not carefully vetted, it may lead to poor hiring decisions and weaken the overall candidate experience.

Here are some possible downsides to an AI interviewing platform and how to avoid them:

Over-reliance on keyword matching

One of the most common interview mistakes in AI interviews is excessive dependence on keyword matching.

Many AI systems scan resumes and cover letters for specific terms tied to the job description or job requirements.

While this can help filter high volumes of applicants, it risks overlooking qualified candidates who may use different language to describe their skills. For example, a candidate with strong problem-solving abilities might not use the exact keywords the AI system expects.

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Practical tip:

Ensure your AI tools are calibrated to recognize synonyms, context, and broader skills rather than rigid keyword lists. Always include human recruiters in the loop to validate promising profiles.

Ignoring soft skills

While technical skills are easier to measure, qualities like teamwork, adaptability, and communication are harder for an AI system to assess.

AI interviews may try to gather certain insights into a person’s soft skill strengths, but human judgment is often needed to get a true sense of how a candidate collaborates, responds under pressure, and fits into a company’s culture.

The best hiring process blends AI efficiency with human oversight, ensuring that soft skills and team fit are evaluated alongside technical expertise.

Practical tip:

After the initial interviewing process is done with an AI interviewer, move your strongest candidates to the next step with a human recruiter.

Smarter AI Interviewer Insights

Structured reports and carefully tailored follow-up questions provide deeper insights and reveal real candidate skills.

Over-standardization of the interview process

Consistency is a strength of AI in hiring, but over-standardization can be problematic in certain industries or positions.

Asking the same questions to every applicant may ignore specific needs you have for specific roles.

Practical tip:

Look for AI interview platforms that are customizable and can be tailored to your organization’s unique needs. The best solutions allow you to adjust evaluation criteria, question formats, and feedback structures so they align with your specific job descriptions and job requirements.

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A man wearing glasses sits at a desk with a computer and a phone, focused on his work.

Lack of strong customer support and/or onboarding help

Even for the most skilled HR team, learning to incorporate AI interviewing tools into the hiring process can have its challenges.

Without clear onboarding guidance or responsive customer support, hiring managers and their teams may struggle to configure the AI system, map competencies to the right evaluation criteria, or integrate the platform into existing workflows.

This can lead to interview mistakes, wasted time, and even poor hiring decisions.

Practical tip:

Choose an AI interviewing provider that offers robust onboarding and ongoing customer support. The best platforms don’t just deliver technology — they partner with your HR team to ensure smooth adoption and provide guidance when challenges arise.

Fair AI Interviewer Experience

Deliver bias-reduced, professional interviews for every applicant, 24/7.

Invest in AI wisely with CodeSignal

The integration of AI interviews into the hiring process marks a turning point in recruitment and can lead to better hiring outcomes across a wide variety of industries.

But before you invest, it’s essential to understand what you need and what you’re getting from the software you choose.

At CodeSignal, we build AI interviewing solutions that are customizable, fair, and designed to scale with your organization.

Here are just a few of the strengths of the CodeSignal platform:

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Calibrate to your reviewers: Our team of IO Psychologists compare the AI’s ratings with your hiring team’s ratings and fine‑tune the system until results align.

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Build for your roles: Interview questions and follow‑ups are tailored to the skills you hire for: Sales, Support, Engineering, and more.

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Keep decisions human: You receive a clear skills report and transcript, with no AI black box, and your team decides who moves forward.

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Support candidates: Every AI agent is available 24/7, offering an instant, always-on way for your candidates to troubleshoot their interviews.

By focusing on these areas of need, CodeSignal empowers HR leaders and recruiters to hire with confidence and avoid common AI interview mistakes.

Our expertly-designed platform gives you the control and confidence you need at every stage of the AI interview process.

When you’re ready to transform your interview process and achieve stronger long‑term outcomes, let’s talk.

Tigran Sloyan

Author, Co-Founder, CEO @ CodeSignal, Contributor @ Forbes and Fast Company

CodeSignal is how the world discovers and develops the skills that will shape the future. Our skills platform empowers you to go beyond skills gaps with hiring and AI-powered learning tools that help you and your team cultivate the skills needed to level up.