AI Interviewers

Can AI Interviews Really Help Find the Right Talent? Let's Dive Deep.

Rachaita H
December 22, 2025
3-5 mins

Summary: This article explores the mechanics, ethics, and real-world results of using AI interviews for job applicant screening. We look at how AI for job interviews can help fix the inherent flaws of traditional hiring and why the future of recruitment is AI-augmented human intelligence that spots talent faster and fairer.

Neelam, your best TA manager, just spent the last 30 days screening nearly 6000 resumes for a single Product Manager role. By the time she could get to shortlisting 50 candidates, 12 of them had already joined their next job. 

Sound familiar? You’re not alone. Every job got 2.7x more applicants in 2025 than it did even until three years ago. Meaning: Recruiters the world over experienced stress and burnout like never before. Except, some. 

Talent teams that adopted AI interviews were able to scale their candidate screening efficiency by 70-80%, and 2x their time-to-hire

How can AI for job interviews help you fix the holes in your current hiring process and find the top 1% talent from the sea of applicants? We’re conducting a deep dive below, and you’re invited to join us. 

Why Traditional Hiring Needs a Fix (and How AI Interviews Can Help)

Summary: This section addresses the inefficiencies and inherent human biases that make traditional hiring methods unsustainable for high-volume, high-quality talent acquisition.

Speak to any TA team today, and they’ll sound the same concerns —- applicant overload, curated resumes, inflating time-to-hire and recruiter burnout. The result? Quality candidates slip through the cracks. 

Human-only hiring processes are rapidly failing to keep up with today’s recruitment needs. Here’s where traditional hiring funnels are experiencing major cracks:

  • Unconscious bias when judging names, education, accents
  • Resume inflation, leading to false positives
  • Slow response cycles, where top talent drops off
  • Low signal screening, where resumes tell you very little about behavior or role-fit and candidates by-pass first round interviews by relying on AI generated responses

In fact, hiring goes wrong within the first 10 minutes of screening in a traditional recruitment set-up. While a resume tells a recruiter about a candidate’s work experience, it says little about their communication skills, logical reasoning, or behavioral profile. Even for hard skill screening, ATS fails to scan beyond keywords and may end up bulk-rejecting relevant profiles due to its limited capabilities

Visualization of hiring funnel with candidates dropping off unexpectedly due to recruiter bias, slow response time and resume fatigue

Moreover, inherent human biases muddy the process even further. Read a real-life story illustrating how here. Take into account all the time wasted in scheduling and re-scheduling first round interviews, and you’ll realise just how badly the current hiring system is broken. Thankfully, this is where AI for job interviews can come to your rescue. 

AI video interviews can standardize the early stages of candidate evaluation while processing mounting applicant volume at speed.

How AI Video Interviews Can Fix Traditional Hiring Funnels

Summary: This section discusses how AI for job interviews can plug the gap left by traditional hiring workflows by replacing the overreliance on subjective signals with a standardised evaluation criteria.

Image showing how finding top talent today results from recruiter-AI collaboration

Unlike traditional first-round screening methods such as resume screening or phone interviews, AI video interviews can help assess a candidate faster and with greater accuracy. It can help you tighten the lags in your current hiring process by:

  • Automating Screening: Resume screening with Semantic AI that identifies skill in a resume beyond keywords enables optimal efficiency in candidate shortlisting. 
  • Reducing Bias: By standardizing candidate evaluation with a pre-defined guideline, AI can help minimize unconscious recruiter biases related to gender, ethnicity, or appearance that often mar their judgement during interviews.
  • Enabling Cheating Detection: AI interview tools often have built-in cheating detection capabilities that flag candidate malpractices during interviews that a human recruiter would struggle to catch. 
  • Enhancing Candidate Experience: With AI interviews, candidates receive instant updates on their job applications and are saved from having to wait weeks waiting for feedback.

With Fabric AI video interviews, you can also assess a candidate’s communication, technical competency and get a comprehensive overview of their overall skillset. Want to see how? Schedule your live demo here

How to Know if Your Current Hiring Process Needs AI Interview Optimisation

Summary: This section provides a checklist for assessing whether your current recruitment workflow could benefit from AI optimisation.

Before you decide whether to hand off part of your recruitment lifecycle to the algorithms, let’s understand if you could use its help. If you find more than 3 out of the 6 statements below to be true, we suggest you waste no more time!

  • Is your talent acquisition team complaining of increasing workload?
  • Are candidates frequently dropping off due to scheduling hiccups?
  • Does your current resume screening only provide surface-level information?
  • Are your hiring managers complaining about dipping quality in shortlisted candidates?
  • Have you second-guessed your hiring decisions recently?
  • Have you been struggling to meet team diversity goals?

Think you might need to integrate AI interviews into your hiring process after all? Don’t go into the market blind, test out the look and feel of a variety of AI job interviews on our platform. Experience your first AI video interview here now!

The ROI of Using AI for Job Interviews

Summary: This section offers a persuasive argument for integrating AI interview platforms into hiring processes with a clear breakdown of its benefits for talent acquisition teams, staffing agencies & start-up founders. 

Before-After comparison image of recruiters using AI interviews

Organisations who’ve already implemented AI video interviews into their hiring processes have reported remarkable results, including but not limited to:

  • Faster Hiring Cycles: Up to 50% reduction in time-to-hire.
  • Improved Candidate Quality: Enhanced skill-matching and cultural fit.
  • Cost Savings: Significant decrease in cost-per-hire.
  • Enhanced Diversity: Increase in candidates from different backgrounds. 

Are AI interviews really worth it? We’ll let you decide. But here’s what one of our earliest clients told us -

‘‘I got back 15h/week by automating tech hiring for my company with Fabric AI interviews.’’

                                                                                                                              -  Harry Gupta, Founder, QuickReply.ai

Need more proof? Read the full case study here

Frequently Asked Questions

Why should I use Fabric?

You should use Fabric because your best candidates find other opportunities in the time you reach their applications. Fabric ensures that you complete your round 1 interviews within hours of an application, while giving every candidate a fair and personalized chance at the job.

Can an AI really tell whether a candidate is a good fit for the job?

By asking smart questions, cross questions, and having in-depth two conversations, Fabric helps you find the top 10% candidates whose skills and experience is a good fit for your job. The recruiters and the interview panels then focus on only the best candidates to hire the best one amongst them.

How does Fabric detect cheating in its interviews?

Fabric takes more than 20 signals from a candidate's answer to determine if they are using an AI to answer questions. Fabric does not rely on obtrusive methods like gaze detection or app download for this purpose.

How does Fabric deal with bias in hiring?

Fabric does not evaluate candidates based on their appearance, tone of voice, facial experience, manner of speaking, etc. A candidate's evaluation is also not impacted by their race, gender, age, religion, or personal beliefs. Fabric primarily looks at candidate's knowledge and skills in the relevant subject matter. Preventing bias is hiring is one of our core values, and we routinely run human led evals to detect biases in our hiring reports.

What do candidates think about being interviewed by an AI?

Candidates love Fabric's interviews as they are conversational, available 24/7, and helps candidates complete round 1 interviews immediately.

Can candidates ask questions in a Fabric interview?

Absolutely. Fabric can help answer candidate questions related to benefits, company culture, projects, team, growth path, etc.

Can I use Fabric for both tech and non-tech jobs?

Yes! Fabric is domain agnostic and works for all job roles

How much time will it take to setup Fabric for my company?

Less than 2 minutes. All you need is a job description, and Fabric will automatically create the first draft of your resume screening and AI interview agents. You can then customize these agents if required and go live.

Try Fabric for one of your job posts