5 Intriguing Uses of AI in Recruitment

Dominating the recruitment process is one example of the fast-paced advancement of Artificial Intelligence.

AI is being widely used in recruiting software to optimise the recruitment process.

It has its roots right from outsourcing and attracting candidates to pre-selecting, scheduling interviews, and even analysing the skills on a resume.

The Automatic Tracking System is one of the most commonly used AI products in the recruitment industry.

AI is proving to be a boon for the companies that hire in bulk. With the help of AI, it has become easier to keep track of hundreds of candidates and analyse the progress at each stage.

There are various reasons why AI is being used in the recruitment process, a few of them are:

  • It reduces the chances of favouritism or biases
  • To reduce the manual efforts at the early stages of the recruitment process
  • Helps to improve the productivity of the HR department
  • Aids in the selection of candidates from diverse backgrounds

Following are the 5 intriguing uses of AI in the recruitment process for 2021.

1. Candidate Sourcing Automation

From a vast pool of potential candidates, sourcing the right candidates can be a strenuous and time-consuming task if done manually.

With so many social media platforms and job portals, it has become easier to find potential candidates but engaging with each one of them is non-practical.

AI has enabled the automation of sourcing to a great extent. It has given an opportunity to the recruiters to analyse millions of profiles of potential candidates. It analyses the skills and experiences of the candidates from various platforms and reaches out to them regarding the same.

There are many candidate sourcing tools in the market that are helping out the companies with the recruitment of hard-to-find talent. The fusion of AI software and humans has leveraged the sourcing of new talent.

The recruitment process is significantly employing AI-powered assistants also known as Chatbots to efficiently engage the pipelined candidates by sending them personalised messages at the same time.

One of the most prevalent examples of these is chatbots.

  • Chatbots have become one of the initial ways of engaging visitors on the website
  • It has reduced the time of hiring by providing automated responses to the candidates
  • It has led to an increase in the number of candidates who complete the entire application process

2. Candidate Rediscovery

In today’s job market, with so many job portals and hundreds of profiles in the database, those certain candidates that might be perfect for the job get lost in the heap.

These potentially interesting candidates are right there in front of the recruiters but they are unable to see or identify them. This is not only a waste of resources but also of time and money

Instead of getting the fresh lot interested in the job profile, the candidate rediscovery software helps you to connect with the candidates that are already in the business or have shown interest in the company before.

In this process, the software screens the data of the prior candidates and matches them to a current open position using the ATS database.

2.1 Benefits of Candidate Rediscovery

There are various benefits of rediscovering talent from the existing database:

  • It increases the efficiency of the recruitment process by short-listing candidates through automation
  • Reduces the time spent on the recruiting process also making sure that the recruiter doesn’t miss out on some of the best candidates available
  • Increases the recruiting competitiveness

3. Candidate Matching & Ranking

This is a high-quality screening of candidates for a more specific and relevant search. This helps the recruiter to focus on the quality of the new talent.

In this AI software, the system analyses the job requirements and sources candidates from various job boards that match the criteria. Not only does it match the desired skills with that of candidates’ but also evaluates the probability of a candidate accepting that position. And hence it provides a ranked list of candidates based on this analysis.

This detailed matching and ranking system not only analyses skills but also job titles, education, industries covered, experiences, certificates, licenses, and more within the same window. This gives the recruiters a comprehensive picture of the candidate.

4. Hiring Remote Workers

After the pandemic, the working scenario has largely changed and shifted more towards working remotely. There can be various other reasons for hiring candidates from remote locations like non-availability of suitable candidates in that business area or the company deals with foreign clients and wants a candidate from the same background, etc.

Hiring remote workers is a challenge in itself because the entire hiring process is remote too. And this is when AI-powered software comes into play.

The recruiters deploy AI-powered pre-assessment tools to evaluate a candidate’s personality, skills, and organisational fit.

The use of AI for hiring remote workers has diversified the pool of new candidates which remains limited otherwise. This helps them in increasing their productivity, brand image and enhancing the workforce’s skills and talents from diverse experiences.

5. Video Interview Tracker & Facial Expression Analysis

Applications like Zoom, Google Meet among various other have become an integrated part of the working culture of many industries. Video interviews are rapidly becoming prevalent, especially when the industries are hiring people from different parts of the world.

It has become more feasible for the candidates as well as recruiters to save a lot of their time and energy. AI developments are being evolved by taking this thing into consideration and driving it a little further.

The video interview tracker is embedded with advanced machine learning algorithms to verify the candidates’ video interviews and analyse their behaviour.

The video interview tracker can detect foul behaviour such as:

  • If a candidate is looking away from the screen for a long time indicates the use of cheat methods
  • Any noise on the recording indicates the presence of another person to help the candidate with the interview

Along with this, the interviewer might use a dedicated AI-backed facial expression analyser in both video and in-person interviews. It helps to capture the mood of the candidate and analyse their personality.


The AI-supported software has definitely optimised the entire recruitment process. It has helped the recruiters to expand their reach and enrich their workforce with diversified talents and experiences.

But with a wide scope of improvements, the AI-laced software is not being completely relied on. Humans still have a huge role and important say in the hiring process.

The AI technology in the recruitment process will become even more prominent and accurate in the near future. So, it is important to stay updated with the advancements through the internet or any other source to provide you a basic understanding of the current scenario of the technology being used in the hiring process.