As a recruiter, your biggest challenge is finding applicants who can contribute something new and valuable to a company. A recent study shows that it takes one recruiter an average of 15 hours per week to find a suitable candidate for one role. But with AI in job recruitment that job gets a lot easier.

Fortunately, AI can help you a lot. It can do everything from finding job candidates to helping them start their new job. So, you can use AI to make hiring people much easier.

In this article, I take a look at how you can integrate AI effectively to speed up the hiring process. Here are 7 ways to take advantage of AI in hiring.

AI in job recruitment.
robot hand selecting a person symbol out of many in front of a blue background – 3d illustration

7 Effective Ways to Use Al in Job Recruitment Summary

  1. Improve Job Description Writing 
  2. Speed Up the Recruitment Process 
  3. Reduce Hiring Costs 
  4. Assess Team Strength and Identify Talent Gaps 
  5. Perform Background Checks 
  6. Improve Candidate Recommendations 
  7. Create an Engaging Candidate Experience 

Now, let’s take a closer look at how you can put them into action.

1. Improve Job Description Writing 

Have you ever wondered if the words we choose in job descriptions could send the wrong impression to potential candidates?

Even if you try to be careful, it’s easy to make mistakes with words. Tools using AI can help you write job ads better. That is because they bring in great candidates to help your team grow.

There are various AI-driven tools, like Ongig’s Text Analyzer, to help with the process. Along with Text Analyzer, there are other job description tools you might find useful too.

You can use tools like Text Analyzer to advertise jobs, knowing that you are not using bias against any group of people based on race, gender, or other factors (disability, educational background, etc.). 

The software checks for words that might make some people feel left out in your job ads. It shows these words and any others that could be offensive based on race, culture, gender, or religion. Then, it suggests better words to make the job descriptions more inclusive.

And, it also offers features like a readability rating for your job description and marks elements that could turn people off, like lengthy lists of job requirements, really long sentences, and complex terms or business jargon. 

AI can tell you if your job ad needs to be organized better. If it doesn’t mention things like salary, benefits, or how much you care about diversity, people might not want to apply.

Ongig’s Text Analyzer software also helps you build unique job description templates. Using these pre-made templates, you can quickly publish jobs at scale.

2. Speed Up the Process with AI in Job Recruitment

Using automation and AI is really important because there are a lot of people applying for jobs. And recruiters are also trying to find more good candidates. So, even after people apply, AI can help find more potential candidates.

Instead of looking for unimportant things to reject candidates, AI helps find good candidates. This means there are more people to choose from when hiring.

All this talent-capturing AI tech means a recruiter would spend up to 23 hours on a single hire using the traditional shortlisting process and pre-employment screening. But with an AI screening tool, you can process thousands of applications in a matter of seconds, highlighting the most promising candidates. 

3. Reduce Hiring Costs with AI in job Recruitment

The typical expense of a new employee is $4,683. Screening and interviews consume an excessive amount of time, with pre-screening alone costing $40 or more per applicant. 

A way to counter this is by using AI to cut down on the expense and duration of the hiring process.

AI recruitment software conducts fast and accurate assessments of applicants, which highlights those most qualified. 

In fact, early research shows that businesses that leverage AI in the recruitment process enjoy a 30% decrease in cost-per-hire. Teams can also save money in the long run by incorporating AI tools into their workflow. 

A 2016 CareerBuilder study found 75% of businesses admitted to having made a bad hire at some point. Making a bad hire can cost as much as two and a half times the wage. 

AI can help save money by making sure the wrong person isn’t hired. This is especially important when people lie on resumes or if hiring decisions are influenced by unfair feelings.

Another benefit of using AI in hiring is the return on investment (ROI) when considering the long-term variables that indicate a candidate’s success. 

PwC notes that an employee’s value to an organization extends beyond their salary, hiring, and training to include other factors, like the skills they acquire on the job, their ability to learn, and social contributions.

4. Assess Team Strength and Identify Talent Gaps

Human resource departments at various companies are increasingly emphasizing teams and filling in skill gaps. 

Recruiters can use AI to learn more about the personalities and motivations of their team members. They do this by using tests and looking at data. This also helps them understand how each person’s differences can affect how the team works together.

AI makes this process significantly more effective and faster than any alternative solution HR experts might use. 

5. Perform Background Checks with AI in Job Recruitment

Checking the background of job applicants is important, although it takes time. So, because of this, 92% of businesses run background checks to reduce their risks.

AI makes checking backgrounds faster and easier than doing it by hand. It’s better and more efficient. Companies can be sure the checks are private and fair because of AI technology.

6. Improve Candidate Recommendations

AI recruiting is really useful because it can go through lots of information about job candidates. This info is kept in a system called an applicant tracking system (ATS). The AI can then show important details about the people you might hire.

AI can now swiftly evaluate individuals’ capabilities, credentials, and qualities and match them with the demands of hard-to-fill roles. 

The system (ATS) uses AI to look at resumes and judge if someone is good for the job. This also makes it much easier for HR specialists and recruiters to do their job.

7. Create an Engaging Candidate Experience

AI in ATS systems gives personal advice to candidates, telling them what skills they need. Also, candidates can use this advice for their future job searches.

Plus, improved transparency and quick communication with automated tools deliver an improved hiring experience. 

Right now, recruiters have to look through a lot of resumes for each job. And today’s best candidates expect better communication and feedback. You might know this as “the candidate experience.”

To explain simply, it means that businesses now treat job applicants like customers. This is a great way to attract the best people for the job. So, using AI in hiring is a smart move because of this approach.

Why I Wrote This:

Our Text Analyzer is just one example of innovative, AI-powered recruitment marketing solutions. Text Analyzer helps you craft balanced and unbiased job descriptions.

Our Text Analyzer is a smart tool that uses AI to help create fair job ads. So, it makes sure your words are appealing to all kinds of people. Plus, it gives you information about how well your job ads are working. This way, you can make your hiring process even better. So, using tools like these helps businesses be fair and appreciate everyone’s skills. This also leads to success and a happy work atmosphere.

Schedule a demo with us today and see it for yourself?


  1. AI Recruitment (by Siobhan Carlson) 
  2. 7 Effective Uses of AI in Recruitment Operations (by Manatal) 
  3. 7 effective uses of AI in recruitment (by Melanie Johnson) 
  4. 14 Best AI Recruiting Tools of 2023 (by Recruiters Lineup)

by in Recruiting Strategies