Recently, there has been a growing trend amongst organizations seeking to invest in AI-recruitment software. These solutions have proven to help recruitment and talent acquisition professionals gain a massive leg up in their efforts. In other words, recruiters can now intelligently find and engage with top candidates at a fraction of the time and resources. Especially in areas of high volume with more repetitive and mundane tasks, AI can help recruiters easily streamline and automate more of their workflow. Because of this, it is important to note how this smart solution will influence the industry going forward. AI recruitment technology isn’t going away anytime soon, so it is essential to understand the pros and cons. Below, we provide a list of our top benefits and consequences of AI-recruitment software that you need to know.


When used in the right instances, AI recruitment can offer organizations immense benefits to better improve their recruitment processes. Some of the main pro’s of AI-recruitment software are:

1. AI-Recruitment Software Gets Better Over Time

With true machine learning, the AI in recruitment software continues to get better with more data and information put into the system. Like a Netflix or a Spotify, the platform continues to tailor recommendations and solutions to you the more it is used. Because of this, in just a few months of usage, your system will be a master talent matchmaker tailored to your specific organization and open roles.

2. Minimized Human Biases

Unintentional human biases can hinder the recruitment process and lead to the wrong candidates filling roles. While these biases are almost always subconscious and unintended, they are still a reality. AI recruitment helps eliminate these biases by focusing solely on objective aspects of the candidate. For instance, AI measures quantifiable characteristics such as one’s skill set, knowledge, and experience. Because of this, Artificial Intelligence can help provide a fresh and unequivocal viewpoint into your candidate pipelines and talent pools – ensuring no additional biases or influence enter the process.

3. Reduced Time to Hire 

Recruitment professionals can easily waste a lot of time searching, screening, and interviewing the wrong candidates. The use of AI-recruitment software helps to reduce the time spent in these processes by seamlessly placing the best candidates at the top of your priority lists. Predictive analytics powered by AI can help identify the most qualified candidates earlier in the recruitment process, saving you time and money within your search efforts. 

4. Improves Candidate Experience and Engagement 

AI-recruitment software offers candidates a positive experience through a fast and simplified recruitment process. Optimizing the candidate experience gives the candidates a positive first impression of your organization or business. Recruiters can do this all through automated engagement campaigns, outreach, and a quicker time to hire. In other words, recruiters can give candidates a better experience at a fraction of the time and effort on their end. 


Here are some of the drawbacks associated with AI-recruitment software: 

1. May Exhibit Unconscious Biases if Written Incorrectly

True AI learns from available data, making it susceptible to unconscious biases. If people are responsible for the data in the system, their words and preferences may shine through. A company like Amazon discovered that its recruitment software favored keywords predominantly used by male applicants. Consequently, they found that this was making it difficult for female applicants to cut to the first round of interviews. Having a diverse team that is building, maintaining, and growing your AI capabilities and database will help mitigate these potential downsides. 

2. Reduced Accuracy and Reliability if Implemented Incorrectly

Sometimes, the AI-recruitment software may perpetuate inaccuracies and be less reliable if those using the system do not follow proper protocol/place candidates that are NOT a good fit for the role. Incomplete data that fails to represent your candidate pipeline can skew results and make results less accurate overall. Because of this, AI can also be too dependent on specific keywords and search criteria, but you will get good results if your team is thoughtfully putting in data. Recruitment software usually scans for words and phrases that help in selecting qualified candidates.

3. Lack of Human Touch.

Since AI predominantly depends on data, the recruitment process may fail to identify factors such as work ethic, personality, character, and personal interests. Recruiters can only discover these kinds of attributes through face-to-face interviews and human judgment. The hiring process may also feel less personalized for the candidates and the hiring manager due to AI-powered communications. AI helps recruiters have more meaningful conversations with qualified candidates and can’t to replace recruiters. It is vital for the success of your AI implementation to understand that human touch and AI work in tandem to yield the best results.

So why do we Need AI-Recruitment Software?

Given the pros, many high-performing recruiting teams are leveraging AI to improve their hiring process. If you would like to look into new recruitment software, we’re here to help you. Kindly talk to one of our consultants today to learn more.

You can also find more literature and content around the benefits of AI-recruitment software here