What’s the use of AI in recruiting?

Artificial intelligence is predicted to reach mass adoption across many industries this year. In recruitment, emerging tools promise to improve the hiring process significantly.

While top organisations desperately search for qualified candidates to fill empty positions, HR leaders must look towards new ways to improve the hiring process and win the talent war. Is AI recruiting the answer?

How is AI changing recruitment today?

Traditional recruitment methods aren’t perfect. It takes hours to write job descriptions, evaluate CVs and schedule interviews - while screening and interviewing candidates is riddled with bias. Recruiters have big expectations for AI, which promises to streamline the process and reduce human bias.

Many recruiters are already using AI recruiting tools to assist with labour-intensive tasks such as identifying potential candidates, screening CVs, scheduling interviews and automating communication. In-house HR professionals and hiring managers will follow suit in the next few years.

1 in 4 organizations plan to start using or to increase their use of automation or AI in recruitment and hiring over the next five years”. - Society for Human Resource Management, 2022

How to use AI in recruitment? The four main uses of AI in hiring

What is AI recruitment and how does it transform hiring? Explore the synergy between recruitment and AI in modern talent acquisition strategies. Let’s look at some of the ways AI is being used in recruitment today:

Advertising jobs

Emerging technology like ChatGPT - an AI-driven chatbot that produces human-quality responses - can help recruiters advertise jobs faster. AI tools for recruiting are used to write job descriptions and create attention-grabbing headlines for social media.

 

ChatGPT also optimizes job postings for search engines using keywords and phrases relevant to the job and the industry. The benefits? When used as a writing assistant, this AI tool can save time and resources and increase the number of job applications.

Sourcing and screening candidates

AI can automate CV screening by processing large amounts of data quickly, increasing the speed of finding the right candidate. AI algorithms can match candidates with job requirements based on skills, experience, and other criteria while also improving diversity by removing human bias from the screening process.

Not all algorithms are made equal, though. There are real concerns that algorithmic bias could lead to unfair screening and the exclusion of certain groups when recruiting. To minimize the risk, recruiters should take action to monitor and evaluate their systems for bias.

Nurturing and communication

AI technology can help craft personalized messages to candidates as they journey through the recruiting process - improving the chances of retaining their interest. It can also help recruiters automate repetitive tasks such as scheduling interviews.

The benefits? By freeing up time, recruiters can focus on areas that require a more human touch, such as building relationships through 1-on-1 calls and delivering personalized feedback sessions.

Improving the quality of new hires

AI algorithms can improve match-making by analyzing candidate data and matching them to job requirements more accurately.

When used in predictive analysis, AI can also increase the chances of finding a long-term hire by identifying patterns in hiring data and making predictions about the likelihood of a candidate being a good fit.

The pros and cons of AI recruiting technology

AI can give companies the edge, but some challenges still exist. Top recruiters know when to go all-in on AI and where the hiring process still needs a human touch.

Let's take an in-depth look at the benefits of AI in recruitment, as well as the potential downsides.

The pros of using AI in the recruitment process include:

  • Increased efficiency

    AI can automate repetitive tasks, reducing the time and effort required to fill a role

  • Improved accuracy

    AI algorithms can match candidates to job requirements more accurately, leading to better-fit hires

  • Enhanced diversity

    AI has the potential to reduce human bias by offering processes that attempt to keep it in check

  • Reduced time-to-hire

    AI can streamline the recruitment process, reducing the time it takes to fill a role

  • Better candidate experience

    AI recruiting chatbot can automate communication with candidates, keeping them informed and engaged throughout the hiring process while freeing up the recruiter’s time for relationship building

The cons of using AI in the hiring process include:

  • Algorithmic bias

    AI systems can perpetuate existing biases and reinforce inequalities

  • Lack of human interaction

    AI tools lack the empathy and interpersonal skills necessary to build strong relationships with candidates - top recruiters only shine when they get the right balance

  • Lack of transparency

    AI tools can make it challenging for recruiters to see how decisions are made

  • Legal and ethical concerns

    The use of AI in recruitment raises legal and ethical considerations, such as privacy and data protection

AI in the future of recruitment

Talent acquisition plays a considerable role in maintaining an organisation’s ability to compete. Amid the Great Resignation, top employers should consider how AI tools could improve their recruitment process.

Still, even the best AI tools for recruiting are in their infancy and have many challenges to overcome. Leaders need to consider when these tools are helpful - and when they should outline the need for humans in the recruitment process.

Help with AI recruiting?

Does your HR team need support? With Heron Talent as your recruitment partner, our consultants will help you navigate the talent shortage and find the qualified candidates your company needs to thrive. Learn more about our headhunter services.

Discover more about AI in recruiting and the future of work:

The New LinkedIn Recruiter: Harnessing AI for Enhanced Candidate Engagement

The Impact of AI and Automation on the Future of Work

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