Top 5 ways to use AI for Recruitment

Organizations are changing the way they recruit. With AI, the process of hiring and candidate evaluation has seen a massive shift.

The IBM Global AI Adoption Index, 2023 indicated that 42% of organizations are already using AI for recruiting candidates, with the other 40% planning to integrate it. Its increased application is a quest to improve the efficiency and equity of the recruitment process to mitigate discrimination and biases.

AI optimizes hiring by swiftly identifying top candidates and accelerating the process. This data-driven approach leads to higher-quality hires.

What is the Importance of AI for Recruitment?

AI helps HR improve the recruitment process, make more objective decisions, reduce bias, improve candidates' experiences, and finally recruit the right-fit professionals.

Let us now consider AI in recruitment and how it enhances the process.

• Increased Productivity of Employees: AI-based systems perform repetitive tasks like CV filtering and screening candidates in the pre-interview phase. This quickens the recruitment activity, lowers the time to hire, and enhances efficiency as a whole.
  
• Data-Driven Decision Making: AI can analyze piles of information on candidates, including their resumes, LinkedIn profile and past projects, and find trends that would be nutcrackers to human recruiters. This approach reduces guesswork, leading to improved hires.
  
• A Better Experience for Applicant: Chatbots and virtual assistants help applicants during the application process by addressing their concerns about it or assisting with their navigation through it. This improves the candidate’s impression of the organization and overall experience.

‍

How is AI Transforming Recruitment?

As per Microsoft's Work Trend Index, 70% of workers wish to assign as much of their tasks as feasible to AI to reduce their workload. This trend is particularly significant for recruiters, allowing them to use AI to simplify processes such as resume evaluation and initial candidate communications.

Here are some ways in which AI simplified recruitment:

1. Building and Sourcing of Talent Pools

AI can locate people who have yet to formally declare their job search status, assisting search through social media networks for inactive candidates suited to certain positions. Using advanced search algorithms, an organization can potentially target people in certain skill or experience profiles who are not seeking employment with the firm at the present moment.

2. Employer Branding and Candidate Experience

AI can enhance the candidate experience by personalizing it to different preferences or behaviors, which increases engagement and contentment. AI can also help analyze candidate sentiments and interactions on social media to determine where to improve their employer brand.

3. Enhanced Interviewing and Assessment

AI-driven interviews provide an impartial method for evaluating job applicants. By examining both verbal and nonverbal cues, they recognize crucial skills such as communication, critical thinking, and compatibility with a particular culture.

For instance, a technology firm could employ AI to assess coding applicants, examining their problem-solving skills and technical expertise with a simulated coding test. This would eliminate the necessity of screening resumes initially and enable recruiters to concentrate on the right candidates.

‍

Top 5 ways to use AI for Recruitment

The following section delves into ways to use AI to get the best talent onboard.

1. AI Candidate Sourcing

Candidate sourcing with AI tools refers to finding potential job candidates and reaching out to them with the help of advanced technological resources. This helps navigate vast pools of data to find appropriate candidates and screen them as per the requirement.

AI expedites the process by performing keyword searches for a specific word in the database, scanning resumes, and conducting the first round of interviews, which allows recruitment specialists to focus more on strategic aspects of the selection process.

Let us examine a case study to illustrate this point further. A renowned North American book chain faced a significant challenge due to a surge in online applications.

To address this, they implemented an AI-powered recruitment solution. This solution automated resume screening, significantly reducing candidate wait times. It enhanced the candidate experience through personalized communication and streamlined workflows.

Additionally, it optimized talent pools by identifying potential candidates for various roles, even if they hadn't applied. This led to a 75% reduction in screening costs and a 71% reduction in the cost per hire. By leveraging AI, the organization improved efficiency and expanded its talent pool by 196%.

2. AI Talent Assessment

Recruitment is an exhaustive and time-consuming process of reviewing and evaluating applications. With talent assessment tools, recruiters can target a candidate's hard and soft skills by allowing situational judgment. This, in turn, offers a superior understanding of the individual's capabilities.

iMocha's AI-LogicBox revolutionizes coding assessments by streamlining your process, engaging candidates, and ensuring accurate evaluations. It eliminates complex setups, reduces dropouts, and makes data-driven decisions with objective scoring. Experience the future of coding assessments today with iMocha's AI-LogicBox.

3. AI video interviews

Video interviews provide an efficient and unbiased method of evaluating applicants. Video interviews powered by AI help reduce both conscious and subconscious bias. Organizations can guarantee fairness and equity by standardizing the interview process and offering objective metrics.

Imagine a tech company using AI-powered video interviews to screen software engineer applicants. The AI analyzes candidates' responses to technical questions, their coding skills demonstrated through live coding exercises, and their overall communication effectiveness.

Explore the upcoming trends in recruiting programmers. Using iMocha's Live Coding Interview, you can evaluate applicants' abilities to solve problems in real-time.

Assess their thinking process, work instantly with evaluators, simplify the recruitment process by removing written feedback, and ensure strong candidate participation.

This objective assessment helps the organization identify top talent from a diverse range of backgrounds, ultimately leading to a more inclusive and skilled workforce.

Using iMocha's automated video interview, tailor video questions to meet the unique demands of various job positions and effortlessly distribute reports to hiring managers and recruitment teams.

4. AI-based applicant tracking system

AI-driven Applicant Tracking Systems (ATS) are now enhancing talent sourcing, evaluation, and recruitment. AI can analyze resumes, spot key terms, and evaluate candidates according to industry standards, minimizing manual screening and selection.

For example, a worldwide e-commerce firm is utilizing an AI-driven ATS to optimize its recruitment process for numerous customer service positions. The AI can review resumes and cover letters, detect keywords, and evaluate candidates.

This helps pinpoint exceptional candidates, decrease the time required to fill these roles and enhance the overall effectiveness of their hiring process.

5. AI-based CRMs

AI-powered CRMs enhance tailored candidate experiences and develop seamless collaboration within teams. With advanced algorithms, these tools can analyze data to follow patterns and trends to tailor the recruiter’s approach.

Existing employees can be notified about job openings within the organization. So, they can then be hired for the role based on their skills through internal mobility.

AI-powered tools can improve seamless collaboration among recruiters, hiring managers, and other parties, fostering alignment and efficient decision-making. They assist in linking candidates to appropriate job openings by evaluating skills, experience, and cultural fit, improving the recruitment quality.

‍

Conclusion

AI in recruitment is now revolutionizing how companies source, evaluate and employ talent. By automating repetitive tasks, examining large datasets, and offering insights based on data, AI-driven tools are enhancing the recruitment process.

By focusing on skills-first hiring, organizations can transform their talent acquisition strategy. The skills assessment solution from iMocha provides thorough and reliable insight into a candidate's skills.

Sign up for a free consultation to use iMocha to speed up time-to-hire and cut screening time by 60%. Deliver a smooth and effective candidate experience like the 300+ enterprises that have trusted us.

Schedule a demo today to discover how iMocha can assist you in reaching your hiring objectives.

‍

FAQ

How is AI being used in recruitment?

AI is changing recruitment as it simplifies many processes, such as resume sifting, scheduling interviews, and processing candidate information. It also helps find the right candidate, evaluate them, and enhance the applicants' experience.

Can we trust the use of AI in recruiting?

While AI has many strengths, the risk of error continues to exist, and therefore, it should be utilized responsibly. Organizations must shield themselves against the adoption of AI applications that are unjust, opaque, and otherwise incongruent with values.

What is the future of AI in recruitment?

With the advancement of AI technology, we are likely to see more innovative applications such as improved predictive analytics, virtual hiring agents, and highly personalized candidate experiences. AI will be pivotal in deciding the future of work.

What types of recruitment AI applications exist? 

Numerous AI tools exist for recruitment, such as:

• AI-driven ATS: Automates processes such as resume analysis, candidate evaluation, and job advertising.
  
• Chatbots: Interacts with applicants, responds to inquiries, and offers details.
  
• Video Interviewing Tools: Streamlines the interview process, evaluates candidate replies, and delivers insights.
• ‍Tools for Skill Assessment Driven by AI: Assess skills and competencies of candidates via coding tasks and simulations.