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Artificial Intelligence: The Future of Effective Manpower Recruiting

Artificial Intelligence The Future of Effective Manpower Recruiting

In early 2021, a new economic trend swept the globe. The COVID-19 pandemic and resulting numerous lockdowns gave people the opportunity to slow down, think deeply, and reassess their lives and priorities. And the result? The Great Resignation.

Wage stagnation, rising cost of living, limited opportunities for career advancement, hostile and toxic work environments, lack of benefits, inflexible work policies, and long-prevailing job dissatisfaction were some of the many reasons why numerous professionals decided it was best to quit their jobs and explore newer and different roles in their careers. And the industries that were hit the hardest by this were hospitality, education, and healthcare.

In the backdrop of this new trend and the ever-changing economic environment, recruiting, mentoring, and retaining highly-skilled and quality talent has been an enormous challenge. From change in the expectations of the new worker to the shift towards fulfillment of qualitative goals like appreciation, acknowledgment, greater work-life balance, etc. more and more companies are taking a fresh look at how they attract, recruit, onboard and retain their most important assets: the talented workers who will bring their organizations to new levels of success.

According to SHRM, around 88% of companies globally already use artificial intelligence or AI in some way of HR operations. AI has been proving itself as a valuable resource when it comes to recruitment by providing benefits like efficiency, personalization, and data-informed decision making. Not only has AI reformed the relationship between tech and people, it has also revolutionized the role of HR when attracting, engaging, retaining talent.

AI in Recruitment

Recruitment is a time-consuming and labor-intensive task. A task that can be made much easier and smoother with the help of AI. Across the globe recruitment agencies and HR departments have been employing machine learning to automate various aspects of the recruitment process, from identifying prospective candidates, completing pre-employment assessments, filtering out unsuitable candidates, to efficiently saving time and resources for everyone involved in the recruitment process. AI makes it possible for hiring managers to focus of the more important aspects of recruitment, such as scouting potential candidates or conducting interviews.

Importance of AI in Recruitment

AI-driven HR technology improves efficiency through automation of tedious tasks thereby allowing recruitment teams to concentrate more on strategic, bigger-picture goals. AI has had a significant impact on recruiting software, revolutionizing various aspects of the recruitment process.

Resume Screening

AI-powered algorithms analyze resumes and job applications, automatically screening and shortlisting candidates based on predefined criteria. This saves time and effort for recruiters by efficiently filtering through large volumes of applications.

Candidate Sourcing

AI can identify potential candidates by scouring online platforms, social media profiles, and other sources. AI-powered recruiting software can search for specific keywords, skills, and qualifications, enabling recruiters to find suitable candidates more quickly.

Automated Interviews

AI has facilitated the use of automated interviewing tools, such as chatbots and video interviews. These tools can conduct initial screening interviews, ask predefined questions, and evaluate candidates’ responses based on predetermined criteria. This streamlines the early stages of the interview process and enables recruiters to focus on more in-depth assessments.

Predictive analytics

AI algorithms are capable of analyzing large amounts of data to identify patterns and make predictions about candidate performance and job fit. By analyzing past hiring outcomes, AI-powered recruiting software help predict a candidate’s likelihood of success in a particular role, aiding recruiters in making data-driven decisions.

Improved Candidate Experience

AI has allowed for the development of personalized and interactive experiences for candidates. Chatbots can answer frequently asked questions, provide updates on application status, and guide candidates through the application process. This improves engagement, reduces response times, and enhances the overall candidate experience.

In addition to the above, AI-driven HR technology has jumped leaps and bounds over traditional methods of recruiting.

Time and Cost Efficient

AI-powered recruiting software automates many time-consuming tasks, such as resume screening and candidate sourcing. This significantly reduces the time and effort required by recruiters, allowing them to focus on more strategic activities. Additionally, AI reduces the need for manual data entry, paperwork, and physical storage, resulting in cost savings for organizations.

Enhanced Efficiency and Accuracy

AI algorithms can process and analyze large volumes of data quickly and accurately. They can screen resumes, identify relevant candidates, and match them to job requirements more efficiently than manual methods. This improves the quality of candidate shortlisting and reduces the chances of overlooking qualified candidates.

Objective decision-making

AI algorithms make decisions based on predefined criteria and data analysis, reducing the influence of unconscious biases that can affect human decision-making. This promotes fair and objective candidate evaluation, ensuring that candidates are assessed solely on their qualifications and abilities.

Data-driven Insights

AI-powered recruiting software generates valuable insights from recruitment data, such as candidate performance, hiring outcomes, and process efficiency. Recruiters can leverage these insights to make informed decisions, optimize recruitment strategies, and identify areas for improvement. Data-driven approaches enable organizations to continuously refine their recruitment processes and make better hiring decisions.


AI-powered recruiting software can handle large volumes of applications and candidates without compromising quality. It can efficiently process and manage diverse candidate profiles, ensuring that organizations can scale their recruitment efforts as needed, particularly during high-demand periods.

Future of AI in Recruitment

The future of recruitment globally is increasingly looking AI. It has already transformed the recruiting software landscape, making the process more efficient, objective, and candidate-focused. The future holds even more potential for AI to drive innovation and improve various aspects of recruitment like –

Enhanced Matching Algorithms

AI algorithms will continue to evolve, improving their ability to match candidates with job requirements more accurately. This will result in better candidate-job fit and increased efficiency in the hiring process.

Bias Mitigation

Efforts are being made to mitigate biases in recruiting processes, and AI can play a crucial role in this area. By training AI models on diverse and unbiased datasets and implementing transparency measures, recruiting software can help reduce unconscious biases and promote diversity and inclusion.

Skill Assessment

AI can further assist in evaluating candidates’ skills through automated assessments and simulations. This allows recruiters to gain more accurate insights into candidates’ abilities and potential, enabling better-informed hiring decisions.


If you get AI right, it will blend into the background and be there for support. But it’s also important to note that AI should only be considered as an assistant or advisor to recruiters — it does not replace the need for human interaction during the recruitment process. It would be best recruiters consider AI-driven HR technology as guardrails and not as the rules.



  • https://www.shrm.org/resourcesandtools/hr-topics/global-hr/pages/employers-embrace-artificial-intelligence-for-hr.aspx

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