5 Reasons AI will Take Over HR Operations in Near Future

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Smriti Rajan
Smriti Rajan
Smriti Rajan comes from a political science and literature background, having an immense passion for writing across varied topics. She has written several articles and blogs for diverse audiences worldwide. She has produced several research publications, policy frameworks, and opinion pieces for think tanks, government institutions and corporates. Alongside this, she writes for a large Fortune 500 clientele and is a key contributing writer for Wikistrat on their EMEA desk. Currently, she resides in India.

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Multiple human resources operations and processes have been optimized by artificial intelligence (AI). These highly developed computer programs are excellent at identifying patterns, making plans, and adjusting in ways that closely resemble human reasoning. AI algorithms, however, are quick, persistent, and effective, in contrast to individuals who can grow weary or bored or introduce unconscious biases into their conclusions.

No matter the industry, according to a McKinsey report, AI will fundamentally alter business. “AI may potentially produce additional economic production of roughly $13 trillion by 2030, raising global GDP by about 1.2 percent each year,” the study states.

So, will AI take over HR operations in the near future? Here are 5 reasons to consider.

Hiring Highly Qualified Candidates and Reducing Bias

AI not only expedites the candidate selection process and offers invaluable analysis, but it also makes use of that information to match people with appropriate roles. AI algorithms are able to recognize the qualities of successful employees and search for applicants who possess those qualities for particular occupations.

Furthermore, AI can disregard information regarding a candidate’s age, race, and gender.  Additionally, it doesn’t begin with any preconceived notions favoring or disparaging any particular region, educational institution, or association. When people read applications and make employment judgments, these variables may come into play subconsciously. AI can lessen hiring discrimination and contribute to a more culturally diverse workplace.

Streamlining Employee Onboarding

New employees frequently have a lot of inquiries about the company’s perks, paid time off, and policies. AI chatbots can respond to these repetitious questions, freeing up HR staff to perform responsibilities like workplace tours and training. AI can also help with new hire paperwork, allowing staff to start working more quickly.

Helping Employers Craft Job Descriptions

Recruiters may create the ideal job description with the aid of modern AI software. Programs like Textio help recruiters use gender-neutral language by identifying gender bias in advertisements. Additionally, AI software can assist in crafting job descriptions, specific to the desired applicants, by comparing the wording of an ad with earlier campaigns that have been successful.

Improving Employee Engagement

AI’s uses go beyond hiring. AI assists in expediting routine corporate procedures and almost completely removes the possibility of human error, from organizing meetings to coaching personnel. This reduces a great deal of time and fosters employee engagement.

Saving More Time

AI improves productivity and saves time for HR departments and recruiters. It costs an average of 14 hours per week for HR managers who don’t employ automation to complete duties like payroll, applicant monitoring, training, job advertising, and more. You could be wasting time and money if your company doesn’t adopt AI technologies to automate at least some areas of HR.

In Conclusion

Although AI is a valuable tool for automating many aspects of HR, the “human” aspect shouldn’t be neglected. HR directors have a deeper understanding of their people and the company than AI software does, from making the final hiring decisions to coming up with innovative ways to keep staff motivated. HR managers may assist employees in making the transition to AI easier by demonstrating to them how AI in HR can improve productivity and efficiency for almost everyone in the organization.


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