In the Black & White age of Human Resource procedures and recruitment, things were simpler than they are today. The reason being that the demands, challenges, and options that HR managers had then were very unlike today. The recruitment world has evolved. It is going to evolve even more. Skill sets have changed and are frequently changing even more. Candidates look at jobs and careers in extremely new ways now. Also, their priorities have changed and they are not even hanging out in the same places anymore. That is why traditional recruitment techniques stand miles apart from modern methods i.e., AI-based recruitment. So what are the latest trends in AI recruiting?
Traditional recruiting methods lack in the range of interaction-platforms and sourcing of talent. All recruiters had was conferences/seminars, workshops, newspaper advertisements, referrals, recruitment agencies, promotions from within the companies, internal job-boards, and intra-organizational hiring. Today, the world is open and unbounded. You can find your desired talent anywhere – on social media platforms like Facebook, Twitter, LinkedIn community, in college events, with intelligent robots trawling the web, through AI-based resume-processing, via sharp data analytics and virtual tools. The attractive part is that the candidates these days expects to meet a prospective recruiter in these cool places. Plus, recruiters now realize the value and tendency of performing workers and passive workers. They might seem too eccentric but they can be extremely suitable to add the value and productivity that the organization needs in recent scenarios. To add to that, diversity and inclusion have become essential hallmarks of today’s recruitment approaches.
Imagine the number of days HR managers in the past would take to assess a pile of resumes or wait for an employment agency to serve a pool of candidates for starting interviews. Consider the money that would be spent in posting for, looking for, meeting, interviewing, influencing, and on-boarding these candidates. When you compare traditional and AI-based recruitment methods, you cannot help but notice the change. An AI algorithm can scrutinize through mountains of potential resumes or profiles in a matter of seconds, a bot can schedule the recruitment process at the tap of a finger and even take away the burden of basic interactions and orientation of candidates. New recruitment methods can shrink the entire cycle of recruitment by using AI-based and technology-driven recruitment techniques.
The biggest difference in AI-based and traditional recruitment methods is the luxury of knowing whether a recruitment exercise worked. There’s no more ambiguity in recruiting with the influence of analytics and real-time information. Recruiters can know, during and post-recruitment, if the hired candidate is delivering as per expectation, suitable for the organization, productivity, performance, ability, and value. These tools help to measure the employee-side of the experience, supporting organizations to improve employee satisfaction, helpfulness, and retention rates. Data can be provided and administered at every tiny stage of the recruitment cycle, allowing recruiters to adjust and align well to changes and challenges. This data also aids an applicant know what is happening and how much time the whole process will consume. They can click a button and interact with chatbots to catch up on basic queries and supply routine assessments.
The recruitment technology is evolving, and AI is fast becoming a mandatory tool in every recruiter’s toolbox. In the recent past, AI has proved that it can do a lot more than expected; its capabilities have been tested, and a lot of upgrades and improvements have come through since then. Here we will look at the biggest AI trends that are nurturing the recruitment landscape.
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