Latest Trends in AI Recruiting to watch for in 2021 and beyond
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. Programmatic Job Advertising This type of job advertisement uses Artificial Intelligence to purchase, distribute, and enhance job ads. These job ads appear over the web without human interference. The Programmatic job analyzes the data captured through the market and the employer’s historical background of ad tracking to discover how the ad will perform. Following this, it makes informed scheduling and placement decisions for job ads. To make it simple, the programmatic job advertising places the true job ad, at the correct time, on the correct platform, to reach the exact candidates. Recruitment Marketing Software Recently, there’s been a slow and gradual shift from advertising to marketing in terms of staffing strategy. Nowadays, the recruitment marketing software focus on the two most vital parameters of a recruitment strategy – create tempting job ad content and build an employer brand. In today’s staffing and hiring industry, soft-selling works better in appealing to passive candidates. The recruitment marketing software converts hard-sell job ad content into something more interesting, engaging, and tempting for the targeted candidates. Interview Chatbots Chatbots have been introduced in the recruitment industry for a few years now, but their use was limited only to providing landing pages and encouraging candidates to apply for a certain job. But today, Chatbots technology has evolved and performing tasks like pre-screening candidates and even scheduling interviews. These chatbots interact in a human-sounding text conversation with applicants to collect their information, response, media, videos, and documents. These chatbots are sympathetic, instinctive, and assumptive, and they can communicate via chat, email, or text. Resume Database Filter With the help of database filtering modules, you can use your ATS resume database to filter candidates who had earlier applied for a role at your company. After successful filtering of the candidates. It checks whether this pool of candidates is a match to your current open job orders. Once the right match is found. This particular AI technology establishes contact with those candidates via social media, email, or other channels. It also looks out for their social media profiles to look for new employment history and then adds it to the candidate profile. Job Aggregators The ever-evolving job aggregators are one of the AI recruitment technologies that use bots to sneak various career sites, social channels, job boards, etc. to advertise your job posting. However, to take advantage of job aggregators, a separate URL for each job listing is required. When interested candidates navigate these job listings, they are automatically directed to the original location of the listing for the candidate to proceed with the job application. Job aggregators are also handy in checking your competitor’s listings and compare the salaries, profits, and job description content. AI-powered recruiting tools lead to more effective sourcing Using AI-powered recruiting tools helps improve the quality of candidates in your pipeline in a number of ways. In order to complete an application, a candidate must have suitable technical skills. After all, if they can’t even complete an online application. Then they may not have the right set of skills to fulfill the position. As AI recruiting performs biometrics analysis to evaluate the quality and authenticity of candidates’ responses, providing even more insight on the likelihood of a good fit. The second benefit is that AI-powered tools can filter candidates that your human recruiters may not be capable of. As a result, recruiting teams can spend more time with quality candidates, working on relationship-building and evaluating for soft skills. AI-powered tools are efficient enough to improve the quality of the candidate pipeline by reaching passive candidates. According to recent research, 95% of candidates, recruiters try to hire are not even looking for new jobs. This is where the significance of referrals comes in, using personal social networks to spread the word about available positions. Personalized experience We’ve already mentioned the significance of chatbots, but it doesn’t end there. These days, candidates are more concerned about how they want to interact with potential employers as well. Many think the key to a great candidate experience lies in personalization. This goes past discretely addressed emails and outspreads to tools that make candidates feel special or unique. In traditional recruiting methods, only a human recruiter could offer such an experience. With the progress of AI technology outcomes, employers will be able to rely on AI-powered tools to help recruiters accomplish the same goals. Some AI tools now provide ‘real life’ conversations in text, and Google has already taken that to the next level with its voiced AI assistant that is impressive, to say the least. It’s particular to the point of connecting on a human-to-human level. Reducing Bias Unconscious bias is possibly one of the most common and hard-to-overcome difficulties to quality recruiting. If decision-making is driven by machine learning algorithms and insights. Latest trend in AI recruiting can help eliminate such biases. Thus, creating a more objective and fair hiring process. Fewer errors The lesser the human interaction, the lesser are the chances of human error. The tasks performed with Artificial Intelligence and machine learning are less likely to result in errors and more likely to improve the efficacy of the hiring process. Furthermore, with artificial intelligence recruiting, employers and recruiters can spend more time with candidates and less time doing repetitious tasks, ultimately leading to higher productivity and lower cost per hire. New employee onboarding Use of AI technology in recruitment industry can help in reducing the administrative burden of the onboarding process. Employee onboarding software also allows recruitment firms to ensure a 24/7 onboarding. AI chatbots can answer specific questions and guide applicants through the various aspects of their onboarding. As a result, new hires can integrate faster. Rerouting candidates Another new thing that AI is bringing into the world of recruiting is rerouting candidates. This means, if a candidate is not a suitable fit for a particular job. Then, they will be rerouted or directed to another company. This, firstly will help companies reach the right talent tool easily. While, secondly, will open new opportunities for candidates looking for a job, ultimately resulting in higher employment level. According to a recent survey, many companies are following this concept. Many others will join the bandwagon. In others words,the numbers are predicted to increase in future. Click here to request a RecruitBPM ATS Product tour. This post Origionally featured at RecruitBPM's Blog
