AI and Hiring: Dice Recruitment Automation Report 2018

AI and Hiring: Dice Recruitment Automation Report 2018

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Intelligent technologies are transforming the hiring process. AI recruiting software using machine learning, natural language programming (NLP) to take recruitment automation to next level. AI for resume screening, recruiting chatbots for candidate engagements, predictive analytics to notice employee’s likeliness to change the job are few such new age recruitment automation tools.

Dice recruitment automation report of 2018 reveals that 77% of recruiters think that they need to adopt to new AI for recruiting.

Some of the interesting findings from Dice recruitment automation report are highlighted below.

Recruiters Consider AI as Help And Not Threat

45% of recruiters are looking at AI as an assisting powerful tool rather than as a threat. They think it’s a positive thing. However 49% have stayed neutral when asked about how they feel about AI recruiting tools. Only 6% participants felt negative about these new age tools.

Benefits of Recruiting Automation

When asked about if recruiting automation brought them any benefits, 55% of the respondents said their life became easy after automating daily mundane manual tasks.

Dice recruitment automation report shows 34% of the participants said recruitment automation has improved the quality of hire where as 39% agreed to reduction in time to hire. These recruiters were from the companies that have implemented recruiting automation.

When asked to recruiters who are still using manual methods for recruiting, 44% of such recruiters said they missed hiring opportunities because of lack of automation. 72% of the respondents agreed that their process was slow. 19% of these recruiters said lack of recruiting automation lead to poor candidate experience which also impacted their brand of company negatively.

Tasks Recruiters Want Automated

Although companies are looking at using ai in recruitment automation, recruiters seem to have preferences in terms of the automation they want to see and automation they may want to avoid.

Recruiters spent majority of time in sourcing candidates. They could be using job boards or social media channels to source candidates. 46% of the survey respondents have said they would like to see candidate sourcing automated.

Using AI for resume screening can save huge amount of time. Resume screening is another everyday task where recruiters spend huge amount of time. Recruitment automation report indicates that 31% of the recruiters said they would like to see resume screening automated.

Dice Recruitment Automation Report 2018
Recruitment Automation Priorities 2018-19

46% of recruiters felt that recruitment automation can help them measure various aspects of hiring process. Recruitment analytics can reveal interesting facts about your talent acquisition process.

Although most recruiters want majority of their daily tasks automated, they feel tasks like interviewing and offer negotiations cannot be automated. Recruiters felt personal level engagement is required for both offer negotiations and interviewing.

Summary

With the rise of AI for recruiting, there is a lot of buzz around intelligent recruiting automation. Companies are looking for recruitment automation software with technologies like AI, ML, NLP to automate most of their recruiting tasks. Majority of recruiters seem to look at AI recruiting tools for smart assistance than seeing it as threat. Hence, 30% of the recruiting teams are planning to spend on recruitment automation in coming year. Also, recruitment automation improves candidate experience. Good candidate experience registers with user. It ultimately helps in improving brand value of a company.

Amit Gawande

Amit Gawande

Amit Gawande is a Co-Founder of CVViZ, an AI recruiting software. He has more than 15 years of experience in software development and leading large teams. He has built products using NLP and machine learning. He has recruited engineers, programmers, marketing and sales people for his organizations. He believes in using technology for solving real-life problems.

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