Data and AI are not only helping companies to compete but also infiltrating every part of our lives. One area that AI has already made a definitive business impact is in talent acquisition. AI can help automate tasks for recruiters and provide them with insights they have never thought of. According to Korn Ferry Global Survey of 770 acquisition talent professionals, 63% of the respondents mentioned that AI has changed their ways of recruitment while 69% believed that AI has enabled them to find more qualified candidates. A later survey by LinkedIn on Global Recruiting Trends highlighted AI as one of the four most important recruiting trends in 2018, particularly useful in sourcing, screening, and nurturing candidates.
As more data is becoming available, the use of AI in recruiting will only increase. Here are four fascinating use cases of AI which will make recruitment a more effective process for your business.
Better job advertisements
An effective candidate search starts with a good job advertisement. Leveraging the power of natural language processing and predictive analytics, companies such as Textio can inform the recruiters what types of phrases and language patterns would generate better responses and more qualified candidates for the positions, saving time for both recruiters and candidates. Another area is programmatic advertising where job advertisements can be more targeted to the candidates based on their browsing history.
Candidate sourcing automation
Finding candidates from multiple sources and narrowing down the right ones are both challenging and time-consuming. AI can now automate the sourcing process by analyzing hundreds of millions of social media profiles and sending customized messages to engage the candidates, thus helping your company to build a pipeline of talents.
An important source of hiring naturally comes from your own employees. Having an effective employee referral program can save time and money for the recruiters to identify the suitable referred candidates for the hiring managers. In fact, AI can call out your best passive talents within your company and get them to refer to their collective network.
Modern consumers mandate speedy transactions. A recent survey found that 69% of all consumers prefer chatbots in engaging with businesses. The prevalence of recruiting chatbots in collecting candidate information and engaging candidates in conversation means human recruiters have more time to spend with the selected candidates for a more thorough evaluation. Recruiting platforms such as Jobvite help for-profit and nonprofit organizations to target the best talents and engage them with personalized messages.
Comprehensive candidate evaluation
The use of video interviews is rising and has two major benefits: It saves the recruiters' time and helps them to review the candidates' traits and characters more completely. With facial and speech recognition software in video interviews the candidate's body language, the use of words, the tone of voice as well as honesty and energy levels can all be analyzed to see if the candidate is the best fit for the role.
Diversity in hiring
Diversity is not only a major trend in recruiting but also something both the employers and employees embrace for a more innovative, inclusive and productive workplace. The use of unbiased and inclusive job advertisements, recruiting chatbots and facial recognition analysis, in addition to tools to assess and hire remote workers contribute to increasing diversity in the hiring process.
AI now appears everywhere and can seem threatening to some. While AI is not going to take over the recruiters' jobs, it is also clear that AI has reshaped the recruitment strategy for businesses in significant ways. AI can augment human intelligence by freeing up humans to spend their time in the most productive way. Recruiters and hiring managers can become smarter and more resourceful in targeting and hiring the right candidate.
What should the company do? Learn and adapt. As AI applications will become more widespread in recruiting, the company can learn from other companies and users and experiment to see which AI tools will benefit its business process the most.
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