5 top reasons you should consider using AI in your hiring process

A recent LinkedIn report revealed that 70% of the global workforce is passive talent. AI-powered recruitment strategies help identify and engage these hidden candidates, increasing the pool of potential hires and improving the overall quality of talent acquisition.

Creating a supportive candidate experience is a must for all recruitment, enabling candidates to feel confident in their application and positively benefit your employer brand. AI is enhancing the support candidates get through the journey by simulating chat services whenever they want. These intelligent systems can now answer questions about the role, their potential team or the benefits of working for your organisation. This not only allows the candidates to feel positive about their experience but to self-select out early if it’s not right for them.

In their 2018 Global Human Capital Trends report, Deloitte found that automation can improve scale, speed and quality of human performance rather than replacing roles. Supporting human decision making with AI systems elevates you to a more strategic position in the recruitment process, enabling you to source, attract, engage and filter larger volumes of candidates more effectively.

Artificial intelligence excels at processing candidates’ natural responses such as speech or written documents. By assessing candidates’ natural responses, you can reduce their anxiety around the application. This enables candidates to confidently share their stories without being forced to fit into predefined categories, as traditional assessment methods often do. Supporting candidates in this way helps to increase the diversity of your candidate pool.

The world of work has undergone massive changes over the previous decade. The rate of this change is accelerating as businesses utilise new technologies and ways of working. In the same 2018 report, Deloitte found that as businesses increase their adoption of new technologies, there is increased demand for new competencies.

The competencies of the future combine hard and soft skills such as technical skills, complex problem solving, cognitive abilities and social skills. These competencies are difficult to measure using traditional assessments but are increasingly being assessed through AI powered assessments.