Research shows that approximately 1.2 million jobs in Switzerland could be replaced by computer systems, algorithms and robots. However, the roles typically identified as being ‘at risk’ include bar staff, security guards and drivers – not recruitment professionals. On top of that, there are predictions that robotics and automation can exist alongside human professionals, enhancing their work rather than replacing them entirely.
Though AI has permeated every industry and there’s much reservation surrounding the technology, there are many benefits of automation - particularly for recruitment teams. That being said, recruitment remains a fundamentally relationship-led process that machines will never be able to replicate. Here’s why recruitment can never be fully automated and how AI can instead enable companies to redefine their talent acquisition strategies.
Benefits of new technologies
While the human touch of recruitment can never be replicated, there are many ways that automation can help. One instance is AI-powered HR technology tools, which can reduce time to hire and improve the quality of hire simultaneously. AI tools and systems help recruitment professionals to sort through large volumes of applications and identify high-quality candidates – two major challenges that many consultants have faced in the wake of coronavirus. Prior to the outbreak of the virus, many companies were already using such technologies and the pandemic has triggered a widespread adoption of the technology, increasing investment in video interviewing software and virtual assistants.
In McKinsey’s The future of work: Switzerland’s digital opportunity report, results revealed that machine learning could increase the potential for automation of retail recruitment to 60% and to an even higher 66% for finance and insurance. So, how will it do this?
How automation and machine learning can help with the recruitment process
Recruitment has always been data-rich, but candidate information has traditionally been used to distinguish applicants from one another. The introduction of people analytics has enhanced this, repurposing data to predict what a successful candidate look likes. People analytics – similar to data analytics - tracks high-quality candidates and uses this information to create a personality matrix that predicts future successful hires. But while research from Deloitte found that 71% of businesses agree people analytics is high-priority, how much trust can you really place in a data algorithm?
Writing inclusive job descriptions
Various AI tools can help with creating job descriptions using inclusive language such as gender-neutral keywords. As research shows that diversity drives financial progress, there’s more than one incentive for companies to strive for a diverse workforce. This application of AI technology demonstrates how automation will continue to benefit the hiring process and wider business goals by lowering the chance of using biased language.
Recruitment during Covid-19
AI-powered systems have proved their worth during the pandemic, preventing recruitment from coming to an altogether standstill and earning a permanent spot in the recruiter’s tech stack. As a result, the pandemic has accelerated the automation of recruitment, but it’s also exposed the crucial role of the recruiter.
The human element
The human element of recruitment is about building relationships. Automation tools take admin tasks off the hands of the recruiter - particularly during the earlier stages of the recruitment process. Hiring teams can then reallocate this time to engage with the candidates who are further along in the process and perhaps more qualified for the role. Therefore, experienced consultants are essential when identifying high-quality candidates and during the executive search process – offering a human touch that automation cannot imitate.
Relationship-driven recruitment creates a superior candidate experience which is a crucial talent attraction strategy in a climate with a ‘war for talent’. Specialist recruiters are trusted to create, develop, enhance and maintain relevant talent pipelines so that companies have access to the best candidates from the talent pool. Whether the talent attraction goal is to ensure cultural fit, tackle D&I targets or source fresh talent from new markets, the human element remains the key piece to the puzzle.
AI and machine learning are enhancing the role of the recruiter
Though 24% of Swiss employees fear that robots will replace them in their job, this view fails to consider how AI and machine learning can enhance their job role. Hiring professionals can harness technology to see better results in both their time-to-hire and in identifying high-quality candidates. Before the start of the decade, the job market had confidently established itself as candidate-driven, but now most recruiters and employers are faced with the challenge of sorting through high volumes of applications. This is where technology can help to streamline recruitment, whilst allowing consultants to focus on the core relationship-building and communication elements of the process.
Working in harmony with automation
A recent report by Deloitte projected that 270,000 new jobs will be introduced in Switzerland by 2025 - the majority created by automation. The key takeaway is that AI technology doesn’t replace skilled professionals - rather, skilled hiring teams are needed to interpret the data that AI generates and add the personal touch. Though it’s still unclear to what extent recruitment will become automated, the role of the recruiter will remain an important one and will never be fully replaced by robots.
Stay ahead of the curve with Swisslinx
At Swisslinx, our international team of consultants make sure to keep stay ahead of the curve, despite operating in an ever-changing recruitment landscape. Our deep understanding of our core recruitment markets and considerate approach to communication means we provide a service that is unrivalled by any technology. Contact us to find out how we can tailor our approach to suit your businesses needs.