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
People Analytics
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.