Artificial intelligence will create more jobs
globally rather than eliminating jobs in 2020, with white-collar service
workers in certain companies taking the biggest hit, an industry expert said.
Peter Sondergaard, executive vice-president and
global head of research at Gartner, on the sidelines of the Gartner Symposium/IT
Expo 2018, that firms such as legal, insurance and banking are likely to be
impacted. Gartner,
Inc. is an American research and advisory firm providing information technology-related insight for IT and other
business leaders located across the world. Its headquarters are in Stamford,
Connecticut, United States.
He said AI will create 2.3 million jobs in
2020, while only eliminating 1.8 million jobs.“When we move beyond the horizon, we will see
more of blue-collar jobs getting eliminated such as transportation and trucking
jobs due to autonomous vehicles. The jobs that are going to be created is to
train the AI systems by inputting data and data scientists.”
According to Sondergaard, there is risk
involved with AI and the first risk is the elimination of jobs; the second one
is biases of software code, and the third
risk is the bias of the data. Software code is developed by the mindset of the
people of the developers.
“If they are young people, they will be biased.
Feeding bad data it will give bad data
out.”
After 2020, he said that young people are
likely going to a job category that does not exist today, using skills we don’t
know we need and trying to do something in a business that does not exist
today.
“AI is here to help us and create new
opportunities and capabilities. A person plus a machine is smarter either by
themselves. AI will continue to learn and improve human decisions with lots of
data. Data is the new fuel,” Sondergaard said.
He said most people are still in the dark about
how to approach AI.“AI is hyped and we don’t know yet what AI will do and the
full impact it will have on society and individual businesses. A major part of
AI will be relatively simple but bot-based implementations over the next couple
of years but there is a lot of scopes for
companies to exploit AI,” Sondergaard said.
He added that AI will not probably take off in
a big way until 2030. What AI is affecting today is the user experience,
processes and analytics in banks, insurance companies and cybersecurity
companies. There is a shortage of talent for skilled workers such as data
engineer or scientist, but he said the region is capable of importing talent.
“Organisations that are not creating new
digital business models, or new ways to engage constituents or customers, will
begin to lag. Vendors that do not move more quickly than their clients will be
left behind.”
He said there are three barriers to digital
transformation in existing companies: culture, resources and talent.
“Culture is one of the slowest things to
change. It is hard to change the way people think, so you need to change what
the people do instead. Once they do things differently, it shifts the way they
think. This shows that digital transformation is the first and foremost a
business transformation. People, not technology, is the most important piece in
the digital transformation puzzle,” he said.
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