I work at ValueFirst Digital Media Private Ltd. I am a Product Marketer in the Surbo Team. Surbo is Chatbot Generator Platform owned by Value First. ...
Full BioI work at ValueFirst Digital Media Private Ltd. I am a Product Marketer in the Surbo Team. Surbo is Chatbot Generator Platform owned by Value First.
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â??Artificial Intelligence to create more jobs than it eliminates, by 2020â?? â?? Gartner
â??Artificial
Intelligence to create more jobs than it eliminates, by 2020â?? â?? Gartner
Although AI is expected to eliminate around 1.8 million jobs
by 2020, it will add a whopping 2.3 million in the same time period. 2020 will
see AI become a positive job motivator and play a crucial role in the job related
dynamics.
AIâ??s impact will vary from industry to industry. While
healthcare, public sector and education will see growth in job demand,
manufacturing will be hit the hardest. Starting 2020, AI will create jobs and
have a positive impact and it will reach two million net jobs by 2025.
Svetlana Sicular, research president of Gartner was quoted
saying â??Many significant innovations in the past have been associated with a
transition period of temporary job loss, followed by recovery, then business
transformation and AI will likely follow this routeâ??. AI will help improve the
productivity of many jobs, eliminate millions of middle and low level positions
but also end up creating millions of more new positions of management, highly
skilled and even the low variety & entry level ones.
It is unfortunate to see most people confusing AI with
automation and blaming it for job losses. It is important to keep in mind AI
augmentation which is a combination of human and artificial intelligence where
both components complement each other.
IT leaders should not only focus on the projected net
increase of jobs. With each investment in AI-enabled technologies, they must
take into consideration what jobs will be lost, what jobs will be created, and
how it will transform how workers collaborate with others, make decisions and
get work done.
"Now is the time to really impact your long-term AI
direction," said Ms. Sicular. "For the greatest value, focus on
augmenting people with AI. Enrich people's jobs, reimagine old tasks and create
new industries. Transform your culture to make it rapidly adaptable to
AI-related opportunities or threats."
Gartner identified
additional predictions related to AIâ??s impact on the workplace:
AI has already been applied to highly repeatable tasks where
large quantities of observations and decisions can be analyzed for patterns.
However, applying AI to less-routine work that is more varied due to lower
repeatability will soon start yielding superior benefits. AI applied to
nonroutine work is more likely to assist humans than replace them as
combinations of humans and machines will perform more effectively than either
human experts or AI-driven machines working alone will.
By 2022, one in five
workers engaged in mostly nonroutine tasks will rely on AI to do a job.
"Using AI to auto-generate a weekly status report or
pick the top five emails in your inbox doesn't have the same wow factor as,
say, curing a disease would, which is why these near-term, practical uses go
unnoticed," said Craig Roth, research vice president at Gartner.
"Companies are just beginning to seize the opportunity to improve
nonroutine work through AI by applying it to general-purpose tools. Once
knowledge workers incorporate AI into their work processes as a virtual
secretary or intern, robo-employees will become a competitive necessity.
Leveraging technologies such as AI and robotics, retailers
will use intelligent process automation to identify, optimize and automate
labor-intensive and repetitive activities that are currently performed by
humans, reducing labor costs through efficiency from headquarters to
distribution centers and stores. Many retailers are already expanding
technology use to improve the in-store check-out process.
Through 2022,
multichannel retailer efforts to replace sales associates through AI will prove
unsuccessful, although cashier and operational jobs will be disrupted.
However, research suggests that many consumers still prefer
to interact with a knowledgeable sales associate when visiting a store,
particularly in specialized areas such as home improvement, drugstores and
cosmetics, where informed associates can make a significant impact on customer
satisfaction. Though they will reduce labor used for check-out and other
operational activities, retailers will find it difficult to eliminate
traditional sales advisers.
"Retailers will be able to make labor savings by
eliminating highly repetitive and transactional jobs, but will need to reinvest
some of those savings into training associates who can enhance the customer
experience," said Robert Hetu, research director at Gartner "As such
most retailers will come to view AI as a way to augment customer experiences
rather than just removing humans from every process."While many industries
will receive growing business value from AI, manufacturing is one that will
receive a massive share of the business value opportunity. Automation will lead
to cost savings, while the removal of friction in value chains will increase
revenue further, for example, in the optimization of supply chains and
go-to-market activities.
In 2021, AI
augmentation will generate $2.9 trillion in business value and recover 6.2
billion hours of worker productivity.
However, some industries, such as outsourcing, are seeing a
fundamental change in their business models, whereby the cost reduction from AI
and the resulting productivity improvement must be reinvested to allow
reinvention and the perusal of new business model opportunities.
"AI can take on repetitive and mundane tasks, freeing
up humans for other activities, but the symbiosis of humans with AI will be
more nuanced and will require reinvestment and reinvention instead of simply
automating existing practices," said Mike Rollings, research vice
president at Gartner. "Rather than have a machine replicating the steps
that a human performs to reach a particular judgment, the entire decision
process can be refactored to use the relative strengths and weaknesses of both
machine and human to maximize value generation and redistribute decision making
to increase agility."
Gartner clients can learn more in the report: "Predicts
2018: AI and the Future of Work." More analysis on AI is available in the
Gartner Special Report "Applying Artificial Intelligence to Drive Business
Transformation." This collection of research shows the way for
organizations to begin, right now, to make sense of the AI opportunity for
digital business and to take practical steps to realize it.