Don't think
a robot could take your job? A study in the latest issue of McKinsey Quarterly
says as many as 45 percent of the tasks that Americans get paid to do could be
automated. The share rises to 58 percent if computers get as good as the median
human being at speech recognition and understanding.
The study differs from earlier ones on
automation by focusing on activities, not occupations. Any given occupation,
from landscaper to chief executive officer, involves a set of activities, some
of which can be automated and some of which can't, the authors say. "Very
few occupations will be automated in their entirety in the near or medium
term," they write. "Rather, certain activities are more likely to be
automated."
Automation, in other words, will transform
occupations, with machines taking over what they do best and people doing more
of what they do best, the study says. That sounds like an opportunity for
McKinsey & Co., whose consultants presumably would be happy to help
companies restructure jobs. The report was written by Michael Chui, a principal
at the McKinsey Global Institute, the consulting firm's think tank; James
Manyika, a director of the institute; and Mehdi Miremadi, a principal in
McKinsey's Chicago office.
When Chui went to his Stanford University
reunion recently and talked about his findings, he said, "some friends
from my freshman dorm reminded me that I was voted the person most likely to be
replaced by a robot of his own making."
Automation isn't all about cutting costs; it
can also be about improving quality and performing tasks at
"superhuman" levels, the article says. About 60 percent of
occupations could have 30 percent or more of their constituent activities
automated, the study calculates. Even some highly paid jobs present
opportunities: "We estimate that activities consuming more than 20 percent
of a CEO’s working time could be automated using current technologies."
Of course, just because an activity can be
automated doesn't mean it will be. "There’s a lot of organizational
inertia," Chui said. "It does take a lot of investment."
Πηγή: bloomberg.com
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