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RESEARCH, ANALYSIS & TRENDS


























             AI’s impact on the workforce of the


             future is no different from previous


             industrial revolutions



            PwC  examined  in  a  new  report  the  impacts  of  three    In the third Autonomy  wave, which could come to
            overlapping  waves  of  automation  -  the  algorithm,   maturity  by  the  mid-2030s,  AI  will  increasingly  be
            augmentation and autonomy wave.                         able  to  analyze  data  from  multiple  sources,  make
                                                                    decisions and take physical actions with little or no
            The  research  analyzed  the  tasks  and  skills  involved  in   human  input.  Fully  autonomous  driverless  vehicles
            the jobs of over 200,000 workers across 29 countries in   could  roll  out  at  scale  across  the  economy  in  this
            order  to  assess  the  potential  impact  of  automation  on   phase, for example.
            workers  in  different  industry  sectors  and  of  different
            genders, ages and education levels.                  The  estimated  proportion  of  existing  jobs  with  high
                                                                 potential  automation  rates  by  the  mid-2030s  varies
            On average across the 29 countries covered, the share  significantly  by  country,  ranging  from  only  around  20-
            of jobs at potential high risk of automation is estimated to  25%  in  some  East  Asian  and  Nordic  economies  with
            be only around 3% by the early 2020s, but this rises to  relatively high average education levels, to over 40% in
            almost 20% by the late 2020s, and around 30% by the  Eastern   European   economies   where   industrial
            mid-2030s.                                           production, which tends to be easier to automate, still
                                                                 accounts  for  a  relatively  high  share  of  total
            The  study  suggests  that  more  women  could  initially  be   employment.  Countries  like  the  UK  and  the  US,  with
            impacted  by  the  rise  of  automation,  whereas  men  are   services-dominated economies but also relatively  long
            more likely to feel the effects in the third wave by the mid  ‘tails’  of  lower  skilled  workers,  tend  to  have
            -2030s  (see  table  below).  This  is  due  to  the  types  of   intermediate potential automation rates.
            tasks  that  are  more  susceptible  to  automation  and  the
            current gender profiles of employment by sector.     “AI will have dramatic implications on the workforce of
                                                                 the  future,  this  is  no  different  to  previous  industrial
              The  Algorithm  wave  is  already  well  underway  and  revolutions. As we look to the future, skills training will
               involves  automating  structured  data  analysis  and  shift from hard skills such as more technical know-how
               simple digital tasks, such as credit scoring. This wave  to  softer  skills  such  as  relational  and  problem-solving
               of  innovation  could  come  to  maturity  by  the  early  skills”, Mark Jansen, Data and Analytics Leader, PwC
               2020s.                                            Singapore said.
              The  Augmentation  wave  is  also  already  underway   The estimated share of existing jobs with potential high
               but  likely  to  come  to  full  maturity  later  in  the   rates  of  automation  by  the  mid-2030s  varies  widely
               2020s.The  augmentation  wave  is  focused  on    across  industry  sectors,  from  a  median  across
               automation  of  repeatable  tasks  and  exchanging   countries of 52% for transportation and storage to just
               information, as well as further developments of aerial   8% for the education sector.◊
               drones, robots in warehouses and semi-autonomous
               vehicles.

      8            February 2018 - Artificial Intelligence (A.I.) in Marketing
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