How  good  are  you  working  with  intelligent  machines?    

Victoria  G.  Axelrod    

Organiza(on  strategist  

•   people  wrangler  •   author  •   educator,  and    •   former  senior  execu(ve    

•   Speakers            on  mute.  •   Par(cipate  •   Have  fun  

PresenterScribe  Producer  Facilitator  

Intro  Poll  Discussion  Eval.  Survey  

5  min.  

Raise  your  awareness  on  the  impact  of  technology  on  the  future  of  your  work.  

Grove  Consul(ng  Templates  

“Are  you  good  at  working  with  intelligent  machines  or  not?  Are  your  skills  a  complement  to  the  skills  of  the  computer,  or  is  the  computer  doing  beMer  without  you?”  

Overview  -­‐    Key  Points  

Social  DisrupCon    -­‐  Some  data/research  •   how  work  gets  done  within  companies    •   loss  of  jobs/ac(vi(es  and  changing  nature  of  work  •   augmented  rather  than  fully  replaced  

 Systems  Thinking  and  IntenConal  Networks  –  ExplanaCon  and  Examples  •   enhanced  decision  making  •   become  informed  and  engaged  in  use  or  understanding  of  network  analysis  at  scale  (individual,  group/project,  organiza(onal)  as  automa(on  transforms  work.  

Ethics  •   social  research  without  our  knowledge  

Oxford  University  report  2011  and  McKinsey  research    

Key  findings  Oxford:  

•     47%  of  all  US  jobs  were  at  risk  from  automa(on  

Key  findings  McKinsey:  

•     Less  than  5%  of  of  jobs  can  be  fully  automated  

•     Below  the  job  or  occupa(on  level  to  work  ac(vi(es  45%  of  work  is  automatable  by  current  technologies.  Included  were  high  wage,  high  skilled  jobs.  

hMp://bits.blogs.ny(mes.com/2015/11/06/automa(on-­‐will-­‐change-­‐jobs-­‐more-­‐than-­‐kill-­‐them/?_r=0  

…  while  sophis(cated  algorithms  and  developments  in  Mobile  Robo(cs  (MR),  building  upon  with  big  data,  now  allow  many  non-­‐rou(ne  tasks  to  be  auto-­‐mated,  occupa(ons  that  involve    complex  percep(on  and  manipula(on  tasks,  crea(ve  intelligence  tasks,  and  social  intelligence  tasks  are  unlikely  to  be  subs(tuted  by  computer  capital  over  the  next  decade  or  two.    The  probability  of  an  occupa(on  being  automated  can  thus  be  described  as  a  func(on  of  these  task  characteris(cs  …  

hMp://www.oxfordmar(n.ox.ac.uk/downloads/academic/The_Future_of_Employment.pdf  

More  specifically,  our  research  suggests  that  as  many  as  45  percent  of  the  ac(vi(es  individuals  are  paid  to  perform  can  be  automated  by  adap(ng  currently  demonstrated  technologies.4  In  the  United  States,  these  ac(vi(es  represent  about  $2  trillion  in  annual  wages.  Although  we  ofen  think  of  automa(on  primarily  affec(ng  low-­‐skill,  low-­‐wage  roles,  we  discovered  that  even  the  highest-­‐paid  occupa(ons  in  the  economy,  such  as  financial  managers,  physicians,  and  senior  execu(ves,  including  CEOs,  have  a  significant  amount  of  ac(vity  that  can  be  automated.  

The  Four  Fundamentals:  

1.  Automa(on  of  ac(vi(es  2.  Redefini(on  of  jobs  and  

business  ac(vi(es  3.  Impact  on  high-­‐wage  

occupa(ons  4.  Future  of  crea(vity  –  4%  and  meaning  –  29%  (emo(on)  

We  will  stop  now  for  some  discussion  in  your  small  groups.  

Answer  this  Q.  

What  part  of  your  job  do  you  believe  is  the  easiest  to  automate?  

Thank  You!  

Victoria  G.  Axelrod    Principal,  Axelrod  Becker  Consul(ng  445  East  86th  Street  New  York,  NY  10028  212-­‐369-­‐2885  vaxelrod@axelrodbecker.com  www.axelrodbecker.com    Blog:  21st  Century  Organiza(on  hMp://c21org.typepad.com