SlideShare ist ein Scribd-Unternehmen logo
1 von 47
Downloaden Sie, um offline zu lesen
Robots	
  	
  Are	
  the	
  Next	
  Blackbelts	
  
FCB	
  Webinar	
  
Bruce	
  Miyashita	
  and	
  Brad	
  Power	
  
July	
  15,	
  2015	
  
For	
  more	
  informa@on	
  go	
  to	
  fcbpartners.com	
  or	
  call	
  	
  Lindsay	
  Field	
  617	
  245	
  0265	
  
Robots	
  of	
  the	
  Dawn:	
  Automa@on,	
  Ar@ficial	
  
Intelligence,	
  and	
  What	
  It	
  Means	
  for	
  the	
  Future	
  of	
  
Work	
  
Bruce	
  Miyashita	
  
July	
  2015	
  
2	
  
Tom	
  &	
  Nancy	
  Miyashita	
  Founda3on,	
  Founder	
  (current)	
  
Miyashita	
  Advisory,	
  Consultant	
  (2012-­‐current)	
  
BMO	
  Financial	
  Group,	
  Head	
  Process	
  COE	
  (2012-­‐2015)	
  
Maple	
  Leaf	
  Foods,	
  VP	
  Six	
  Sigma	
  (1999-­‐2011)	
  
Bombardier	
  Inc.,	
  Head	
  Process	
  Excellence	
  (1997-­‐1999)	
  
McKinsey	
  &	
  Company,	
  Opera3ons	
  Consultant	
  
(1988-­‐1997)	
  
IBM,	
  Analyst	
  Human	
  Factors	
  Lab	
  (1984-­‐1988)	
  
3	
  
1	
  
2	
  
3	
  
Near-­‐term	
  (today):	
  Need	
  for	
  synthesis	
  of	
  the	
  “process”	
  and	
  the	
  
“IT”	
  spheres	
  
Medium-­‐term	
  (next	
  5	
  years):	
  transforma3ve	
  opportunity	
  to	
  
achieve	
  true	
  “lean”	
  process.	
  
Longer-­‐term	
  (Star3ng	
  now	
  and	
  for	
  next	
  genera3ons):	
  Key	
  arena	
  
for	
  re-­‐engineering	
  and	
  transforma3ve	
  thinking	
  &	
  leadership	
  is	
  
society	
  much	
  more	
  than	
  process	
  and	
  technology.	
  
4	
  
1	
  
Near-­‐term	
  (today):	
  Selec3on,	
  training,	
  development,	
  and	
  
deployment	
  of	
  process	
  excellence	
  professionals	
  urgently	
  requires	
  
a	
  increased	
  synthesis	
  of	
  the	
  “process”	
  and	
  the	
  “IT”	
  spheres.	
  
à How	
  processes	
  are	
  mapped	
  and	
  described	
  
à More	
  standardized	
  language	
  and	
  structure	
  for	
  process	
  models	
  
à Cross-­‐fer3liza3on	
  of	
  process	
  concepts	
  e.g.	
  lean	
  flow	
  and	
  SOA	
  
à Opportunity	
  to	
  iden3fy	
  core	
  process	
  know-­‐how	
  to	
  enable	
  AI	
  
5	
  
“We	
  cannot	
  simply	
  depend	
  on	
  the	
  machines	
  that	
  only	
  repeat	
  the	
  same	
  task	
  
over	
  and	
  over	
  again,”	
  Kawai	
  said.	
  “To	
  be	
  the	
  master	
  of	
  the	
  machine,	
  you	
  have	
  
to	
  have	
  the	
  knowledge	
  and	
  the	
  skills	
  to	
  teach	
  the	
  machine.”	
  
6	
  
2	
  
Medium-­‐term	
  (next	
  5	
  years):	
  Accelera3ng	
  pace	
  of	
  innova3on	
  in	
  
cloud	
  compu3ng,	
  3D	
  prin3ng,	
  AI,	
  vision	
  systems	
  etc.	
  provides	
  
transforma3ve	
  opportunity	
  to	
  achieve	
  true	
  “lean”	
  process.	
  
à Not	
  an	
  ques3on	
  of	
  “if”;	
  ingenuity	
  and	
  marketplace	
  of	
  ideas	
  
will	
  achieve	
  enormous	
  breakthroughs	
  in	
  these	
  and	
  other	
  areas	
  
à Overall,	
  these	
  are	
  posi3ve	
  and	
  opportunity	
  genera3ng	
  
developments	
  
à Opportunity	
  for	
  true	
  lean	
  flow	
  processes	
  
7	
  
8	
  
Industrial	
  Percep3on	
  Inc.	
  –	
  
spa@al	
  percep@on,	
  dexterity	
  
required	
  for	
  package	
  handling	
  
Grabit	
  Inc.	
  –	
  electrosta@c	
  handling	
  
Baxter	
  –	
  easy-­‐to-­‐program	
  
material	
  handling	
  robot	
  
9	
  
Momentum	
  Machines	
  
Inc	
  –	
  integrated,	
  
automated	
  kitchen	
  to	
  
create	
  and	
  cook	
  6	
  custom	
  
hamburgers	
  per	
  minute	
  
Nike	
  FlyKnit	
  –	
  reduc@on	
  labor,	
  material	
  
waste;	
  possibility	
  of	
  1-­‐piece	
  lean	
  flow	
  
10	
  
Kiva	
  Systems	
  (Amazon)	
  –	
  
robots	
  for	
  warehouse	
  materials	
  
movement	
  
11	
  
AVT	
  Inc	
  -­‐	
  Self-­‐serve	
  retail	
  
vending	
  machines	
  and	
  
kiosks	
  moving	
  rapidly	
  into	
  
hard	
  goods	
  (e.g.	
  
electronics)	
  -­‐	
  $1.1	
  trillion	
  
market	
  in	
  2015	
  
Perfume	
  
Selfridge’s	
  
“Love	
  
Machine”	
  
at	
  St.	
  
Mar@ns	
  
Lane	
  Hotel	
  
12	
  
Harvest	
  Automa3on	
  
(Boston)	
  –	
  robot	
  
opera@on	
  of	
  nurseries	
  
and	
  greenhouses	
  	
  
13	
  
ACFR	
  (Australian	
  Centre	
  for	
  Field	
  Robo3cs)	
  –	
  robots	
  to	
  con@nuously	
  
measure	
  soil	
  moisture	
  and	
  nutri@on	
  and	
  deliver	
  micro	
  injec@ons	
  of	
  
fluid	
  to	
  individual	
  plants	
  and	
  even	
  specific	
  fruits	
  on	
  a	
  plant	
  
14	
  
SocWare	
  Automa3on	
  
(Atlanta)	
  –	
  robots	
  able	
  to	
  sew	
  
garments	
  
15	
  
But,	
  not	
  just	
  “blue	
  collar”	
  
16	
  
17	
  
18	
  
19	
  
20	
  
21	
  
Watson	
  Medical	
  used	
  to	
  diagnose	
  illnesses	
  and	
  refine	
  pa@ent	
  
treatment	
  plans	
  
WatsonPaths	
  is	
  training	
  med	
  students	
  at	
  Cleveland	
  Clinic	
  and	
  
University	
  of	
  Texas	
  MD	
  Anderson	
  Cancer	
  Center.	
  
22	
  
23	
  
24	
  
Watson	
  crea@ng	
  personalized,	
  natural	
  language	
  sales	
  clerks	
  
Ci3group	
  working	
  with	
  Watson	
  technology	
  to	
  provide	
  personalized	
  
financial,	
  tax	
  and	
  estate	
  advice	
  
25	
  
26	
  
Replaced	
  30,000	
  business	
  analysts	
  at	
  6,000	
  clients	
  with	
  just	
  180	
  employees;	
  
“I	
  don’t	
  know	
  what	
  all	
  those	
  other	
  people	
  will	
  do	
  now,	
  but	
  this	
  isn’t	
  work	
  
they	
  can	
  do	
  anymore.	
  It’s	
  a	
  winner-­‐takes-­‐all	
  consolida3on.”	
  	
  
Roman	
  Stanek,	
  CEO	
  Good	
  Data	
  
27	
  
28	
  
29	
  
Robot	
  picks	
  
medica3ons...	
  
…prepares	
  doses…	
   …dispenses	
  bar-­‐coded	
  
packets	
  with	
  RFID	
  tags	
  
Automated	
  pharmacy	
  at	
  University	
  of	
  California	
  Medical	
  Center	
  
30	
  
3	
  
Longer-­‐term	
  (Star3ng	
  now	
  and	
  for	
  next	
  genera3ons)	
  
à We	
  should	
  leverage	
  AI	
  to	
  augment	
  our	
  capabili3es;	
  
à Yes,	
  there	
  are	
  and	
  will	
  be	
  job-­‐crea3ng	
  opportuni3es	
  
generated	
  by	
  these	
  new	
  technologies	
  (e.g.	
  designing	
  robots,	
  
building	
  new	
  AI	
  systems);	
  
à But	
  this	
  will	
  not	
  create	
  enough	
  jobs	
  to	
  sustain	
  our	
  current	
  
model	
  of	
  produc3ve	
  ci3zenship	
  and	
  consumer-­‐driven	
  
economies;	
  
à Need	
  to	
  have	
  a	
  rate	
  of	
  social	
  innova3on	
  as	
  transforma3ve	
  as	
  
technological	
  innova3on	
  
31	
  
“Our	
  device	
  isn’t	
  meant	
  to	
  make	
  employees	
  more	
  
efficient.	
  It’s	
  meant	
  to	
  completely	
  obviate	
  them."	
  
Momentum	
  Machines	
  cofounder	
  Alexandros	
  
Vardakostas	
  	
  
32	
  
Without	
  Mass	
  Employment,	
  Can	
  There	
  Be	
  
Mass	
  Consumers?	
  
John	
  Skipper	
  of	
  ESPN:	
  “ESPN	
  is	
  a	
  mass-­‐product,	
  and	
  yet	
  
that	
  service	
  could	
  eventually	
  be	
  out	
  of	
  reach	
  for	
  a	
  large	
  
frac@on	
  of	
  our	
  audience	
  if	
  chronic	
  under-­‐employment	
  
becomes	
  the	
  norm.	
  Wage	
  stagna@on	
  is	
  the	
  biggest	
  
threat	
  to	
  the	
  TV	
  business.”	
  (The	
  Atlan@c,	
  August	
  2013)	
  
Parkdale	
  Mills	
  (processes	
  60%	
  of	
  U.S.	
  cojon)	
  –	
  tex@le	
  
factory	
  in	
  Gaffney,	
  South	
  Carolina	
  –	
  requires	
  140	
  
employees	
  compared	
  to	
  2,000	
  in	
  1980	
  (NYT,	
  September	
  
2013)	
  
33	
  
Macro	
  Situa3on	
  
U.S.	
  business	
  worked	
  the	
  same	
  number	
  of	
  hours	
  in	
  2013	
  as	
  in	
  1998—
194	
  billion	
  hours	
  even	
  though	
  the	
  U.S	
  popula@on	
  gained	
  over	
  40	
  million	
  
people	
  and	
  American	
  businesses	
  produced	
  $11.8	
  trillion	
  or	
  42	
  percent	
  
more	
  output	
  in	
  2013	
  than1998.	
  
What	
  can	
  labor	
  produc@vity	
  tell	
  us	
  about	
  the	
  U.S.	
  economy?	
  
Shawn	
  Sprague	
  -­‐	
  economist	
  in	
  the	
  Office	
  of	
  Produc@vity	
  and	
  Technology,	
  U.S.	
  Bureau	
  of	
  Labor	
  Sta@s@cs	
  
1998	
   2013	
  
+42%	
  
$8,300	
  B	
  
$11,800	
  B	
  
194	
  
billion	
  
labor	
  
hours	
  
$43	
  output	
  
per	
  hour	
  
$61	
  output	
  
per	
  hour	
  
34	
  
Google	
  2014	
  
Profit:	
  $14.5	
  billion	
  
Employees:	
  53,600	
  
Profit/Employee:	
  $270,000	
  
GM	
  1979	
  	
  
Profit:	
  $11.0	
  billion	
  
(adj.	
  for	
  infla3on)	
  
Employees:	
  853,000	
  
Profit/Employee:	
  $12,900	
  
Emp	
   Profit/	
  Emp	
   Emp	
   Profit/	
  Emp	
  
$270	
  K	
  
$12.9	
  K	
  53,600	
  
853,000	
  
35	
  
Who	
  Will	
  Buy	
  Your	
  Stuff?	
  
Ford	
  execu3ve:	
  [poin3ng	
  to	
  new	
  robots	
  in	
  a	
  car	
  assembly	
  plant]	
  “Walter,	
  how	
  
are	
  you	
  going	
  to	
  get	
  these	
  robots	
  to	
  pay	
  union	
  dues?”	
  
	
  
Union	
  Head	
  Walter	
  Reuther:	
  “How	
  are	
  you	
  going	
  to	
  get	
  them	
  to	
  buy	
  your	
  cars?”	
  
36	
  
March	
  31,	
  1968	
  –	
  Na3onal	
  Cathedral,	
  
Washington	
  D.C.	
  
“Remaining	
  Awake	
  Through	
  a	
  Great	
  
Revolu3on”	
  
“It	
  is	
  a	
  triple	
  revolu3on:	
  that	
  is,	
  a	
  technological	
  
revolu3on,	
  with	
  the	
  impact	
  of	
  automa3on	
  and	
  
cyberna3on;	
  then	
  there	
  is	
  a	
  revolu3on	
  in	
  weaponry,	
  
with	
  the	
  emergence	
  of	
  atomic	
  and	
  nuclear	
  weapons	
  of	
  
warfare;	
  then	
  there	
  is	
  a	
  human	
  rights	
  revolu3on,	
  with	
  
the	
  freedom	
  explosion	
  that	
  is	
  taking	
  place	
  all	
  over	
  the	
  
world.”	
  
Reverend	
  Mar3n	
  Luther	
  King	
  Jr.	
  four	
  days	
  
before	
  his	
  assassina3on,	
  April	
  4th	
  1968	
  
37	
  
1964:	
  Ad	
  Hoc	
  Commivee	
  on	
  the	
  Triple	
  
Revolu3on	
  
Nobel	
  laureate	
  Linus	
  Pauling;	
  Nobel	
  luareate	
  
Gunnar	
  Myrdal	
  et	
  al.	
  
The	
  fundamental	
  problem	
  posed	
  by	
  the	
  cyberna@on	
  revolu@on	
  in	
  the	
  
U.S.	
  is	
  that	
  it	
  invalidates	
  the	
  general	
  mechanism	
  so	
  far	
  employed	
  to	
  
undergird	
  people’s	
  rights	
  as	
  consumers.	
  Up	
  to	
  this	
  @me	
  economic	
  
resources	
  have	
  been	
  distributed	
  on	
  the	
  basis	
  of	
  contribu@ons	
  to	
  
produc@on,	
  with	
  machines	
  and	
  men	
  compe@ng	
  for	
  employment	
  on	
  
somewhat	
  equal	
  terms.	
  Cyberna@on	
  will	
  result	
  in	
  an	
  economy	
  where	
  
poten3ally	
  unlimited	
  output	
  can	
  be	
  achieved	
  by	
  systems	
  of	
  
machines	
  which	
  will	
  require	
  lijle	
  coopera@on	
  from	
  human	
  beings.	
  
March	
  1964	
  report	
  issued	
  to	
  Congress	
  and	
  
President	
  Johnson	
  
The	
  Commijee	
  proposes	
  a	
  guaranteed	
  minimum	
  income	
  made	
  
possible	
  by	
  the	
  “economy	
  of	
  abundance”	
  and	
  which	
  would	
  take	
  the	
  
place	
  of	
  the	
  patchwork	
  of	
  welfare	
  measures	
  	
  
38	
  
The	
  Bureau	
  of	
  Labor	
  Sta3s3cs	
  	
  
	
  
PRODUCTIVITY	
  AND	
  COSTS	
  BY	
  INDUSTRY:	
  MANUFACTURING	
  INDUSTRIES	
  	
  
March	
  2012.	
  	
  
	
  
Labor	
  required	
  to	
  produce	
  a	
  unit	
  of	
  output	
  -­‐	
  declined	
  in	
  73	
  percent	
  of	
  the	
  
industries.	
  
	
  
The	
  rise	
  in	
  produc3vity	
  in	
  the	
  American	
  economy	
  is	
  more	
  closely	
  linked	
  to	
  
cyberna3on	
  then	
  when	
  it	
  was	
  first	
  detailed	
  in	
  The	
  Triple	
  Revolu3on.	
  A	
  larger	
  
propor3on	
  of	
  the	
  unemployment	
  problem	
  has	
  become,	
  as	
  predicted,	
  “structural”	
  
unemployment.	
  	
  
	
  
The	
  ascension	
  of	
  robots	
  may	
  mean	
  fewer	
  jobs	
  are	
  created	
  in	
  this	
  country,	
  even	
  
though	
  rising	
  labor	
  and	
  transporta3on	
  costs	
  in	
  Asia	
  and	
  fears	
  of	
  intellectual	
  
property	
  thec	
  are	
  now	
  bringing	
  some	
  work	
  back	
  to	
  the	
  West.	
  
39	
  
The	
  wedges	
  between	
  produc3vity	
  and	
  median	
  compensa3on	
  growth	
  
By	
  Lawrence	
  Mishel,	
  April	
  26,	
  2012	
  
40	
  
Bowley’s	
  Law	
  
Arthur	
  Bowley,	
  Bri3sh	
  economist	
  and	
  sta3s3cian	
  
Labor’s	
  share	
  of	
  investment	
  compared	
  to	
  
capital	
  (machinery)	
  had	
  remained	
  constant	
  
over	
  the	
  long	
  term	
  (Bowley’s	
  Law)…un3l	
  now	
  
41	
  
Source:	
  Federal	
  Reserve	
  Economic	
  Data	
  (FRED);	
  hjps://research.stlouisfed.org/fred2/series/PRS85006173	
   42	
  
The	
  Global	
  Decline	
  of	
  the	
  Labor	
  Share	
  	
  
Loukas	
  Karabarbounis	
  University	
  of	
  Chicago;	
  
Brent	
  Neiman	
  University	
  of	
  Chicago	
  
October	
  2013	
  
Of	
  59	
  countries	
  with	
  at	
  least	
  15	
  years	
  of	
  data	
  between	
  1975	
  
and	
  2012,	
  42	
  exhibited	
  downward	
  trends	
  in	
  their	
  labor	
  shares.	
  	
  
43	
  
44	
  
Re-­‐engineering	
  Society	
  for	
  a	
  Post-­‐
Employment	
  World	
  	
  
The	
  Basic	
  Guaranteed	
  Minimum	
  Income	
  
Friedrich	
  Hayek,	
  Nobel	
  laureate	
  economist	
  and	
  poli@cal	
  philosopher,	
  
in	
  Law,	
  Legisla+on	
  and	
  Liberty	
  (1973-­‐79)	
  
The	
  Nega3ve	
  Income	
  Tax	
  
Milton	
  Friedman	
  et	
  al	
  
Re-­‐thinking	
  meaning	
  of	
  produc3ve	
  ci3zenship	
  
Enabling	
  consump3on	
  to	
  prime	
  engine	
  of	
  economic	
  cycle	
  
Rewarding	
  non-­‐tradi3onal	
  (i.e.	
  “a	
  job”)	
  contribu3ons	
  to	
  society	
  
45	
  
46	
  ©2015	
  FCB	
  Partners.	
  All	
  rights	
  reserved.	
  
FCB	
  Courses	
  and	
  Conferences	
  
Event	
   Descrip3on	
  
Process Redesign
Hammer	
  Cer+fica+on	
  Course	
  
Boston,	
  MA	
  September	
  15-­‐18	
  
Reengineering Innovation
Advanced	
  Cer+fica+on	
  Course	
  
Boston,	
  MA	
  September	
  16-­‐18	
  
Process Owners in Action
Advanced	
  Cer+fica+on	
  Course	
  
Boston,	
  September	
  16-­‐18	
  
Power of Process
Hammer	
  Cer+fica+on	
  Course	
  
Boston,	
  MA	
  November	
  16-­‐17	
  
Leading Transformation
Hammer	
  Cer+fica+on	
  Course	
  
Boston,	
  MA	
  November	
  18-­‐20	
  
Measurement
Master	
  Class	
  
Boston,	
  MA	
  November	
  18	
  
Fast-Cycle Software
Best	
  Prac+ce	
  Conference,	
  hosted	
  by	
  Na+onwide	
  	
  
Columbus,	
  OH	
  September	
  9-­‐11	
  
For	
  more	
  informa@on	
  go	
  to	
  fcbpartners.com	
  or	
  call	
  	
  Lindsay	
  Field	
  617	
  245	
  0265	
  
47	
  ©2015	
  FCB	
  Partners.	
  All	
  rights	
  reserved.	
  
For	
  More	
  Informa3on	
  
FCB	
  Partners	
  
	
  
Lindsay	
  Field,	
  Program	
  Director	
  
617	
  245	
  0265	
  
lfield@fcbpartners.com	
  

Weitere ähnliche Inhalte

Was ist angesagt?

State of the cloud by reuven cohen
State of the cloud by reuven cohenState of the cloud by reuven cohen
State of the cloud by reuven cohen
buildacloud
 

Was ist angesagt? (20)

The Opportunity for Agile Governance
The Opportunity for Agile GovernanceThe Opportunity for Agile Governance
The Opportunity for Agile Governance
 
Enterprise AI: What's It Really Good For?
Enterprise AI: What's It Really Good For?Enterprise AI: What's It Really Good For?
Enterprise AI: What's It Really Good For?
 
Technological Unemployment
Technological UnemploymentTechnological Unemployment
Technological Unemployment
 
From Linear to Exponential Innovation Mindset
From Linear to Exponential Innovation MindsetFrom Linear to Exponential Innovation Mindset
From Linear to Exponential Innovation Mindset
 
The 10x Effect - Unlocking the Business Transforming Secrets of Exponenital
The 10x Effect - Unlocking the Business Transforming Secrets of ExponenitalThe 10x Effect - Unlocking the Business Transforming Secrets of Exponenital
The 10x Effect - Unlocking the Business Transforming Secrets of Exponenital
 
How is Artificial Intelligence changing the Manufacturing Industry?
How is Artificial Intelligence changing the Manufacturing Industry?How is Artificial Intelligence changing the Manufacturing Industry?
How is Artificial Intelligence changing the Manufacturing Industry?
 
Future of ai 20180719 v9
Future of ai 20180719 v9Future of ai 20180719 v9
Future of ai 20180719 v9
 
10 trends to watch for 2014: Trends 6 to 10
10 trends to watch for 2014: Trends 6 to 1010 trends to watch for 2014: Trends 6 to 10
10 trends to watch for 2014: Trends 6 to 10
 
The Second Machine Age
The Second Machine AgeThe Second Machine Age
The Second Machine Age
 
Towards a New Distributional Economics
Towards a New Distributional EconomicsTowards a New Distributional Economics
Towards a New Distributional Economics
 
Big Things
Big ThingsBig Things
Big Things
 
6 TIPS to SURVIVE the 2nd MACHINE AGE
6 TIPS to SURVIVE the 2nd MACHINE AGE6 TIPS to SURVIVE the 2nd MACHINE AGE
6 TIPS to SURVIVE the 2nd MACHINE AGE
 
DC10 - IBM, Kees Donker - Servitization for manufacturing - from hw and sw su...
DC10 - IBM, Kees Donker - Servitization for manufacturing - from hw and sw su...DC10 - IBM, Kees Donker - Servitization for manufacturing - from hw and sw su...
DC10 - IBM, Kees Donker - Servitization for manufacturing - from hw and sw su...
 
What's Next? Megatrends Shaping Tomorrow's Society and Rebooting Democracy
What's Next? Megatrends Shaping Tomorrow's Society and Rebooting DemocracyWhat's Next? Megatrends Shaping Tomorrow's Society and Rebooting Democracy
What's Next? Megatrends Shaping Tomorrow's Society and Rebooting Democracy
 
The Future of Finance 2016
The Future of Finance 2016The Future of Finance 2016
The Future of Finance 2016
 
Exponential organizations Teodor Panayotov 10.11.14
Exponential organizations Teodor Panayotov 10.11.14Exponential organizations Teodor Panayotov 10.11.14
Exponential organizations Teodor Panayotov 10.11.14
 
State of the cloud by reuven cohen
State of the cloud by reuven cohenState of the cloud by reuven cohen
State of the cloud by reuven cohen
 
Client X Presentation 2 july 2016
Client X Presentation 2 july 2016Client X Presentation 2 july 2016
Client X Presentation 2 july 2016
 
My Life in 2030 - Loic Le Meur
My Life in 2030 - Loic Le MeurMy Life in 2030 - Loic Le Meur
My Life in 2030 - Loic Le Meur
 
The Second Machine Age: An Industrial Revolution Powered by Digital Technologies
The Second Machine Age: An Industrial Revolution Powered by Digital TechnologiesThe Second Machine Age: An Industrial Revolution Powered by Digital Technologies
The Second Machine Age: An Industrial Revolution Powered by Digital Technologies
 

Ähnlich wie FCB Partners Webinar: Robots Are the Next Blackbelts

20210325 jim spohrer future ai v11
20210325 jim spohrer future ai v1120210325 jim spohrer future ai v11
20210325 jim spohrer future ai v11
ISSIP
 
AI and Robotics – The Impact on the Future ofJobs – The Great Debate
AI and Robotics – The Impact on the Future ofJobs – The Great DebateAI and Robotics – The Impact on the Future ofJobs – The Great Debate
AI and Robotics – The Impact on the Future ofJobs – The Great Debate
MecklerMedia
 
Types Of Service Strategies In Integrated Healthcare Systems
Types Of Service Strategies In Integrated Healthcare SystemsTypes Of Service Strategies In Integrated Healthcare Systems
Types Of Service Strategies In Integrated Healthcare Systems
Nicole Gomez
 

Ähnlich wie FCB Partners Webinar: Robots Are the Next Blackbelts (20)

Service sector jobs and cognitive systems
Service sector jobs and cognitive systemsService sector jobs and cognitive systems
Service sector jobs and cognitive systems
 
What Internet Operations Teach Us About the Future of Management
What Internet Operations Teach Us About the Future of ManagementWhat Internet Operations Teach Us About the Future of Management
What Internet Operations Teach Us About the Future of Management
 
WTF?
WTF? WTF?
WTF?
 
Robots
RobotsRobots
Robots
 
The Future of Work
The Future of WorkThe Future of Work
The Future of Work
 
The Second Machine Age - an industrial revolution powered by digital technolo...
The Second Machine Age - an industrial revolution powered by digital technolo...The Second Machine Age - an industrial revolution powered by digital technolo...
The Second Machine Age - an industrial revolution powered by digital technolo...
 
20210325 jim spohrer future ai v11
20210325 jim spohrer future ai v1120210325 jim spohrer future ai v11
20210325 jim spohrer future ai v11
 
Innovación en Quanam
Innovación en QuanamInnovación en Quanam
Innovación en Quanam
 
It's the End of the World As We Know It: A Digital Transformation Dystopian F...
It's the End of the World As We Know It: A Digital Transformation Dystopian F...It's the End of the World As We Know It: A Digital Transformation Dystopian F...
It's the End of the World As We Know It: A Digital Transformation Dystopian F...
 
20220307 utah state dixon_class v15
20220307 utah state dixon_class v1520220307 utah state dixon_class v15
20220307 utah state dixon_class v15
 
Making the ai revolution work for everyone
Making the ai revolution work for everyoneMaking the ai revolution work for everyone
Making the ai revolution work for everyone
 
AI and Robotics – The Impact on the Future ofJobs – The Great Debate
AI and Robotics – The Impact on the Future ofJobs – The Great DebateAI and Robotics – The Impact on the Future ofJobs – The Great Debate
AI and Robotics – The Impact on the Future ofJobs – The Great Debate
 
Siciety 5.0_challenges in Super Smart Society .pptx
Siciety 5.0_challenges in Super Smart Society .pptxSiciety 5.0_challenges in Super Smart Society .pptx
Siciety 5.0_challenges in Super Smart Society .pptx
 
Types Of Service Strategies In Integrated Healthcare Systems
Types Of Service Strategies In Integrated Healthcare SystemsTypes Of Service Strategies In Integrated Healthcare Systems
Types Of Service Strategies In Integrated Healthcare Systems
 
10 Most Disruptive Automation Companies to Watch 2022.pdf
10 Most Disruptive Automation Companies to Watch 2022.pdf10 Most Disruptive Automation Companies to Watch 2022.pdf
10 Most Disruptive Automation Companies to Watch 2022.pdf
 
IBM Big Data References
IBM Big Data ReferencesIBM Big Data References
IBM Big Data References
 
Automation: work, inequality, skills and jobs
Automation: work, inequality, skills and jobsAutomation: work, inequality, skills and jobs
Automation: work, inequality, skills and jobs
 
AI and The Future of the Workplace
AI and The Future of the WorkplaceAI and The Future of the Workplace
AI and The Future of the Workplace
 
KMME 2014 Douglas Weidner
KMME 2014 Douglas WeidnerKMME 2014 Douglas Weidner
KMME 2014 Douglas Weidner
 
IBM Big Data Success Stories
IBM Big Data  Success StoriesIBM Big Data  Success Stories
IBM Big Data Success Stories
 

Mehr von FCBPartners

Mehr von FCBPartners (20)

Business Analytics and Process Performance
Business Analytics and Process PerformanceBusiness Analytics and Process Performance
Business Analytics and Process Performance
 
New Asset Commissioning Process at Shell
New Asset Commissioning Process at ShellNew Asset Commissioning Process at Shell
New Asset Commissioning Process at Shell
 
Smart Work: Book Launch
Smart Work: Book LaunchSmart Work: Book Launch
Smart Work: Book Launch
 
FCB Partners Webinar: Improving the Performance Environment
FCB Partners Webinar: Improving the Performance EnvironmentFCB Partners Webinar: Improving the Performance Environment
FCB Partners Webinar: Improving the Performance Environment
 
FCB Partners Webinar: Mastering Data
FCB Partners Webinar:  Mastering DataFCB Partners Webinar:  Mastering Data
FCB Partners Webinar: Mastering Data
 
FCB Partners Webinar: Plan for Implementation - Manage Up
FCB Partners Webinar: Plan for Implementation - Manage UpFCB Partners Webinar: Plan for Implementation - Manage Up
FCB Partners Webinar: Plan for Implementation - Manage Up
 
FCB Partners Webinar: 8 Questions for Your Project Sponsor
FCB Partners Webinar: 8 Questions for Your Project SponsorFCB Partners Webinar: 8 Questions for Your Project Sponsor
FCB Partners Webinar: 8 Questions for Your Project Sponsor
 
FCB Partners Webinar: 6 Drivers of Process Performance
FCB Partners Webinar: 6 Drivers of Process PerformanceFCB Partners Webinar: 6 Drivers of Process Performance
FCB Partners Webinar: 6 Drivers of Process Performance
 
FCB Partners Webinar: Implementation and Execution
FCB Partners Webinar:  Implementation and ExecutionFCB Partners Webinar:  Implementation and Execution
FCB Partners Webinar: Implementation and Execution
 
FCB Partners Webinar: Too Many Measures
FCB Partners Webinar:  Too Many MeasuresFCB Partners Webinar:  Too Many Measures
FCB Partners Webinar: Too Many Measures
 
FCB Partners Webinar: 10 Ways to Get Buy-In
FCB Partners Webinar: 10 Ways to Get Buy-InFCB Partners Webinar: 10 Ways to Get Buy-In
FCB Partners Webinar: 10 Ways to Get Buy-In
 
FCB Partners Course Preview: Process Owners in Action
FCB Partners Course Preview:  Process Owners in ActionFCB Partners Course Preview:  Process Owners in Action
FCB Partners Course Preview: Process Owners in Action
 
FCB Partners Webinar: Digital Disciplines with Joe Weinman
FCB Partners Webinar: Digital Disciplines with Joe WeinmanFCB Partners Webinar: Digital Disciplines with Joe Weinman
FCB Partners Webinar: Digital Disciplines with Joe Weinman
 
FCB Partners Webinar: Measure What Matters
FCB Partners Webinar: Measure What Matters FCB Partners Webinar: Measure What Matters
FCB Partners Webinar: Measure What Matters
 
FCB Partners Webinar: The Story of a Process Centered Organization
FCB Partners Webinar: The Story of a Process Centered OrganizationFCB Partners Webinar: The Story of a Process Centered Organization
FCB Partners Webinar: The Story of a Process Centered Organization
 
FCB Partners Webinar: Process 2020 Intimacy Innovations around Customers
FCB Partners Webinar: Process 2020 Intimacy Innovations around CustomersFCB Partners Webinar: Process 2020 Intimacy Innovations around Customers
FCB Partners Webinar: Process 2020 Intimacy Innovations around Customers
 
FCB Partners Webinar: Process 2020: The Cutting Edge of Process Innovation
FCB Partners Webinar: Process 2020: The Cutting Edge of Process Innovation FCB Partners Webinar: Process 2020: The Cutting Edge of Process Innovation
FCB Partners Webinar: Process 2020: The Cutting Edge of Process Innovation
 
FCB Partners Course Overview: Leading Transformation
FCB Partners Course Overview: Leading TransformationFCB Partners Course Overview: Leading Transformation
FCB Partners Course Overview: Leading Transformation
 
FCB Partners Course Overview: Process Owners in Action
FCB Partners Course Overview: Process Owners in ActionFCB Partners Course Overview: Process Owners in Action
FCB Partners Course Overview: Process Owners in Action
 
FCB Partners Course Overview: Process Redesign
FCB Partners Course Overview: Process RedesignFCB Partners Course Overview: Process Redesign
FCB Partners Course Overview: Process Redesign
 

Kürzlich hochgeladen

Call Girls From Pari Chowk Greater Noida ❤️8448577510 ⊹Best Escorts Service I...
Call Girls From Pari Chowk Greater Noida ❤️8448577510 ⊹Best Escorts Service I...Call Girls From Pari Chowk Greater Noida ❤️8448577510 ⊹Best Escorts Service I...
Call Girls From Pari Chowk Greater Noida ❤️8448577510 ⊹Best Escorts Service I...
lizamodels9
 
Call Girls in Delhi, Escort Service Available 24x7 in Delhi 959961-/-3876
Call Girls in Delhi, Escort Service Available 24x7 in Delhi 959961-/-3876Call Girls in Delhi, Escort Service Available 24x7 in Delhi 959961-/-3876
Call Girls in Delhi, Escort Service Available 24x7 in Delhi 959961-/-3876
dlhescort
 
Call Girls Kengeri Satellite Town Just Call 👗 7737669865 👗 Top Class Call Gir...
Call Girls Kengeri Satellite Town Just Call 👗 7737669865 👗 Top Class Call Gir...Call Girls Kengeri Satellite Town Just Call 👗 7737669865 👗 Top Class Call Gir...
Call Girls Kengeri Satellite Town Just Call 👗 7737669865 👗 Top Class Call Gir...
amitlee9823
 
Call Girls In Majnu Ka Tilla 959961~3876 Shot 2000 Night 8000
Call Girls In Majnu Ka Tilla 959961~3876 Shot 2000 Night 8000Call Girls In Majnu Ka Tilla 959961~3876 Shot 2000 Night 8000
Call Girls In Majnu Ka Tilla 959961~3876 Shot 2000 Night 8000
dlhescort
 
Call Girls In Noida 959961⊹3876 Independent Escort Service Noida
Call Girls In Noida 959961⊹3876 Independent Escort Service NoidaCall Girls In Noida 959961⊹3876 Independent Escort Service Noida
Call Girls In Noida 959961⊹3876 Independent Escort Service Noida
dlhescort
 

Kürzlich hochgeladen (20)

PHX May 2024 Corporate Presentation Final
PHX May 2024 Corporate Presentation FinalPHX May 2024 Corporate Presentation Final
PHX May 2024 Corporate Presentation Final
 
Call Girls From Pari Chowk Greater Noida ❤️8448577510 ⊹Best Escorts Service I...
Call Girls From Pari Chowk Greater Noida ❤️8448577510 ⊹Best Escorts Service I...Call Girls From Pari Chowk Greater Noida ❤️8448577510 ⊹Best Escorts Service I...
Call Girls From Pari Chowk Greater Noida ❤️8448577510 ⊹Best Escorts Service I...
 
Falcon Invoice Discounting platform in india
Falcon Invoice Discounting platform in indiaFalcon Invoice Discounting platform in india
Falcon Invoice Discounting platform in india
 
It will be International Nurses' Day on 12 May
It will be International Nurses' Day on 12 MayIt will be International Nurses' Day on 12 May
It will be International Nurses' Day on 12 May
 
Uneak White's Personal Brand Exploration Presentation
Uneak White's Personal Brand Exploration PresentationUneak White's Personal Brand Exploration Presentation
Uneak White's Personal Brand Exploration Presentation
 
Falcon Invoice Discounting: Empowering Your Business Growth
Falcon Invoice Discounting: Empowering Your Business GrowthFalcon Invoice Discounting: Empowering Your Business Growth
Falcon Invoice Discounting: Empowering Your Business Growth
 
Famous Olympic Siblings from the 21st Century
Famous Olympic Siblings from the 21st CenturyFamous Olympic Siblings from the 21st Century
Famous Olympic Siblings from the 21st Century
 
Organizational Transformation Lead with Culture
Organizational Transformation Lead with CultureOrganizational Transformation Lead with Culture
Organizational Transformation Lead with Culture
 
JAYNAGAR CALL GIRL IN 98274*61493 ❤CALL GIRLS IN ESCORT SERVICE❤CALL GIRL
JAYNAGAR CALL GIRL IN 98274*61493 ❤CALL GIRLS IN ESCORT SERVICE❤CALL GIRLJAYNAGAR CALL GIRL IN 98274*61493 ❤CALL GIRLS IN ESCORT SERVICE❤CALL GIRL
JAYNAGAR CALL GIRL IN 98274*61493 ❤CALL GIRLS IN ESCORT SERVICE❤CALL GIRL
 
How to Get Started in Social Media for Art League City
How to Get Started in Social Media for Art League CityHow to Get Started in Social Media for Art League City
How to Get Started in Social Media for Art League City
 
Call Girls Zirakpur👧 Book Now📱7837612180 📞👉Call Girl Service In Zirakpur No A...
Call Girls Zirakpur👧 Book Now📱7837612180 📞👉Call Girl Service In Zirakpur No A...Call Girls Zirakpur👧 Book Now📱7837612180 📞👉Call Girl Service In Zirakpur No A...
Call Girls Zirakpur👧 Book Now📱7837612180 📞👉Call Girl Service In Zirakpur No A...
 
Call Girls in Delhi, Escort Service Available 24x7 in Delhi 959961-/-3876
Call Girls in Delhi, Escort Service Available 24x7 in Delhi 959961-/-3876Call Girls in Delhi, Escort Service Available 24x7 in Delhi 959961-/-3876
Call Girls in Delhi, Escort Service Available 24x7 in Delhi 959961-/-3876
 
Dr. Admir Softic_ presentation_Green Club_ENG.pdf
Dr. Admir Softic_ presentation_Green Club_ENG.pdfDr. Admir Softic_ presentation_Green Club_ENG.pdf
Dr. Admir Softic_ presentation_Green Club_ENG.pdf
 
Malegaon Call Girls Service ☎ ️82500–77686 ☎️ Enjoy 24/7 Escort Service
Malegaon Call Girls Service ☎ ️82500–77686 ☎️ Enjoy 24/7 Escort ServiceMalegaon Call Girls Service ☎ ️82500–77686 ☎️ Enjoy 24/7 Escort Service
Malegaon Call Girls Service ☎ ️82500–77686 ☎️ Enjoy 24/7 Escort Service
 
Call Girls Kengeri Satellite Town Just Call 👗 7737669865 👗 Top Class Call Gir...
Call Girls Kengeri Satellite Town Just Call 👗 7737669865 👗 Top Class Call Gir...Call Girls Kengeri Satellite Town Just Call 👗 7737669865 👗 Top Class Call Gir...
Call Girls Kengeri Satellite Town Just Call 👗 7737669865 👗 Top Class Call Gir...
 
Phases of Negotiation .pptx
 Phases of Negotiation .pptx Phases of Negotiation .pptx
Phases of Negotiation .pptx
 
Cracking the Cultural Competence Code.pptx
Cracking the Cultural Competence Code.pptxCracking the Cultural Competence Code.pptx
Cracking the Cultural Competence Code.pptx
 
(Anamika) VIP Call Girls Napur Call Now 8617697112 Napur Escorts 24x7
(Anamika) VIP Call Girls Napur Call Now 8617697112 Napur Escorts 24x7(Anamika) VIP Call Girls Napur Call Now 8617697112 Napur Escorts 24x7
(Anamika) VIP Call Girls Napur Call Now 8617697112 Napur Escorts 24x7
 
Call Girls In Majnu Ka Tilla 959961~3876 Shot 2000 Night 8000
Call Girls In Majnu Ka Tilla 959961~3876 Shot 2000 Night 8000Call Girls In Majnu Ka Tilla 959961~3876 Shot 2000 Night 8000
Call Girls In Majnu Ka Tilla 959961~3876 Shot 2000 Night 8000
 
Call Girls In Noida 959961⊹3876 Independent Escort Service Noida
Call Girls In Noida 959961⊹3876 Independent Escort Service NoidaCall Girls In Noida 959961⊹3876 Independent Escort Service Noida
Call Girls In Noida 959961⊹3876 Independent Escort Service Noida
 

FCB Partners Webinar: Robots Are the Next Blackbelts

  • 1. Robots    Are  the  Next  Blackbelts   FCB  Webinar   Bruce  Miyashita  and  Brad  Power   July  15,  2015   For  more  informa@on  go  to  fcbpartners.com  or  call    Lindsay  Field  617  245  0265  
  • 2. Robots  of  the  Dawn:  Automa@on,  Ar@ficial   Intelligence,  and  What  It  Means  for  the  Future  of   Work   Bruce  Miyashita   July  2015   2  
  • 3. Tom  &  Nancy  Miyashita  Founda3on,  Founder  (current)   Miyashita  Advisory,  Consultant  (2012-­‐current)   BMO  Financial  Group,  Head  Process  COE  (2012-­‐2015)   Maple  Leaf  Foods,  VP  Six  Sigma  (1999-­‐2011)   Bombardier  Inc.,  Head  Process  Excellence  (1997-­‐1999)   McKinsey  &  Company,  Opera3ons  Consultant   (1988-­‐1997)   IBM,  Analyst  Human  Factors  Lab  (1984-­‐1988)   3  
  • 4. 1   2   3   Near-­‐term  (today):  Need  for  synthesis  of  the  “process”  and  the   “IT”  spheres   Medium-­‐term  (next  5  years):  transforma3ve  opportunity  to   achieve  true  “lean”  process.   Longer-­‐term  (Star3ng  now  and  for  next  genera3ons):  Key  arena   for  re-­‐engineering  and  transforma3ve  thinking  &  leadership  is   society  much  more  than  process  and  technology.   4  
  • 5. 1   Near-­‐term  (today):  Selec3on,  training,  development,  and   deployment  of  process  excellence  professionals  urgently  requires   a  increased  synthesis  of  the  “process”  and  the  “IT”  spheres.   à How  processes  are  mapped  and  described   à More  standardized  language  and  structure  for  process  models   à Cross-­‐fer3liza3on  of  process  concepts  e.g.  lean  flow  and  SOA   à Opportunity  to  iden3fy  core  process  know-­‐how  to  enable  AI   5  
  • 6. “We  cannot  simply  depend  on  the  machines  that  only  repeat  the  same  task   over  and  over  again,”  Kawai  said.  “To  be  the  master  of  the  machine,  you  have   to  have  the  knowledge  and  the  skills  to  teach  the  machine.”   6  
  • 7. 2   Medium-­‐term  (next  5  years):  Accelera3ng  pace  of  innova3on  in   cloud  compu3ng,  3D  prin3ng,  AI,  vision  systems  etc.  provides   transforma3ve  opportunity  to  achieve  true  “lean”  process.   à Not  an  ques3on  of  “if”;  ingenuity  and  marketplace  of  ideas   will  achieve  enormous  breakthroughs  in  these  and  other  areas   à Overall,  these  are  posi3ve  and  opportunity  genera3ng   developments   à Opportunity  for  true  lean  flow  processes   7  
  • 9. Industrial  Percep3on  Inc.  –   spa@al  percep@on,  dexterity   required  for  package  handling   Grabit  Inc.  –  electrosta@c  handling   Baxter  –  easy-­‐to-­‐program   material  handling  robot   9  
  • 10. Momentum  Machines   Inc  –  integrated,   automated  kitchen  to   create  and  cook  6  custom   hamburgers  per  minute   Nike  FlyKnit  –  reduc@on  labor,  material   waste;  possibility  of  1-­‐piece  lean  flow   10  
  • 11. Kiva  Systems  (Amazon)  –   robots  for  warehouse  materials   movement   11  
  • 12. AVT  Inc  -­‐  Self-­‐serve  retail   vending  machines  and   kiosks  moving  rapidly  into   hard  goods  (e.g.   electronics)  -­‐  $1.1  trillion   market  in  2015   Perfume   Selfridge’s   “Love   Machine”   at  St.   Mar@ns   Lane  Hotel   12  
  • 13. Harvest  Automa3on   (Boston)  –  robot   opera@on  of  nurseries   and  greenhouses     13  
  • 14. ACFR  (Australian  Centre  for  Field  Robo3cs)  –  robots  to  con@nuously   measure  soil  moisture  and  nutri@on  and  deliver  micro  injec@ons  of   fluid  to  individual  plants  and  even  specific  fruits  on  a  plant   14  
  • 15. SocWare  Automa3on   (Atlanta)  –  robots  able  to  sew   garments   15  
  • 16. But,  not  just  “blue  collar”   16  
  • 17. 17  
  • 18. 18  
  • 19. 19  
  • 20. 20  
  • 21. 21  
  • 22. Watson  Medical  used  to  diagnose  illnesses  and  refine  pa@ent   treatment  plans   WatsonPaths  is  training  med  students  at  Cleveland  Clinic  and   University  of  Texas  MD  Anderson  Cancer  Center.   22  
  • 23. 23  
  • 24. 24  
  • 25. Watson  crea@ng  personalized,  natural  language  sales  clerks   Ci3group  working  with  Watson  technology  to  provide  personalized   financial,  tax  and  estate  advice   25  
  • 26. 26  
  • 27. Replaced  30,000  business  analysts  at  6,000  clients  with  just  180  employees;   “I  don’t  know  what  all  those  other  people  will  do  now,  but  this  isn’t  work   they  can  do  anymore.  It’s  a  winner-­‐takes-­‐all  consolida3on.”     Roman  Stanek,  CEO  Good  Data   27  
  • 28. 28  
  • 29. 29  
  • 30. Robot  picks   medica3ons...   …prepares  doses…   …dispenses  bar-­‐coded   packets  with  RFID  tags   Automated  pharmacy  at  University  of  California  Medical  Center   30  
  • 31. 3   Longer-­‐term  (Star3ng  now  and  for  next  genera3ons)   à We  should  leverage  AI  to  augment  our  capabili3es;   à Yes,  there  are  and  will  be  job-­‐crea3ng  opportuni3es   generated  by  these  new  technologies  (e.g.  designing  robots,   building  new  AI  systems);   à But  this  will  not  create  enough  jobs  to  sustain  our  current   model  of  produc3ve  ci3zenship  and  consumer-­‐driven   economies;   à Need  to  have  a  rate  of  social  innova3on  as  transforma3ve  as   technological  innova3on   31  
  • 32. “Our  device  isn’t  meant  to  make  employees  more   efficient.  It’s  meant  to  completely  obviate  them."   Momentum  Machines  cofounder  Alexandros   Vardakostas     32  
  • 33. Without  Mass  Employment,  Can  There  Be   Mass  Consumers?   John  Skipper  of  ESPN:  “ESPN  is  a  mass-­‐product,  and  yet   that  service  could  eventually  be  out  of  reach  for  a  large   frac@on  of  our  audience  if  chronic  under-­‐employment   becomes  the  norm.  Wage  stagna@on  is  the  biggest   threat  to  the  TV  business.”  (The  Atlan@c,  August  2013)   Parkdale  Mills  (processes  60%  of  U.S.  cojon)  –  tex@le   factory  in  Gaffney,  South  Carolina  –  requires  140   employees  compared  to  2,000  in  1980  (NYT,  September   2013)   33  
  • 34. Macro  Situa3on   U.S.  business  worked  the  same  number  of  hours  in  2013  as  in  1998— 194  billion  hours  even  though  the  U.S  popula@on  gained  over  40  million   people  and  American  businesses  produced  $11.8  trillion  or  42  percent   more  output  in  2013  than1998.   What  can  labor  produc@vity  tell  us  about  the  U.S.  economy?   Shawn  Sprague  -­‐  economist  in  the  Office  of  Produc@vity  and  Technology,  U.S.  Bureau  of  Labor  Sta@s@cs   1998   2013   +42%   $8,300  B   $11,800  B   194   billion   labor   hours   $43  output   per  hour   $61  output   per  hour   34  
  • 35. Google  2014   Profit:  $14.5  billion   Employees:  53,600   Profit/Employee:  $270,000   GM  1979     Profit:  $11.0  billion   (adj.  for  infla3on)   Employees:  853,000   Profit/Employee:  $12,900   Emp   Profit/  Emp   Emp   Profit/  Emp   $270  K   $12.9  K  53,600   853,000   35  
  • 36. Who  Will  Buy  Your  Stuff?   Ford  execu3ve:  [poin3ng  to  new  robots  in  a  car  assembly  plant]  “Walter,  how   are  you  going  to  get  these  robots  to  pay  union  dues?”     Union  Head  Walter  Reuther:  “How  are  you  going  to  get  them  to  buy  your  cars?”   36  
  • 37. March  31,  1968  –  Na3onal  Cathedral,   Washington  D.C.   “Remaining  Awake  Through  a  Great   Revolu3on”   “It  is  a  triple  revolu3on:  that  is,  a  technological   revolu3on,  with  the  impact  of  automa3on  and   cyberna3on;  then  there  is  a  revolu3on  in  weaponry,   with  the  emergence  of  atomic  and  nuclear  weapons  of   warfare;  then  there  is  a  human  rights  revolu3on,  with   the  freedom  explosion  that  is  taking  place  all  over  the   world.”   Reverend  Mar3n  Luther  King  Jr.  four  days   before  his  assassina3on,  April  4th  1968   37  
  • 38. 1964:  Ad  Hoc  Commivee  on  the  Triple   Revolu3on   Nobel  laureate  Linus  Pauling;  Nobel  luareate   Gunnar  Myrdal  et  al.   The  fundamental  problem  posed  by  the  cyberna@on  revolu@on  in  the   U.S.  is  that  it  invalidates  the  general  mechanism  so  far  employed  to   undergird  people’s  rights  as  consumers.  Up  to  this  @me  economic   resources  have  been  distributed  on  the  basis  of  contribu@ons  to   produc@on,  with  machines  and  men  compe@ng  for  employment  on   somewhat  equal  terms.  Cyberna@on  will  result  in  an  economy  where   poten3ally  unlimited  output  can  be  achieved  by  systems  of   machines  which  will  require  lijle  coopera@on  from  human  beings.   March  1964  report  issued  to  Congress  and   President  Johnson   The  Commijee  proposes  a  guaranteed  minimum  income  made   possible  by  the  “economy  of  abundance”  and  which  would  take  the   place  of  the  patchwork  of  welfare  measures     38  
  • 39. The  Bureau  of  Labor  Sta3s3cs       PRODUCTIVITY  AND  COSTS  BY  INDUSTRY:  MANUFACTURING  INDUSTRIES     March  2012.       Labor  required  to  produce  a  unit  of  output  -­‐  declined  in  73  percent  of  the   industries.     The  rise  in  produc3vity  in  the  American  economy  is  more  closely  linked  to   cyberna3on  then  when  it  was  first  detailed  in  The  Triple  Revolu3on.  A  larger   propor3on  of  the  unemployment  problem  has  become,  as  predicted,  “structural”   unemployment.       The  ascension  of  robots  may  mean  fewer  jobs  are  created  in  this  country,  even   though  rising  labor  and  transporta3on  costs  in  Asia  and  fears  of  intellectual   property  thec  are  now  bringing  some  work  back  to  the  West.   39  
  • 40. The  wedges  between  produc3vity  and  median  compensa3on  growth   By  Lawrence  Mishel,  April  26,  2012   40  
  • 41. Bowley’s  Law   Arthur  Bowley,  Bri3sh  economist  and  sta3s3cian   Labor’s  share  of  investment  compared  to   capital  (machinery)  had  remained  constant   over  the  long  term  (Bowley’s  Law)…un3l  now   41  
  • 42. Source:  Federal  Reserve  Economic  Data  (FRED);  hjps://research.stlouisfed.org/fred2/series/PRS85006173   42  
  • 43. The  Global  Decline  of  the  Labor  Share     Loukas  Karabarbounis  University  of  Chicago;   Brent  Neiman  University  of  Chicago   October  2013   Of  59  countries  with  at  least  15  years  of  data  between  1975   and  2012,  42  exhibited  downward  trends  in  their  labor  shares.     43  
  • 44. 44  
  • 45. Re-­‐engineering  Society  for  a  Post-­‐ Employment  World     The  Basic  Guaranteed  Minimum  Income   Friedrich  Hayek,  Nobel  laureate  economist  and  poli@cal  philosopher,   in  Law,  Legisla+on  and  Liberty  (1973-­‐79)   The  Nega3ve  Income  Tax   Milton  Friedman  et  al   Re-­‐thinking  meaning  of  produc3ve  ci3zenship   Enabling  consump3on  to  prime  engine  of  economic  cycle   Rewarding  non-­‐tradi3onal  (i.e.  “a  job”)  contribu3ons  to  society   45  
  • 46. 46  ©2015  FCB  Partners.  All  rights  reserved.   FCB  Courses  and  Conferences   Event   Descrip3on   Process Redesign Hammer  Cer+fica+on  Course   Boston,  MA  September  15-­‐18   Reengineering Innovation Advanced  Cer+fica+on  Course   Boston,  MA  September  16-­‐18   Process Owners in Action Advanced  Cer+fica+on  Course   Boston,  September  16-­‐18   Power of Process Hammer  Cer+fica+on  Course   Boston,  MA  November  16-­‐17   Leading Transformation Hammer  Cer+fica+on  Course   Boston,  MA  November  18-­‐20   Measurement Master  Class   Boston,  MA  November  18   Fast-Cycle Software Best  Prac+ce  Conference,  hosted  by  Na+onwide     Columbus,  OH  September  9-­‐11   For  more  informa@on  go  to  fcbpartners.com  or  call    Lindsay  Field  617  245  0265  
  • 47. 47  ©2015  FCB  Partners.  All  rights  reserved.   For  More  Informa3on   FCB  Partners     Lindsay  Field,  Program  Director   617  245  0265   lfield@fcbpartners.com