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The human use of human beings
Navigating a world beyond employment
The fear is old
June 29, 1955,
Punch Magazine.
AI (1960s)
AI (1990s)
AI (Now)
ENIAC (1946)
The AI “Winters”
The story so far
State of playCognitiveAutomation
Time
Now
Recognition intelligence
Cognitive Intelligence
General Intelligence
(?)
Enablers of work automation
Robotic Process
Automation
Cognitive
automation
Social Robotics
TASKS Routine,
High-volume
Non-routine,
creative
Routine,
collaborative
MATURITY HIGH EMERGING MEDIUM
IMPACT MEDIUM HIGH HIGH
The end of work?
Source: WTW Research, March 2016
$123,000
$20,000
Automating the marketing analyst
The automation of jobs
Source: The Future of Employment, by C. Frey and M. Osborne
47%
of jobs will be
fully-
automated in
the next 10
years
Automating tasks (not jobs)
9%
of jobs will be
fully-automated
Source: Arntz, M., T. Gregory and U. Zierahn (2016), “The Risk of Automation for Jobs in
OECD Countries: A Comparative Analysis”, OECD Social, Employment and Migration Working
Papers, No. 189, OECD Publishing, Paris.
The change is on
2nd Industrial
Revolution
“The assembly
line”
Features:
 Underpinning for
Coase’s theory of
the firm
 Companies as
social institutions
 Organization of
work into jobs
 Jobs as careers
3rd Industrial
Revolution
“Nikefication”
Features:
 Technology
enablement and the
web
 Companies as the
nexus of contracts
 Streamlining of jobs
to enable outsourcing
4th Industrial
Revolution
“Uberization”
Features:
 Mobile, sensors, AI and
machine learning
 Companies as
platforms
 Disaggregation of work
into activities
 Talent on demand
1900s 1960s-1990s 2000s-
The 5 Forces of Change
Source: CHREATE Consortium
Social &
Organizational
reconfiguration
A truly
connected
world
All inclusive,
global talent
market
Human &
machine
collaboration
Exponential
pattern of
technology
change
1
2
3
4
5
• Work Automation (RPA, CA, Social Robotics)
• Blockchains
• 3D printing
• IoT
Technological Empowerment
• Short term
• Agile
• Skills-based
• Networks
• Platforms
Democratization of Work
Possible futures
LOW
DemocratizationofWork
Technological Empowerment
HIGH
HIGH
LOW
Work
Reimagined
“UBER”
Empowered
Current
State
Today
turbo-charged
1 2
34
Source: CHREATE Consortium
A shared economy for talent
Company
A
Company
B
Company
C
Company
D
Shared talent platform
AI-enabled
IT
HR
CS
Transformed jobs: Medicine
Proficiency role (now)
Pivotal role (future)
Employee Performance Employee Performance
PatientSatisfaction
PatientSatisfaction
AI - Enabled
As cognitive automation replaces diagnostics doctors (a “proficiency role”) can
spend more time with patients, and becoming a “pivotal role” in healthcare systems
Future-proofing
Transforming business with work automation
Source: “Lead the Work” by R. Jesuthasan, J. Bourdeau, D. Creelman
Assignment
Organisation
Rewards
• Self-contained
• Unlinked
• Exclusive
• Stable
• Deconstructed Tasks
• Dispersed
• Project-bound
• Constructed Jobs
• Anchored
• Employment-Bound
• Long-Term
• Collective and
consistent
• Traditional
• Permeable
• Interlinked
• Collaborative
• Flexible
• Short-term
• Individualised and
Differentiated
• Imaginative
AI enabled
Thank you, and…
@zarkadakis

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George zarkadakis The human use of human beings Navigating a world beyond employment

  • 1. The human use of human beings Navigating a world beyond employment
  • 2. The fear is old June 29, 1955, Punch Magazine.
  • 3. AI (1960s) AI (1990s) AI (Now) ENIAC (1946) The AI “Winters” The story so far
  • 4. State of playCognitiveAutomation Time Now Recognition intelligence Cognitive Intelligence General Intelligence (?)
  • 5. Enablers of work automation Robotic Process Automation Cognitive automation Social Robotics TASKS Routine, High-volume Non-routine, creative Routine, collaborative MATURITY HIGH EMERGING MEDIUM IMPACT MEDIUM HIGH HIGH
  • 6. The end of work?
  • 7. Source: WTW Research, March 2016 $123,000 $20,000 Automating the marketing analyst
  • 8. The automation of jobs Source: The Future of Employment, by C. Frey and M. Osborne 47% of jobs will be fully- automated in the next 10 years
  • 9. Automating tasks (not jobs) 9% of jobs will be fully-automated Source: Arntz, M., T. Gregory and U. Zierahn (2016), “The Risk of Automation for Jobs in OECD Countries: A Comparative Analysis”, OECD Social, Employment and Migration Working Papers, No. 189, OECD Publishing, Paris.
  • 10. The change is on 2nd Industrial Revolution “The assembly line” Features:  Underpinning for Coase’s theory of the firm  Companies as social institutions  Organization of work into jobs  Jobs as careers 3rd Industrial Revolution “Nikefication” Features:  Technology enablement and the web  Companies as the nexus of contracts  Streamlining of jobs to enable outsourcing 4th Industrial Revolution “Uberization” Features:  Mobile, sensors, AI and machine learning  Companies as platforms  Disaggregation of work into activities  Talent on demand 1900s 1960s-1990s 2000s-
  • 11. The 5 Forces of Change Source: CHREATE Consortium Social & Organizational reconfiguration A truly connected world All inclusive, global talent market Human & machine collaboration Exponential pattern of technology change 1 2 3 4 5 • Work Automation (RPA, CA, Social Robotics) • Blockchains • 3D printing • IoT Technological Empowerment • Short term • Agile • Skills-based • Networks • Platforms Democratization of Work
  • 13. A shared economy for talent Company A Company B Company C Company D Shared talent platform AI-enabled IT HR CS
  • 14. Transformed jobs: Medicine Proficiency role (now) Pivotal role (future) Employee Performance Employee Performance PatientSatisfaction PatientSatisfaction AI - Enabled As cognitive automation replaces diagnostics doctors (a “proficiency role”) can spend more time with patients, and becoming a “pivotal role” in healthcare systems
  • 16. Transforming business with work automation Source: “Lead the Work” by R. Jesuthasan, J. Bourdeau, D. Creelman Assignment Organisation Rewards • Self-contained • Unlinked • Exclusive • Stable • Deconstructed Tasks • Dispersed • Project-bound • Constructed Jobs • Anchored • Employment-Bound • Long-Term • Collective and consistent • Traditional • Permeable • Interlinked • Collaborative • Flexible • Short-term • Individualised and Differentiated • Imaginative AI enabled

Editor's Notes

  1. If Robots replace our brawn while AI replace our brain what is there left for us to do?
  2. By 2025 online talent platforms could boost global GDP by $2.7 trillion (McKinsey); improved productivity, greater employment, higher labor participation. The gig economy foreshadows what is to come in the future: easier to find something to do, and get a better life/work balance BUT less security
  3. Ontario, Utrecht, Finland: experimenting with universal income (or basic income)
  4. Ontario, Utrecht, Finland: experimenting with universal income (or basic income)
  5. Ontario, Utrecht, Finland: experimenting with universal income (or basic income)
  6. Ontario, Utrecht, Finland: experimenting with universal income (or basic income)
  7. Managing human talent