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21‐22 April 2015Hotel Okura, Amsterdam© 2015 Crain Communications Inc. All rights reserved.
Concurrent Session: Innovation“Where we’re going we don’t need roads” The Transformation of the Workforce through Artificial Intelligence
Facilitator: John Nurthen, Executive Director, Global Research, Staffing Industry Analysts
Speaker: Bruce Morton, Global Head of Innovation, Allegis Global Solutions
TUESDAY 14:30‐15:30 HEIAN
Sponsored by:
21‐22 April 2015Hotel Okura, Amsterdam© 2015 Crain Communications Inc. All rights reserved.
Rate this session by accessing the evaluation from your Conference Mobile Community OR tap the iPad screen as you exit.
DIGITAL SURVEYS
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“Where we’re going we don’t need roads” The Transformation of the Workforce through Artificial Intelligence
‘Where we’re going, we don’t need roads’
Bruce MortonHead of Innovation
MSP 104 current programmes
Contingent workforce solutions, Services
Procurement and Payroll
RPO 54 current programmes
Scalable recruitment solutions supporting company wide
requirements
Advisory Services Workforce optimisation, talent
acquisition strategy development, human capital
consulting and business analytics
The transformation of the workforce through
Artificial Intelligence
“Once we get rid of the dude in the car, UBER
will be cheaper”
Travis KalanickCEO, UBER
Robotics and Artificial Intelligence will permeate wide segments of daily life by 2025 with huge implications…
*Pew Research Internet Project
Robotic Process AutomationA capability that business users can use to quickly and inexpensively develop custom robots to automate back office business processes and build a virtual workforce
Optimised for automating business processes that are:
‐ Structured, repeatable, screen based tasks ‐ Costly for existing workforce to perform ‐ Problematic due to being error prone, inconsistent or having fluctuating
volumes ‐ Requiring automation more urgently than the existing strategy for change can
deliver
The process utilises the existing application presentation layer providing:
‐ Fast automation of existing processes ‐ Use of existing IT controls, governance and security
*Blue Prism
In the coming years the disruption will be felt by more people in more places, for four reasons…
The rise of Artificial Intelligence means more workers will see their
jobs threatened
The first computer…
The 10 jobs in danger of being digitalised
*Erik Brynjolfsson co‐author of Race Against the Machine
Telemarketers
Underwriters
Account Clerks
Title Searchers
Library Technicians
Data Entry Clerks
Maths Technicians
Tax Preparers
Insurance Appraisers
Umpires
Wealth creation in the digital era has so far generated little employment
0
100
200
300
400
1953 1963 1973 1983 1993 2003 2013
Real GDPMedian Household Income
700
600
500
400
300
200
100
0
US Productivity, GDP, Employment and Income
10 8 6 4 2 0 0 2 4 6 8 10
85+
75‐84
65‐64
55‐64
45‐54
35‐44
25‐34
16‐24
0‐15
US Population and Labor Force 1950
Labor Force
AgeMillions Millions
Male Female
Population
30 25 20 15 10 5 0 0 5 10 15 20 25 30
85+
75‐84
65‐64
55‐64
45‐54
35‐44
25‐34
16‐24
0‐15
Labor Force
AgeMillions Millions
Male Female
Population
US Population and Labor Force 2000
40 35 30 25 20 15 10 5 0 0 5 10 15 20 25 30 35 40
85+
75‐84
65‐64
55‐64
45‐54
35‐44
25‐34
16‐24
0‐15
Labor Force
AgeMillions Millions
Male Female
Population
US Population and Labor Force 2050
Entrepreneurs can turn their ideas into firms with
huge valuations and hardly any staff
Increased technology adoption will create
wider skill and income disparities
Changes in Wages for Full‐TimeUS Workers
‐0.1
0
0.1
0.2
0.3
0.4
0.5
0.6
1963 1968 1973 1978 1983 1988 1993 1998 2003 2008
High School Diploma
College Graduate
Some College
High School Graduate
Graduate School
0
50
100
150
200
2501945
1950
1955
1960
1965
1970
1975
1980
1985
1990
1995
2000
2005
2010
Cumulative % change since 1948
Hourly Compensation
Productivity
Total % change since 1970
0
50
100
150
200
250
300
350
400
4501970
1972
1974
1976
1978
1980
1982
1984
1986
1988
1990
1992
1994
1996
1998
2000
2002
2004
2006
Average Wage Income
Corporate Profits
Median Executive Income
‘
Reasons to be concerned
Impacts from automation have thus far impacted mostly blue‐collar employment; the coming wave of innovation threatens to upend white‐collar work as well.
Certain highly‐skilled workers will succeed wildly in this new environment but far more may be displaced into lower paying service industry jobs at best, or permanent unemployment at worst.
Our educational system is not adequately preparing us for work of the future, and our political and economic institutions are poorly equipped to handle these hard choices.
‘
Reasons to be hopeful
Advances in technology may displace certain types of work, but historically they have been a net creator of jobs.
We will adapt to these changes by inventing entirely new types of work, and by taking advantage of uniquely human capabilities.
Technology will free us from day‐to‐day drudgery, and allow us to define our relationship with work in a more positive and socially beneficial way.
Ultimately, we as a society control our own destiny through the choices we make.
Bruce MortonHead of Innovation
21‐22 April 2015Hotel Okura, Amsterdam© 2015 Crain Communications Inc. All rights reserved.
Rate this session by accessing the evaluation from your Conference Mobile Community OR tap the iPad screen as you exit.
DIGITAL SURVEYS
Don’t forget to provide feedback
“Where we’re going we don’t need roads” The Transformation of the Workforce through Artificial Intelligence
