SlideShare a Scribd company logo
1 of 34
Download to read offline
11/18/2014 
1 
9:00 AM - 10:00 AM 
Innovation Overload – Technology, Jobs and the Future 
Room: Meeting Room 3 
Speaker: David Smith 
This is not your grandfather’s job market where one could work and retire from one company after 40 
years. Your father and your company have probably not fared that well either. The fast pace of 
technology change and productivity improvements, in an increasingly competitive market, have 
forced companies to change their strategy, frequently upgrade and improve their products or 
services, and adjust their workforce. Downsizing, outsourcing, automation, financial pressures, 
short-term demands, and failed strategy all contribute to the challenges. 
The pace of technology innovation is increasing so fast that many have a hard time choosing where 
to focus and how to discover what is new. Most delay action and then miss the window to innovate. 
The growth of complex systems and a global infrastructure has changed the decision and education 
process. The ability to adapt to real-time and continuous learning will provide an advantage for 
professionals of the future. A future focus and focused innovation will drive the next generations of 
products and services. 
This talk explores the future of work and how it impacts companies and you. 
Technology, Jobs and the Future 
David Smith
11/18/2014 
2 
Work 
“No other technique for the conduct of life 
attaches the individual so firmly to reality as 
laying emphasis on work: 
For work at least gives one a secure place in 
a portion of reality, in the human community.” 
Sigmund Freud 
The product of work contributes to health, well-being and 
economic & social stability. 
Changes to the Future of Work
11/18/2014 
3
11/18/2014 
4
11/18/2014 
5
11/18/2014 
6
11/18/2014 
7 
Growing Shortage of U.S. Workers 
Expected Labor Force and Labor Force Demand 
Millions of People 
250 
200 
150 
100 
50 
Source: Employment Policy Foundation analysis and 
projections of Census/BLS and BEA data. 
0 
2002 
2004 
2006 
2008 
2010 
2012 
2014 
2016 
2018 
2020 
2022 
2024 
2026 
2028 
2030 
Labor Needed 
Labor Available 
Female Labor Force Participation 
(as a Percent of the Female Population Age 15+), 
1990-2011
11/18/2014 
8 
Screeching to a Halt: 
Growth in the Working-Age Population 
200% 
150% 
100% 
50% 
0% 
Source: Deloitte Research/UN Population Division (http://esa.un.org/unpp/) It’s 2008: Do You Know Where Your Talent Is? 
Why Acquisition and Retention Strategies Don’t Work, p.6 
-50% 
Mexico Brazil India China South Australia Canada US Netherlands Spain France UK Russia Italy Japan Germany 
Korea 
1970-2010 
2010-2050
11/18/2014 
9 
Dramatically Different Patterns of Growth 
by Age 
Percent Growth in U.S. Population by Age: 2000-2010 
5% 5% 
-9% 
18% 
48% 
15% 
80% 
60% 
40% 
20% 
0% 
-20% 
16-24 25-34 35-44 45-54 55-64 65+ 
Age of Workers 
1. Declining number of mid-career workers 
2. Few younger 
workers entering 
3. Rapid growth in the over-55 workforce 
Source: U.S. Census Bureau 
. . . Continuing Into the Future 
Percent Growth in U.S. Workforce by Age: 2000-2020 
7% 8% 7% 
-10% 
Age of Workers 
3% 
73% 
54% 
80% 
60% 
40% 
20% 
0% 
-20% 
under 14 15-24 25-34 35-44 45-55 55-64 65+ 
Source: U.S. Census Bureau
11/18/2014 
10 
In 2000, A Fairly “Young” World . . . 
Under 5% 5% to 12.4% 12.5% to 20% Above 20% 
Percent of Population Age 60+ in 2000 
Source: U.S. Census Bureau 
. . . Rapidly Aging by 2025 
Under 5% 5% to 12.4% 12.5% to 20% Above 20% 
Percent of Population Age 60+ in 2025 
Source: U.S. Census Bureau
11/18/2014 
11 
Why? Dramatic Increase in 
Life Expectancy 
Average Life Expectancy at Birth in the U.S. 
1900 1910 1920 1930 1940 1950 1960 1970 1980 1990 2000 
80 
75 
70 
65 
60 
55 
50 
45 
40 
Source: U.S. Social Security Administration 
“Sudden” Boom in Life Expectancy 
Life Expectancy at Birth: 1000 - 2000 
Age 
80 
70 
60 
50 
40 
30 
20 
10 
Source: U.S. Census Bureau, 2000 
76.5 
47 
38 
35 36 
30 
25 
0 
1000 1200 1400 1600 1800 1900 2000
11/18/2014 
12 
And a Dramatic Drop in Birth Rates 
Total Fertility Rate 
7 
6 
5 
4 
3 
2 
1 
Source: Age Wave 
Total Fertility Rate: 
3.3 
2.8 2.9 
3.6 
2.0 
1960 2000 
2.5 2.5 
4.0 
5.9 
2.0 
1.7 1.7 1.6 1.4 1.3 1.2 
1.8 
3.1 
0 
US UK France Canada Japan Germany Italy China India 
Why? The Baby Boom Pattern 
4.5 
4.0 
3.5 
Millions 
3.0 
in Birth 2.5 
2.0 The Boom Years: 1946-1964 
1930 1940 1950 1960 1970 1980 1990 
Source: U.S. Census Bureau International Data Base
11/18/2014 
13 
Skill Mismatch Ahead in the U.S. 
 Over the next decade, only 30% of US 20 year/olds will obtain a 
college degree, but 2/3’s of new jobs will require a college degree 
 Key skill sets will be in critically short supply: 
- # students that declared their major in computer science has 
declined for past 4 years—now 39% lower than in 2000 
- Other shortages: engineering, physical & biological sciences 
 A growing number of high school dropouts 
 Fewer high school graduates with vocational training 
 Labor “imports” decreasing due to security restrictions and 
opportunities in rapidly developing countries 
Source: In part, The Seventh-Annual Workplace Report, Challenges Facing the American Workplace, Summary of Findings,” Employment Policy Foundation, 
2002; India Daily, October 12, 2005, citing McKinsey & Co. Research; Computing Research Association, March 2005; Information Week, August 16, 2004; Holding 
on to Global Talent: Foreign-born stars are heading home. How to keep them working for you” by Anne Fisher, Fortune Magazine, 
October 19, 2005. Organization for Economic Co-operation and Development 
When I was growing up, my parents 
used to say to me, "Tom, finish your 
dinner. People in China and India are 
starving." 
Today I tell my girls, "Finish your 
homework. People in China and India 
are starving for your jobs." 
Source: “The New York Times' Thomas Friedman on 
Globalization,” CIO Magazine, March 25, 2005 
—Thomas 
Friedman, The 
World is Flat
11/18/2014 
14 
U.S. 21st Century Workforce Challenges 
Chronologically older 
Limited availability 
Key skills lacking 
Global & Virtual 
Diverse 
- Race 
- Gender 
- Age Generations 
- Culture 
Source: Testimony by Tamara J. Erickson to the U.S. Senate Committee on 
Health, Education, Labor and Pensions, May 2005 
“Multi-Generational” Workforce 
Traditionalist Boomer Generation X Generation Y 
Born: 1928-1945 Born: 1946-1964 Born: 1965-1980 Born: 1980-2000 
Four generations (cultures) are being asked to coexist in the 
early 21st century workplace 
Source: Based in part on “Meeting the Challenges of 
Tomorrow's Workplace,” CEO Magazine, 2005
11/18/2014 
15 
Webster's Definition of Retirement 
• to disappear 
• to go away 
• to withdraw 
Source: Webster's New Twentieth Century Dictionary 
Average Retirement Age of Males 
68 1960 1995 
66 
64.5 
59.2 
France 
65.2 
60.5 
64.5 
60.6 
Source: Center for Strategic and International Studies 
66.2 
62.3 
66.2 
62.7 
66.5 
63.6 
67.2 
Germany Italy Canada UK US Japan 
64 
62 
60 
58 
56 
66.5
11/18/2014 
16 
Falling Desire for Jobs 
with Greater Responsibility 
69% 
41% 
Source: Generation & Gender in the Workplace, An Issue Brief by Families and Work Institute 
14% 
60% 
54% 
31% 
1992 
2002 
15% 
80% 
Under 23 years old 
(Gen-Y in 2002) 
23-37 years old 
(Gen-X in 2002) 
38-57 years old 
(Boomers in 2002) 
58 or more years old 
Declining Desire for Jobs with Greater 
Responsibility By Gender 
Employees Wanting Jobs with Greater Responsibility 
52% 
68% 
Men 
1992 2002 
Source: Generation & Gender in the Workplace, An Issue Brief by Families and Work Institute 
36% 
57% 
Women 
1992 2002
11/18/2014 
17 
Lower Alignment with the Organization 
45 
39 
32 
48 44 
28 
57 
52 
35 
65 61 
53 
70 
60 
50 
40 
30 
20 
10 
0 
I really care about the fate 
of this organization 
(agree) 
I’m willing to put in effort 
beyond that normally 
expected to help the 
organization be 
successful (agree) 
I find my values and the 
organization’s are similar 
(agree) 
Y X Boomer Traditionalist 
Source: The New Employee/Employer Equation, The Concours Group and Age Wave, 2004
11/18/2014 
18 
Shifting the Old Work/Life Paradigm . . . 
0 10 20 30 40 50 60 70 80 
Education Work Leisure 
Age 
Source: Demography is De$tiny, 
The Concours Group and Age Wave, 2003 
0 10 20 30 40 50 60 70 
Age 
Education Work Leisure 
80 
. . . To a “Cyclic” Life Paradigm 
Source: Demography is De$tiny, 
The Concours Group and Age Wave, 2003
11/18/2014 
19 
0 10 20 30 40 50 60 70 
Age 
Education Work Leisure 
80 
. . . Evolving to a “Blended Lifestyle” 
Source: Demography is Destiny, 
The Concours Group and Age Wave, 2003 
Cutting Back Has New Meaning: Cyclic 
Work 
12% 
39% 
49% 
Working full-time Working part-time Moving back and forth 
between working full-time 
and not working 
The most popular pattern for 
working after “retirement” is 
not part-time, but moving 
back and forth between 
periods of working and not 
working. 
Source: The New Employee/Employer Equation, The Concours Group and Age Wave, 2004
11/18/2014 
20 
Cutting Back Has New Meaning: Cyclic 
Work 
12% 
39% 
49% 
Working full-time Working part-time Moving back and forth 
between working full-time 
and not working 
The most popular pattern for 
working after “retirement” is 
not part-time, but moving 
back and forth between 
periods of working and not 
working. 
Source: The New Employee/Employer Equation, The Concours Group and Age Wave, 2004
11/18/2014 
21
11/18/2014 
22 
Copyright, 2011 © HBMG, Inc. 
The Limits of Technology 
 The laws of physics 
 The laws of software 
 The challenge of algorithms 
 The difficulty of distribution 
 The problems of design 
 The importance of organization 
 The impact of economics 
 The influence of politics 
 The limits of human imagination 
Fundamental 
Human 
The Open Economy 
• New business models 
based on collaboration, co-creation 
& sharing 
• Transparency as a normal 
practice 
• Conversations (two way 
communication) 
• Open interfaces to partners, 
vendors, suppliers, 
customers 
• Common technology and 
business standards 
• Service and Experience 
Mentality
11/18/2014 
23 
Impact of Lifestyle on Health and Work 
100% 
HEALTH 
0% 
0 10 20 30 40 50 60 70 80 90 
AGE 
Ideal Lifeline 
Typical Lifeline 
Optimal Health 
Declining Health 
Poor Health 
Progressive and 
chronic disability 
What is healthy aging in the 21st century? Westendorp RGJ Am J Clin Nut, Vol. 83, No. 2, 404S-409 (2006)
11/18/2014 
24 
Copyright 2012@ HBMG Inc. 
Copyright 2012@ HBMG Inc.
11/18/2014 
25
11/18/2014 
26
11/18/2014 
27
11/18/2014 
28
11/18/2014 
29
11/18/2014 
30
11/18/2014 
31
11/18/2014 
32
11/18/2014 
33
11/18/2014 
34 
The reward for work well 
done is the opportunity to 
do more. 
- Jonas Salk (1914 - 1995) 
In Parting: Be Paranoid 
“Sooner or later, something 
fundamental in your business 
world will change.” 
⎯Andrew S. Grove, Founder, Intel 
“Only the Paranoid Survive”

More Related Content

What's hot

O'Reilly eBook: Creating a Data-Driven Enterprise in Media | eubolr
O'Reilly eBook: Creating a Data-Driven Enterprise in Media | eubolrO'Reilly eBook: Creating a Data-Driven Enterprise in Media | eubolr
O'Reilly eBook: Creating a Data-Driven Enterprise in Media | eubolrVasu S
 
White paper: The Past, Present and Future of Information Management
White paper: The Past, Present and Future of Information ManagementWhite paper: The Past, Present and Future of Information Management
White paper: The Past, Present and Future of Information ManagementLexisNexis Benelux
 
Dark data by Worapol Alex Pongpech
Dark data by Worapol Alex PongpechDark data by Worapol Alex Pongpech
Dark data by Worapol Alex PongpechBAINIDA
 
Big data's impact on online marketing
Big data's impact on online marketingBig data's impact on online marketing
Big data's impact on online marketingPros Global Inc
 
Lessons Learned The Hard Way: 32+ Data Science Interviews
Lessons Learned The Hard Way: 32+ Data Science InterviewsLessons Learned The Hard Way: 32+ Data Science Interviews
Lessons Learned The Hard Way: 32+ Data Science InterviewsGregory Kamradt
 
Big data 2 4 - big-social-predicting-behavior-with-big-data
Big data 2 4 - big-social-predicting-behavior-with-big-dataBig data 2 4 - big-social-predicting-behavior-with-big-data
Big data 2 4 - big-social-predicting-behavior-with-big-dataRick Bouter
 
Sogeti on big data creating clarity
Sogeti on big data creating claritySogeti on big data creating clarity
Sogeti on big data creating clarityYann SESE
 
Science in the context of journals, Open, and the future
Science in the context of journals, Open, and the futureScience in the context of journals, Open, and the future
Science in the context of journals, Open, and the futureBenjamin Laken
 
Webinar: Top 5 Challenges of Life Sciences Companies
Webinar: Top 5 Challenges of Life Sciences CompaniesWebinar: Top 5 Challenges of Life Sciences Companies
Webinar: Top 5 Challenges of Life Sciences CompaniesAlexandra Sasha Tchulkova
 
Whitepaper: Know Your Big Data – in 10 Minutes! - Happiest Minds
Whitepaper: Know Your Big Data – in 10 Minutes! - Happiest MindsWhitepaper: Know Your Big Data – in 10 Minutes! - Happiest Minds
Whitepaper: Know Your Big Data – in 10 Minutes! - Happiest MindsHappiest Minds Technologies
 
Vint big data research privacy technology and the law
Vint big data research privacy technology and the lawVint big data research privacy technology and the law
Vint big data research privacy technology and the lawKarlos Svoboda
 
Big data 4 4 the art of the possible 4-en-web
Big data 4 4 the art of the possible 4-en-webBig data 4 4 the art of the possible 4-en-web
Big data 4 4 the art of the possible 4-en-webRick Bouter
 
Platform 3.0 Ripe to Give Standard Access to Advanced Intelligence and Automa...
Platform 3.0 Ripe to Give Standard Access to Advanced Intelligence and Automa...Platform 3.0 Ripe to Give Standard Access to Advanced Intelligence and Automa...
Platform 3.0 Ripe to Give Standard Access to Advanced Intelligence and Automa...Dana Gardner
 
white-paper-its-data-qualitys-world-en-na-f01
white-paper-its-data-qualitys-world-en-na-f01white-paper-its-data-qualitys-world-en-na-f01
white-paper-its-data-qualitys-world-en-na-f01Elizabeth (Liz) Whalen
 
Founding a Data Democracy: How Ivy Tech is Leading a Revolution in Higher Edu...
Founding a Data Democracy: How Ivy Tech is Leading a Revolution in Higher Edu...Founding a Data Democracy: How Ivy Tech is Leading a Revolution in Higher Edu...
Founding a Data Democracy: How Ivy Tech is Leading a Revolution in Higher Edu...Brendan Aldrich
 
Total learning keynote: The future of learning and work
Total learning keynote: The future of learning and workTotal learning keynote: The future of learning and work
Total learning keynote: The future of learning and workBrightwave Group
 
Fostering Innovation, Integration and Inclusion through Interdisciplinary Pra...
Fostering Innovation, Integration and Inclusion through Interdisciplinary Pra...Fostering Innovation, Integration and Inclusion through Interdisciplinary Pra...
Fostering Innovation, Integration and Inclusion through Interdisciplinary Pra...ijtsrd
 

What's hot (20)

Measuring What Matters: Meaningful Metrics
Measuring What Matters: Meaningful MetricsMeasuring What Matters: Meaningful Metrics
Measuring What Matters: Meaningful Metrics
 
Women On The Leading Edge
Women On The Leading Edge Women On The Leading Edge
Women On The Leading Edge
 
Misceb intro2014
Misceb intro2014Misceb intro2014
Misceb intro2014
 
O'Reilly eBook: Creating a Data-Driven Enterprise in Media | eubolr
O'Reilly eBook: Creating a Data-Driven Enterprise in Media | eubolrO'Reilly eBook: Creating a Data-Driven Enterprise in Media | eubolr
O'Reilly eBook: Creating a Data-Driven Enterprise in Media | eubolr
 
White paper: The Past, Present and Future of Information Management
White paper: The Past, Present and Future of Information ManagementWhite paper: The Past, Present and Future of Information Management
White paper: The Past, Present and Future of Information Management
 
Dark data by Worapol Alex Pongpech
Dark data by Worapol Alex PongpechDark data by Worapol Alex Pongpech
Dark data by Worapol Alex Pongpech
 
Big data's impact on online marketing
Big data's impact on online marketingBig data's impact on online marketing
Big data's impact on online marketing
 
Lessons Learned The Hard Way: 32+ Data Science Interviews
Lessons Learned The Hard Way: 32+ Data Science InterviewsLessons Learned The Hard Way: 32+ Data Science Interviews
Lessons Learned The Hard Way: 32+ Data Science Interviews
 
Big data 2 4 - big-social-predicting-behavior-with-big-data
Big data 2 4 - big-social-predicting-behavior-with-big-dataBig data 2 4 - big-social-predicting-behavior-with-big-data
Big data 2 4 - big-social-predicting-behavior-with-big-data
 
Sogeti on big data creating clarity
Sogeti on big data creating claritySogeti on big data creating clarity
Sogeti on big data creating clarity
 
Science in the context of journals, Open, and the future
Science in the context of journals, Open, and the futureScience in the context of journals, Open, and the future
Science in the context of journals, Open, and the future
 
Webinar: Top 5 Challenges of Life Sciences Companies
Webinar: Top 5 Challenges of Life Sciences CompaniesWebinar: Top 5 Challenges of Life Sciences Companies
Webinar: Top 5 Challenges of Life Sciences Companies
 
Whitepaper: Know Your Big Data – in 10 Minutes! - Happiest Minds
Whitepaper: Know Your Big Data – in 10 Minutes! - Happiest MindsWhitepaper: Know Your Big Data – in 10 Minutes! - Happiest Minds
Whitepaper: Know Your Big Data – in 10 Minutes! - Happiest Minds
 
Vint big data research privacy technology and the law
Vint big data research privacy technology and the lawVint big data research privacy technology and the law
Vint big data research privacy technology and the law
 
Big data 4 4 the art of the possible 4-en-web
Big data 4 4 the art of the possible 4-en-webBig data 4 4 the art of the possible 4-en-web
Big data 4 4 the art of the possible 4-en-web
 
Platform 3.0 Ripe to Give Standard Access to Advanced Intelligence and Automa...
Platform 3.0 Ripe to Give Standard Access to Advanced Intelligence and Automa...Platform 3.0 Ripe to Give Standard Access to Advanced Intelligence and Automa...
Platform 3.0 Ripe to Give Standard Access to Advanced Intelligence and Automa...
 
white-paper-its-data-qualitys-world-en-na-f01
white-paper-its-data-qualitys-world-en-na-f01white-paper-its-data-qualitys-world-en-na-f01
white-paper-its-data-qualitys-world-en-na-f01
 
Founding a Data Democracy: How Ivy Tech is Leading a Revolution in Higher Edu...
Founding a Data Democracy: How Ivy Tech is Leading a Revolution in Higher Edu...Founding a Data Democracy: How Ivy Tech is Leading a Revolution in Higher Edu...
Founding a Data Democracy: How Ivy Tech is Leading a Revolution in Higher Edu...
 
Total learning keynote: The future of learning and work
Total learning keynote: The future of learning and workTotal learning keynote: The future of learning and work
Total learning keynote: The future of learning and work
 
Fostering Innovation, Integration and Inclusion through Interdisciplinary Pra...
Fostering Innovation, Integration and Inclusion through Interdisciplinary Pra...Fostering Innovation, Integration and Inclusion through Interdisciplinary Pra...
Fostering Innovation, Integration and Inclusion through Interdisciplinary Pra...
 

Similar to Innovation Overload – Technology, Jobs and the Future

Innovation Overload – Technology, Jobs and the Future
Innovation Overload – Technology, Jobs and the FutureInnovation Overload – Technology, Jobs and the Future
Innovation Overload – Technology, Jobs and the FutureInnoTech
 
The Future of Work
The Future of WorkThe Future of Work
The Future of WorkInnoTech
 
Innovation Overload - Technology, Jobs and the Future
Innovation Overload - Technology, Jobs and the FutureInnovation Overload - Technology, Jobs and the Future
Innovation Overload - Technology, Jobs and the FutureInnoTech
 
Love the one youre with slide deck 061813
Love the one youre with slide deck 061813Love the one youre with slide deck 061813
Love the one youre with slide deck 061813Scott Davis
 
Workforce Crisis (Revised) 2008
Workforce Crisis (Revised) 2008Workforce Crisis (Revised) 2008
Workforce Crisis (Revised) 2008David Dennard
 
Factors Affecting Labor Availability
Factors Affecting Labor AvailabilityFactors Affecting Labor Availability
Factors Affecting Labor AvailabilityPenn State University
 
Cool Uniforms and Flying Cars: The Evolving Workforce and the Challenge to ...
Cool Uniforms and Flying Cars: The Evolving Workforce and the Challenge to ...Cool Uniforms and Flying Cars: The Evolving Workforce and the Challenge to ...
Cool Uniforms and Flying Cars: The Evolving Workforce and the Challenge to ...Bill Wooten
 
2008 Syngenta Gen Y (Final)
2008 Syngenta Gen Y (Final)2008 Syngenta Gen Y (Final)
2008 Syngenta Gen Y (Final)Steve Drake
 
Generations in the Workplace and the future of work
Generations in the Workplace and the future of workGenerations in the Workplace and the future of work
Generations in the Workplace and the future of workAndiSittiHajrahYusuf
 
Tomorrow's Knowledge Workers: The Evolving Workforce and the Challenge to US ...
Tomorrow's Knowledge Workers: The Evolving Workforce and the Challenge to US ...Tomorrow's Knowledge Workers: The Evolving Workforce and the Challenge to US ...
Tomorrow's Knowledge Workers: The Evolving Workforce and the Challenge to US ...Mary Walker
 
Changing Workforce
Changing WorkforceChanging Workforce
Changing Workforcebeneflexsb
 
Mismatch: Adapting Old-World Career Models to the New-World Workforce
Mismatch: Adapting Old-World Career Models to the New-World WorkforceMismatch: Adapting Old-World Career Models to the New-World Workforce
Mismatch: Adapting Old-World Career Models to the New-World WorkforceCognizant
 
Where is Everyone? Breaking Down the Talent Shortage Myth & the Great Resigna...
Where is Everyone? Breaking Down the Talent Shortage Myth & the Great Resigna...Where is Everyone? Breaking Down the Talent Shortage Myth & the Great Resigna...
Where is Everyone? Breaking Down the Talent Shortage Myth & the Great Resigna...Aggregage
 
June19th2013 terryiversontestimony
June19th2013 terryiversontestimonyJune19th2013 terryiversontestimony
June19th2013 terryiversontestimonyh_albrecht
 
Love the one youre with slide deck pmi houston 061213
Love the one youre with slide deck pmi houston 061213Love the one youre with slide deck pmi houston 061213
Love the one youre with slide deck pmi houston 061213Scott Davis
 
Attracting Future Leaders : Lessons for the Kool-Aid Kids from the Red Bull C...
Attracting Future Leaders : Lessons for the Kool-Aid Kids from the Red Bull C...Attracting Future Leaders : Lessons for the Kool-Aid Kids from the Red Bull C...
Attracting Future Leaders : Lessons for the Kool-Aid Kids from the Red Bull C...Suresh Parmachand
 
Best IT Training and Certification Resources
Best IT Training and Certification ResourcesBest IT Training and Certification Resources
Best IT Training and Certification ResourcesTestbells
 
Emerging leaders summit 2018 gino borromeo
Emerging leaders summit 2018 gino borromeoEmerging leaders summit 2018 gino borromeo
Emerging leaders summit 2018 gino borromeoSalt & Light Ventures
 

Similar to Innovation Overload – Technology, Jobs and the Future (20)

Innovation Overload – Technology, Jobs and the Future
Innovation Overload – Technology, Jobs and the FutureInnovation Overload – Technology, Jobs and the Future
Innovation Overload – Technology, Jobs and the Future
 
The Future of Work
The Future of WorkThe Future of Work
The Future of Work
 
Innovation Overload - Technology, Jobs and the Future
Innovation Overload - Technology, Jobs and the FutureInnovation Overload - Technology, Jobs and the Future
Innovation Overload - Technology, Jobs and the Future
 
Love the one youre with slide deck 061813
Love the one youre with slide deck 061813Love the one youre with slide deck 061813
Love the one youre with slide deck 061813
 
Workforce Crisis (Revised) 2008
Workforce Crisis (Revised) 2008Workforce Crisis (Revised) 2008
Workforce Crisis (Revised) 2008
 
Factors Affecting Labor Availability
Factors Affecting Labor AvailabilityFactors Affecting Labor Availability
Factors Affecting Labor Availability
 
Millennial Learning V2
Millennial Learning V2Millennial Learning V2
Millennial Learning V2
 
Cool Uniforms and Flying Cars: The Evolving Workforce and the Challenge to ...
Cool Uniforms and Flying Cars: The Evolving Workforce and the Challenge to ...Cool Uniforms and Flying Cars: The Evolving Workforce and the Challenge to ...
Cool Uniforms and Flying Cars: The Evolving Workforce and the Challenge to ...
 
2008 Syngenta Gen Y (Final)
2008 Syngenta Gen Y (Final)2008 Syngenta Gen Y (Final)
2008 Syngenta Gen Y (Final)
 
Generations in the Workplace and the future of work
Generations in the Workplace and the future of workGenerations in the Workplace and the future of work
Generations in the Workplace and the future of work
 
Tomorrow's Knowledge Workers: The Evolving Workforce and the Challenge to US ...
Tomorrow's Knowledge Workers: The Evolving Workforce and the Challenge to US ...Tomorrow's Knowledge Workers: The Evolving Workforce and the Challenge to US ...
Tomorrow's Knowledge Workers: The Evolving Workforce and the Challenge to US ...
 
Changing Workforce
Changing WorkforceChanging Workforce
Changing Workforce
 
Mismatch: Adapting Old-World Career Models to the New-World Workforce
Mismatch: Adapting Old-World Career Models to the New-World WorkforceMismatch: Adapting Old-World Career Models to the New-World Workforce
Mismatch: Adapting Old-World Career Models to the New-World Workforce
 
Where is Everyone? Breaking Down the Talent Shortage Myth & the Great Resigna...
Where is Everyone? Breaking Down the Talent Shortage Myth & the Great Resigna...Where is Everyone? Breaking Down the Talent Shortage Myth & the Great Resigna...
Where is Everyone? Breaking Down the Talent Shortage Myth & the Great Resigna...
 
June19th2013 terryiversontestimony
June19th2013 terryiversontestimonyJune19th2013 terryiversontestimony
June19th2013 terryiversontestimony
 
Love the one youre with slide deck pmi houston 061213
Love the one youre with slide deck pmi houston 061213Love the one youre with slide deck pmi houston 061213
Love the one youre with slide deck pmi houston 061213
 
Attracting Future Leaders : Lessons for the Kool-Aid Kids from the Red Bull C...
Attracting Future Leaders : Lessons for the Kool-Aid Kids from the Red Bull C...Attracting Future Leaders : Lessons for the Kool-Aid Kids from the Red Bull C...
Attracting Future Leaders : Lessons for the Kool-Aid Kids from the Red Bull C...
 
Attracting And Retaining Talent By Tom Stellman 2007
Attracting And Retaining Talent   By Tom Stellman 2007Attracting And Retaining Talent   By Tom Stellman 2007
Attracting And Retaining Talent By Tom Stellman 2007
 
Best IT Training and Certification Resources
Best IT Training and Certification ResourcesBest IT Training and Certification Resources
Best IT Training and Certification Resources
 
Emerging leaders summit 2018 gino borromeo
Emerging leaders summit 2018 gino borromeoEmerging leaders summit 2018 gino borromeo
Emerging leaders summit 2018 gino borromeo
 

More from InnoTech

"So you want to raise funding and build a team?"
"So you want to raise funding and build a team?""So you want to raise funding and build a team?"
"So you want to raise funding and build a team?"InnoTech
 
Artificial Intelligence is Maturing
Artificial Intelligence is MaturingArtificial Intelligence is Maturing
Artificial Intelligence is MaturingInnoTech
 
What is AI without Data?
What is AI without Data?What is AI without Data?
What is AI without Data?InnoTech
 
Courageous Leadership - When it Matters Most
Courageous Leadership - When it Matters MostCourageous Leadership - When it Matters Most
Courageous Leadership - When it Matters MostInnoTech
 
The Gathering Storm
The Gathering StormThe Gathering Storm
The Gathering StormInnoTech
 
Sql Server tips from the field
Sql Server tips from the fieldSql Server tips from the field
Sql Server tips from the fieldInnoTech
 
Quantum Computing and its security implications
Quantum Computing and its security implicationsQuantum Computing and its security implications
Quantum Computing and its security implicationsInnoTech
 
Converged Infrastructure
Converged InfrastructureConverged Infrastructure
Converged InfrastructureInnoTech
 
Making the most out of collaboration with Office 365
Making the most out of collaboration with Office 365Making the most out of collaboration with Office 365
Making the most out of collaboration with Office 365InnoTech
 
Blockchain use cases and case studies
Blockchain use cases and case studiesBlockchain use cases and case studies
Blockchain use cases and case studiesInnoTech
 
Blockchain: Exploring the Fundamentals and Promising Potential
Blockchain: Exploring the Fundamentals and Promising Potential Blockchain: Exploring the Fundamentals and Promising Potential
Blockchain: Exploring the Fundamentals and Promising Potential InnoTech
 
Business leaders are engaging labor differently - Is your IT ready?
Business leaders are engaging labor differently - Is your IT ready?Business leaders are engaging labor differently - Is your IT ready?
Business leaders are engaging labor differently - Is your IT ready?InnoTech
 
AI 3.0: Is it Finally Time for Artificial Intelligence and Sensor Networks to...
AI 3.0: Is it Finally Time for Artificial Intelligence and Sensor Networks to...AI 3.0: Is it Finally Time for Artificial Intelligence and Sensor Networks to...
AI 3.0: Is it Finally Time for Artificial Intelligence and Sensor Networks to...InnoTech
 
Using Business Intelligence to Bring Your Data to Life
Using Business Intelligence to Bring Your Data to LifeUsing Business Intelligence to Bring Your Data to Life
Using Business Intelligence to Bring Your Data to LifeInnoTech
 
User requirements is a fallacy
User requirements is a fallacyUser requirements is a fallacy
User requirements is a fallacyInnoTech
 
What I Wish I Knew Before I Signed that Contract - San Antonio
What I Wish I Knew Before I Signed that Contract - San Antonio What I Wish I Knew Before I Signed that Contract - San Antonio
What I Wish I Knew Before I Signed that Contract - San Antonio InnoTech
 
Disaster Recovery Plan - Quorum
Disaster Recovery Plan - QuorumDisaster Recovery Plan - Quorum
Disaster Recovery Plan - QuorumInnoTech
 
Share point saturday access services 2015 final 2
Share point saturday access services 2015 final 2Share point saturday access services 2015 final 2
Share point saturday access services 2015 final 2InnoTech
 
Sp tech festdallas - office 365 groups - planner session
Sp tech festdallas - office 365 groups - planner sessionSp tech festdallas - office 365 groups - planner session
Sp tech festdallas - office 365 groups - planner sessionInnoTech
 
Power apps presentation
Power apps presentationPower apps presentation
Power apps presentationInnoTech
 

More from InnoTech (20)

"So you want to raise funding and build a team?"
"So you want to raise funding and build a team?""So you want to raise funding and build a team?"
"So you want to raise funding and build a team?"
 
Artificial Intelligence is Maturing
Artificial Intelligence is MaturingArtificial Intelligence is Maturing
Artificial Intelligence is Maturing
 
What is AI without Data?
What is AI without Data?What is AI without Data?
What is AI without Data?
 
Courageous Leadership - When it Matters Most
Courageous Leadership - When it Matters MostCourageous Leadership - When it Matters Most
Courageous Leadership - When it Matters Most
 
The Gathering Storm
The Gathering StormThe Gathering Storm
The Gathering Storm
 
Sql Server tips from the field
Sql Server tips from the fieldSql Server tips from the field
Sql Server tips from the field
 
Quantum Computing and its security implications
Quantum Computing and its security implicationsQuantum Computing and its security implications
Quantum Computing and its security implications
 
Converged Infrastructure
Converged InfrastructureConverged Infrastructure
Converged Infrastructure
 
Making the most out of collaboration with Office 365
Making the most out of collaboration with Office 365Making the most out of collaboration with Office 365
Making the most out of collaboration with Office 365
 
Blockchain use cases and case studies
Blockchain use cases and case studiesBlockchain use cases and case studies
Blockchain use cases and case studies
 
Blockchain: Exploring the Fundamentals and Promising Potential
Blockchain: Exploring the Fundamentals and Promising Potential Blockchain: Exploring the Fundamentals and Promising Potential
Blockchain: Exploring the Fundamentals and Promising Potential
 
Business leaders are engaging labor differently - Is your IT ready?
Business leaders are engaging labor differently - Is your IT ready?Business leaders are engaging labor differently - Is your IT ready?
Business leaders are engaging labor differently - Is your IT ready?
 
AI 3.0: Is it Finally Time for Artificial Intelligence and Sensor Networks to...
AI 3.0: Is it Finally Time for Artificial Intelligence and Sensor Networks to...AI 3.0: Is it Finally Time for Artificial Intelligence and Sensor Networks to...
AI 3.0: Is it Finally Time for Artificial Intelligence and Sensor Networks to...
 
Using Business Intelligence to Bring Your Data to Life
Using Business Intelligence to Bring Your Data to LifeUsing Business Intelligence to Bring Your Data to Life
Using Business Intelligence to Bring Your Data to Life
 
User requirements is a fallacy
User requirements is a fallacyUser requirements is a fallacy
User requirements is a fallacy
 
What I Wish I Knew Before I Signed that Contract - San Antonio
What I Wish I Knew Before I Signed that Contract - San Antonio What I Wish I Knew Before I Signed that Contract - San Antonio
What I Wish I Knew Before I Signed that Contract - San Antonio
 
Disaster Recovery Plan - Quorum
Disaster Recovery Plan - QuorumDisaster Recovery Plan - Quorum
Disaster Recovery Plan - Quorum
 
Share point saturday access services 2015 final 2
Share point saturday access services 2015 final 2Share point saturday access services 2015 final 2
Share point saturday access services 2015 final 2
 
Sp tech festdallas - office 365 groups - planner session
Sp tech festdallas - office 365 groups - planner sessionSp tech festdallas - office 365 groups - planner session
Sp tech festdallas - office 365 groups - planner session
 
Power apps presentation
Power apps presentationPower apps presentation
Power apps presentation
 

Recently uploaded

Factors to Consider When Choosing Accounts Payable Services Providers.pptx
Factors to Consider When Choosing Accounts Payable Services Providers.pptxFactors to Consider When Choosing Accounts Payable Services Providers.pptx
Factors to Consider When Choosing Accounts Payable Services Providers.pptxKatpro Technologies
 
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptxEIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptxEarley Information Science
 
Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024The Digital Insurer
 
Scaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organizationScaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organizationRadu Cotescu
 
The Codex of Business Writing Software for Real-World Solutions 2.pptx
The Codex of Business Writing Software for Real-World Solutions 2.pptxThe Codex of Business Writing Software for Real-World Solutions 2.pptx
The Codex of Business Writing Software for Real-World Solutions 2.pptxMalak Abu Hammad
 
Salesforce Community Group Quito, Salesforce 101
Salesforce Community Group Quito, Salesforce 101Salesforce Community Group Quito, Salesforce 101
Salesforce Community Group Quito, Salesforce 101Paola De la Torre
 
08448380779 Call Girls In Civil Lines Women Seeking Men
08448380779 Call Girls In Civil Lines Women Seeking Men08448380779 Call Girls In Civil Lines Women Seeking Men
08448380779 Call Girls In Civil Lines Women Seeking MenDelhi Call girls
 
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...apidays
 
IAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI SolutionsIAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI SolutionsEnterprise Knowledge
 
How to convert PDF to text with Nanonets
How to convert PDF to text with NanonetsHow to convert PDF to text with Nanonets
How to convert PDF to text with Nanonetsnaman860154
 
Developing An App To Navigate The Roads of Brazil
Developing An App To Navigate The Roads of BrazilDeveloping An App To Navigate The Roads of Brazil
Developing An App To Navigate The Roads of BrazilV3cube
 
Partners Life - Insurer Innovation Award 2024
Partners Life - Insurer Innovation Award 2024Partners Life - Insurer Innovation Award 2024
Partners Life - Insurer Innovation Award 2024The Digital Insurer
 
CNv6 Instructor Chapter 6 Quality of Service
CNv6 Instructor Chapter 6 Quality of ServiceCNv6 Instructor Chapter 6 Quality of Service
CNv6 Instructor Chapter 6 Quality of Servicegiselly40
 
TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law DevelopmentsTrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law DevelopmentsTrustArc
 
🐬 The future of MySQL is Postgres 🐘
🐬  The future of MySQL is Postgres   🐘🐬  The future of MySQL is Postgres   🐘
🐬 The future of MySQL is Postgres 🐘RTylerCroy
 
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdfThe Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdfEnterprise Knowledge
 
Top 5 Benefits OF Using Muvi Live Paywall For Live Streams
Top 5 Benefits OF Using Muvi Live Paywall For Live StreamsTop 5 Benefits OF Using Muvi Live Paywall For Live Streams
Top 5 Benefits OF Using Muvi Live Paywall For Live StreamsRoshan Dwivedi
 
From Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time AutomationFrom Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time AutomationSafe Software
 
Handwritten Text Recognition for manuscripts and early printed texts
Handwritten Text Recognition for manuscripts and early printed textsHandwritten Text Recognition for manuscripts and early printed texts
Handwritten Text Recognition for manuscripts and early printed textsMaria Levchenko
 
Unblocking The Main Thread Solving ANRs and Frozen Frames
Unblocking The Main Thread Solving ANRs and Frozen FramesUnblocking The Main Thread Solving ANRs and Frozen Frames
Unblocking The Main Thread Solving ANRs and Frozen FramesSinan KOZAK
 

Recently uploaded (20)

Factors to Consider When Choosing Accounts Payable Services Providers.pptx
Factors to Consider When Choosing Accounts Payable Services Providers.pptxFactors to Consider When Choosing Accounts Payable Services Providers.pptx
Factors to Consider When Choosing Accounts Payable Services Providers.pptx
 
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptxEIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx
 
Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024
 
Scaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organizationScaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organization
 
The Codex of Business Writing Software for Real-World Solutions 2.pptx
The Codex of Business Writing Software for Real-World Solutions 2.pptxThe Codex of Business Writing Software for Real-World Solutions 2.pptx
The Codex of Business Writing Software for Real-World Solutions 2.pptx
 
Salesforce Community Group Quito, Salesforce 101
Salesforce Community Group Quito, Salesforce 101Salesforce Community Group Quito, Salesforce 101
Salesforce Community Group Quito, Salesforce 101
 
08448380779 Call Girls In Civil Lines Women Seeking Men
08448380779 Call Girls In Civil Lines Women Seeking Men08448380779 Call Girls In Civil Lines Women Seeking Men
08448380779 Call Girls In Civil Lines Women Seeking Men
 
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
 
IAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI SolutionsIAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI Solutions
 
How to convert PDF to text with Nanonets
How to convert PDF to text with NanonetsHow to convert PDF to text with Nanonets
How to convert PDF to text with Nanonets
 
Developing An App To Navigate The Roads of Brazil
Developing An App To Navigate The Roads of BrazilDeveloping An App To Navigate The Roads of Brazil
Developing An App To Navigate The Roads of Brazil
 
Partners Life - Insurer Innovation Award 2024
Partners Life - Insurer Innovation Award 2024Partners Life - Insurer Innovation Award 2024
Partners Life - Insurer Innovation Award 2024
 
CNv6 Instructor Chapter 6 Quality of Service
CNv6 Instructor Chapter 6 Quality of ServiceCNv6 Instructor Chapter 6 Quality of Service
CNv6 Instructor Chapter 6 Quality of Service
 
TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law DevelopmentsTrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
 
🐬 The future of MySQL is Postgres 🐘
🐬  The future of MySQL is Postgres   🐘🐬  The future of MySQL is Postgres   🐘
🐬 The future of MySQL is Postgres 🐘
 
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdfThe Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
 
Top 5 Benefits OF Using Muvi Live Paywall For Live Streams
Top 5 Benefits OF Using Muvi Live Paywall For Live StreamsTop 5 Benefits OF Using Muvi Live Paywall For Live Streams
Top 5 Benefits OF Using Muvi Live Paywall For Live Streams
 
From Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time AutomationFrom Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time Automation
 
Handwritten Text Recognition for manuscripts and early printed texts
Handwritten Text Recognition for manuscripts and early printed textsHandwritten Text Recognition for manuscripts and early printed texts
Handwritten Text Recognition for manuscripts and early printed texts
 
Unblocking The Main Thread Solving ANRs and Frozen Frames
Unblocking The Main Thread Solving ANRs and Frozen FramesUnblocking The Main Thread Solving ANRs and Frozen Frames
Unblocking The Main Thread Solving ANRs and Frozen Frames
 

Innovation Overload – Technology, Jobs and the Future

  • 1. 11/18/2014 1 9:00 AM - 10:00 AM Innovation Overload – Technology, Jobs and the Future Room: Meeting Room 3 Speaker: David Smith This is not your grandfather’s job market where one could work and retire from one company after 40 years. Your father and your company have probably not fared that well either. The fast pace of technology change and productivity improvements, in an increasingly competitive market, have forced companies to change their strategy, frequently upgrade and improve their products or services, and adjust their workforce. Downsizing, outsourcing, automation, financial pressures, short-term demands, and failed strategy all contribute to the challenges. The pace of technology innovation is increasing so fast that many have a hard time choosing where to focus and how to discover what is new. Most delay action and then miss the window to innovate. The growth of complex systems and a global infrastructure has changed the decision and education process. The ability to adapt to real-time and continuous learning will provide an advantage for professionals of the future. A future focus and focused innovation will drive the next generations of products and services. This talk explores the future of work and how it impacts companies and you. Technology, Jobs and the Future David Smith
  • 2. 11/18/2014 2 Work “No other technique for the conduct of life attaches the individual so firmly to reality as laying emphasis on work: For work at least gives one a secure place in a portion of reality, in the human community.” Sigmund Freud The product of work contributes to health, well-being and economic & social stability. Changes to the Future of Work
  • 7. 11/18/2014 7 Growing Shortage of U.S. Workers Expected Labor Force and Labor Force Demand Millions of People 250 200 150 100 50 Source: Employment Policy Foundation analysis and projections of Census/BLS and BEA data. 0 2002 2004 2006 2008 2010 2012 2014 2016 2018 2020 2022 2024 2026 2028 2030 Labor Needed Labor Available Female Labor Force Participation (as a Percent of the Female Population Age 15+), 1990-2011
  • 8. 11/18/2014 8 Screeching to a Halt: Growth in the Working-Age Population 200% 150% 100% 50% 0% Source: Deloitte Research/UN Population Division (http://esa.un.org/unpp/) It’s 2008: Do You Know Where Your Talent Is? Why Acquisition and Retention Strategies Don’t Work, p.6 -50% Mexico Brazil India China South Australia Canada US Netherlands Spain France UK Russia Italy Japan Germany Korea 1970-2010 2010-2050
  • 9. 11/18/2014 9 Dramatically Different Patterns of Growth by Age Percent Growth in U.S. Population by Age: 2000-2010 5% 5% -9% 18% 48% 15% 80% 60% 40% 20% 0% -20% 16-24 25-34 35-44 45-54 55-64 65+ Age of Workers 1. Declining number of mid-career workers 2. Few younger workers entering 3. Rapid growth in the over-55 workforce Source: U.S. Census Bureau . . . Continuing Into the Future Percent Growth in U.S. Workforce by Age: 2000-2020 7% 8% 7% -10% Age of Workers 3% 73% 54% 80% 60% 40% 20% 0% -20% under 14 15-24 25-34 35-44 45-55 55-64 65+ Source: U.S. Census Bureau
  • 10. 11/18/2014 10 In 2000, A Fairly “Young” World . . . Under 5% 5% to 12.4% 12.5% to 20% Above 20% Percent of Population Age 60+ in 2000 Source: U.S. Census Bureau . . . Rapidly Aging by 2025 Under 5% 5% to 12.4% 12.5% to 20% Above 20% Percent of Population Age 60+ in 2025 Source: U.S. Census Bureau
  • 11. 11/18/2014 11 Why? Dramatic Increase in Life Expectancy Average Life Expectancy at Birth in the U.S. 1900 1910 1920 1930 1940 1950 1960 1970 1980 1990 2000 80 75 70 65 60 55 50 45 40 Source: U.S. Social Security Administration “Sudden” Boom in Life Expectancy Life Expectancy at Birth: 1000 - 2000 Age 80 70 60 50 40 30 20 10 Source: U.S. Census Bureau, 2000 76.5 47 38 35 36 30 25 0 1000 1200 1400 1600 1800 1900 2000
  • 12. 11/18/2014 12 And a Dramatic Drop in Birth Rates Total Fertility Rate 7 6 5 4 3 2 1 Source: Age Wave Total Fertility Rate: 3.3 2.8 2.9 3.6 2.0 1960 2000 2.5 2.5 4.0 5.9 2.0 1.7 1.7 1.6 1.4 1.3 1.2 1.8 3.1 0 US UK France Canada Japan Germany Italy China India Why? The Baby Boom Pattern 4.5 4.0 3.5 Millions 3.0 in Birth 2.5 2.0 The Boom Years: 1946-1964 1930 1940 1950 1960 1970 1980 1990 Source: U.S. Census Bureau International Data Base
  • 13. 11/18/2014 13 Skill Mismatch Ahead in the U.S.  Over the next decade, only 30% of US 20 year/olds will obtain a college degree, but 2/3’s of new jobs will require a college degree  Key skill sets will be in critically short supply: - # students that declared their major in computer science has declined for past 4 years—now 39% lower than in 2000 - Other shortages: engineering, physical & biological sciences  A growing number of high school dropouts  Fewer high school graduates with vocational training  Labor “imports” decreasing due to security restrictions and opportunities in rapidly developing countries Source: In part, The Seventh-Annual Workplace Report, Challenges Facing the American Workplace, Summary of Findings,” Employment Policy Foundation, 2002; India Daily, October 12, 2005, citing McKinsey & Co. Research; Computing Research Association, March 2005; Information Week, August 16, 2004; Holding on to Global Talent: Foreign-born stars are heading home. How to keep them working for you” by Anne Fisher, Fortune Magazine, October 19, 2005. Organization for Economic Co-operation and Development When I was growing up, my parents used to say to me, "Tom, finish your dinner. People in China and India are starving." Today I tell my girls, "Finish your homework. People in China and India are starving for your jobs." Source: “The New York Times' Thomas Friedman on Globalization,” CIO Magazine, March 25, 2005 —Thomas Friedman, The World is Flat
  • 14. 11/18/2014 14 U.S. 21st Century Workforce Challenges Chronologically older Limited availability Key skills lacking Global & Virtual Diverse - Race - Gender - Age Generations - Culture Source: Testimony by Tamara J. Erickson to the U.S. Senate Committee on Health, Education, Labor and Pensions, May 2005 “Multi-Generational” Workforce Traditionalist Boomer Generation X Generation Y Born: 1928-1945 Born: 1946-1964 Born: 1965-1980 Born: 1980-2000 Four generations (cultures) are being asked to coexist in the early 21st century workplace Source: Based in part on “Meeting the Challenges of Tomorrow's Workplace,” CEO Magazine, 2005
  • 15. 11/18/2014 15 Webster's Definition of Retirement • to disappear • to go away • to withdraw Source: Webster's New Twentieth Century Dictionary Average Retirement Age of Males 68 1960 1995 66 64.5 59.2 France 65.2 60.5 64.5 60.6 Source: Center for Strategic and International Studies 66.2 62.3 66.2 62.7 66.5 63.6 67.2 Germany Italy Canada UK US Japan 64 62 60 58 56 66.5
  • 16. 11/18/2014 16 Falling Desire for Jobs with Greater Responsibility 69% 41% Source: Generation & Gender in the Workplace, An Issue Brief by Families and Work Institute 14% 60% 54% 31% 1992 2002 15% 80% Under 23 years old (Gen-Y in 2002) 23-37 years old (Gen-X in 2002) 38-57 years old (Boomers in 2002) 58 or more years old Declining Desire for Jobs with Greater Responsibility By Gender Employees Wanting Jobs with Greater Responsibility 52% 68% Men 1992 2002 Source: Generation & Gender in the Workplace, An Issue Brief by Families and Work Institute 36% 57% Women 1992 2002
  • 17. 11/18/2014 17 Lower Alignment with the Organization 45 39 32 48 44 28 57 52 35 65 61 53 70 60 50 40 30 20 10 0 I really care about the fate of this organization (agree) I’m willing to put in effort beyond that normally expected to help the organization be successful (agree) I find my values and the organization’s are similar (agree) Y X Boomer Traditionalist Source: The New Employee/Employer Equation, The Concours Group and Age Wave, 2004
  • 18. 11/18/2014 18 Shifting the Old Work/Life Paradigm . . . 0 10 20 30 40 50 60 70 80 Education Work Leisure Age Source: Demography is De$tiny, The Concours Group and Age Wave, 2003 0 10 20 30 40 50 60 70 Age Education Work Leisure 80 . . . To a “Cyclic” Life Paradigm Source: Demography is De$tiny, The Concours Group and Age Wave, 2003
  • 19. 11/18/2014 19 0 10 20 30 40 50 60 70 Age Education Work Leisure 80 . . . Evolving to a “Blended Lifestyle” Source: Demography is Destiny, The Concours Group and Age Wave, 2003 Cutting Back Has New Meaning: Cyclic Work 12% 39% 49% Working full-time Working part-time Moving back and forth between working full-time and not working The most popular pattern for working after “retirement” is not part-time, but moving back and forth between periods of working and not working. Source: The New Employee/Employer Equation, The Concours Group and Age Wave, 2004
  • 20. 11/18/2014 20 Cutting Back Has New Meaning: Cyclic Work 12% 39% 49% Working full-time Working part-time Moving back and forth between working full-time and not working The most popular pattern for working after “retirement” is not part-time, but moving back and forth between periods of working and not working. Source: The New Employee/Employer Equation, The Concours Group and Age Wave, 2004
  • 22. 11/18/2014 22 Copyright, 2011 © HBMG, Inc. The Limits of Technology  The laws of physics  The laws of software  The challenge of algorithms  The difficulty of distribution  The problems of design  The importance of organization  The impact of economics  The influence of politics  The limits of human imagination Fundamental Human The Open Economy • New business models based on collaboration, co-creation & sharing • Transparency as a normal practice • Conversations (two way communication) • Open interfaces to partners, vendors, suppliers, customers • Common technology and business standards • Service and Experience Mentality
  • 23. 11/18/2014 23 Impact of Lifestyle on Health and Work 100% HEALTH 0% 0 10 20 30 40 50 60 70 80 90 AGE Ideal Lifeline Typical Lifeline Optimal Health Declining Health Poor Health Progressive and chronic disability What is healthy aging in the 21st century? Westendorp RGJ Am J Clin Nut, Vol. 83, No. 2, 404S-409 (2006)
  • 24. 11/18/2014 24 Copyright 2012@ HBMG Inc. Copyright 2012@ HBMG Inc.
  • 34. 11/18/2014 34 The reward for work well done is the opportunity to do more. - Jonas Salk (1914 - 1995) In Parting: Be Paranoid “Sooner or later, something fundamental in your business world will change.” ⎯Andrew S. Grove, Founder, Intel “Only the Paranoid Survive”