For many years, society has operated under the premise that growth is a linear activity: school, then university and then work. But what if you didn’t have access to school? And what happens when you’ve been out of school for more than 10 years? Are you no longer valuable? Absolutely not – yet we value employees based on their degrees or time spent in formal training settings.
We have to become more modern in our approach to how we think about, and then support, the development of our employees.
Shaping the Workforce: Strategies for the Future of Work
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www.work-to-learn.com
Heather E. McGowan | Chris Shipley
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Chris Shipley
2010 Silicon Valley Visionary Award Winner,
Author, Adviser, Board Member
Advocate for Innovation of Consequence
www.linkedin.com/chshipley
Twitter: @cshipley
Heather E. McGowan
2017 LinkedIn Top Voice,
Keynote Speaker, Author, Consultant
Aspirational Polymath
www.linkedin.com/heathermcgowan
Twitter: @heathermcgowan
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THESIS
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CAREEREDUCATIONRETIRE
K-12
University
Ladder
Job
Career
Age 5- 18/22
Age 18/22- 65
Pension
Age 66+
Life Expectancy 67
Success Measures:
Securing Talent Based
Upon Proven Skill +
Past Experiences
NATURE OF WORK: Old Economy Paradigm (Context)
Job
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LEVERAGELEARNLONGEVITY
LEARN LEARN LEARN LEARN LEARN LEARN
Engagement
Engagement
Engagement
Engagement
Engagement
Engagement
Remain Engaged
Life Expectancy 90+
Success Measures:
Learning Agility +
Adaptability
NATURE OF WORK: New Reality Paradigm
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PAST: We Learned (In Order) To Work,
NOW: We Must Now Work (In Order) To
(Continuously) Learn.
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Moonshot Mindset:
Did We Hire Astronauts Based Upon Past Skills + Experience?
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MACRO CONTEXT
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Extract Value From
Natural Assets
Scalable Production of
Human Made Assets
Scalable Learning to
Create Digital Assets
1917
$46 Billion
$14 Billion
$10 Billion
$7 Billion
$6 Billion
1967
$258 Billion
$201 Billion
$177 Billion
$171 Billion
$106 Billion
2017
$898 Billion
$719 Billion
$644 Billion
$543 Billion
$518 Billion
CONTEXT: Largest Companies (Market Cap) of The Last 100 Years
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Extract Value From
Natural Assets
Scalable Production of
Human Made Assets
Scalable Learning to
Create Digital Assets
1917 1967 2017
CONTEXT: Largest Companies (Market Cap) of The Last 100 Years
CAPITAL
TECHNOLOGY
HUMAN INGENUITY CAPITAL
TECHNOLOGY
HUMAN INGENUITY
CAPITAL
TECHNOLOGY
HUMAN INGENUITY
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Every Company Will Be A Data Company (And A Learning Company)
CONTEXT: What Business Are You In?
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CHANGES TO WORK
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AUGMENTED
WORK CHANGE: The Impact of Atomization, Automation, and Augmentation
ATOMIZED AUTOMATED
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WORK CHANGE: Our World Was Complicated But It Is Now Complex
COMPLICATED COMPLEX
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Educate Work Retire
Panic
VALUE
(Perceived)
TIME
+
-
45
23
35
55
65
70
50
WORK CHANGE: The Career Arc (The Old Model)
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Acquire
Expertise
Brain
Plasticity
JUDGEMENT
Maturity,
Perspective
Wisdom
High Value
Zone
VALUE
(Perceived)
TIME
+
45
23
35
55
65
70
45 50
-
WORK CHANGE: The Career Arc (The Old Model)– Perceived Value
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Digital
NativesVALUE
(Perceived)
TIME
+
45
23
35
55
65
70
50
LinkedIn +
Salesforce
29
Apple +
Amazon
31
Google
30
Facebook
28
-
WORK CHANGE: New Economy + Digital Natives
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83
High
Value
ZoneVALUE
(Perceived)
TIME
+
23
55
65
70
50
35
4535
-
79
WORK CHANGE: The Career Arc + Longevity
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Retirement
Panic
Current Workforce
VALUE
(Perceived)
TIME
+
35
55
50
65
83
Skills Demand Longevity
23
40
Education
Cost Panic
Work Changed Panic
-
WORK CHANGE: The Career Arc and The Panic Zones
6045
Missing The Peak
Panic.
Older Employees
in Old Economy
Companies
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75-375 Million Workers
May Need To Switch
Occupations by 2030
14% of The Global
Workforce Re-Skill
100% of The Workforce Will Need to Adapt
CEO Ginni Rometty
2017 Report
on Automation
Educational Spending 7% to 12% of GDP Vision 2020
WORK CHANGE: The Road Ahead
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CULTURE
CAPACITY
BRAND
PRODUCT
INPUT OUTPUT
THINK DIFFERENTLY: Re-define The Entity: Focus Inward
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Preparation Activity
(Work)
Goal-
Target
Byproduct
LEARN
LEARN TO
LEARN
Unit of ValueDO
Unit of ValueLEARN DO
Increased
Capacity
OLD
ECONOMY
NEW
REALITY
New Paradigm = New Goals
@heathermcgowan
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Summary:
• Technology has the potential to unleash the Potential of Humanity.
• We can fear robots or we can prepare for an era of Human
Abundance.
• We must stop competing with technology.
• We build these innovations and inventions to serve humans; never
lose site of that.
• We are entering an era where life-long learning will be the norm,
culture will be paramount, and our uniquely human skills will be
highly valued.