Intelligent machines impact on the future of work. Introduction to a course of multiple modules.

1. How
good
are
you
working
with
intelligent
machines?

2. Victoria
G.
Axelrod
Organiza(on
strategist
•
people
wrangler
•
author
•
educator,
and
•
former
senior
execu(ve

3. •
Speakers
on
mute.
•
Par(cipate
•
Have
fun
Presenter
Scribe
Producer
Facilitator
Intro
Poll
Discussion
Eval.
Survey
5
min.
Raise
your
awareness
on
the
impact
of
technology
on
the
future
of
your
work.
Grove
Consul(ng
Templates

4. “Are
you
good
at
working
with
intelligent
machines
or
not?
Are
your
skills
a
complement
to
the
skills
of
the
computer,
or
is
the
computer
doing
beMer
without
you?”

6. Overview
-­‐
Key
Points
Social
DisrupCon
-­‐
Some
data/research
•
how
work
gets
done
within
companies
•
loss
of
jobs/ac(vi(es
and
changing
nature
of
work
•
augmented
rather
than
fully
replaced
Systems
Thinking
and
IntenConal
Networks
–
ExplanaCon
and
Examples
•
enhanced
decision
making
•
become
informed
and
engaged
in
use
or
understanding
of
network
analysis
at
scale
(individual,
group/project,
organiza(onal)
as
automa(on
transforms
work.
Ethics
•
social
research
without
our
knowledge

9. Oxford
University
report
2011
and
McKinsey
research
Key
findings
Oxford:
•
47%
of
all
US
jobs
were
at
risk
from
automa(on
Key
findings
McKinsey:
•
Less
than
5%
of
of
jobs
can
be
fully
automated
•
Below
the
job
or
occupa(on
level
to
work
ac(vi(es
45%
of
work
is
automatable
by
current
technologies.
Included
were
high
wage,
high
skilled
jobs.
hMp://bits.blogs.ny(mes.com/2015/11/06/automa(on-­‐will-­‐
change-­‐jobs-­‐more-­‐than-­‐kill-­‐them/?_r=0

10. …
while
sophis(cated
algorithms
and
developments
in
Mobile
Robo(cs
(MR),
building
upon
with
big
data,
now
allow
many
non-­‐rou(ne
tasks
to
be
auto-­‐mated,
occupa(ons
that
involve
complex
percep(on
and
manipula(on
tasks,
crea(ve
intelligence
tasks,
and
social
intelligence
tasks
are
unlikely
to
be
subs(tuted
by
computer
capital
over
the
next
decade
or
two.
The
probability
of
an
occupa(on
being
automated
can
thus
be
described
as
a
func(on
of
these
task
characteris(cs
…
hMp://www.oxfordmar(n.ox.ac.uk/downloads/academic/
The_Future_of_Employment.pdf

11. More
specifically,
our
research
suggests
that
as
many
as
45
percent
of
the
ac(vi(es
individuals
are
paid
to
perform
can
be
automated
by
adap(ng
currently
demonstrated
technologies.4
In
the
United
States,
these
ac(vi(es
represent
about
$2
trillion
in
annual
wages.
Although
we
ofen
think
of
automa(on
primarily
affec(ng
low-­‐skill,
low-­‐wage
roles,
we
discovered
that
even
the
highest-­‐paid
occupa(ons
in
the
economy,
such
as
financial
managers,
physicians,
and
senior
execu(ves,
including
CEOs,
have
a
significant
amount
of
ac(vity
that
can
be
automated.

12. The
Four
Fundamentals:
1. Automa(on
of
ac(vi(es
2. Redefini(on
of
jobs
and
business
ac(vi(es
3. Impact
on
high-­‐wage
occupa(ons
4. Future
of
crea(vity
–
4%
and
meaning
–
29%
(emo(on)

13. We
will
stop
now
for
some
discussion
in
your
small
groups.
Answer
this
Q.
What
part
of
your
job
do
you
believe
is
the
easiest
to
automate?

15. Thank
You!
Victoria
G.
Axelrod
Principal,
Axelrod
Becker
Consul(ng
445
East
86th
Street
New
York,
NY
10028
212-­‐369-­‐2885
vaxelrod@axelrodbecker.com
www.axelrodbecker.com
Blog:
21st
Century
Organiza(on
hMp://c21org.typepad.com