Trump won because he won a hundred and seven thousand votes in three Rust Belt
seven thousand votes in three Rust Belt
seven thousand votes in three Rust Belt states is that a fluke you know it isn’t
states is that a fluke you know it isn’t
states is that a fluke you know it isn’t a fluke geography matters in United
a fluke geography matters in United
a fluke geography matters in United States politics so if you look at the
States politics so if you look at the
States politics so if you look at the 2016 electoral college map what you see
2016 electoral college map what you see
2016 electoral college map what you see is blue coasts blue dots but an ocean an
is blue coasts blue dots but an ocean an
is blue coasts blue dots but an ocean an ocean of red in between Clinton of
ocean of red in between Clinton of
ocean of red in between Clinton of course won the popular vote but that’s
course won the popular vote but that’s
course won the popular vote but that’s not what matters and the Electoral
not what matters and the Electoral
not what matters and the Electoral College overweights
College overweights
College overweights the votes of rural and Rust Belt whites
the votes of rural and Rust Belt whites
the votes of rural and Rust Belt whites and so does this Senate because the
and so does this Senate because the
and so does this Senate because the state with the least population and the
state with the least population and the
state with the least population and the state with the most population they both
state with the most population they both
state with the most population they both just get two senators and state
just get two senators and state
just get two senators and state legislators also matter a tremendous
legislators also matter a tremendous
legislators also matter a tremendous amount in the US Republicans currently
amount in the US Republicans currently
amount in the US Republicans currently hold 33 if they hold one more they could
hold 33 if they hold one more they could
hold 33 if they hold one more they could actually call a constitutional
actually call a constitutional
actually call a constitutional convention and state legislatures of
convention and state legislatures of
convention and state legislatures of course they control redistricting which
course they control redistricting which
course they control redistricting which determines control of the House of
determines control of the House of
determines control of the House of Representatives and state legislatures
Representatives and state legislatures
Representatives and state legislatures also have a very profound effect on
also have a very profound effect on
also have a very profound effect on American public policy so for example in
American public policy so for example in
American public policy so for example in that ocean of red 80% of American
that ocean of red 80% of American
that ocean of red 80% of American counties have no abortion provider not a
counties have no abortion provider not a
counties have no abortion provider not a single one so ignoring the ocean of red
single one so ignoring the ocean of red
single one so ignoring the ocean of red it just isn’t working we voted with our
it just isn’t working we voted with our
it just isn’t working we voted with our middle finger said one Trump South
middle finger said one Trump South
middle finger said one Trump South Carolina voter this is what’s been
Carolina voter this is what’s been
Carolina voter this is what’s been called the rage or revenge of the white
called the rage or revenge of the white
called the rage or revenge of the white working-class what happened
working-class what happened
working-class what happened it reflects the economic pain of rural
it reflects the economic pain of rural
it reflects the economic pain of rural and Rust Belt Americans so Clinton won
and Rust Belt Americans so Clinton won
and Rust Belt Americans so Clinton won actually fewer than 500 counties but
actually fewer than 500 counties but
actually fewer than 500 counties but those counties represent two-thirds of
those counties represent two-thirds of
those counties represent two-thirds of economic activity in the US Trump won
economic activity in the US Trump won
economic activity in the US Trump won over 2600
over 2600
over 2600 counties but those counties they
counties but those counties they
counties but those counties they represent only a third of economic
represent only a third of economic
represent only a third of economic activity here’s what happened we did
activity here’s what happened we did
activity here’s what happened we did globalization wrong and the result was
globalization wrong and the result was
globalization wrong and the result was the hollowing out of the American middle
the hollowing out of the American middle
the hollowing out of the American middle class and to statistics really say it
class and to statistics really say it
class and to statistics really say it all wages used to rise when productivity
all wages used to rise when productivity
all wages used to rise when productivity did until the 1970s you know if that’s
did until the 1970s you know if that’s
did until the 1970s you know if that’s still held true today wages would be
still held true today wages would be
still held true today wages would be double what they are and the result is
double what they are and the result is
double what they are and the result is that you have for many American families
that you have for many American families
that you have for many American families the demise of the American Dream so
the demise of the American Dream so
the demise of the American Dream so virtually all Americans born in the
virtually all Americans born in the
virtually all Americans born in the 1940s did better than their parents but
1940s did better than their parents but
1940s did better than their parents but today it’s actually less than half and
today it’s actually less than half and
today it’s actually less than half and many Americans fear things will get
many Americans fear things will get
many Americans fear things will get worse
worse
worse 76 percent of Americans believe that
76 percent of Americans believe that
76 percent of Americans believe that automation will worsen economic
automation will worsen economic
automation will worsen economic inequality so who’s providing an
inequality so who’s providing an
inequality so who’s providing an explanation for all of this
explanation for all of this
explanation for all of this well Breitbart is why did we lose good
well Breitbart is why did we lose good
well Breitbart is why did we lose good jobs they went overseas because of trade
jobs they went overseas because of trade
jobs they went overseas because of trade treaties why are the new jobs so low pay
treaties why are the new jobs so low pay
treaties why are the new jobs so low pay it’s because immigrants are driving down
it’s because immigrants are driving down
it’s because immigrants are driving down wages and what’s the solution a huge tax
wages and what’s the solution a huge tax
wages and what’s the solution a huge tax cut for the wealthy job creators oh this
cut for the wealthy job creators oh this
cut for the wealthy job creators oh this is taking American politics to some
is taking American politics to some
is taking American politics to some pretty dark places you know there was a
pretty dark places you know there was a
pretty dark places you know there was a study an hour of blue-collar guys around
study an hour of blue-collar guys around
study an hour of blue-collar guys around New York City in the 1990s and they
New York City in the 1990s and they
New York City in the 1990s and they found that they were actually quite
found that they were actually quite
found that they were actually quite positive towards immigrants hard workers
positive towards immigrants hard workers
positive towards immigrants hard workers just like us and environmental issues
just like us and environmental issues
just like us and environmental issues used to command very broad bipartisan
used to command very broad bipartisan
used to command very broad bipartisan appeal in the 1970s and 1980s what
appeal in the 1970s and 1980s what
appeal in the 1970s and 1980s what flipped both issues was that they were
flipped both issues was that they were
flipped both issues was that they were connected to the loss of jobs so what
connected to the loss of jobs so what
connected to the loss of jobs so what role can Silicon Valley play in turning
role can Silicon Valley play in turning
role can Silicon Valley play in turning this around and here I’m going to rely
this around and here I’m going to rely
this around and here I’m going to rely on
on
on study of the politics of Silicon Valley
study of the politics of Silicon Valley
study of the politics of Silicon Valley entrepreneurs by a group at Stanford
entrepreneurs by a group at Stanford
entrepreneurs by a group at Stanford Silicon Valley has an odd combination in
Silicon Valley has an odd combination in
Silicon Valley has an odd combination in some ways it’s to the left of the left
some ways it’s to the left of the left
some ways it’s to the left of the left similar to Democratic donors very
similar to Democratic donors very
similar to Democratic donors very liberal on social issues on
liberal on social issues on
liberal on social issues on environmental issues immigration and
environmental issues immigration and
environmental issues immigration and redistribution but in other ways it’s
redistribution but in other ways it’s
redistribution but in other ways it’s kind of to the right of the right very
kind of to the right of the right very
kind of to the right of the right very similar to Republican donors very
similar to Republican donors very
similar to Republican donors very conservative on other issues very
conservative on other issues very
conservative on other issues very anti-union
anti-union
anti-union for example and in the belief that white
for example and in the belief that white
for example and in the belief that white income disparity is okay if that’s
income disparity is okay if that’s
income disparity is okay if that’s what’s necessary to fuel economic growth
what’s necessary to fuel economic growth
what’s necessary to fuel economic growth that combination all beliefs is pretty
that combination all beliefs is pretty
that combination all beliefs is pretty much guaranteed to really deeply
much guaranteed to really deeply
much guaranteed to really deeply alienate the white working-class so
alienate the white working-class so
alienate the white working-class so let’s look at this issue by issue let’s
let’s look at this issue by issue let’s
let’s look at this issue by issue let’s start with social issues now Silicon
start with social issues now Silicon
start with social issues now Silicon Valley entrepreneurs are very pro
Valley entrepreneurs are very pro
Valley entrepreneurs are very pro marriage equality and very pro abortion
marriage equality and very pro abortion
marriage equality and very pro abortion rights and that makes sense because it
rights and that makes sense because it
rights and that makes sense because it reflects their felt entitlement to self
reflects their felt entitlement to self
reflects their felt entitlement to self development through love and through
development through love and through
development through love and through work but in blue and pink collar jobs
work but in blue and pink collar jobs
work but in blue and pink collar jobs people don’t feel entitled to
people don’t feel entitled to
people don’t feel entitled to self-development and it’s not an offer
self-development and it’s not an offer
self-development and it’s not an offer what they seek is stability through
what they seek is stability through
what they seek is stability through self-discipline the kind that gets you
self-discipline the kind that gets you
self-discipline the kind that gets you up every day and to work on time without
up every day and to work on time without
up every day and to work on time without an attitude to it often not very
an attitude to it often not very
an attitude to it often not very fulfilling job and so they very highly
fulfilling job and so they very highly
fulfilling job and so they very highly value the institutions that anchor
value the institutions that anchor
value the institutions that anchor self-discipline traditional family
self-discipline traditional family
self-discipline traditional family values traditional religion and so the
values traditional religion and so the
values traditional religion and so the culture wars that have been going on in
culture wars that have been going on in
culture wars that have been going on in the United States for forty years they
the United States for forty years they
the United States for forty years they reflect class divisions that division
reflect class divisions that division
reflect class divisions that division between self development and self
between self development and self
between self development and self discipline how about immigration Silicon
discipline how about immigration Silicon
discipline how about immigration Silicon Valley entrepreneurs actually think we
Valley entrepreneurs actually think we
Valley entrepreneurs actually think we should have more immigration and they
should have more immigration and they
should have more immigration and they don’t think trade treaties
don’t think trade treaties
don’t think trade treaties should prioritize American jobs but two
should prioritize American jobs but two
should prioritize American jobs but two people in that ocean of red looking at
people in that ocean of red looking at
people in that ocean of red looking at rusting factories that belief just
rusting factories that belief just
rusting factories that belief just strikes them as kind of a puzzling and
strikes them as kind of a puzzling and
strikes them as kind of a puzzling and hurtful lack of social solidarity and
hurtful lack of social solidarity and
hurtful lack of social solidarity and things are made worse by an
things are made worse by an
things are made worse by an unselfconscious double standard so for
unselfconscious double standard so for
unselfconscious double standard so for example immigrants their dreamers
example immigrants their dreamers
example immigrants their dreamers they’re viewed through a very empathetic
they’re viewed through a very empathetic
they’re viewed through a very empathetic human rights lens but the white
human rights lens but the white
human rights lens but the white working-class they’re viewed through a
working-class they’re viewed through a
working-class they’re viewed through a very different lens kind of a neoliberal
very different lens kind of a neoliberal
very different lens kind of a neoliberal the race is to the Swift and you’re not
the race is to the Swift and you’re not
the race is to the Swift and you’re not it Homer Simpson wins stupid and fat and
it Homer Simpson wins stupid and fat and
it Homer Simpson wins stupid and fat and that also exacerbates the economic duh
that also exacerbates the economic duh
that also exacerbates the economic duh the conflict around immigration in this
the conflict around immigration in this
the conflict around immigration in this country let’s look at redistributed
country let’s look at redistributed
country let’s look at redistributed programs here Silicon Valley is quite
programs here Silicon Valley is quite
programs here Silicon Valley is quite idealistic they believe in higher taxes
idealistic they believe in higher taxes
idealistic they believe in higher taxes on the rich and redistributing programs
on the rich and redistributing programs
on the rich and redistributing programs for the poor but those kinds of
for the poor but those kinds of
for the poor but those kinds of means-tested programs tightly targeted
means-tested programs tightly targeted
means-tested programs tightly targeted to the poor they’re very unpopular in
to the poor they’re very unpopular in
to the poor they’re very unpopular in blue-collar families because that means
blue-collar families because that means
blue-collar families because that means the poor get benefits and the
the poor get benefits and the
the poor get benefits and the blue-collar family is often just a small
blue-collar family is often just a small
blue-collar family is often just a small notch above get nothing but at a deeper
notch above get nothing but at a deeper
notch above get nothing but at a deeper level working-class whites are very
level working-class whites are very
level working-class whites are very judgmental of people who take what they
judgmental of people who take what they
judgmental of people who take what they see as handouts so for example Jenifer
see as handouts so for example Jenifer
see as handouts so for example Jenifer Sherman’s study of rural California in
Sherman’s study of rural California in
Sherman’s study of rural California in the Central Valley found one family who
the Central Valley found one family who
the Central Valley found one family who had lost a job so they had to sign up
had lost a job so they had to sign up
had lost a job so they had to sign up for food stamps for snap they were so
for food stamps for snap they were so
for food stamps for snap they were so embarrassed at having to take a handout
embarrassed at having to take a handout
embarrassed at having to take a handout that they actually drove two hours away
that they actually drove two hours away
that they actually drove two hours away from their house to get and spend the
from their house to get and spend the
from their house to get and spend the food stamps and so
food stamps and so
food stamps and so in this kind of context things like the
in this kind of context things like the
in this kind of context things like the guaranteed annual income which is very
guaranteed annual income which is very
guaranteed annual income which is very popular in Silicon Valley and very
popular in Silicon Valley and very
popular in Silicon Valley and very idealistic would be seen as a
idealistic would be seen as a
idealistic would be seen as a condescending handout and so how can
condescending handout and so how can
condescending handout and so how can Silicon Valley connect I mean you’re not
Silicon Valley connect I mean you’re not
Silicon Valley connect I mean you’re not going to gang up on gays and immigrants
going to gang up on gays and immigrants
going to gang up on gays and immigrants and they’re not going to abandon their
and they’re not going to abandon their
and they’re not going to abandon their concern about climate change what they
concern about climate change what they
concern about climate change what they can do though is to connect around a
can do though is to connect around a
can do though is to connect around a shared value and that shared value is
shared value and that shared value is
shared value and that shared value is social honor through work because the
social honor through work because the
social honor through work because the white working-class just want what
white working-class just want what
white working-class just want what Silicon Valley already has which is the
Silicon Valley already has which is the
Silicon Valley already has which is the ability to work hard and create a good
ability to work hard and create a good
ability to work hard and create a good life for your family that’s the key
life for your family that’s the key
life for your family that’s the key Silicon Valley has to actually care
Silicon Valley has to actually care
Silicon Valley has to actually care about creating good jobs for the
about creating good jobs for the
about creating good jobs for the two-thirds of Americans who lack college
two-thirds of Americans who lack college
two-thirds of Americans who lack college degrees but you know the first step it’s
degrees but you know the first step it’s
degrees but you know the first step it’s a really easy one it’s just to stop
a really easy one it’s just to stop
a really easy one it’s just to stop insulting people
insulting people
insulting people so terms like plumbers but flyover
so terms like plumbers but flyover
so terms like plumbers but flyover States and they’re just classic insults
States and they’re just classic insults
States and they’re just classic insults that pass for wit and even the Homer
that pass for wit and even the Homer
that pass for wit and even the Homer Simpson stereotype stupid and fat and
Simpson stereotype stupid and fat and
Simpson stereotype stupid and fat and here literally drooling
here literally drooling
here literally drooling we need to lose them all class lers
we need to lose them all class lers
we need to lose them all class lers should be a stigmatized as racial slurs
should be a stigmatized as racial slurs
should be a stigmatized as racial slurs and then we need to focus on jobs for
and then we need to focus on jobs for
and then we need to focus on jobs for those who own companies it’s important
those who own companies it’s important
those who own companies it’s important to hire four skills not just four
to hire four skills not just four
to hire four skills not just four degrees look I have degrees from Yale
degrees look I have degrees from Yale
degrees look I have degrees from Yale Harvard and MIT so I totally get the
Harvard and MIT so I totally get the
Harvard and MIT so I totally get the whole Stanford thing I know I know I’m
whole Stanford thing I know I know I’m
whole Stanford thing I know I know I’m in Silicon Valley but if you look at
in Silicon Valley but if you look at
in Silicon Valley but if you look at Americans by household income if you
Americans by household income if you
Americans by household income if you look at the three middle quintiles by
look at the three middle quintiles by
look at the three middle quintiles by household income only three percent of
household income only three percent of
household income only three percent of those kids
those kids
those kids goto highly elite schools so if you’re
goto highly elite schools so if you’re
goto highly elite schools so if you’re hiring only from those schools you’re
hiring only from those schools you’re
hiring only from those schools you’re hiring from a very narrow range of
hiring from a very narrow range of
hiring from a very narrow range of families and so there are now a growing
families and so there are now a growing
families and so there are now a growing number of companies gap jumpers and
number of companies gap jumpers and
number of companies gap jumpers and others that will help you identify the
others that will help you identify the
others that will help you identify the skills that you need and hire through
skills that you need and hire through
skills that you need and hire through skills assessments people who have those
skills assessments people who have those
skills assessments people who have those skills and Google is with doing much the
skills and Google is with doing much the
skills and Google is with doing much the same thing focusing on Gil’s skills
same thing focusing on Gil’s skills
same thing focusing on Gil’s skills assessment and what they’re finding is
assessment and what they’re finding is
assessment and what they’re finding is that they hire some very bright people
that they hire some very bright people
that they hire some very bright people from community college and even who are
from community college and even who are
from community college and even who are just high school grads the second is
just high school grads the second is
just high school grads the second is really a huge business opportunity and
really a huge business opportunity and
really a huge business opportunity and that’s to create companies that train
that’s to create companies that train
that’s to create companies that train today’s workers for tomorrow’s jobs
today’s workers for tomorrow’s jobs
today’s workers for tomorrow’s jobs because according to one estimate 32% of
because according to one estimate 32% of
because according to one estimate 32% of American workers will have to change
American workers will have to change
American workers will have to change occupational categories as a result of
occupational categories as a result of
occupational categories as a result of automation and you know you know and I
automation and you know you know and I
automation and you know you know and I know they’re gonna have to change often
know they’re gonna have to change often
know they’re gonna have to change often more than once two and three times
more than once two and three times
more than once two and three times retrain in the course of a lifetime and
retrain in the course of a lifetime and
retrain in the course of a lifetime and so what’s needed are companies that can
so what’s needed are companies that can
so what’s needed are companies that can work with local employers to help them
work with local employers to help them
work with local employers to help them identify the skills they need and
identify the skills they need and
identify the skills they need and develop certificate programs that the
develop certificate programs that the
develop certificate programs that the employers trust a hugely important
employers trust a hugely important
employers trust a hugely important social impact business opportunity and
social impact business opportunity and
social impact business opportunity and this is important not just for small
this is important not just for small
this is important not just for small companies but for large legacy companies
companies but for large legacy companies
companies but for large legacy companies and here a model is the partnership
and here a model is the partnership
and here a model is the partnership between Udacity and AT&T where together
between Udacity and AT&T where together
between Udacity and AT&T where together they created open-source – content
they created open-source – content
they created open-source – content available to AT&T workers to train them
available to AT&T workers to train them
available to AT&T workers to train them for tomorrow’s jobs but in many ways the
for tomorrow’s jobs but in many ways the
for tomorrow’s jobs but in many ways the most important is to use automation to
most important is to use automation to
most important is to use automation to up skill jobs and here’s an example in
up skill jobs and here’s an example in
up skill jobs and here’s an example in New York they ran a pilot where they
New York they ran a pilot where they
New York they ran a pilot where they gave to nurses aides a simple iPad that
gave to nurses aides a simple iPad that
gave to nurses aides a simple iPad that was preloaded with 15 health screening
was preloaded with 15 health screening
was preloaded with 15 health screening conditions
conditions
conditions and that way the aides could do the
and that way the aides could do the
and that way the aides could do the health screening and get the information
health screening and get the information
health screening and get the information immediately to doctors what they found
immediately to doctors what they found
immediately to doctors what they found in the pilot is that it improved medical
in the pilot is that it improved medical
in the pilot is that it improved medical outcomes it decreased healthcare costs
outcomes it decreased healthcare costs
outcomes it decreased healthcare costs and properly handled that’s exactly the
and properly handled that’s exactly the
and properly handled that’s exactly the kind of upskilling that can bring
kind of upskilling that can bring
kind of upskilling that can bring someone’s job up to a level where it can
someone’s job up to a level where it can
someone’s job up to a level where it can sustain a middle-class wage that’s an
sustain a middle-class wage that’s an
sustain a middle-class wage that’s an amazingly important model and you know
amazingly important model and you know
amazingly important model and you know with things like 3d printing in that
with things like 3d printing in that
with things like 3d printing in that ocean of red people in this room could
ocean of red people in this room could
ocean of red people in this room could be inventing niche products and
be inventing niche products and
be inventing niche products and companies that would for example be able
companies that would for example be able
companies that would for example be able to produce customized prosthetics and
to produce customized prosthetics and
to produce customized prosthetics and sell them from Indiana and that’s
sell them from Indiana and that’s
sell them from Indiana and that’s important because about 5% of jobs it’s
important because about 5% of jobs it’s
important because about 5% of jobs it’s true
true
true will be lost to automation and that’s
will be lost to automation and that’s
will be lost to automation and that’s what we’re mostly hearing about but what
what we’re mostly hearing about but what
what we’re mostly hearing about but what we need to understand is that according
we need to understand is that according
we need to understand is that according to one estimate 60% of jobs will involve
to one estimate 60% of jobs will involve
to one estimate 60% of jobs will involve interaction between humans and robots
interaction between humans and robots
interaction between humans and robots and we have to use that new generation
and we have to use that new generation
and we have to use that new generation of jobs to upskill them in an important
of jobs to upskill them in an important
of jobs to upskill them in an important way and then that company in Indiana
way and then that company in Indiana
way and then that company in Indiana producing those customized prosthetics
producing those customized prosthetics
producing those customized prosthetics they should be able to market them to
they should be able to market them to
they should be able to market them to the world because 95% of potential
the world because 95% of potential
the world because 95% of potential customers are outside of the US and it
customers are outside of the US and it
customers are outside of the US and it used to be the only companies who could
used to be the only companies who could
used to be the only companies who could reach those customers were large multi
reach those customers were large multi
reach those customers were large multi multinationals but that’s no longer true
multinationals but that’s no longer true
multinationals but that’s no longer true today
today
today things like eBay and Etsy they’re just
things like eBay and Etsy they’re just
things like eBay and Etsy they’re just the beginning what we need is the
the beginning what we need is the
the beginning what we need is the invention of new platforms that will
invention of new platforms that will
invention of new platforms that will allow that company in Indiana whether
allow that company in Indiana whether
allow that company in Indiana whether it’s selling prosthetics or customized
it’s selling prosthetics or customized
it’s selling prosthetics or customized blue jeans to reach a very broad range
blue jeans to reach a very broad range
blue jeans to reach a very broad range of customers and there’s some companies
of customers and there’s some companies
of customers and there’s some companies like this but there need to be a lot
like this but there need to be a lot
like this but there need to be a lot more and once there are once you invent
more and once there are once you invent
more and once there are once you invent programs for what are now being called
programs for what are now being called
programs for what are now being called micro multinationals you could be
micro multinationals you could be
micro multinationals you could be marketing not just goods but also
marketing not just goods but also
marketing not just goods but also services through things like augmented
services through things like augmented
services through things like augmented reality devices for example and through
reality devices for example and through
reality devices for example and through the use of holograms an electrician in
the use of holograms an electrician in
the use of holograms an electrician in Alabama can could analyze the problem
Alabama can could analyze the problem
Alabama can could analyze the problem with a factory in China and guide locals
with a factory in China and guide locals
with a factory in China and guide locals on how to fix it all of these new
on how to fix it all of these new
on how to fix it all of these new companies though in the old ones too
companies though in the old ones too
companies though in the old ones too need to rethink the notion of core
need to rethink the notion of core
need to rethink the notion of core competencies it sounds so good we only
competencies it sounds so good we only
competencies it sounds so good we only do what we do best
do what we do best
do what we do best but what it has become is a way to
but what it has become is a way to
but what it has become is a way to justify only caring about creating good
justify only caring about creating good
justify only caring about creating good jobs for people at the top of the food
jobs for people at the top of the food
jobs for people at the top of the food chain you know that didn’t used to be
chain you know that didn’t used to be
chain you know that didn’t used to be the philosophy of American business so
the philosophy of American business so
the philosophy of American business so for example if you look at Codex
for example if you look at Codex
for example if you look at Codex in your report from 1990 on page two a
in your report from 1990 on page two a
in your report from 1990 on page two a pace place of pride they talked about
pace place of pride they talked about
pace place of pride they talked about the number of jobs created they even
the number of jobs created they even
the number of jobs created they even talked about the amount of wages pay and
talked about the amount of wages pay and
talked about the amount of wages pay and benefits paid as one of the key
benefits paid as one of the key
benefits paid as one of the key accomplishments of the company if you
accomplishments of the company if you
accomplishments of the company if you compare the last annual report published
compare the last annual report published
compare the last annual report published by Apple same place place or prime page
by Apple same place place or prime page
by Apple same place place or prime page – nothing like that
– nothing like that
– nothing like that they talked about their cash position so
they talked about their cash position so
they talked about their cash position so we need to add a stakeholder employees
we need to add a stakeholder employees
we need to add a stakeholder employees and to recognize that if the company
and to recognize that if the company
and to recognize that if the company takes care of the employees the
takes care of the employees the
takes care of the employees the employees will take care of the
employees will take care of the
employees will take care of the customers and then the customers of
customers and then the customers of
customers and then the customers of course will take care of of the
course will take care of of the
course will take care of of the shareholders who in turn in a virtuous
shareholders who in turn in a virtuous
shareholders who in turn in a virtuous circle will take care of the employees
circle will take care of the employees
circle will take care of the employees that’s the virtuous circle that we need
that’s the virtuous circle that we need
that’s the virtuous circle that we need to be moving towards and we need to
to be moving towards and we need to
to be moving towards and we need to bring the jobs where the people are
bring the jobs where the people are
bring the jobs where the people are because in that ocean of red they’re not
because in that ocean of red they’re not
because in that ocean of red they’re not going to move here any more than we’re
going to move here any more than we’re
going to move here any more than we’re going to move to Alabama
going to move to Alabama
going to move to Alabama for good and sufficient reasons also
for good and sufficient reasons also
for good and sufficient reasons also these are two job families they need to
these are two job families they need to
these are two job families they need to find not just one better job they need
find not just one better job they need
find not just one better job they need to find two better jobs and they need to
to find two better jobs and they need to
to find two better jobs and they need to find two jobs that are so much better
find two jobs that are so much better
find two jobs that are so much better that the fact that they’re now going to
that the fact that they’re now going to
that the fact that they’re now going to be paying for childcare elder care and a
be paying for childcare elder care and a
be paying for childcare elder care and a lot of other things that they’re dense
lot of other things that they’re dense
lot of other things that they’re dense rooted localized network of family and
rooted localized network of family and
rooted localized network of family and friends can’t give them any longer for
friends can’t give them any longer for
friends can’t give them any longer for free they still need to come out I had
free they still need to come out I had
free they still need to come out I had they are not going to move but through
they are not going to move but through
they are not going to move but through all of these new technologies that does
all of these new technologies that does
all of these new technologies that does not matter as much now because we can be
not matter as much now because we can be
not matter as much now because we can be creating companies in the heartland
creating companies in the heartland
creating companies in the heartland so Silicon Valley in many ways is so
so Silicon Valley in many ways is so
so Silicon Valley in many ways is so perfectly placed to help drain the venom
perfectly placed to help drain the venom
perfectly placed to help drain the venom from American politics and replace it
from American politics and replace it
from American politics and replace it with hope you know we did globalization
with hope you know we did globalization
with hope you know we did globalization wrong but let’s do automated that’s how
wrong but let’s do automated that’s how
wrong but let’s do automated that’s how Silicon Valley can disrupt American
Silicon Valley can disrupt American
Silicon Valley can disrupt American politics thank you
politics thank you
politics thank you [Applause]
”
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