
so it seems like almost every day someone shares an article with me that
someone shares an article with me that
someone shares an article with me that says will robots steal our jobs but what
says will robots steal our jobs but what
says will robots steal our jobs but what sets me about such features it’s not
sets me about such features it’s not
sets me about such features it’s not just how limited they are in our
just how limited they are in our
just how limited they are in our understanding of the problem but also in
understanding of the problem but also in
understanding of the problem but also in their imagination of the potential
their imagination of the potential
their imagination of the potential outcomes you see where they get stuck is
outcomes you see where they get stuck is
outcomes you see where they get stuck is they only see the future through the
they only see the future through the
they only see the future through the lens of today and what I mean it is like
lens of today and what I mean it is like
lens of today and what I mean it is like in these stories the ideal of full
in these stories the ideal of full
in these stories the ideal of full employment economics remains the same
employment economics remains the same
employment economics remains the same but in a healthy society and at a
but in a healthy society and at a
but in a healthy society and at a healthy economy everyone should have the
healthy economy everyone should have the
healthy economy everyone should have the chance and perhaps even the duty to get
chance and perhaps even the duty to get
chance and perhaps even the duty to get a job they therefore present a question
a job they therefore present a question
a job they therefore present a question to us in such a way as to mobilize our
to us in such a way as to mobilize our
to us in such a way as to mobilize our fear fear of being stuck in a dead-end
fear fear of being stuck in a dead-end
fear fear of being stuck in a dead-end career or fear of being unemployed but
career or fear of being unemployed but
career or fear of being unemployed but what they don’t do is acknowledge the
what they don’t do is acknowledge the
what they don’t do is acknowledge the greater fear the fear that the future
greater fear the fear that the future
greater fear the fear that the future might look very different to today and
might look very different to today and
might look very different to today and you see here’s the bit that’s really
you see here’s the bit that’s really
you see here’s the bit that’s really scary in the future full employment
scary in the future full employment
scary in the future full employment might not be likely or even possible you
might not be likely or even possible you
might not be likely or even possible you see that robotics automation software
see that robotics automation software
see that robotics automation software and artificial intelligence together are
and artificial intelligence together are
and artificial intelligence together are driving the robot revolution and the
driving the robot revolution and the
driving the robot revolution and the idea of revolutions is scary but this is
idea of revolutions is scary but this is
idea of revolutions is scary but this is our chance to design the future that we
our chance to design the future that we
our chance to design the future that we want to have and I believe it’s not just
want to have and I believe it’s not just
want to have and I believe it’s not just those of us who work in the tech
those of us who work in the tech
those of us who work in the tech industry who should have a say in
industry who should have a say in
industry who should have a say in designing this future this is a
designing this future this is a
designing this future this is a conversation we all should have the
conversation we all should have the
conversation we all should have the chance to play a part in and in order to
chance to play a part in and in order to
chance to play a part in and in order to have a meaningful conversation we need
have a meaningful conversation we need
have a meaningful conversation we need to be aware of the issues we need to be
to be aware of the issues we need to be
to be aware of the issues we need to be aware of the full facts and that’s what
aware of the full facts and that’s what
aware of the full facts and that’s what I’ve made my mission to try and do I
I’ve made my mission to try and do I
I’ve made my mission to try and do I spent the past few years working for one
spent the past few years working for one
spent the past few years working for one of the largest organizations in the
of the largest organizations in the
of the largest organizations in the world and helping them evaluate and
world and helping them evaluate and
world and helping them evaluate and implement this technology and now I’m
implement this technology and now I’m
implement this technology and now I’m going to share with you everything I’ve
going to share with you everything I’ve
going to share with you everything I’ve learned you see in the past we built
learned you see in the past we built
learned you see in the past we built machines that could do superhuman things
machines that could do superhuman things
machines that could do superhuman things machines that could move more than a
machines that could move more than a
machines that could move more than a person like a bulldozer or machines that
person like a bulldozer or machines that
person like a bulldozer or machines that could recall information faster like a
could recall information faster like a
could recall information faster like a database or search engine or machines
database or search engine or machines
database or search engine or machines that could follow rules millions of
that could follow rules millions of
that could follow rules millions of times without getting distracted like
times without getting distracted like
times without getting distracted like those annoying telephone menu systems
those annoying telephone menu systems
those annoying telephone menu systems but what’s different about the
but what’s different about the
but what’s different about the technology we’re building today is we’re
technology we’re building today is we’re
technology we’re building today is we’re building machines with our very skills
building machines with our very skills
building machines with our very skills and abilities robots are being given
and abilities robots are being given
and abilities robots are being given dexterity things that you and I take for
dexterity things that you and I take for
dexterity things that you and I take for granted
granted
granted like the ability to turn the handle of a
like the ability to turn the handle of a
like the ability to turn the handle of a door open and walk through it will soon
door open and walk through it will soon
door open and walk through it will soon be something that a machine can also
be something that a machine can also
be something that a machine can also achieve artificial intelligence
achieve artificial intelligence
achieve artificial intelligence techniques can succeed in tasks that
techniques can succeed in tasks that
techniques can succeed in tasks that require a high level of pattern
require a high level of pattern
require a high level of pattern recognition skill such as seeing who or
recognition skill such as seeing who or
recognition skill such as seeing who or what is in a picture and are based in
what is in a picture and are based in
what is in a picture and are based in very narrow instances that can even
very narrow instances that can even
very narrow instances that can even reach levels of accuracy much greater
reach levels of accuracy much greater
reach levels of accuracy much greater than human experts and whereas in the
than human experts and whereas in the
than human experts and whereas in the past rule based systems grew so complex
past rule based systems grew so complex
past rule based systems grew so complex that progress ground to a halt
that progress ground to a halt
that progress ground to a halt the latest automation software can
the latest automation software can
the latest automation software can literally see cursor movements mouse
literally see cursor movements mouse
literally see cursor movements mouse clicks and keyboard entries and not just
clicks and keyboard entries and not just
clicks and keyboard entries and not just predict what it is that the user is
predict what it is that the user is
predict what it is that the user is going to do but do it for them so
going to do but do it for them so
going to do but do it for them so remember three branches of tech research
remember three branches of tech research
remember three branches of tech research and the breakthroughs that are happening
and the breakthroughs that are happening
and the breakthroughs that are happening in each robotics automation and a and AI
in each robotics automation and a and AI
in each robotics automation and a and AI is the replication of human abilities in
is the replication of human abilities in
is the replication of human abilities in machines now some cynics will argue that
machines now some cynics will argue that
machines now some cynics will argue that in the past we’ve always created new
in the past we’ve always created new
in the past we’ve always created new jobs for those displaced through
jobs for those displaced through
jobs for those displaced through automation and that has been true until
automation and that has been true until
automation and that has been true until now but remember what we’ve largely been
now but remember what we’ve largely been
now but remember what we’ve largely been doing with technology is inventing
doing with technology is inventing
doing with technology is inventing machines with superhuman skills and then
machines with superhuman skills and then
machines with superhuman skills and then allocating labor to those jobs which
allocating labor to those jobs which
allocating labor to those jobs which require human talents or human touch and
require human talents or human touch and
require human talents or human touch and given that now we are building machines
given that now we are building machines
given that now we are building machines that have human abilities
that have human abilities
that have human abilities in the future we will only be left with
in the future we will only be left with
in the future we will only be left with those jobs that specifically require
those jobs that specifically require
those jobs that specifically require human touch and this isn’t Star Trek
human touch and this isn’t Star Trek
human touch and this isn’t Star Trek this is happening silently all around us
this is happening silently all around us
this is happening silently all around us you remember those voice recognition
you remember those voice recognition
you remember those voice recognition systems just a few years ago I remember
systems just a few years ago I remember
systems just a few years ago I remember testing transcription software it was so
testing transcription software it was so
testing transcription software it was so laughably bad it was quicker for me to
laughably bad it was quicker for me to
laughably bad it was quicker for me to type and the story was the same for a
type and the story was the same for a
type and the story was the same for a friend of mine she’s a radio producer
friend of mine she’s a radio producer
friend of mine she’s a radio producer and she would give her interns the
and she would give her interns the
and she would give her interns the interviews to transcribe until recently
interviews to transcribe until recently
interviews to transcribe until recently because now it can be done cheaper
because now it can be done cheaper
because now it can be done cheaper faster and just about as accurately by
faster and just about as accurately by
faster and just about as accurately by Machine you see the world is changing
Machine you see the world is changing
Machine you see the world is changing around us faster than we care to believe
around us faster than we care to believe
around us faster than we care to believe but the day this becomes a problem is
but the day this becomes a problem is
but the day this becomes a problem is not the day where half the population
not the day where half the population
not the day where half the population are unemployed through automation and
are unemployed through automation and
are unemployed through automation and not 10% or 1% it’s the day the first
not 10% or 1% it’s the day the first
not 10% or 1% it’s the day the first child comes through high school and sits
child comes through high school and sits
child comes through high school and sits where their career counselor who says
where their career counselor who says
where their career counselor who says I’m sorry there is just nothing that you
I’m sorry there is just nothing that you
I’m sorry there is just nothing that you can do of economic value that a machine
can do of economic value that a machine
can do of economic value that a machine can’t do just as well what I’m talking
can’t do just as well what I’m talking
can’t do just as well what I’m talking about here it’s not unemployment in the
about here it’s not unemployment in the
about here it’s not unemployment in the 19th or 20th century sense
19th or 20th century sense
19th or 20th century sense this is unemployability and I believe
this is unemployability and I believe
this is unemployability and I believe there are three steps to surviving this
there are three steps to surviving this
there are three steps to surviving this robot revolution and the first one is to
robot revolution and the first one is to
robot revolution and the first one is to acknowledge the extent and speed of
acknowledge the extent and speed of
acknowledge the extent and speed of change and that it is likely to create
change and that it is likely to create
change and that it is likely to create unemployability so what do we do next
unemployability so what do we do next
unemployability so what do we do next well we need to reimagine the economics
well we need to reimagine the economics
well we need to reimagine the economics how do we support those who are left
how do we support those who are left
how do we support those who are left unemployed through automation well one
unemployed through automation well one
unemployed through automation well one solution that is often been put forward
solution that is often been put forward
solution that is often been put forward is that of universal basic income or ubi
is that of universal basic income or ubi
is that of universal basic income or ubi and this is essentially a pension for
and this is essentially a pension for
and this is essentially a pension for all with the intention that by paying in
all with the intention that by paying in
all with the intention that by paying in amounts to everyone sufficient to ensure
amounts to everyone sufficient to ensure
amounts to everyone sufficient to ensure they
they
they can survive the need for getting a job
can survive the need for getting a job
can survive the need for getting a job is taken away people are then free to
is taken away people are then free to
is taken away people are then free to choose the features that they want based
choose the features that they want based
choose the features that they want based on their skills and ambitions and that
on their skills and ambitions and that
on their skills and ambitions and that cliche of great artists wasting their
cliche of great artists wasting their
cliche of great artists wasting their talent by waiting tables will be no more
so you BL a is a potential solution it
so you BL a is a potential solution it has one great strengths it helps people
has one great strengths it helps people
has one great strengths it helps people make the distinction between jobs and
make the distinction between jobs and
make the distinction between jobs and work you see work is anything that you
work you see work is anything that you
work you see work is anything that you do with intention whereas a job is the
do with intention whereas a job is the
do with intention whereas a job is the work that you do with the intention of
work that you do with the intention of
work that you do with the intention of being paid and many of us we’ve lost
being paid and many of us we’ve lost
being paid and many of us we’ve lost sight of the fact that there are so many
sight of the fact that there are so many
sight of the fact that there are so many people who make incredible contributions
people who make incredible contributions
people who make incredible contributions to society but not to their jobs any one
to society but not to their jobs any one
to society but not to their jobs any one who has cared for a relative raised a
who has cared for a relative raised a
who has cared for a relative raised a child or supported a charity will know
child or supported a charity will know
child or supported a charity will know that these things are hard work and they
that these things are hard work and they
that these things are hard work and they are not jobs if we could only remove the
are not jobs if we could only remove the
are not jobs if we could only remove the stigma of joblessness how many more
stigma of joblessness how many more
stigma of joblessness how many more people would be free to work on things
people would be free to work on things
people would be free to work on things which would also make great
which would also make great
which would also make great contributions to the world now these
contributions to the world now these
contributions to the world now these might seem like noble ideals but UB is
might seem like noble ideals but UB is
might seem like noble ideals but UB is only successful in eliminating the
only successful in eliminating the
only successful in eliminating the bureaucracy from the benefit system and
bureaucracy from the benefit system and
bureaucracy from the benefit system and will only ever function under full
will only ever function under full
will only ever function under full employment economics
employment economics
employment economics you see when unemployability strikes you
you see when unemployability strikes you
you see when unemployability strikes you bi runs the risk of creating permanent
bi runs the risk of creating permanent
bi runs the risk of creating permanent Landlord and Tenant classes it’ll be the
Landlord and Tenant classes it’ll be the
Landlord and Tenant classes it’ll be the rich compensating the poor for remaining
rich compensating the poor for remaining
rich compensating the poor for remaining poor a form of techno feudalism where
poor a form of techno feudalism where
poor a form of techno feudalism where those who have and who have not will
those who have and who have not will
those who have and who have not will simply be a game of musical chairs and
simply be a game of musical chairs and
simply be a game of musical chairs and who will own the machines when the music
who will own the machines when the music
who will own the machines when the music stops
to be sure distribution of ownership is
to be sure distribution of ownership is a challenge which we are going to need
a challenge which we are going to need
a challenge which we are going to need to address but for now I just want to
to address but for now I just want to
to address but for now I just want to imagine how our economy might look if we
imagine how our economy might look if we
imagine how our economy might look if we were to make just one small change in
were to make just one small change in
were to make just one small change in our thinking
our thinking
our thinking so rather than worrying about robots
so rather than worrying about robots
so rather than worrying about robots stealing our jobs what if we were to
stealing our jobs what if we were to
stealing our jobs what if we were to proactively automate labor out of those
proactively automate labor out of those
proactively automate labor out of those industries that were essential for our
industries that were essential for our
industries that were essential for our survival if you eliminated human labor
survival if you eliminated human labor
survival if you eliminated human labor from the equation of any particular
from the equation of any particular
from the equation of any particular product or service it would become free
product or service it would become free
product or service it would become free in the past we were faced with scarcity
in the past we were faced with scarcity
in the past we were faced with scarcity but imagine an abundance economy what
but imagine an abundance economy what
but imagine an abundance economy what little cost that remains would be
little cost that remains would be
little cost that remains would be eliminated by the market and by
eliminated by the market and by
eliminated by the market and by competition if we could make those
competition if we could make those
competition if we could make those industries that were essential for our
industries that were essential for our
industries that were essential for our survival ones with a minimum of human
survival ones with a minimum of human
survival ones with a minimum of human labour we would not need a universal
labour we would not need a universal
labour we would not need a universal basic income but we would achieve the
basic income but we would achieve the
basic income but we would achieve the same goal the products and services that
same goal the products and services that
same goal the products and services that we all need to survive could be provided
we all need to survive could be provided
we all need to survive could be provided through automation and we would all be
through automation and we would all be
through automation and we would all be free now I’d like to take this one step
free now I’d like to take this one step
free now I’d like to take this one step further and by way of example consider
further and by way of example consider
further and by way of example consider the production and distribution of food
the production and distribution of food
the production and distribution of food which as you know it’s already been
which as you know it’s already been
which as you know it’s already been hugely mechanised and so much so but a
hugely mechanised and so much so but a
hugely mechanised and so much so but a very small number of people can today
very small number of people can today
very small number of people can today create enough food to feed us all and
create enough food to feed us all and
create enough food to feed us all and that’s a fact we can grow enough food to
that’s a fact we can grow enough food to
that’s a fact we can grow enough food to feed the entire world’s population but
feed the entire world’s population but
feed the entire world’s population but we don’t because of money
we don’t because of money
we don’t because of money well the proportion of income we spend
well the proportion of income we spend
well the proportion of income we spend on feeding our families has shrunk to
on feeding our families has shrunk to
on feeding our families has shrunk to its lowest level across the entire
its lowest level across the entire
its lowest level across the entire population there was still those who
population there was still those who
population there was still those who were so poorly nourished they are no
were so poorly nourished they are no
were so poorly nourished they are no better off than their ancestors were
better off than their ancestors were
better off than their ancestors were centuries ago and I’m not just talking
centuries ago and I’m not just talking
centuries ago and I’m not just talking here about people who live in developing
here about people who live in developing
here about people who live in developing countries I’m talking about people who
countries I’m talking about people who
countries I’m talking about people who live amongst us
live amongst us
live amongst us a recent study found that one in six
a recent study found that one in six
a recent study found that one in six American households suffer from low food
American households suffer from low food
American households suffer from low food security and here in the UK it was
security and here in the UK it was
security and here in the UK it was estimated that half a million people
estimated that half a million people
estimated that half a million people found cause the resort’s of food banks
found cause the resort’s of food banks
found cause the resort’s of food banks just to survive it doesn’t have to be
just to survive it doesn’t have to be
just to survive it doesn’t have to be this way we can grow enough food the
this way we can grow enough food the
this way we can grow enough food the problem is and always will be cost with
problem is and always will be cost with
problem is and always will be cost with automation we could all have enough to
automation we could all have enough to
automation we could all have enough to be fed and healthy you see the problem
be fed and healthy you see the problem
be fed and healthy you see the problem is that modern farming methods require a
is that modern farming methods require a
is that modern farming methods require a high degree of homogeny fields they
high degree of homogeny fields they
high degree of homogeny fields they rectangular and large a single field
rectangular and large a single field
rectangular and large a single field contains a single crop because that is
contains a single crop because that is
contains a single crop because that is easier to manage
easier to manage
easier to manage they are sown on the same day and they
they are sown on the same day and they
they are sown on the same day and they are harvested on the same day because
are harvested on the same day because
are harvested on the same day because that is easier to manage and such high
that is easier to manage and such high
that is easier to manage and such high concentrations of single crops they skew
concentrations of single crops they skew
concentrations of single crops they skew the ecosystem and attract unnatural
the ecosystem and attract unnatural
the ecosystem and attract unnatural levels of pests and these are dealt with
levels of pests and these are dealt with
levels of pests and these are dealt with by a natural levels of pesticides we
by a natural levels of pesticides we
by a natural levels of pesticides we then leave our fields fallow one year
then leave our fields fallow one year
then leave our fields fallow one year and seven to recover and then the
and seven to recover and then the
and seven to recover and then the onslaught resumes the result is
onslaught resumes the result is
onslaught resumes the result is efficient but unnatural and the story
efficient but unnatural and the story
efficient but unnatural and the story for the animals who provide our food is
for the animals who provide our food is
for the animals who provide our food is yet bleaker than for our crops but it
yet bleaker than for our crops but it
yet bleaker than for our crops but it was not always like this if we step back
was not always like this if we step back
was not always like this if we step back in history we see the American the net
in history we see the American the net
in history we see the American the net the Native Americans they believed in
the Native Americans they believed in
the Native Americans they believed in this concept called the three sisters
this concept called the three sisters
this concept called the three sisters which were corn beans and squash you see
which were corn beans and squash you see
which were corn beans and squash you see they planted them together because they
they planted them together because they
they planted them together because they supported each other’s developments and
supported each other’s developments and
supported each other’s developments and there was also recognition in that
there was also recognition in that
there was also recognition in that culture for finding a balance between
culture for finding a balance between
culture for finding a balance between nourishing the population and the
nourishing the population and the
nourishing the population and the ecosystem that they relied on and back
ecosystem that they relied on and back
ecosystem that they relied on and back further we hunted what we could and
further we hunted what we could and
further we hunted what we could and gathered the rest nature dictated watts
gathered the rest nature dictated watts
gathered the rest nature dictated watts or how much could be grown species were
or how much could be grown species were
or how much could be grown species were left to diversify but no inch of the
left to diversify but no inch of the
left to diversify but no inch of the soil was not green we learned to farm
soil was not green we learned to farm
soil was not green we learned to farm not because there wasn’t enough food but
not because there wasn’t enough food but
not because there wasn’t enough food but to suit our tastes and to give better
to suit our tastes and to give better
to suit our tastes and to give better predictability to our existence farming
predictability to our existence farming
predictability to our existence farming then became necessary for the elite to
then became necessary for the elite to
then became necessary for the elite to be free and while the masses burdened
be free and while the masses burdened
be free and while the masses burdened we then mechanized it to free many more
we then mechanized it to free many more
we then mechanized it to free many more of the masses but if we would have fully
of the masses but if we would have fully
of the masses but if we would have fully automate it we could all be free I’d
automate it we could all be free I’d
automate it we could all be free I’d like you to just close your eyes for one
like you to just close your eyes for one
like you to just close your eyes for one moment and I like it to picture a world
moment and I like it to picture a world
moment and I like it to picture a world full of small autonomous drones which
full of small autonomous drones which
full of small autonomous drones which could hunt and gather for us using
could hunt and gather for us using
could hunt and gather for us using technology we already have today using
technology we already have today using
technology we already have today using machine vision they could see when it’s
machine vision they could see when it’s
machine vision they could see when it’s time to sow or when to reap using robot
time to sow or when to reap using robot
time to sow or when to reap using robot dexterity to plow or to harvest
dexterity to plow or to harvest
dexterity to plow or to harvest interconnected with an array of sensors
interconnected with an array of sensors
interconnected with an array of sensors and other devices that together would
and other devices that together would
and other devices that together would balance the needs of people with the
balance the needs of people with the
balance the needs of people with the needs of our planets you see the plants
needs of our planets you see the plants
needs of our planets you see the plants and animals that have been separated for
and animals that have been separated for
and animals that have been separated for millennia could once again be
millennia could once again be
millennia could once again be reintroduced together machines would
reintroduced together machines would
reintroduced together machines would simply take what the markets predicts we
simply take what the markets predicts we
simply take what the markets predicts we want and when we need it
want and when we need it
want and when we need it just-in-time delivery like Toyotas
just-in-time delivery like Toyotas
just-in-time delivery like Toyotas assembly line but for food instead could
assembly line but for food instead could
assembly line but for food instead could you see them what’s amazing is when you
you see them what’s amazing is when you
you see them what’s amazing is when you leave humans in the loop we’re stuck
leave humans in the loop we’re stuck
leave humans in the loop we’re stuck with the old way that we’ve been doing
with the old way that we’ve been doing
with the old way that we’ve been doing things but as soon as you take people
things but as soon as you take people
things but as soon as you take people out of the production process new
out of the production process new
out of the production process new possibilities suddenly emerge and what I
possibilities suddenly emerge and what I
possibilities suddenly emerge and what I find fascinating is how technology could
find fascinating is how technology could
find fascinating is how technology could help us get back to living how the
help us get back to living how the
help us get back to living how the ancients lived but it’s scale
agriculture and it’s agriculture has
agriculture and it’s agriculture has driven technology throughout human
driven technology throughout human
driven technology throughout human history and the next step down that road
history and the next step down that road
history and the next step down that road will soon be taken with autonomous
will soon be taken with autonomous
will soon be taken with autonomous trucks driving the labor out of the
trucks driving the labor out of the
trucks driving the labor out of the supply chain and other jobs will soon
supply chain and other jobs will soon
supply chain and other jobs will soon follow
follow
follow but if we encourage and not resist the
but if we encourage and not resist the
but if we encourage and not resist the pace of change particularly in essential
pace of change particularly in essential
pace of change particularly in essential industries the very goods and services
industries the very goods and services
industries the very goods and services that we all need to survive could be
that we all need to survive could be
that we all need to survive could be provided for free and so that takes me
provided for free and so that takes me
provided for free and so that takes me to the third step and this is the hard
to the third step and this is the hard
to the third step and this is the hard one well I don’t believe that ubi is the
one well I don’t believe that ubi is the
one well I don’t believe that ubi is the answer because it creates the risk of
answer because it creates the risk of
answer because it creates the risk of locking in a permanent state of
locking in a permanent state of
locking in a permanent state of inequality I did say that I felt it had
inequality I did say that I felt it had
inequality I did say that I felt it had one great strengths it helps people make
one great strengths it helps people make
one great strengths it helps people make the distinction between jobs and work
the distinction between jobs and work
the distinction between jobs and work and so in a world where so many of us
and so in a world where so many of us
and so in a world where so many of us define who we are by the jobs that we
define who we are by the jobs that we
define who we are by the jobs that we hold it is hard to accept a future where
hold it is hard to accept a future where
hold it is hard to accept a future where there is a threats of that which gives
there is a threats of that which gives
there is a threats of that which gives us purpose but jobs don’t give us
us purpose but jobs don’t give us
us purpose but jobs don’t give us purpose they give us income meaning
purpose they give us income meaning
purpose they give us income meaning comes from the authenticity of human
comes from the authenticity of human
comes from the authenticity of human touch connection and experience so we
touch connection and experience so we
touch connection and experience so we may deny the robots will steal our jobs
may deny the robots will steal our jobs
may deny the robots will steal our jobs because somehow our chosen profession is
because somehow our chosen profession is
because somehow our chosen profession is different well we may be scared of the
different well we may be scared of the
different well we may be scared of the robots and fight against a change but
robots and fight against a change but
robots and fight against a change but underneath what we’re not acknowledging
underneath what we’re not acknowledging
underneath what we’re not acknowledging is that which is really scary but to
is that which is really scary but to
is that which is really scary but to create lives of meaning and purpose in
create lives of meaning and purpose in
create lives of meaning and purpose in spheres outside of our jobs is hard and
spheres outside of our jobs is hard and
spheres outside of our jobs is hard and so remember there are three steps to
so remember there are three steps to
so remember there are three steps to surviving the robot revolution the first
surviving the robot revolution the first
surviving the robot revolution the first is to acknowledge the likelihood of
is to acknowledge the likelihood of
is to acknowledge the likelihood of unemployability and next we can
unemployability and next we can
unemployability and next we can reimagine the economics and we must if
reimagine the economics and we must if
reimagine the economics and we must if we’re going to survive this shift and
we’re going to survive this shift and
we’re going to survive this shift and the third a wise friends once helped me
the third a wise friends once helped me
the third a wise friends once helped me see that what I needed was to weave our
see that what I needed was to weave our
see that what I needed was to weave our threads through the passions of my spare
threads through the passions of my spare
threads through the passions of my spare time and also into my career and if I
time and also into my career and if I
time and also into my career and if I could do this it would help me hold the
could do this it would help me hold the
could do this it would help me hold the balance between the various jobs in my
balance between the various jobs in my
balance between the various jobs in my life and the gaps between
life and the gaps between
life and the gaps between and so the third step is to find that
and so the third step is to find that
and so the third step is to find that thread and weave it through your life in
thread and weave it through your life in
thread and weave it through your life in a world where you did not need a job to
a world where you did not need a job to
a world where you did not need a job to survive what might you dream of doing
survive what might you dream of doing
survive what might you dream of doing and what might your purpose become mine
and what might your purpose become mine
and what might your purpose become mine is to help people face their fear in
is to help people face their fear in
is to help people face their fear in technology and to start conversations
technology and to start conversations
technology and to start conversations about the opportunities for us if we
about the opportunities for us if we
about the opportunities for us if we could just get it right I can imagine
could just get it right I can imagine
could just get it right I can imagine the future where none of us need go
the future where none of us need go
the future where none of us need go hungry again might be just around the
hungry again might be just around the
hungry again might be just around the corner
corner
corner what can you imagine thank you
”
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