in just three months we’ll have another batch of graduates leave this University
batch of graduates leave this University
batch of graduates leave this University and go out into the working world and as
and go out into the working world and as
and go out into the working world and as they look back in the first five years
they look back in the first five years
they look back in the first five years of their career in the half decade ahead
of their career in the half decade ahead
of their career in the half decade ahead and as all of us look back and the
and as all of us look back and the
and as all of us look back and the evolution of our careers in the coming
evolution of our careers in the coming
evolution of our careers in the coming years I think we’ll have a lot to say
years I think we’ll have a lot to say
years I think we’ll have a lot to say about how technology and artificial
about how technology and artificial
about how technology and artificial intelligence affected our work maybe
intelligence affected our work maybe
intelligence affected our work maybe we’ll say that it helped to augment our
we’ll say that it helped to augment our
we’ll say that it helped to augment our skills we got the more done with the
skills we got the more done with the
skills we got the more done with the same amount of input maybe we’ll be able
same amount of input maybe we’ll be able
same amount of input maybe we’ll be able to say that AI help to automate some of
to say that AI help to automate some of
to say that AI help to automate some of the more boring or monotonous aspects of
the more boring or monotonous aspects of
the more boring or monotonous aspects of our work and we got to focus on more
our work and we got to focus on more
our work and we got to focus on more creative tasks in my line of work I have
creative tasks in my line of work I have
creative tasks in my line of work I have people ask will AI take our jobs and so
people ask will AI take our jobs and so
people ask will AI take our jobs and so it’s an interesting question what are
it’s an interesting question what are
it’s an interesting question what are the jobs that are safe in the next
the jobs that are safe in the next
the jobs that are safe in the next decade and which are the ones that are
decade and which are the ones that are
decade and which are the ones that are maybe ripe for automation my business
maybe ripe for automation my business
maybe ripe for automation my business tech emergence focuses on the impact of
tech emergence focuses on the impact of
tech emergence focuses on the impact of artificial intelligence and different
artificial intelligence and different
artificial intelligence and different business sectors so this is what we
business sectors so this is what we
business sectors so this is what we study lucky enough to talk to AI leaders
study lucky enough to talk to AI leaders
study lucky enough to talk to AI leaders at Silicon Valley giant companies like
at Silicon Valley giant companies like
at Silicon Valley giant companies like the headquarters of Facebook and Airbnb
the headquarters of Facebook and Airbnb
the headquarters of Facebook and Airbnb and a lot of these companies you folks
and a lot of these companies you folks
and a lot of these companies you folks might know but also to speak with the
might know but also to speak with the
might know but also to speak with the researchers in this domain the people
researchers in this domain the people
researchers in this domain the people working on the hard science of
working on the hard science of
working on the hard science of artificial intelligence and our last
artificial intelligence and our last
artificial intelligence and our last poll asking about AI risk to these
poll asking about AI risk to these
poll asking about AI risk to these researchers in this case a little bit
researchers in this case a little bit
researchers in this case a little bit over 30 PhDs in the AI domain we asked
over 30 PhDs in the AI domain we asked
over 30 PhDs in the AI domain we asked them in the next 20 years what are the
them in the next 20 years what are the
them in the next 20 years what are the greatest risks to society that AI might
greatest risks to society that AI might
greatest risks to society that AI might posit and the biggest cluster was around
posit and the biggest cluster was around
posit and the biggest cluster was around automation the economy sort of job
automation the economy sort of job
automation the economy sort of job market concerns roughly speaking not
market concerns roughly speaking not
market concerns roughly speaking not quite as bad as it could be as you can
quite as bad as it could be as you can
quite as bad as it could be as you can see you know got about four folks in the
see you know got about four folks in the
see you know got about four folks in the killer robot category so personally I’d
killer robot category so personally I’d
killer robot category so personally I’d much rather not have a job than you know
much rather not have a job than you know
much rather not have a job than you know be killed by a robot so automation and
be killed by a robot so automation and
be killed by a robot so automation and the job market was sort of the biggest
the job market was sort of the biggest
the job market was sort of the biggest cluster of the folks who did respond who
cluster of the folks who did respond who
cluster of the folks who did respond who felt confident enough to positive guests
felt confident enough to positive guests
felt confident enough to positive guests mostly professors MIT University
mostly professors MIT University
mostly professors MIT University Montreal etc that was the category where
Montreal etc that was the category where
Montreal etc that was the category where they put a lot of the risk and so my
they put a lot of the risk and so my
they put a lot of the risk and so my work was in 12 minutes to sort of
work was in 12 minutes to sort of
work was in 12 minutes to sort of distill hundreds of surveys like this
distill hundreds of surveys like this
distill hundreds of surveys like this and hundreds and hundreds more
and hundreds and hundreds more
and hundreds and hundreds more interviews into some core concepts
interviews into some core concepts
interviews into some core concepts around what demonstrates
around what demonstrates
around what demonstrates job security and what what leaves
job security and what what leaves
job security and what what leaves something ripe for automation and I’ve
something ripe for automation and I’ve
something ripe for automation and I’ve tried to boil it down into three
tried to boil it down into three
tried to boil it down into three concepts and so we’ll dive into the
concepts and so we’ll dive into the
concepts and so we’ll dive into the first one the first one I think about as
first one the first one I think about as
first one the first one I think about as context so I’ll frame this into some
context so I’ll frame this into some
context so I’ll frame this into some examples so there’s limited context
examples so there’s limited context
examples so there’s limited context roles and there’s broad or varied
roles and there’s broad or varied
roles and there’s broad or varied context roles you might think about in
context roles you might think about in
context roles you might think about in the domain of welding for example if you
the domain of welding for example if you
the domain of welding for example if you weld on an automation line in some sense
weld on an automation line in some sense
weld on an automation line in some sense you get a certain kind of input you do a
you get a certain kind of input you do a
you get a certain kind of input you do a certain kind of work and you send it off
certain kind of work and you send it off
certain kind of work and you send it off in the other end you have again a
in the other end you have again a
in the other end you have again a certain number of things that come to
certain number of things that come to
certain number of things that come to you a certain number of things that you
you a certain number of things that you
you a certain number of things that you do and a thing that you produce this is
do and a thing that you produce this is
do and a thing that you produce this is the kind of work that machines tend to
the kind of work that machines tend to
the kind of work that machines tend to be rather good at even before artificial
be rather good at even before artificial
be rather good at even before artificial intelligence this is the low-hanging
intelligence this is the low-hanging
intelligence this is the low-hanging fruit for automation that’s not really
fruit for automation that’s not really
fruit for automation that’s not really gonna change that’s certainly going to
gonna change that’s certainly going to
gonna change that’s certainly going to uptick in the years ahead but people
uptick in the years ahead but people
uptick in the years ahead but people think that often it’s blue-collar work
think that often it’s blue-collar work
think that often it’s blue-collar work that’s the most automatable definitely
that’s the most automatable definitely
that’s the most automatable definitely not the case there’s plenty of extremely
not the case there’s plenty of extremely
not the case there’s plenty of extremely varied context quote/unquote blue-collar
varied context quote/unquote blue-collar
varied context quote/unquote blue-collar work one example might be in plumbing
work one example might be in plumbing
work one example might be in plumbing for example so my best friend growing up
for example so my best friend growing up
for example so my best friend growing up in this small town is actually a plumber
in this small town is actually a plumber
in this small town is actually a plumber he receives Josh I had coffee with him
he receives Josh I had coffee with him
he receives Josh I had coffee with him this morning and that’s a role that
this morning and that’s a role that
this morning and that’s a role that doesn’t have a certain number of inputs
doesn’t have a certain number of inputs
doesn’t have a certain number of inputs a certain kind of work certain kind of
a certain kind of work certain kind of
a certain kind of work certain kind of outputs when you show up at a house you
outputs when you show up at a house you
outputs when you show up at a house you don’t know what to do you ask when was
don’t know what to do you ask when was
don’t know what to do you ask when was this boiler installed
this boiler installed
this boiler installed what are your pipes made out of and has
what are your pipes made out of and has
what are your pipes made out of and has this issue happened in the summer is
this issue happened in the summer is
this issue happened in the summer is this only after the cold spike only
this only after the cold spike only
this only after the cold spike only after those kind of questions can you
after those kind of questions can you
after those kind of questions can you start to figure out what to even
start to figure out what to even
start to figure out what to even diagnose before you know what to do lots
diagnose before you know what to do lots
diagnose before you know what to do lots of context there lots of physical
of context there lots of physical
of context there lots of physical dexterity tough work for machines when
dexterity tough work for machines when
dexterity tough work for machines when we finally do have machines that can
we finally do have machines that can
we finally do have machines that can roll up to your house knock on your door
roll up to your house knock on your door
roll up to your house knock on your door ask you how the day is doing and go in
ask you how the day is doing and go in
ask you how the day is doing and go in your basement and fix your pipes we’ll
your basement and fix your pipes we’ll
your basement and fix your pipes we’ll have much bigger concerns than job
have much bigger concerns than job
have much bigger concerns than job security we’ll have a species dominance
security we’ll have a species dominance
security we’ll have a species dominance issues going on at that point which
issues going on at that point which
issues going on at that point which which I think I think we have a couple
which I think I think we have a couple
which I think I think we have a couple years before we really have to grapple
years before we really have to grapple
years before we really have to grapple with thank goodness so moving on we’ll
with thank goodness so moving on we’ll
with thank goodness so moving on we’ll get into the white collar space actually
get into the white collar space actually
get into the white collar space actually a lot of where I am in the Bay Area a
a lot of where I am in the Bay Area a
a lot of where I am in the Bay Area a lot of the work being done on AI and
lot of the work being done on AI and
lot of the work being done on AI and industries being done in the white
industries being done in the white
industries being done in the white collar automation world and so a lot of
collar automation world and so a lot of
collar automation world and so a lot of people think that inherently jobs that
people think that inherently jobs that
people think that inherently jobs that are better paid that work with data for
are better paid that work with data for
are better paid that work with data for some reason are safer not necessarily
some reason are safer not necessarily
some reason are safer not necessarily the case so if you’re an auditor for
the case so if you’re an auditor for
the case so if you’re an auditor for example you look at financial reports
example you look at financial reports
example you look at financial reports you sort of look for certain kinds of
you sort of look for certain kinds of
you sort of look for certain kinds of discrepancies and
discrepancies and
discrepancies and and then you pass it along and the
and then you pass it along and the
and then you pass it along and the auditing workflow in some way shape or
auditing workflow in some way shape or
auditing workflow in some way shape or form even at a high pay grade and not in
form even at a high pay grade and not in
form even at a high pay grade and not in any way demeaning that kind of labor to
any way demeaning that kind of labor to
any way demeaning that kind of labor to some degree there are machines that will
some degree there are machines that will
some degree there are machines that will figure out how to read those in numbers
figure out how to read those in numbers
figure out how to read those in numbers and find those discrepancies and there’s
and find those discrepancies and there’s
and find those discrepancies and there’s a lot of work actually in the
a lot of work actually in the
a lot of work actually in the bookkeeping accounting auditing space in
bookkeeping accounting auditing space in
bookkeeping accounting auditing space in terms of current automation efforts a
terms of current automation efforts a
terms of current automation efforts a lot of work that just involves handling
lot of work that just involves handling
lot of work that just involves handling and processing data even high-paid stuff
and processing data even high-paid stuff
and processing data even high-paid stuff 7080 K salaries there’s companies going
7080 K salaries there’s companies going
7080 K salaries there’s companies going after that um but there’s varied context
after that um but there’s varied context
after that um but there’s varied context work in the white-collar world it’s much
work in the white-collar world it’s much
work in the white-collar world it’s much harder to automate so if you work in the
harder to automate so if you work in the
harder to automate so if you work in the same finance department you look at the
same finance department you look at the
same finance department you look at the same finance reports but you also make
same finance reports but you also make
same finance reports but you also make decisions for purchasing so for example
decisions for purchasing so for example
decisions for purchasing so for example you don’t just look at you know where
you don’t just look at you know where
you don’t just look at you know where are we spending our money and what does
are we spending our money and what does
are we spending our money and what does that mean and look for those
that mean and look for those
that mean and look for those discrepancies but you think about what
discrepancies but you think about what
discrepancies but you think about what does that mean for how many materials we
does that mean for how many materials we
does that mean for how many materials we need to purchase what does it mean for
need to purchase what does it mean for
need to purchase what does it mean for what suppliers we should work with and
what suppliers we should work with and
what suppliers we should work with and how can those purchasing decisions and
how can those purchasing decisions and
how can those purchasing decisions and those varied suppliers and products
those varied suppliers and products
those varied suppliers and products affect our the goals for profit margins
affect our the goals for profit margins
affect our the goals for profit margins for this quarter for example that’s a
for this quarter for example that’s a
for this quarter for example that’s a lot of moving parts that’s negotiating
lot of moving parts that’s negotiating
lot of moving parts that’s negotiating this is this is safely in the purview of
this is this is safely in the purview of
this is this is safely in the purview of humans much much broader context that
humans much much broader context that
humans much much broader context that we’re working in even if they get paid
we’re working in even if they get paid
we’re working in even if they get paid about the same I will say to end on the
about the same I will say to end on the
about the same I will say to end on the context point it’s probably the most
context point it’s probably the most
context point it’s probably the most salient single point that I got from all
salient single point that I got from all
salient single point that I got from all of my interviews that if it’s possible
of my interviews that if it’s possible
of my interviews that if it’s possible for you to be in a nook where you get a
for you to be in a nook where you get a
for you to be in a nook where you get a certain kind of inflow you’d do a
certain kind of inflow you’d do a
certain kind of inflow you’d do a certain kind of work and you have a
certain kind of work and you have a
certain kind of work and you have a certain kind of output and have the
certain kind of output and have the
certain kind of output and have the changes in the industry and the changes
changes in the industry and the changes
changes in the industry and the changes in the nature of your customer passed
in the nature of your customer passed
in the nature of your customer passed you by without you knowing because
you by without you knowing because
you by without you knowing because you’re facedown it’s very very easy to
you’re facedown it’s very very easy to
you’re facedown it’s very very easy to be left behind in the job field this is
be left behind in the job field this is
be left behind in the job field this is a extremely salient point and there’s a
a extremely salient point and there’s a
a extremely salient point and there’s a comfort to that because the world is
comfort to that because the world is
comfort to that because the world is complex negotiations complex other
complex negotiations complex other
complex negotiations complex other humans are complex and there’s a there’s
humans are complex and there’s a there’s
humans are complex and there’s a there’s a comfort but there’s also a real
a comfort but there’s also a real
a comfort but there’s also a real helplessness with having someone else in
helplessness with having someone else in
helplessness with having someone else in the organization handle the complexities
the organization handle the complexities
the organization handle the complexities of the market and you just have a job
of the market and you just have a job
of the market and you just have a job but the the big takeaway for me and
but the the big takeaway for me and
but the the big takeaway for me and really listening to maybe 60 of these
really listening to maybe 60 of these
really listening to maybe 60 of these interviews was that if you want to see
interviews was that if you want to see
interviews was that if you want to see your interests represented in your
your interests represented in your
your interests represented in your industry your own interests your own
industry your own interests your own
industry your own interests your own career represented your industry you
career represented your industry you
career represented your industry you have to have your hands around the ugly
have to have your hands around the ugly
have to have your hands around the ugly messy real context of what’s changing if
messy real context of what’s changing if
messy real context of what’s changing if you want to stay relevant but luckily
you want to stay relevant but luckily
you want to stay relevant but luckily there are some things outside of just
there are some things outside of just
there are some things outside of just context that are pretty safely in the
context that are pretty safely in the
context that are pretty safely in the human world working with people is a big
human world working with people is a big
human world working with people is a big part of this but it’s not all working
part of this but it’s not all working
part of this but it’s not all working with people there are some people work
with people there are some people work
with people there are some people work that
that
that kind of low-hanging fruit for automation
kind of low-hanging fruit for automation
kind of low-hanging fruit for automation if you work in a call center if you’re a
if you work in a call center if you’re a
if you work in a call center if you’re a checkout clerk there’s companies gunning
checkout clerk there’s companies gunning
checkout clerk there’s companies gunning for you right now in a real real big way
for you right now in a real real big way
for you right now in a real real big way in the next half a decade not exactly
in the next half a decade not exactly
in the next half a decade not exactly safe places to be but in terms of human
safe places to be but in terms of human
safe places to be but in terms of human work I break it down into two categories
work I break it down into two categories
work I break it down into two categories here coordination is a big one if you
here coordination is a big one if you
here coordination is a big one if you manage other people manage a sales team
manage other people manage a sales team
manage other people manage a sales team for example you’ve got to work with
for example you’ve got to work with
for example you’ve got to work with other people you’ve got a martial
other people you’ve got a martial
other people you’ve got a martial company resources martial technologies
company resources martial technologies
company resources martial technologies to reach company goals this is a
to reach company goals this is a
to reach company goals this is a challenging complex task and it’s more
challenging complex task and it’s more
challenging complex task and it’s more than machines can really manage in many
than machines can really manage in many
than machines can really manage in many regards similarly speaking connection
regards similarly speaking connection
regards similarly speaking connection might not involve management in the same
might not involve management in the same
might not involve management in the same way but if you’re a schoolteacher if you
way but if you’re a schoolteacher if you
way but if you’re a schoolteacher if you are a high-level b2b sales person if you
are a high-level b2b sales person if you
are a high-level b2b sales person if you are a nurse and connecting with other
are a nurse and connecting with other
are a nurse and connecting with other people i – i handshake etc is a critical
people i – i handshake etc is a critical
people i – i handshake etc is a critical part of your role and you’re good at
part of your role and you’re good at
part of your role and you’re good at that that’s tough for machines to take
that that’s tough for machines to take
that that’s tough for machines to take away again when you’re kindergartener
away again when you’re kindergartener
away again when you’re kindergartener you know goes to school to bring an
you know goes to school to bring an
you know goes to school to bring an apple to the indistinguishably
apple to the indistinguishably
apple to the indistinguishably human-like robot teacher who shows
human-like robot teacher who shows
human-like robot teacher who shows affection to it and Vicey Versey we have
affection to it and Vicey Versey we have
affection to it and Vicey Versey we have much bigger issues than job security
much bigger issues than job security
much bigger issues than job security Steve’s Gees dominant stuff coming up so
Steve’s Gees dominant stuff coming up so
Steve’s Gees dominant stuff coming up so um these are these are big and important
um these are these are big and important
um these are these are big and important points that I think should come to the
points that I think should come to the
points that I think should come to the fore when it comes to working with
fore when it comes to working with
fore when it comes to working with people these are kind of the major
people these are kind of the major
people these are kind of the major categories that come up time and time
categories that come up time and time
categories that come up time and time again and the way I think about it is
again and the way I think about it is
again and the way I think about it is that when my grandmother was working
that when my grandmother was working
that when my grandmother was working over the course of her whole career at
over the course of her whole career at
over the course of her whole career at some point there was a critical moment
some point there was a critical moment
some point there was a critical moment where she had to learn how to use a
where she had to learn how to use a
where she had to learn how to use a typewriter and fortunately she had the
typewriter and fortunately she had the
typewriter and fortunately she had the brain pirate do that and she did that
brain pirate do that and she did that
brain pirate do that and she did that and that was that was a juncture of kind
and that was that was a juncture of kind
and that was that was a juncture of kind of getting to the next level in her own
of getting to the next level in her own
of getting to the next level in her own career in many of our spaces you have to
career in many of our spaces you have to
career in many of our spaces you have to learn a new technology tool every three
learn a new technology tool every three
learn a new technology tool every three months or so the rolling process of
months or so the rolling process of
months or so the rolling process of creative destruction is moving faster
creative destruction is moving faster
creative destruction is moving faster and faster and staying ahead of that is
and faster and staying ahead of that is
and faster and staying ahead of that is a big reason why keeping a grasp on
a big reason why keeping a grasp on
a big reason why keeping a grasp on context is critical but the evolution of
context is critical but the evolution of
context is critical but the evolution of technology in our era will be more than
technology in our era will be more than
technology in our era will be more than just upgrades in our tools of what we
just upgrades in our tools of what we
just upgrades in our tools of what we use for work it’ll involve different
use for work it’ll involve different
use for work it’ll involve different ways to relate and indeed live as human
ways to relate and indeed live as human
ways to relate and indeed live as human beings so as artificial intelligence
beings so as artificial intelligence
beings so as artificial intelligence progresses we will have programs that
progresses we will have programs that
progresses we will have programs that preempt our needs and take actions on
preempt our needs and take actions on
preempt our needs and take actions on our behalf
our behalf
our behalf virtual reality combined with AI will be
virtual reality combined with AI will be
virtual reality combined with AI will be a place where we’ll be able to go
a place where we’ll be able to go
a place where we’ll be able to go instead of having all these kinds of
instead of having all these kinds of
instead of having all these kinds of monitors we’ll have everything we need
monitors we’ll have everything we need
monitors we’ll have everything we need displayed in front of us entertainment
displayed in front of us entertainment
displayed in front of us entertainment and work in interfaces that we can’t
and work in interfaces that we can’t
and work in interfaces that we can’t even currently imagine right now and
even currently imagine right now and
even currently imagine right now and brain machine interface in the next 20
brain machine interface in the next 20
brain machine interface in the next 20 or 30 years
or 30 years
or 30 years I think it’s going to become a much
I think it’s going to become a much
I think it’s going to become a much bigger deal already today for more than
bigger deal already today for more than
bigger deal already today for more than a decade folks with severe depression
a decade folks with severe depression
a decade folks with severe depression can get electrodes drilled through their
can get electrodes drilled through their
can get electrodes drilled through their skull and into their pleasure centers in
skull and into their pleasure centers in
skull and into their pleasure centers in order to keep stave off thoughts of
order to keep stave off thoughts of
order to keep stave off thoughts of suicide and an alleviate really extreme
suicide and an alleviate really extreme
suicide and an alleviate really extreme depression and folks born without the
depression and folks born without the
depression and folks born without the ability to hear can have brain stem
ability to hear can have brain stem
ability to hear can have brain stem implants to grant them a sense that they
implants to grant them a sense that they
implants to grant them a sense that they were never born with to see videos of
were never born with to see videos of
were never born with to see videos of this it’s pretty beautiful stuff but in
this it’s pretty beautiful stuff but in
this it’s pretty beautiful stuff but in the decades ahead as we evolve more in
the decades ahead as we evolve more in
the decades ahead as we evolve more in altering our emotion altering our senses
altering our emotion altering our senses
altering our emotion altering our senses these will be bigger questions than what
these will be bigger questions than what
these will be bigger questions than what are we doing with these tools but more
are we doing with these tools but more
are we doing with these tools but more of what are we turning ourselves into
of what are we turning ourselves into
of what are we turning ourselves into when VR becomes a more important place
when VR becomes a more important place
when VR becomes a more important place than the real world when artificial
than the real world when artificial
than the real world when artificial intelligence manages businesses or
intelligence manages businesses or
intelligence manages businesses or states and when we can alter happiness
states and when we can alter happiness
states and when we can alter happiness and intelligence itself will we do that
and intelligence itself will we do that
and intelligence itself will we do that I think for better for worse we probably
I think for better for worse we probably
I think for better for worse we probably will and we should probably grapple with
will and we should probably grapple with
will and we should probably grapple with it and these are as we’re frantically
it and these are as we’re frantically
it and these are as we’re frantically kind of moving around an increasingly
kind of moving around an increasingly
kind of moving around an increasingly virtual world I think there will be an
virtual world I think there will be an
virtual world I think there will be an increasing shift towards control in the
increasing shift towards control in the
increasing shift towards control in the physical world particularly in what’s
physical world particularly in what’s
physical world particularly in what’s most important and increasingly more
most important and increasingly more
most important and increasingly more important in the physical world which is
important in the physical world which is
important in the physical world which is the computing that houses the virtual
the computing that houses the virtual
the computing that houses the virtual experiences the computing that houses
experiences the computing that houses
experiences the computing that houses the intelligence of our increasingly
the intelligence of our increasingly
the intelligence of our increasingly super intelligent machines a decade two
super intelligent machines a decade two
super intelligent machines a decade two decades out the machines that house the
decades out the machines that house the
decades out the machines that house the experiences piped in and out of brains
experiences piped in and out of brains
experiences piped in and out of brains 20 years from now in brain machine
20 years from now in brain machine
20 years from now in brain machine interface that’s so the notion of
interface that’s so the notion of
interface that’s so the notion of playing God when this becomes more than
playing God when this becomes more than
playing God when this becomes more than kind of a play on words I think there’s
kind of a play on words I think there’s
kind of a play on words I think there’s there’s organizations and nations that
there’s organizations and nations that
there’s organizations and nations that are going to be very very interested in
are going to be very very interested in
are going to be very very interested in taking that seriously and more or less
taking that seriously and more or less
taking that seriously and more or less as we sort of move forward into the
as we sort of move forward into the
as we sort of move forward into the future I think that’s going to be a
future I think that’s going to be a
future I think that’s going to be a concern that maybe we’re not quite
concern that maybe we’re not quite
concern that maybe we’re not quite prepared with but fortunately these
prepared with but fortunately these
prepared with but fortunately these these aren’t things that most of us are
these aren’t things that most of us are
these aren’t things that most of us are gonna have to grapple with on a day to
gonna have to grapple with on a day to
gonna have to grapple with on a day to day basis you know for us if in the
day basis you know for us if in the
day basis you know for us if in the future the entertainments good and we
future the entertainments good and we
future the entertainments good and we got a job that’s kind of what matters
got a job that’s kind of what matters
got a job that’s kind of what matters you know job security if we’re getting
you know job security if we’re getting
you know job security if we’re getting our paycheck we don’t really have to
our paycheck we don’t really have to
our paycheck we don’t really have to grapple with the ultimate complexities
grapple with the ultimate complexities
grapple with the ultimate complexities of sort of the future of the human
of sort of the future of the human
of sort of the future of the human condition
condition
condition but you’d think if we have the will to
but you’d think if we have the will to
but you’d think if we have the will to do whatever it takes to make sure we
do whatever it takes to make sure we
do whatever it takes to make sure we keep a job for ourselves maybe we could
keep a job for ourselves maybe we could
keep a job for ourselves maybe we could direct a bit of that effort towards
direct a bit of that effort towards
direct a bit of that effort towards directing the great creative destructive
directing the great creative destructive
directing the great creative destructive waive that well not just overhaul
waive that well not just overhaul
waive that well not just overhaul careers will over call what overhaul
careers will over call what overhaul
careers will over call what overhaul what it is to be human and maybe the
what it is to be human and maybe the
what it is to be human and maybe the nuke that we hide in and could be left
nuke that we hide in and could be left
nuke that we hide in and could be left behind in is our job security look and
behind in is our job security look and
behind in is our job security look and maybe there’s a context in ugly complex
maybe there’s a context in ugly complex
maybe there’s a context in ugly complex context of the human condition that we
context of the human condition that we
context of the human condition that we should wrap our hands around if we want
should wrap our hands around if we want
should wrap our hands around if we want to ensure our interests are represented
to ensure our interests are represented
to ensure our interests are represented in the future of our species that’s all
in the future of our species that’s all
in the future of our species that’s all I got
I got
I got [Applause]
”
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