my name is Robin vesta hider and I am an entrepreneur as a teenager I wanted to
entrepreneur as a teenager I wanted to
entrepreneur as a teenager I wanted to do something good I wanted to change the
do something good I wanted to change the
do something good I wanted to change the world and I went into politics who have
world and I went into politics who have
world and I went into politics who have a couple of years I realized that
a couple of years I realized that
a couple of years I realized that politics is not the best way to do
politics is not the best way to do
politics is not the best way to do something good for society and not the
something good for society and not the
something good for society and not the fastest so instead I chose to become an
fastest so instead I chose to become an
fastest so instead I chose to become an entrepreneur and I went to this business
entrepreneur and I went to this business
entrepreneur and I went to this business school here to learn how to be one and
school here to learn how to be one and
school here to learn how to be one and afterwards I went to Berlin and to start
afterwards I went to Berlin and to start
afterwards I went to Berlin and to start software companies and over the years
software companies and over the years
software companies and over the years have been involved in 35 software
have been involved in 35 software
have been involved in 35 software companies as a founder and as an
companies as a founder and as an
companies as a founder and as an investor at the sometime I’m a nerd so I
investor at the sometime I’m a nerd so I
investor at the sometime I’m a nerd so I love science fiction I love books and
love science fiction I love books and
love science fiction I love books and movies and all this and it never left me
movies and all this and it never left me
movies and all this and it never left me so over the years was able to find my
so over the years was able to find my
so over the years was able to find my passion in helping companies from
passion in helping companies from
passion in helping companies from becoming science fiction to science
becoming science fiction to science
becoming science fiction to science facts that’s why I’m here today to speak
facts that’s why I’m here today to speak
facts that’s why I’m here today to speak about you that AI is eating our world
about you that AI is eating our world
about you that AI is eating our world and that we should be happy about it
and that we should be happy about it
and that we should be happy about it good artificial intelligence be the last
good artificial intelligence be the last
good artificial intelligence be the last invention of humankind some say well
invention of humankind some say well
invention of humankind some say well let’s say yes it’s the easy answer um
let’s say yes it’s the easy answer um
let’s say yes it’s the easy answer um some say well it could be the end
some say well it could be the end
some say well it could be the end because it will destroy us in Lamaze
because it will destroy us in Lamaze
because it will destroy us in Lamaze Stephen Hawking Bill Gates they’re
Stephen Hawking Bill Gates they’re
Stephen Hawking Bill Gates they’re warning us but on the other hand we have
warning us but on the other hand we have
warning us but on the other hand we have people like right quotes will appear to
people like right quotes will appear to
people like right quotes will appear to do mentis who say no artificial
do mentis who say no artificial
do mentis who say no artificial intelligence will lead us in a in an age
intelligence will lead us in a in an age
intelligence will lead us in a in an age of prosperity abundance super long life
of prosperity abundance super long life
of prosperity abundance super long life so both as possible but it’s in our
so both as possible but it’s in our
so both as possible but it’s in our hands to choose our own fate and why is
hands to choose our own fate and why is
hands to choose our own fate and why is artificial intelligence popular again I
artificial intelligence popular again I
artificial intelligence popular again I mean the concept we already heard it is
mean the concept we already heard it is
mean the concept we already heard it is old the Greeks the Romans the Chinese
old the Greeks the Romans the Chinese
old the Greeks the Romans the Chinese they already had the idea of human-like
they already had the idea of human-like
they already had the idea of human-like machines today we understand on
machines today we understand on
machines today we understand on artificial intelligence software which
artificial intelligence software which
artificial intelligence software which is mimicking the human which is seeing
is mimicking the human which is seeing
is mimicking the human which is seeing the world like us as hearing the world
the world like us as hearing the world
the world like us as hearing the world like us it’s maybe thinking like us or
like us it’s maybe thinking like us or
like us it’s maybe thinking like us or supposed to look like us so in the last
supposed to look like us so in the last
supposed to look like us so in the last five years three
five years three
five years three came together which created a new high
came together which created a new high
came together which created a new high for deficient diligence it is a
for deficient diligence it is a
for deficient diligence it is a processing power it is data and it is
processing power it is data and it is
processing power it is data and it is machine learning we all know that
machine learning we all know that
machine learning we all know that computers used to be very very huge they
computers used to be very very huge they
computers used to be very very huge they used to fill whole rooms and by the same
used to fill whole rooms and by the same
used to fill whole rooms and by the same time very slow and very stupid but
time very slow and very stupid but
time very slow and very stupid but thanks to most law which is valid for
thanks to most law which is valid for
thanks to most law which is valid for the last 50 years every 18 months
the last 50 years every 18 months
the last 50 years every 18 months computers get double their speed and
computers get double their speed and
computers get double their speed and half the cost so imagine a world where
half the cost so imagine a world where
half the cost so imagine a world where everything is getting faster and faster
everything is getting faster and faster
everything is getting faster and faster and cheaper to just imagine your own
and cheaper to just imagine your own
and cheaper to just imagine your own brain would get better 18 every 18
brain would get better 18 every 18
brain would get better 18 every 18 months it will be very helpful
months it will be very helpful
months it will be very helpful especially for you well makes it easier
especially for you well makes it easier
especially for you well makes it easier so today every one of you has a super
so today every one of you has a super
so today every one of you has a super computer in your pocket in your phone so
computer in your pocket in your phone so
computer in your pocket in your phone so every one of you has already computers
every one of you has already computers
every one of you has already computers which are way more powerful than all
which are way more powerful than all
which are way more powerful than all these computers which filled whole rooms
these computers which filled whole rooms
these computers which filled whole rooms and this won’t stop so computers are
and this won’t stop so computers are
and this won’t stop so computers are getting faster first the second is the
getting faster first the second is the
getting faster first the second is the amount of data we generate is
amount of data we generate is
amount of data we generate is increasingly significant and this was
increasingly significant and this was
increasingly significant and this was the bottleneck for research in AI in the
the bottleneck for research in AI in the
the bottleneck for research in AI in the 80s but this is the reason why AI is
80s but this is the reason why AI is
80s but this is the reason why AI is going through the roof today why or with
going through the roof today why or with
going through the roof today why or with the internet and thanks to the internet
the internet and thanks to the internet
the internet and thanks to the internet and the mobile area whatever you do out
and the mobile area whatever you do out
and the mobile area whatever you do out there it is tracked where you go what do
there it is tracked where you go what do
there it is tracked where you go what do you eat when you sleep and so far also
you eat when you sleep and so far also
you eat when you sleep and so far also it’s measured whatever its measured and
it’s measured whatever its measured and
it’s measured whatever its measured and tracked is stored so we generate every
tracked is stored so we generate every
tracked is stored so we generate every year more data than before and this
year more data than before and this
year more data than before and this won’t stop so imagine the world we have
won’t stop so imagine the world we have
won’t stop so imagine the world we have very strong computers and a lot of data
very strong computers and a lot of data
very strong computers and a lot of data on what do you make with this and this
on what do you make with this and this
on what do you make with this and this is the reason why Google Apple Facebook
is the reason why Google Apple Facebook
is the reason why Google Apple Facebook Amazon why they invest billions into
Amazon why they invest billions into
Amazon why they invest billions into artificial intelligence because they
artificial intelligence because they
artificial intelligence because they have the service in the computing power
have the service in the computing power
have the service in the computing power and they have all the data and now they
and they have all the data and now they
and they have all the data and now they want to make more money with this and
want to make more money with this and
want to make more money with this and then we have progress and machine
then we have progress and machine
then we have progress and machine learning if you want to build an AI you
learning if you want to build an AI you
learning if you want to build an AI you have three ways to do it the good old AI
have three ways to do it the good old AI
have three ways to do it the good old AI is an expert system so you take the
is an expert system so you take the
is an expert system so you take the knowledge of humans write code and then
knowledge of humans write code and then
knowledge of humans write code and then the area I is able to combine this you
the area I is able to combine this you
the area I is able to combine this you know but whatever you want to have as a
know but whatever you want to have as a
know but whatever you want to have as a result you have to pre coat before the
result you have to pre coat before the
result you have to pre coat before the second way is the old way you use
second way is the old way you use
second way is the old way you use machine learning which means a little
machine learning which means a little
machine learning which means a little bit that you have a problem you look for
bit that you have a problem you look for
bit that you have a problem you look for an algorithm which fits the problem so
an algorithm which fits the problem so
an algorithm which fits the problem so for every problem you have an algorithm
for every problem you have an algorithm
for every problem you have an algorithm but the third field which hasn’t gotten
but the third field which hasn’t gotten
but the third field which hasn’t gotten resting which excites me the most is
resting which excites me the most is
resting which excites me the most is deep learning so deep learning on neural
deep learning so deep learning on neural
deep learning so deep learning on neural nets and layers and to make it easy you
nets and layers and to make it easy you
nets and layers and to make it easy you have two points yes and if the machine
have two points yes and if the machine
have two points yes and if the machine learns that something is right the path
learns that something is right the path
learns that something is right the path between this point is getting strengthen
between this point is getting strengthen
between this point is getting strengthen and if the machine learns that something
and if the machine learns that something
and if the machine learns that something is wrong the past between boards is
is wrong the past between boards is
is wrong the past between boards is getting weakened so with this he’ll open
getting weakened so with this he’ll open
getting weakened so with this he’ll open with you can build cognitive machines so
with you can build cognitive machines so
with you can build cognitive machines so present machines this exists is they
present machines this exists is they
present machines this exists is they gather their own data they run
gather their own data they run
gather their own data they run simulations and it used to be that they
simulations and it used to be that they
simulations and it used to be that they proposed execute you know some actions
proposed execute you know some actions
proposed execute you know some actions but today they don’t know human
but today they don’t know human
but today they don’t know human interaction anymore they execute on
interaction anymore they execute on
interaction anymore they execute on their own they measure the output and
their own they measure the output and
their own they measure the output and then they optimize again and they don’t
then they optimize again and they don’t
then they optimize again and they don’t do this like us step-by-step they can do
do this like us step-by-step they can do
do this like us step-by-step they can do this simultaneous peril they do this
this simultaneous peril they do this
this simultaneous peril they do this hundred thousand times within seconds so
hundred thousand times within seconds so
hundred thousand times within seconds so they learn very very fast at the same
they learn very very fast at the same
they learn very very fast at the same time these computers are like a black
time these computers are like a black
time these computers are like a black box we don’t know anymore what’s
box we don’t know anymore what’s
box we don’t know anymore what’s happening inside we know what’s flowing
happening inside we know what’s flowing
happening inside we know what’s flowing in what’s coming out but we don’t know
in what’s coming out but we don’t know
in what’s coming out but we don’t know what’s happened inside so we already
what’s happened inside so we already
what’s happened inside so we already lost control about the machines but this
lost control about the machines but this
lost control about the machines but this is the way how you know how they learn
is the way how you know how they learn
is the way how you know how they learn it’s the same about kids yes you can’t
it’s the same about kids yes you can’t
it’s the same about kids yes you can’t control what’s inside the kid anymore at
control what’s inside the kid anymore at
control what’s inside the kid anymore at the certain time because they have to
the certain time because they have to
the certain time because they have to learn on their own so that it will build
learn on their own so that it will build
learn on their own so that it will build cognitive machines machines who are able
cognitive machines machines who are able
cognitive machines machines who are able to learn and I call them narrow
to learn and I call them narrow
to learn and I call them narrow artificial intelligences there are
artificial intelligences there are
artificial intelligences there are artificial intelligences because they
artificial intelligences because they
artificial intelligences because they have a certain level of intelligence and
have a certain level of intelligence and
have a certain level of intelligence and honestly they are even better than we
honestly they are even better than we
honestly they are even better than we humans are in certain tasks once they
humans are in certain tasks once they
humans are in certain tasks once they are trained they are superior to us but
are trained they are superior to us but
are trained they are superior to us but they are narrow because they can’t
they are narrow because they can’t
they are narrow because they can’t transfer this knowledge yet an AI which
transfer this knowledge yet an AI which
transfer this knowledge yet an AI which is able to play chess can’t let go and
is able to play chess can’t let go and
is able to play chess can’t let go and then a I was able to drive a car can’t
then a I was able to drive a car can’t
then a I was able to drive a car can’t fly a plane so we have narrower eyes
fly a plane so we have narrower eyes
fly a plane so we have narrower eyes already everywhere Google is using them
already everywhere Google is using them
already everywhere Google is using them yes to figure out what you will type in
yes to figure out what you will type in
yes to figure out what you will type in before you have decided it yourself
before you have decided it yourself
before you have decided it yourself Netflix is using AI to tell you what you
Netflix is using AI to tell you what you
Netflix is using AI to tell you what you should watch yes based on your taste is
should watch yes based on your taste is
should watch yes based on your taste is and what I don’t like every one of S has
and what I don’t like every one of S has
and what I don’t like every one of S has an AI at home either zero in your pocket
an AI at home either zero in your pocket
an AI at home either zero in your pocket or katana on your pc or it could be
or katana on your pc or it could be
or katana on your pc or it could be amazon aching and even if you think
amazon aching and even if you think
amazon aching and even if you think this is not an eye it’s stupid well a
this is not an eye it’s stupid well a
this is not an eye it’s stupid well a front of mine has a kid the daughter and
front of mine has a kid the daughter and
front of mine has a kid the daughter and she’s five years old and she’s having
she’s five years old and she’s having
she’s five years old and she’s having deep conversations for hours with theory
deep conversations for hours with theory
deep conversations for hours with theory really and she makes no difference it’s
really and she makes no difference it’s
really and she makes no difference it’s like a friend to her she’s asking Siri
like a friend to her she’s asking Siri
like a friend to her she’s asking Siri how are you how are you doing what do
how are you how are you doing what do
how are you how are you doing what do you think today and so forth this goes
you think today and so forth this goes
you think today and so forth this goes back from for four hours so the machine
back from for four hours so the machine
back from for four hours so the machine is only as stupid as you don’t train it
is only as stupid as you don’t train it
is only as stupid as you don’t train it but if you train it yes it’s getting
but if you train it yes it’s getting
but if you train it yes it’s getting smart and more adaptive to you these
smart and more adaptive to you these
smart and more adaptive to you these machines can do it if we put in the
machines can do it if we put in the
machines can do it if we put in the energy in time we all know that
energy in time we all know that
energy in time we all know that self-driving cars exist today yes ten
self-driving cars exist today yes ten
self-driving cars exist today yes ten years ago we would have fought fought
years ago we would have fought fought
years ago we would have fought fought about this today we know they exist but
about this today we know they exist but
about this today we know they exist but every self-driving car from each
every self-driving car from each
every self-driving car from each producer has a different AI howdy is
producer has a different AI howdy is
producer has a different AI howdy is having different AI then google has
having different AI then google has
having different AI then google has apple worked on one yes comedy the eyes
apple worked on one yes comedy the eyes
apple worked on one yes comedy the eyes were working one uber just bought in a
were working one uber just bought in a
were working one uber just bought in a company so they all have different
company so they all have different
company so they all have different versions of the I there but the
versions of the I there but the
versions of the I there but the interesting part is if if one car is
interesting part is if if one car is
interesting part is if if one car is learning something all the other cars
learning something all the other cars
learning something all the other cars learn it too so if you train one piece
learn it too so if you train one piece
learn it too so if you train one piece of software you can transfer this
of software you can transfer this
of software you can transfer this knowledge is very easy to every other
knowledge is very easy to every other
knowledge is very easy to every other piece of software because it’s like one
piece of software because it’s like one
piece of software because it’s like one big mind it’s like a swarm intelligence
big mind it’s like a swarm intelligence
big mind it’s like a swarm intelligence behind it and this is something we
behind it and this is something we
behind it and this is something we humans struggle with that’s why we have
humans struggle with that’s why we have
humans struggle with that’s why we have universities because we want to transfer
universities because we want to transfer
universities because we want to transfer with a very hard and long time the
with a very hard and long time the
with a very hard and long time the knowledge from one person to the other
knowledge from one person to the other
knowledge from one person to the other we have AI in car and trucks will know
we have AI in car and trucks will know
we have AI in car and trucks will know their self driving cars and to say we
their self driving cars and to say we
their self driving cars and to say we have AI and almost every more mature
have AI and almost every more mature
have AI and almost every more mature piece of electronics AI is eating the
piece of electronics AI is eating the
piece of electronics AI is eating the world because you can ingest artificial
world because you can ingest artificial
world because you can ingest artificial intelligence and almost everything which
intelligence and almost everything which
intelligence and almost everything which has a chip which has a microcomputer a I
has a chip which has a microcomputer a I
has a chip which has a microcomputer a I will eat our world over the next year’s
will eat our world over the next year’s
will eat our world over the next year’s even more because it will be everywhere
even more because it will be everywhere
even more because it will be everywhere in your daily and business life and it
in your daily and business life and it
in your daily and business life and it will make a word smarter more engaging
will make a word smarter more engaging
will make a word smarter more engaging more interactive more adapting to you
more interactive more adapting to you
more interactive more adapting to you the good part is these machines work for
the good part is these machines work for
the good part is these machines work for us we do this because we want to
us we do this because we want to
us we do this because we want to throughout human history always have
throughout human history always have
throughout human history always have invented machines so they do stuff for
invented machines so they do stuff for
invented machines so they do stuff for us they work for us and they work for us
us they work for us and they work for us
us they work for us and they work for us 24 hours a day 365 days a year they
24 hours a day 365 days a year they
24 hours a day 365 days a year they don’t want to strike
don’t want to strike
don’t want to strike want a raise they will not say they
want a raise they will not say they
want a raise they will not say they don’t they have no vacations they are
don’t they have no vacations they are
don’t they have no vacations they are there always for us at the same time the
there always for us at the same time the
there always for us at the same time the more you use the machine and specially
more you use the machine and specially
more you use the machine and specially out of fish intelligence the more you
out of fish intelligence the more you
out of fish intelligence the more you train it that smart it gets the cheaper
train it that smart it gets the cheaper
train it that smart it gets the cheaper it gets and contrast to us humans yes we
it gets and contrast to us humans yes we
it gets and contrast to us humans yes we want more celery de’longhi we work and
want more celery de’longhi we work and
want more celery de’longhi we work and so these machines work for us and we
so these machines work for us and we
so these machines work for us and we want this yes we invent them so they do
want this yes we invent them so they do
want this yes we invent them so they do the things we don’t want to do there’s
the things we don’t want to do there’s
the things we don’t want to do there’s no one wants to be out there physical on
no one wants to be out there physical on
no one wants to be out there physical on the field that’s why we invented machine
the field that’s why we invented machine
the field that’s why we invented machine to do the physical world class which we
to do the physical world class which we
to do the physical world class which we don’t want to do and we don’t like to do
don’t want to do and we don’t like to do
don’t want to do and we don’t like to do boring mundane work on the assembly line
boring mundane work on the assembly line
boring mundane work on the assembly line that’s why we invented machine to do the
that’s why we invented machine to do the
that’s why we invented machine to do the boring stuff we don’t want a gym and
boring stuff we don’t want a gym and
boring stuff we don’t want a gym and some of us don’t like thinking either
some of us don’t like thinking either
some of us don’t like thinking either yes and that’s why we have invented
yes and that’s why we have invented
yes and that’s why we have invented machines who do the thinking work for us
so we invent machines that they work for
so we invent machines that they work for us what we have done this we will
us what we have done this we will
us what we have done this we will continue to do this and we benefit from
continue to do this and we benefit from
continue to do this and we benefit from this we benefit from this because we
this we benefit from this because we
this we benefit from this because we gain live in sight lifetime time to live
gain live in sight lifetime time to live
gain live in sight lifetime time to live we have more time to do things we really
we have more time to do things we really
we have more time to do things we really like to do spend it with our girlfriend
like to do spend it with our girlfriend
like to do spend it with our girlfriend wife husband our kids to read the book
wife husband our kids to read the book
wife husband our kids to read the book to travel the world to study to widen
to travel the world to study to widen
to travel the world to study to widen your mind to start a company yes
your mind to start a company yes
your mind to start a company yes machines work so we can be more human
machines work so we can be more human
machines work so we can be more human and we can focus more on the essential
and we can focus more on the essential
and we can focus more on the essential things in life and yes this also means
things in life and yes this also means
things in life and yes this also means that they will do work and I’m not
that they will do work and I’m not
that they will do work and I’m not standing here and telling you everything
standing here and telling you everything
standing here and telling you everything will be good no machines are replacing
will be good no machines are replacing
will be good no machines are replacing jobs and we speak about twenty to fifty
jobs and we speak about twenty to fifty
jobs and we speak about twenty to fifty percent of current existing jobs which
percent of current existing jobs which
percent of current existing jobs which won’t exist anymore the next 30 years
won’t exist anymore the next 30 years
won’t exist anymore the next 30 years it’s the truth I don’t want to avoid it
it’s the truth I don’t want to avoid it
it’s the truth I don’t want to avoid it and I brought you here a list of jobs
and I brought you here a list of jobs
and I brought you here a list of jobs and tap yes now everyone is looking for
and tap yes now everyone is looking for
and tap yes now everyone is looking for one yes which will be replaced by
one yes which will be replaced by
one yes which will be replaced by artificial intelligence the good part is
artificial intelligence the good part is
artificial intelligence the good part is no AI will replace you as a person it is
no AI will replace you as a person it is
no AI will replace you as a person it is more that artificial intelligence is
more that artificial intelligence is
more that artificial intelligence is enabling you you will use software and
enabling you you will use software and
enabling you you will use software and computers and machines to make out of
computers and machines to make out of
computers and machines to make out of more you will use AI to do the jobs you
more you will use AI to do the jobs you
more you will use AI to do the jobs you don’t want to
don’t want to
don’t want to so you have more free time to be
so you have more free time to be
so you have more free time to be creative to interact with humans and to
creative to interact with humans and to
creative to interact with humans and to make decisions now people got interested
make decisions now people got interested
make decisions now people got interested I see so I won’t replace you as a person
I see so I won’t replace you as a person
I see so I won’t replace you as a person but a I will be there in a replacing
but a I will be there in a replacing
but a I will be there in a replacing human step by step if you want to do
human step by step if you want to do
human step by step if you want to do something by the way with humans yes so
something by the way with humans yes so
something by the way with humans yes so in social interaction you’re on the good
in social interaction you’re on the good
in social interaction you’re on the good side we haven’t solved this yet uh-huh
side we haven’t solved this yet uh-huh
side we haven’t solved this yet uh-huh I’m standing here today because I say we
I’m standing here today because I say we
I’m standing here today because I say we need to go beyond we need to go beyond
need to go beyond we need to go beyond
need to go beyond we need to go beyond the system we’re living in we need to
the system we’re living in we need to
the system we’re living in we need to find a system where work is not needed
find a system where work is not needed
find a system where work is not needed anymore wherever one has a purpose
anymore wherever one has a purpose
anymore wherever one has a purpose outside of a job too we need to find a
outside of a job too we need to find a
outside of a job too we need to find a system will work is not their central
system will work is not their central
system will work is not their central part but where we can humans even
part but where we can humans even
part but where we can humans even without this a future when maybe one
without this a future when maybe one
without this a future when maybe one fifty percent don’t have a job anymore
fifty percent don’t have a job anymore
fifty percent don’t have a job anymore we still don’t end up in civil war there
we still don’t end up in civil war there
we still don’t end up in civil war there are some solutions out there like the
are some solutions out there like the
are some solutions out there like the unconditional basic income which we
unconditional basic income which we
unconditional basic income which we should discuss I don’t know the truth
should discuss I don’t know the truth
should discuss I don’t know the truth enter I’m here because I need your minds
enter I’m here because I need your minds
enter I’m here because I need your minds and your energy so that we’re all
and your energy so that we’re all
and your energy so that we’re all together find a solution for this that
together find a solution for this that
together find a solution for this that we start discussing this that we start
we start discussing this that we start
we start discussing this that we start to think about this because it is a
to think about this because it is a
to think about this because it is a serious challenge especially for our
serious challenge especially for our
serious challenge especially for our generation and to finish this I tell you
generation and to finish this I tell you
generation and to finish this I tell you this is the best human time ever it is a
this is the best human time ever it is a
this is the best human time ever it is a good time to live in just compare where
good time to live in just compare where
good time to live in just compare where your grand grandparents we how they were
your grand grandparents we how they were
your grand grandparents we how they were living the last 200 years or average
living the last 200 years or average
living the last 200 years or average life expectancy raised from 30 years 285
life expectancy raised from 30 years 285
life expectancy raised from 30 years 285 newborn kids today have hundred years so
newborn kids today have hundred years so
newborn kids today have hundred years so everyone above 30 we can be happy to
everyone above 30 we can be happy to
everyone above 30 we can be happy to live today and not in the past at the
live today and not in the past at the
live today and not in the past at the same time especially the Western world
same time especially the Western world
same time especially the Western world with ten times more wealth 10 times more
with ten times more wealth 10 times more
with ten times more wealth 10 times more income than we used to have and we work
income than we used to have and we work
income than we used to have and we work less for this so we we don’t work more
less for this so we we don’t work more
less for this so we we don’t work more work less we used to work 80 hours a
work less we used to work 80 hours a
work less we used to work 80 hours a week today work average 40 hours a week
week today work average 40 hours a week
week today work average 40 hours a week so each of us is living longer with more
so each of us is living longer with more
so each of us is living longer with more money in our pocket we can buy more
money in our pocket we can buy more
money in our pocket we can buy more things with this and we work less for it
things with this and we work less for it
things with this and we work less for it this is a positive trend
this is a positive trend
this is a positive trend this is trend of the last three four
this is trend of the last three four
this is trend of the last three four generations and this won’t stop this
generations and this won’t stop this
generations and this won’t stop this won’t stop because we embrace technology
won’t stop because we embrace technology
won’t stop because we embrace technology we use technology to make more and if
we use technology to make more and if
we use technology to make more and if it’s artificial intelligence super
it’s artificial intelligence super
it’s artificial intelligence super intelligence non robotics virtuality yes
intelligence non robotics virtuality yes
intelligence non robotics virtuality yes they all will come with challenges and
they all will come with challenges and
they all will come with challenges and they mean we need to adapt to it as a
they mean we need to adapt to it as a
they mean we need to adapt to it as a person as a company as a university and
person as a company as a university and
person as a company as a university and also as a society in a system but each
also as a society in a system but each
also as a society in a system but each technology also brings us opportunity to
technology also brings us opportunity to
technology also brings us opportunity to have a long alive live with more
have a long alive live with more
have a long alive live with more happiness and more wealth this is the
happiness and more wealth this is the
happiness and more wealth this is the future I’m fighting for this in future
future I’m fighting for this in future
future I’m fighting for this in future we all should fight for this is the
we all should fight for this is the
we all should fight for this is the reason why I get up every morning thank
reason why I get up every morning thank
reason why I get up every morning thank you
you
you [Applause]
”
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