so I want to talk to you a little bit about automation in our previous speaker
about automation in our previous speaker
about automation in our previous speaker talked a little bit about AI but I want
talked a little bit about AI but I want
talked a little bit about AI but I want to focus on what’s going to happen in
to focus on what’s going to happen in
to focus on what’s going to happen in the next five years some of the
the next five years some of the
the next five years some of the innovations you’re going to be seeing
innovations you’re going to be seeing
innovations you’re going to be seeing you know if I gave you a penny today and
you know if I gave you a penny today and
you know if I gave you a penny today and two pennies tomorrow and for the next
two pennies tomorrow and for the next
two pennies tomorrow and for the next day and then eight and then 16 doubling
day and then eight and then 16 doubling
day and then eight and then 16 doubling in that fashion you might be surprised
in that fashion you might be surprised
in that fashion you might be surprised to find out that after only 25 days of
to find out that after only 25 days of
to find out that after only 25 days of doubling you would have three hundred
doubling you would have three hundred
doubling you would have three hundred and thirty-five thousand dollars and in
and thirty-five thousand dollars and in
and thirty-five thousand dollars and in fact if I doubled in that fashion for
fact if I doubled in that fashion for
fact if I doubled in that fashion for five more days you’d have almost 11
five more days you’d have almost 11
five more days you’d have almost 11 million dollars now my point here is and
million dollars now my point here is and
million dollars now my point here is and in the previous speaker alluded to it
in the previous speaker alluded to it
in the previous speaker alluded to it that Moore’s law has us doubling the
that Moore’s law has us doubling the
that Moore’s law has us doubling the number of transistors on a wafer every
number of transistors on a wafer every
number of transistors on a wafer every two years and we’ve been doing that now
two years and we’ve been doing that now
two years and we’ve been doing that now for 50 years and so we’re actually in
for 50 years and so we’re actually in
for 50 years and so we’re actually in the twenty sixth period of doubling
the twenty sixth period of doubling
the twenty sixth period of doubling since 1965 and what that means is is
since 1965 and what that means is is
since 1965 and what that means is is that our processing power is going up
that our processing power is going up
that our processing power is going up now it’s not going up by double every
now it’s not going up by double every
now it’s not going up by double every two years because the transistors don’t
two years because the transistors don’t
two years because the transistors don’t necessarily translate into compute power
necessarily translate into compute power
necessarily translate into compute power but they are going up enough and with
but they are going up enough and with
but they are going up enough and with the combination of machine learning what
the combination of machine learning what
the combination of machine learning what we see in the next five years I’m going
we see in the next five years I’m going
we see in the next five years I’m going to argue that we’re going to start to
to argue that we’re going to start to
to argue that we’re going to start to see machines that displace us in San
see machines that displace us in San
see machines that displace us in San Francisco a permit was recently pulled
Francisco a permit was recently pulled
Francisco a permit was recently pulled to build a restaurant using an automated
to build a restaurant using an automated
to build a restaurant using an automated hamburger making robot it grinds its own
hamburger making robot it grinds its own
hamburger making robot it grinds its own meat it slices the tomatoes it makes the
meat it slices the tomatoes it makes the
meat it slices the tomatoes it makes the hamburger to your specifications and it
hamburger to your specifications and it
hamburger to your specifications and it will do 400 hamburgers an hour only one
will do 400 hamburgers an hour only one
will do 400 hamburgers an hour only one employee needs to do that
it turns out that The Associated Press
it turns out that The Associated Press is coming out with articles that have
is coming out with articles that have
is coming out with articles that have been written by bots so they’re
been written by bots so they’re
been written by bots so they’re replacing journalists the first movie
replacing journalists the first movie
replacing journalists the first movie was actually produced just this year
was actually produced just this year
was actually produced just this year that was written by a bot and not only
that was written by a bot and not only
that was written by a bot and not only can BOTS write they can also read there
can BOTS write they can also read there
can BOTS write they can also read there are reading robots that are looking at
are reading robots that are looking at
are reading robots that are looking at your email and they’re determining what
your email and they’re determining what
your email and they’re determining what your attitude is and telling the CEO
your attitude is and telling the CEO
your attitude is and telling the CEO which of my 10 employees what at what 10
which of my 10 employees what at what 10
which of my 10 employees what at what 10 employees are currently the most
employees are currently the most
employees are currently the most disgruntled computers can currently do
disgruntled computers can currently do
disgruntled computers can currently do that BOTS can currently do that in
that BOTS can currently do that in
that BOTS can currently do that in agriculture we have Bosch making a robot
agriculture we have Bosch making a robot
agriculture we have Bosch making a robot that is going to drive down the fields
that is going to drive down the fields
that is going to drive down the fields and punch weeds down into the ground so
and punch weeds down into the ground so
and punch weeds down into the ground so instead of using chemicals to kill weeds
instead of using chemicals to kill weeds
instead of using chemicals to kill weeds they identify the difference between a
they identify the difference between a
they identify the difference between a crop and a weed and we know that those
crop and a weed and we know that those
crop and a weed and we know that those weeds will grow back but those robots
weeds will grow back but those robots
weeds will grow back but those robots are going to continue to roll down the
are going to continue to roll down the
are going to continue to roll down the field and punch them down two or three
field and punch them down two or three
field and punch them down two or three more times until they kill them so we’re
more times until they kill them so we’re
more times until they kill them so we’re seeing advances in agriculture we’re
seeing advances in agriculture we’re
seeing advances in agriculture we’re seeing robots that make our food many of
seeing robots that make our food many of
seeing robots that make our food many of you saw that uber has announced that
you saw that uber has announced that
you saw that uber has announced that they’re going to have a hundred
they’re going to have a hundred
they’re going to have a hundred self-driving cars in Pittsburgh by the
self-driving cars in Pittsburgh by the
self-driving cars in Pittsburgh by the end of this year now those self-driving
end of this year now those self-driving
end of this year now those self-driving cars will have safety engineers in them
cars will have safety engineers in them
cars will have safety engineers in them however we know that eventually
however we know that eventually
however we know that eventually self-driving cars are coming and the
self-driving cars are coming and the
self-driving cars are coming and the question to ask yourself is when are we
question to ask yourself is when are we
question to ask yourself is when are we going to see that replace human drivers
going to see that replace human drivers
going to see that replace human drivers because 10% of the US population are
because 10% of the US population are
because 10% of the US population are actually employed as professional
actually employed as professional
actually employed as professional drivers and that might be a truck driver
drivers and that might be a truck driver
drivers and that might be a truck driver a cab driver somebody who’s driving say
a cab driver somebody who’s driving say
a cab driver somebody who’s driving say a tractor in the field and by the way
a tractor in the field and by the way
a tractor in the field and by the way 500 driverless tractors were sold last
500 driverless tractors were sold last
500 driverless tractors were sold last year so we’re going to see tractors out
year so we’re going to see tractors out
year so we’re going to see tractors out in the field all by themselves a mine
in the field all by themselves a mine
in the field all by themselves a mine has recently started or cars coming down
has recently started or cars coming down
has recently started or cars coming down from the
from the
from the mind to the smelter with no one in the
mind to the smelter with no one in the
mind to the smelter with no one in the driver’s seat so all of these
driver’s seat so all of these
driver’s seat so all of these innovations are occurring and we’re
innovations are occurring and we’re
innovations are occurring and we’re going to see them happen in the next
going to see them happen in the next
going to see them happen in the next five years and my argument to you is
five years and my argument to you is
five years and my argument to you is that you need to be prepared for this
that you need to be prepared for this
that you need to be prepared for this you need to make your children prepared
you need to make your children prepared
you need to make your children prepared for it because it is going to start to
for it because it is going to start to
for it because it is going to start to impact our society we have in San Jose a
impact our society we have in San Jose a
impact our society we have in San Jose a pizza making robot we have all these
pizza making robot we have all these
pizza making robot we have all these innovations coming and the question is
innovations coming and the question is
innovations coming and the question is you know our politicians aren’t even
you know our politicians aren’t even
you know our politicians aren’t even thinking about the problem if we
thinking about the problem if we
thinking about the problem if we displace a worker you know the
displace a worker you know the
displace a worker you know the conventional wisdom is well they’ll get
conventional wisdom is well they’ll get
conventional wisdom is well they’ll get a job in another sector but you know I’m
a job in another sector but you know I’m
a job in another sector but you know I’m not sure that a professional driver is
not sure that a professional driver is
not sure that a professional driver is going to be able to get a computer job
going to be able to get a computer job
going to be able to get a computer job right away and so we need to as a
right away and so we need to as a
right away and so we need to as a society start thinking about how do we
society start thinking about how do we
society start thinking about how do we train these people and from a government
train these people and from a government
train these people and from a government standpoint if you lose a worker who is
standpoint if you lose a worker who is
standpoint if you lose a worker who is paying income tax you also then have to
paying income tax you also then have to
paying income tax you also then have to put them on unemployment and so there’s
put them on unemployment and so there’s
put them on unemployment and so there’s a double whammy to government and my
a double whammy to government and my
a double whammy to government and my question to you is at what point will
question to you is at what point will
question to you is at what point will someone come up with the idea of
someone come up with the idea of
someone come up with the idea of creating a tax on our robots creating a
creating a tax on our robots creating a
creating a tax on our robots creating a tax on automation so those are those are
tax on automation so those are those are
tax on automation so those are those are innovations that are going to come and
innovations that are going to come and
innovations that are going to come and as parents as investors as citizens I
as parents as investors as citizens I
as parents as investors as citizens I would encourage you to start encouraging
would encourage you to start encouraging
would encourage you to start encouraging your children to go into science
your children to go into science
your children to go into science technology engineering and math as
technology engineering and math as
technology engineering and math as investors that will work as well as
investors that will work as well as
investors that will work as well as investors you can look at companies that
investors you can look at companies that
investors you can look at companies that are doing automation over the next five
are doing automation over the next five
are doing automation over the next five years but start looking at the Articles
years but start looking at the Articles
years but start looking at the Articles that are being written about robotics
that are being written about robotics
that are being written about robotics and automation and machine intelligence
and automation and machine intelligence
and automation and machine intelligence it is absolutely amazing and start
it is absolutely amazing and start
it is absolutely amazing and start thinking about the problems we’re going
thinking about the problems we’re going
thinking about the problems we’re going to have as a society so that instead of
to have as a society so that instead of
to have as a society so that instead of building walls or doing trade agreements
building walls or doing trade agreements
building walls or doing trade agreements and worrying about that we’re worrying
and worrying about that we’re worrying
and worrying about that we’re worrying about what’s coming next now ultimately
about what’s coming next now ultimately
about what’s coming next now ultimately this is going to be a good thing because
this is going to be a good thing because
this is going to be a good thing because we’re all going to be lane
we’re all going to be lane
we’re all going to be lane in hammocks and the robots are going to
in hammocks and the robots are going to
in hammocks and the robots are going to be building our buildings and making our
be building our buildings and making our
be building our buildings and making our food in Australia there’s a company
food in Australia there’s a company
food in Australia there’s a company called fast brick and if you look up
called fast brick and if you look up
called fast brick and if you look up fast brick you’ll see a video of a
fast brick you’ll see a video of a
fast brick you’ll see a video of a 30-foot robotic arm grabbing cinder
30-foot robotic arm grabbing cinder
30-foot robotic arm grabbing cinder blocks and stacking them neatly in a way
blocks and stacking them neatly in a way
blocks and stacking them neatly in a way that can build a house in under two days
that can build a house in under two days
that can build a house in under two days so construction is coming mining is
so construction is coming mining is
so construction is coming mining is coming service industries are coming and
coming service industries are coming and
coming service industries are coming and all these are going to impact jobs we
all these are going to impact jobs we
all these are going to impact jobs we need to start thinking about it as a
need to start thinking about it as a
need to start thinking about it as a society thank you
”
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