Will AI Take Our Jobs? | All-In Podcast
Summary
TLDRThe transcript discusses the impact of AI on the job market, with various perspectives on whether AI will displace human workers or create new opportunities. It highlights the historical context of previous industrial revolutions and technological advancements, suggesting that while certain jobs may be automated, overall productivity and economic growth tend to increase. The conversation also touches on the potential of AI in robotics and the future of domestic robots, with predictions on their availability and functionality in households.
Takeaways
- ๐บ John Stewart's viral segment on AI and job displacement has brought the topic into mainstream public consciousness.
- ๐ CEOs like Brian Chesky and Aaron Levy anticipate significant productivity gains due to AI, potentially affecting large portions of their workforces.
- ๐ค AI customer support agents are exemplified as driving substantial profit increases and replacing hundreds of full-time employees.
- ๐ Historically, GDP components remain resilient over time, suggesting that economic structures adapt rather than collapse due to technological revolutions.
- ๐ญ The Industrial Revolution saw job displacement, but ultimately led to economic growth and the creation of new job categories.
- ๐ก AI is expected to increase productivity, which historically has correlated with rising compensation and the emergence of new job classes.
- ๐ Public perception of AI's impact on jobs is being shaped by social media and influential figures, potentially amplifying concerns.
- ๐ฐ Past media coverage has sensationally warned about job loss due to technology, such as the 1983 New York Times article on computers in knowledge work.
- ๐ The cycle of technological advancement, job disruption, and subsequent economic growth suggests that AI's impact may follow a similar pattern.
- ๐ Speculations on the future role of AI and robotics in domestic settings include the potential for general-purpose robots performing household tasks.
- ๐ค The discussion emphasizes the importance of understanding historical contexts and avoiding alarmist perspectives when considering AI's role in the economy and job market.
Q & A
What is the main topic of discussion in the transcript?
-The main topic of discussion is the impact of Artificial Intelligence (AI) on jobs and the economy, including the potential for AI to replace or augment various job roles and the historical context of technological revolutions and their effects on employment and productivity.
How has the public perception of AI in relation to jobs changed recently?
-The public perception of AI's impact on jobs has started to enter mainstream consciousness, with more people becoming aware of the potential for AI to replace large swaths of jobs, as highlighted by discussions on platforms like The Daily Show and influential figures like Brian Chesky and Aaron Levy.
What are the historical components of US GDP, and how have they remained resilient over time?
-The components of US GDP have remained surprisingly consistent over long periods of time. Consumer consumption is always around 70%, net exports are a few percent plus or minus, gross domestic investment is around the 20% level, and government consumption is also around the 20% level. These components add up to GDP and have not changed significantly since the 1920s, except during acute events like World War II.
What was the outcome of job displacement during the Industrial Revolution?
-During the Industrial Revolution, there was significant job displacement as specific job classes fell to zero, leading to unemployment and the collapse of income associated with those jobs. However, new job classes were eventually created, and the economy found a way to grow despite the initial displacement.
How does productivity relate to worker compensation over time in the US?
-As productivity increases in the US, worker compensation has historically tracked it. This means that as AI and other innovations boost productivity, it is expected that compensation will also rise, leading to the creation of new job classes and economic growth.
What is the significance of the historical cases mentioned in the transcript when discussing AI's impact on jobs?
-The historical cases demonstrate that while technological revolutions may initially cause job displacement, they ultimately lead to increased productivity, lower costs, and the emergence of new industries and job opportunities. This provides a framework for understanding the potential impact of AI on the job market.
What was the New York Times article from June 2nd, 1983 about?
-The New York Times article from June 2nd, 1983 was about how computers were eliminating jobs in industries that were effectively offline knowledge work industries at the time, such as engineering designs and architectural drawings. The article highlighted the fear that these jobs would be eliminated due to automation enabled by software.
How did the software revolution change the nature of work?
-The software revolution enabled people to do much more work than they could with pencil and paper. It allowed for the creation of digital output and the emergence of new industries, leading to increased productivity and economic growth.
What is the potential role of AI in the future of work?
-AI is expected to provide leverage for knowledge work, enhancing productivity and potentially leading to the creation of new job classes. Instead of simply replacing human workers, AI could enable people to shift to higher-order work, resulting in economic growth and increased productivity.
What is the significance of humanoid robots in the context of AI and job displacement?
-Humanoid robots represent a further step in the integration of AI into various aspects of work and life. They have the potential to perform tasks optimized for the human body type, leading to increased efficiency and possibly new job roles. However, there are still significant safety and development challenges before they become commonplace in domestic settings.
What are the potential timelines for having domestic help robots in middle-class American homes?
-The discussion suggests varying timelines, with one viewpoint suggesting that within seven years, every middle-class household in America could have a domestic help robot capable of performing various household tasks. However, other viewpoints suggest that the timeline might be longer and that the form of these robots might not necessarily be humanoid.
Outlines
๐ค AI's Impact on Jobs and Public Perception
The paragraph discusses the growing public awareness of AI's potential to revolutionize the job market, as highlighted by a viral segment by John Stewart on The Daily Show. It mentions interviews with CEOs from Airbnb and Box, who anticipate significant productivity gains and job displacement due to AI. The speaker argues that while specific job categories may be eliminated, historical trends show that new jobs are created and productivity increases, as seen in previous industrial revolutions. The speaker uses three charts to illustrate the resilience of GDP components over time, the disruption of specific jobs, and the historical correlation between productivity gains and increased worker compensation.
๐ Historical Context of Technological Revolutions
This paragraph delves into the historical context of technological revolutions, particularly the Industrial Revolution, and draws parallels to the current AI revolution. It discusses the fear of job elimination due to automation and the eventual growth of industries through increased productivity. The speaker argues that computers, like AI today, have historically enhanced jobs rather than eliminated them, leading to the creation of new industries and economic growth. The conversation emphasizes the importance of understanding historical cases to predict the future impact of AI on jobs and the economy.
๐ค Media Narratives and Public Fears on AI
The paragraph addresses the media's role in shaping public perception about AI and its impact on jobs. It criticizes the media for hyping the fear of job loss due to AI, while downplaying other significant issues like war and national debt. The speaker argues that AI will lead to productivity gains in the short to medium term, and while job losses may occur in the long term, new jobs will be created as a result of the productivity boom. The paragraph also includes a humorous anecdote about a video clip featuring AI, highlighting the public's evolving attitude towards AI and automation.
๐ง The Limitations and Potential of AI Compared to Human Intelligence
This paragraph explores the limitations of current AI technology, referencing an expert's comparison of a four-year-old's experience to the data processed by the largest language models. It emphasizes that despite advancements, AI is still more 'artificial' than 'intelligent'. The conversation turns to the potential of AI in robotics, with speakers discussing the development of humanoid robots and their potential applications. The discussion includes the challenges of making robots safe for domestic use and the potential for AI to improve decision-making in robotics, drawing parallels to the development of self-driving cars.
๐ The Future of Domestic Robots and Their Economic Viability
The paragraph discusses the future of domestic robots, focusing on their potential roles in households, the expected timeline for their availability, and the economic considerations. The speakers debate the feasibility of a general-purpose domestic robot, the tasks it might perform, and the price point that would make it accessible to middle-class households. They also consider alternative forms of AI applications in homes, such as specialized robots for specific tasks, and compare the potential profitability of industrial versus consumer AI applications.
Mindmap
Keywords
๐กAI
๐กProductivity gains
๐กJob displacement
๐กGDP components
๐กIndustrial Revolution
๐กPublic consciousness
๐กWhite collar jobs
๐กEconomic growth
๐กKnowledge work
๐กRobotics
๐กOptimus
Highlights
John Stewart's segment on AI and its impact on jobs went viral, sparking public discussion on the topic.
CEOs like Brian Chesky from Airbnb and Aaron Levy from Box anticipate significant productivity gains due to AI, potentially affecting job roles in their companies.
AI customer support agents are driving a $40 million increase in profits, replacing the workload of 700 full-time employees.
There is a debate on whether AI will displace people or if new jobs will be created, reflecting the public's growing concern about the impact of AI on employment.
The components of US GDP have remained surprisingly resilient over long periods, with consumer consumption always around 70%.
During the Industrial Revolution, specific job classes saw a drop to zero, but the economy found a way to grow, indicating resilience in the face of technological change.
Productivity and worker compensation have historically moved in tandem, suggesting that as productivity increases, so does compensation, leading to the creation of new job classes.
The perception of AI's impact on jobs is becoming more widespread due to social media, influencing public consciousness and discourse.
An article from 1983 in the New York Times discussed the fear of computers eliminating jobs, which turned out to enhance job roles and create new industries.
AI is seen as a tool for giving humans leverage in knowledge work, potentially leading to higher-order tasks and economic growth.
The shift from manual labor to knowledge work, and now to AI-enhanced creativity, represents a significant transition in the nature of human work.
The potential for AI to replace or augment jobs is seen as a continuation of historical patterns with technological revolutions, ultimately leading to job creation.
The media's focus on AI's impact on jobs may be a distraction from other pressing issues, such as wars or national debt.
The comparison of AI's capabilities to a four-year-old's experiences highlights the significant gap between current AI technology and human cognitive abilities.
The development of humanoid robots like Tesla's Optimus represents a new frontier in AI applications, with potential implications for both industrial and domestic settings.
The timeline and cost for domestic robots to become a common household item is a topic of debate, with estimates ranging from three to seven years and prices from $1,000 to $100,000.
The potential applications of AI and robotics in industrial monitoring and maintenance show the technology's versatility and practical benefits.
Transcripts
all right if you missed it John Stewart
did a segment on AI on The Daily Show he
came back he's doing I think Mondays
every week and it went viral and it was
about how AI is going to change our jobs
faster than any previous labor
Revolution so it seems like the public
is starting to get an idea uh about AI
wiping out large swats of jobs and it's
starting to hit the mainstream CEOs like
Brian chesky from Airbnb and Aaron Levy
from box I had them on this week
startups that's in the last year they
said they anticipate 30 to 50%
productivity gains for a lot of the jobs
in their companies developers customer
support all that stuff and we covered
cloners AI customer support agent doing
the job of 700 full-time employees and
driving a $40 million increase in
profits this year yada y y we've we've
talked about this over and over again
but it seems to be tipping over into
public Consciousness we chamath have
talked about whether humans will find
more work to do or if this is going to
truly displace people I think we all
kind of feel like at least to the best
of my memory we all feel like new jobs
will be created but it is entering the
Public's Consciousness what impact is
that going to have if the public starts
thinking AI is going to take their job
chath I mean I think that social media
will make this perception more
widespread than it's been at other
moments of Revolution and Innovation but
we've gone through this before I'd like
to summarize my thoughts in three charts
okay and I call
this this time it's not different so so
chart number one for those watching on
YouTube is a look at the components of
US GDP this is from the Bureau of
economic
analysis now this goes from 1929 up to
2011 so it doesn't go all the way back
to the 1800s and we're missing the last
decade but the point is the following if
you can see the chart I'll if you can't
see it I'll describe it to you which is
that GDP the components of GDP are
surprisingly resilient and roughly the
same over long stretches of time which
is that even though GDP goes up consumer
consumption is always around 70% net
exports are a few perc plus or minus
gross domestic investment is around the
20% level and then government
consumption is around the 20% level and
that's what adds up to GDP so that's an
important thing to note why because in
the absence of something very acute like
World War II these things don't change
over long periods of time okay so if
that is true what happens when you have
any kind of a revolution so let's look
at the Industrial Revolution so the
shift from farms to factories and what
you saw was exactly what people should
be worried about with respect to AI
which is in specific job classes things
just fall to zero so unemployment
basically went to zero and the income
associated with those jobs also went to
zero so this is what people are worried
about but if you remember the last chart
the point is somehow we found a way
to find growth and this is what's
demonstrated on this final chart which
is when you look at us productivity and
worker compensation this is going from
World War II to today you find that
every time we find a new way of
innovating compensation tends to track
it so if you take these three things
together number one which is the
components of GDP rarely change number
two is that yes there are certain
categories of jobs that always get
disrupted away but the third is the most
important which is that as productivity
goes up which is what AI should give us
just as we've seen in the past
compensation also goes up which means
new job classes will be created so I
think the macro picture if you look back
hundreds of years is that this is like
many other moments in time it feels more
personal right now because we're all
living it right none few of us live The
Agrarian to Industrial Revolution yeah
we missed it and few of us live the
technological Revolution right we came
in at the heels of it but I suspect that
this time is not different freeberg your
thoughts on this I think you've said
something similar on past
episodes but it is kind of tipping and
into public Consciousness and it's also
affecting White Collar jobs this time
not just people in fields picking
berries and so those people may be a
little more vocal and we've seen massive
layoffs intact massive layoffs in media
and those jobs don't seem to be coming
back people seem to be get taking the
gain and just having people on the team
be 30% more efficient as Brian told me
on my other pod so what do you think
freeberg is this time different or is it
the same so here's this article from
June 2nd 1983 in the New York Times all
about how computers are eliminating jobs
in industries that were effectively
offline knowledge work Industries at the
time creating engineering designs
creating architectural drawing
I think this article spoke to the fact
that these jobs were going to be
eliminated and as we all know those jobs
actually got enhanced by computers
productivity went up and new sub
Industries emerged and in fact the
overall Industries actually grew in some
cases when we were fearful of them being
replaced due to the automation enabled
by software so I think that in this
particular sense we can talk about the
Industrial Revolution enabling through
Manufacturing Systems and centralized
production
a a replacement of manual labor with
machines what we're talking about now is
a replacement of knowledge work that has
been aided by computers with machines so
the machines no longer even need the
human but the reality is that these
systems are actually going to give
humans 10 to 100x leverage so when you
think about that one person could spend
three weeks making an architectural
drawing today what if that one person
could make an architectural drawing
every six hours so the question then is
do do we stop making architectural
drawings and we fire a bunch of
Architects or does the cost of making an
architectural drawing drop by 90% And it
enables us to do more detailed higher
resolution architectural drawings across
more places more frequently and the
industry actually booms and what we've
seen historically is that when
productivity goes up costs go down the
actual volume balloons and the economy
grows so it's a it's an example where I
think in this particular case we will
see these tools creating more leverage
for knowledge work instead of just
simply replacing knowledge work and that
humans will start to shift to a higher
order of work and we'll see the economy
grow and productivity go up uh as a
result so so I think that's my kind of
key read on on on the story but it's
very hard to connect the dots for people
without having all of these historical
cases and I think one of the ways to
think about doing this usefully is you
go back to the software Revolution and
all the stuff that we were doing with
pencil and papers before computers we
actually didn't lose all those jobs the
people could now do 100 times or a
thousand or a million times as much work
and new Industries emerged and
productivity went up and the economy
grew and so we just have to have
this this realization as this starts to
take hold that the industries will
change and that these systems will
actually provide leverage not
replacement yeah it's such a good point
and I think what you teach your kids is
like really important at the this moment
in time like having a job that is
replaced by AI or that could be greatly
replaced by AI might be a mistake and if
you think about being a conductor
freedberg or a
maestro a conductor of an orchestra I
think that's the job of the future is
can you work with these agents forget
about co-pilots because that's phase one
of all this but agents are phase two
where you have an agent who's writing
copy who's should the HubSpot example
you gave before you know a designer
who's in the cloud who's an agent an AI
agent making you artwork and then you
Stitch all these things together I've
been loading chat jpt with my kids
constantly asking history questions and
whatever questions they want I've been
teaching them how to use chat GPT that's
great yeah I mean I think it's like a
like there's this whole transition of
humans doing manual labor to doing
knowledge work where you're using
software to create digital output to now
having more folks spend more of their
time being conceptualists or creators
where you can kind of be an architect or
a of something and the system just
generates it you know you state your
intended objective and the system solves
for it as opposed to hey I got to go
build the Excel spreadsheet and check
the formula in every cell and do all the
manual what if I just say hey here's
what I want the model to do please
generate it for me and you get the
result it enables you to do a 100 times
more work that's why I use the analogy
conductor or yeah August leader sax what
do you think this is uh you're you're
you're on the populace side you really
have your finger on what Americans think
and that's a compliment it's a literal
compliment but I do think you're I think
you've become a pop especially as the
longer I've known you we've known each
other for over 20 years you've become
more populist so what what's the word on
the street here amongst you know JP and
how do you think they're taking this
news when they see somebody like John
Stewart they respect when you see
somebody like Jonathan John Stewart you
know doing this that's like gonna hit a
large swath of these you know you know
Elites that we've talked about before on
the show who are losing their jobs or
maybe their salaries are getting capped
well first of all Jason to quote Senator
Gras from Gladiator I may not be a man
of the people but I do try to be a man
for the people yes exactly so uh oh my
god did you see the AI did you see the
AI from some YC commentator company
where they like made a little video of
us and like we're talking about
somebody's nuts and then they were like
you said oh I'm going to ask my butler
to ask my assistant to ask my house
manager to then ask my chauffeur to pick
those up it's like it was a pretty great
clip yeah it looked funny look to be
frank no one cares what John Stewart
thinks he's never been less relevant and
less funny um this is a story that the
media has been hyping up for months now
CO's over so they need something else to
scare us with and what they really
should be talking is that we've got two
Wars that risk spiraling out of
control they don't want to go there they
don't want to go there or or the naal
debt exactly right they don't want to go
there either because neither of those
issues reflect well on the current
Administration and power so they're
going to scare us with this now look in
the short to medium term AI leads to
productivity gains in the long term it
may lead to job losses but as you guys
pointed out hopefully by then we'll have
lots of other jobs created by the
productivity boom that we're going to
get and this has been the case
throughout history with regard to
technology improvements and if we don't
have these productivity improvements
what's going to drive the growth in GDP
what's going to allow us to pay off this
enormous national debt that seems to be
yep you know so large that we it's unrep
we need the productivity gains that AI
is going to unlock without them we're
definitely toast so look I I don't place
a lot of stock in this John Stewart's
story it's just one of many that the
media is is creating to try and scare us
about AI that's actually a great guest
John Stewart would be a great guest
along with Lena Khan put those on the
list have you seen this um clip where
Yan Lon basically says our best llm is
50 times smaller than what a
four-year-old has processed since
they've foury old is awake has been
awake a total of 16,000 hours and you
say Okay 16,000 hours multiply this by
3600 seconds per hour and then figure
out like what's the um bandwidth of the
optical nerve going to the cortex it's
about 20 megabytes so you have 1 million
nerve fibers per uh per per eye and it's
about 10 bytes per second right give a
take
um so multiply that's 10 the 15 bytes by
the time you're four 50 times more than
whatever llm like the biggest in the
world have been trained on okay so what
that tells you is that in the space of a
few months a baby has seen more
information than the biggest LMS that we
have the point is that and this is one
of the foremost experts in Ai and really
one of the fathers of modern AI what
he's basically saying is it's still more
artificial than intelligent and and
everybody needs to take a deep breath
and understand that there's just going
to be a lot more work before you get to
this omnipresent agent that just
replaces and destroys everything and
thinks on its own yeah I'm willing to
bet on all of us versus a bunch of
four-year-olds and I just want to say
Kumbaya to Davos as well the clip from
Davos thanks for letting us use
that yeah it's interesting Sachs like
um the number of jobs that will be
replaced or augmented and then the
creation of jobs and then you start
thinking about well how many jobs exist
in the real world I saw weo is doing
Uber Eats deliveries and you just think
wow more people are going to be able to
afford UB breeds which is kind of
expensive to to use so consumption is
going to go up and then you think about
the Optimus and then what's the other
robot company that's making a general
human robot figure and man those are
starting to get really interesting and I
think that's going to be the unlock so
maybe you could speak a little bit to
saxs what do you think happens when we
start getting humanoid robots in the mix
and do you have any investments in that
space I don't because I don't I don't do
that kind of Hardware R&D I mean look I
think you're right that AI does lead to
robotics because one of the hard things
about robotics is just having the the
robot not just move but understand
what's happening in the world around it
and then make the right decisions about
how to react to that and so llms do
start creating a path for the robots to
be able to make Intelligent Decisions
without having to be programmed with a
bunch of if then statements right and I
mean self-driving kind of does this too
I mean self-driving is sort of the
early it's kind of like the early
prototype for these kinds of robots and
that that's why it's not a surprised
that Tesla is developing Optimus is
because you think about what
self-driving is it's it's a device a car
with a whole bunch of cameras on it it
takes in all that visual information and
then it makes decisions about how to
move and how to react and then it's it's
trained based on mirroring human
decisions all those human decisions that
Tesla's been able to gather through the
combination of self-driving with humans
intervening allows it to
train the the self-driving I guess brain
you could say well and it's also Sachs
moving at two or three miles per hour so
it can take its time and if You' haven't
seen this figure this combines the
language model with what you're
discussing Sachs so the language model
when you show them a picture and you say
hey and this is from figure and there's
a this is a their robot and it says hey
give me something to eat have you guys
seen this before I've heard some of the
the founders of these robotics companies
talk about why they create robots in a
humanoid shape and it's not just
because they're trying to create a
replacement for humans or something like
that it's also because now they can
point cameras at the way that humans
move yes and so they can actually train
these robots on how humans move and
react to things so you're able to kind
of create a large data set kind of like
with self-driving so that the robots are
able to learn how to how to move and I
I've seen a different video where uh
Optimus the Tesla robot is folding
shirts pretty impressive yeah what's
what's really interesting about this
freeberg is when I spoke to the the
people who are making these Evolution
has made
humans to operate in the world most
efficiently over whatever number of
years
and creatures before us so in fact the
world is optimized for the human body
type and so maybe you could talk a
little bit about what you think is going
to happen with these robots freedberg in
the in the short and medium term when
will we have one of these robots in our
houses what will the price point be in 5
to 10 years and what will they be doing
in 5 to 10 years I don't know we explore
we should explore that question at the
all-in summit 2024 okay shout out to
Elon Elon can you can you bring Optimus
to the event please Jason I don't think
it's a 5year time frame I think it's
longer than that that's just my guess
and one of the reasons is if you look at
the use of robots in call it industrial
production today they don't want humans
getting too close to them they're
actually kind of dangerous because you
have these arms flying around they move
quickly they're very heavy you get
banged on the head by one of them it's
going to take you out so a good point
the idea of having a robot in your house
that's capable of freely moving you to
make that so safe to a point that they
just haven't gotten to yet with robots
so there's just going to be like a lot
of fine-tuning work that happens before
this is a domestic product I think in
the near term it's all about industrial
applications or maybe even military
applications well it's and if you've
ever been to the the
gigafactories I I was doing a little
tour of one of them once and somebody
grabbed me because I almost wandered
into one of those areas and they have
tape on the floor then they have a wall
ET but if you even get within a
certain closeness with this tape on the
floor it shuts the whole thing down
because they're afraid somebody's going
to get crushed behind One of These Arms
chath I'll give it to you when will we
have one of these robots in our homes
for the price of a Prius now by the way
Prius is a car that costs about $50,000
that common folk drive so $50,000 robot
in our
houses I think it'll be less than that I
think it's going to be in the next two
or three years Years you'll have a
domestic help robot that you can
probably pay a, bucks a month for okay
which would be like $100,000 car payment
that would be the equivalent of a car
payment on a $100,000 car so okay you
say under five you say three what do you
think free BR same bet $1,000 a month
robot $100,000 sticker price when will
we have that in our homes no no I think
it's a thousand a month thousand a month
which would be the equivalent over
whatever number of months and what is it
it does it's general purpose does
different stuff General purses robot
$1,000 a month 50 payments I think it
washes the dishes I think it will do the
laundry take out the trash there'll be
like a whole set of house household
tasks that it will do walk the
dog no no not responsible for a live
creature what do you say freeberg $1,000
a month at home robot does your dishes
there there's a great bet for us give us
the over under how many years fre I'm
not sure I think the so of science come
on man give us a year well I I don't
think it necessarily follows this
general purpose model I think that there
are likely going to be
more
narrow application ranges and they're
not going to necessarily be
humanoid in form factor um I don't know
if you guys have seen a gecko robotics
have you guys seen this company are you
guys investors in this nope pretty
impressive like Suite of
um autonomous products that do specific
things in industrial settings so they
have like robots that climb on the
outside of buildings and look for cracks
using special scanning equipment but
they're very autonomous and how they
operate and what they can do and they've
got a whole class of robots that can
then be each one of those robots can do
many different tasks for many different
applications and so the form
factors they've got kind of a set of
form factors meaning a set of robots
that look differently
and have different capabilities of them
like little spider legs or arms or or
whatever and then they can be applied to
go do something autonomously and then
they just run and they do it you pull
that up you'll see it climbing walls
riding along pipes yeah they built well
they're not purpose that's what's
interesting they're they're sort
of a narrow range of applications but
they're not specific to do only one
thing and so they can work in different
environments and do different things and
so you'll kind of pick from their Suite
of robots which ones you want to use to
do different different tasks and then
they go and do it it's really
interesting they're mostly using them
for industrial monitoring applications
right now like looking on bridges for
brakes
and cleaning windows cleaning windows
all that kind of stuff oh cleaning
windows that's a good one yeah so
they've got like a really cool suite and
I think that's what we're likely to see
in domestic settings as well all right
so you
play by the way I will say the success
of gecko indicates that there's far more
money to be made in industrial
applications than there is in consumer
applications today I disagree so these
yeah I think every human's gonna have
one of these in I think every household
in America every middle class household
in America will have one of these
thousand a month robots in seven years
I'll give it seven you you say do
everything I say to do domestic chores
taking out the trash folden laundry
domestic tasks I just think it's hard to
justify that because you're only
spending so many hours a week doing that
sort of stuff is it really worth a th
bucks a month whereas in the industrial
setting it makes a lot more sense those
dangerous tasks like climbing on a
bridge looking at the seams and climbing
on a a building cleaning the windows
those tasks take years to do sometimes
many many years of high-risk human labor
whereas taking out the trash and folding
laundry might be a little bit more hard
to justify this SP
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