Uber CEO Dara Khosrowshahi on self-driving's future, changing business model, job displacement
By All-In Podcast
Summary
## Key takeaways - **Uber partners with over 20 autonomy companies**: Uber is collaborating with more than 20 partners across mobility and delivery to advance autonomous vehicle technology. Several of these partnerships are already on the road, with plans to remove safety drivers later this year and significantly increase the number of autonomous cars in operation by next year. [01:10] - **Elon's camera-only vs. Waymo's multi-sensor approach**: Elon Musk's approach to self-driving relies solely on cameras, which is harder on software but cheaper for hardware. In contrast, companies like Waymo utilize multiple sensors, including lidar and radar, along with HD maps, to enhance perception and simplify the software's task of understanding the environment. [04:04] - **Autonomous vehicles can be 100x safer than humans**: Uber's definition of safety for autonomous vehicles is being 'multiple times safer than a human being,' a benchmark they believe is achievable. Companies like Waymo and several Chinese players are already demonstrating this level of safety, which is crucial for widespread adoption. [06:19] - **Uber's hybrid network: Humans and AVs together**: Uber plans to operate a hybrid network combining human drivers and autonomous cars for the foreseeable future. This approach ensures that fleet owners partnering with Uber will benefit from higher utilization and more revenue-generating miles compared to operating standalone. [09:29] - **Future of fleet ownership: Financial players, not operators**: Looking ahead, Uber envisions a future where fleets of autonomous vehicles are owned by financial players, similar to how hotel brands like Marriott don't own their properties. These financial owners will aim to monetize their assets as much as possible, potentially through platforms like Uber. [11:35] - **Uber's strategy for job displacement**: For the next 5-7 years, Uber anticipates that the growth of its platform will absorb new autonomous vehicles without displacing human drivers. While acknowledging job displacement as a significant societal issue for the long term (10-15 years), Uber is exploring new forms of on-demand work on its platform to adapt. [23:49]
Topics Covered
- Uber's Multi-Front Autonomy Strategy
- Elon's Camera-Only Approach vs. Multi-Sensor Autonomy
- Uber's Safety Threshold for Autonomous Partners
- Autonomous Vehicles Will Be Financialized Assets
- The Societal Challenge of Job Displacement by AI
Full Transcript
the driving force behind one of
America's most influential companies.
Record high today for Uber. 100% up last
year. Whimo and Uber have announced a
partnership. When you have a CEO that's
done what DAR has done, you set the bar
higher and higher.
>> The impact we have on society is
significant. We hope to keep building on
that impact going forward and I'm quite
optimistic about what the future's going
to bring.
Ladies and gentlemen, please welcome
Uber CEO Darra Kazer Shahi.
>> Good see.
>> All right,
>> Dar, I wasn't sure if you were aware,
but I was an early investor in Uber.
You
>> I've heard you say it once or twice,
>> and I'm curious how my investment's
doing.
I don't know. Okay. Based on today,
>> today's looking pretty good. Um, so,
uh, autonomy is the discussion I think
everybody wants to have in the timeline.
>> How many partners
>> does Uber have in autonomy today?
>> So, we have over 20 partners across both
mobility and the delivery business. Uh,
I'd say mobility now is in the field as
we speak. Obviously, we've got a
partnership with Whimo, who is uh I
think the best of the best in Atlanta
and Austin. Uh but there are a number of
other players that we are partnered
with. A number of Chinese players,
Autonomy in China is uh hitting the big
time and a lot of these companies that
want to expand outside of China, we're
partnering with. And then in the US, uh
even in in the second half of this year,
uh we will have a couple of partnerships
kind of hit the road in Texas. uh and
then in Europe and the rest of the
world. So you will see we've announced a
bunch of partnerships. We're doing a ton
of work with these partners. You'll see
these cars hit the road with safety
drivers eventually and the safety
drivers will come out this year and
especially going into next year. We're
going to have significant number of cars
on the road.
>> How many people in China have level four
no safety driver today? And what's your
assessment of those companies and their
safety record? You know, it's a
different market obviously. So there are
uh bu uh wery pony are all on the road
today. No safety driver. We are partners
with all of them. Their capabilities are
amazing. You can imagine driving in
China in these big cities is quite a
complex uh undertaking. Uh they take
safety just as seriously as uh the
western companies do. So I think their
safety record is excellent. Ultimately,
we think autonomous can be both
superhuman in terms of safety and can
save uh millions of lives over the
course of time on the road and over a
period of time as the cost of especially
the hardware stack comes down. We think
that it can bring the cost of mobility
down and make mobility on demand
available to many many more people than
it is now. So, it's going to be a very
big kind of market expander for us. So
that was the debate, Dar, that maybe
kind of exploded a little bit on X
between you and Elon where you guys I
mean very respectfully just debating the
pros and the cons. Maybe just set it up
for the folks in the audience the
difference between um Elon's approach
and the Whimo approach and maybe the the
relative pros and cons as you see it.
>> Yeah. I mean I think they're the ones
building the cars. So I'm to some extent
a very very very interested bystander.
But but the way that that I put it is um
Elon's approach
uh depends on excellent software
>> right
>> to do a bunch of the heavy lifting in
that there are some you know early on
whenever you're building product there
may be some cheat codes that you
undertake. So for example, you could
call it uh cheat codes or you know good
engineering. Some of the things you see
in early systems is one is uh camera uh
radar LAR. So multiple
>> sensors
>> uh sensors redundancy on the sensor
stack to make sure that your perception
algos are seeing the world as it really
is. Uh Elon is doing camera only. Uh
tougher on the software, cheaper for the
hardware. Okay. Second, I would say big
difference is many of the players use HD
maps. And what HD maps do is is
essentially you map out an area so that
it's much easier for the software to
determine what are permanent aspects of
a certain view. You know, the uh the
lines on the road, uh traffic lights,
etc. Because of the HD maps, it's very
very easy for that piece of software to
determine what's permanent and then
what's impermanent, vehicles, people,
etc. So, it makes the job of the
software much easier to figure out
what's going on and then and then
determine what to do. Uh Elon's approach
doesn't depend on HD maps. Uh and again,
it makes a Java solver harder. And then
the other I would say significant
um uh factor is the compute. So when you
look at the compute and many of the
other players the compute in terms of
flops and memory etc in the back of the
card uh car is pretty expensive pretty
extensive
uh and I think Tesla's approach is with
a much tighter compute stack. Do you see
a world where you try to pour your
distribution into all those solutions
assuming that everybody's amendable to
working with you and it meets your
threshold for what you're looking for?
>> Yeah, I think safety or cost or
>> exactly I'd say safety comes number one.
So we have a certain safety case that we
want to make sure that our partners
adhere to or exceed
>> and sorry just is that an eval or is
that like is that certain rates that
they have to publish to you or how do
they demonstrate to you? It's it's the
technical approach and the eval
together. And listen, it is a dialogue,
right? Because different people take
different approaches to safety. We want
to make sure that showing up on the Uber
platform, it is as safe as it can be.
And our def definition of safety is
multiple site times safer than a human
being, which is achievable. Whimo is
showing that it's achievable. Many of
the Chinese players are showing that
that it's achievable as well. So if it
meets our safety criteria and the
economics are attractive and the
economics as the cost of hardware comes
down, you know, LAR was 20 30,000 bucks
a pop like 5 6 years ago. Now solid
state LAR is 300 to 500 bucks a pop. So
the cost of hardware is coming way down.
It is going to need to continue to come
down because these cars are very
expensive. Then we'll do business with
them. We we want to be the platform and
and we want to essentially help the
entire AV ecosystem thrive and we think
there's enough economics
uh for the network player to have a
great business and uh the software
providers and the vehicle owners to have
a great business. And then obviously
there's fleet operations in terms of
housing the cars, recharging the cars,
you know, all of the um kind of in the
world uh work that's necessary as well.
>> When you you're going to get to a
tipping point, I'm going to assume in
driver miles, let's say, where one of
the most interesting things that I've
thought of is
could you tell a city how it should
actually be designed for optimal
traffic? So we work I wouldn't say for
optimal traffic
I think theoretically it's possible but
you know
something a Google could there are lots
of other players
>> uh who can help with that
>> but we're certainly helping cities in
terms of uh where you should put
charging infrastructure for example uh
parking drop offs etc uh to help traffic
flows I think we can be a partner for
cities and we do have a small operation
where essentially we offer data a for
free for cities to embark on city
planning so to speak.
>> Do they take it? They don't.
>> Some do. Some do. Some of the more
sophisticated cities take it, but I
wouldn't call it a big part of our
business.
>> So, Dar, I want to ask you about the uh
the business model impact of um of
basically robo taxis or self-driving. In
the old world, um, uh, Uber's network
effect was a marketplace effect where
you connected drivers and riders. And if
you had the most geographic density in
an area, then you could promise riders
faster pickups and the drivers got
higher utilization. And that was a very
powerful network effect. But we're
moving into a new world where anyone who
has a fleet of self-driving cars in
theory could just make them available to
the public and start competing. How do
you see that impacting your mode? And
and do you have to go from being an
asset light business to now owning all
these these cars and deploying them? And
is that a good thing or a bad thing for
your business?
>> So this I think that the same economics
apply, right? Which is if we have uh
that fleet owner um is not going to have
as many vehicles available in a certain
market than let's say a network uh like
ours and we will have a hybrid network.
We're going to have humans and
autonomous cars together and that's
going to continue for a while. You know,
the the autonomous the machines are
going to aren't going to replace all
humans at least for the f for Zipil
future. So for us um if you're part of
our network, you are going to get more
requests than the player who's doing a
standalone because we already have the
demand. The request is going to come
from much closer. So instead of, you
know, a pickup who's 15 minutes away for
a 10-minute ride, you're going to get a
pickup that's 3 minutes away for a
10-minute ride. So the utilization in
terms of the revenue generating miles as
a percentage of total miles driven is
much much higher on on our network. So
the player that you know if you have
fleet player A who's going direct
standalone fleet player B who's working
with us fleet player B will have much
more business will have many more miles
that are that are creating revenue as a
percentage of the total miles driven and
as a result each of their cars are going
to get much more revenue per car per day
than than the fleet player who isn't
working with us. So I mean that
ultimately is you know even if you if
you think about Uber Eats right there's
this drama which is hey do you go direct
only or do you work with a marketplace
and the fact is every major food player
McDonald's has a direct channel but they
have a box and they want that box to
create as much revenue as possible so
they have a direct channel and they work
through our marketplace Door Dash
marketplace other marketplaces as well
because that's how you drive
utilization.
And so I think that most of these
players, there are going to be some
players like a Whimo, like a Tesla who
can build their direct channel, but we
think if they want to drive maximum
economics out of these really expensive
cars for now, they're going to also want
to work with us.
>> Do you think you will need to buy and
deploy your own fleets or can you rely
purely on third party fleet owners? So I
think that um there's going to
ultimately if you look at the end state
I think all of these cars are going to
be financable. So if you look again in
the hotel business I used to be in the
travel business a Hilton or a Marriott
who's the brand doesn't own any of their
hotels. Those hotels are owned by
financial only players. And I think 10
years down the line you know there are
these things called REITs real estate
investment trusts. You're going to have
fleets. You're going to have financial
owners that own big fleets of cars that
are on our network, maybe on other
networks.
>> The new the new enterprise kind of a
thing.
>> I'd say it's going to be more financial
players. So, it's not, you know, Hertz
and uh enterprise are operators. These
these are going to be like pure stones
of of the world and they own fleets and
they're just trying to monetize those
fleets as much as possible. That's the
end state. Between now and the end
state, we will take balance sheet risk
because we can sign up. We know exactly
how much revenue a car can produce in
said market because that because cars
are already producing revenue. So we can
sign up for the revenue. We will prove
out the business model. We'll use our
business we'll use our balance sheet to
prove out the business model and then at
some point the whole thing is going to
get financialized and we'll be able to
take it off balance sheet.
>> Is is Whimo willing to work with you?
actually Whimo is working with us now in
Austin and Atlanta.
>> Okay.
>> So, in Austin, Atlanta, if you're using
Uber, uh you can be picked up uh with a
Whimo. Our customers love it.
>> Uh is it the driverless aspect of it
that they love or
>> you know, they're so I think I think one
is they're new cars. They're really nice
cars.
>> Yeah.
>> Um it's kind of freaking cool.
>> Yeah.
>> Uh and you do have privacy in that car
as well. So I think the combination of
it works out really well. We see
customers who experience the product,
they rate it really high highly, they
use it again. Uh and so it's just it's
just an absolute
dynamic product.
>> So we've we've mostly only spoken about
the XY axis
>> and we have a couple of our friends
who've built businesses that are, you
know, trying to launch these EV tall
businesses,
>> some of our other friends who are
experimenting with small drone delivery.
tell us where all of those things play
in your infrastructure going forward.
>> So we're we're absolutely believer in uh
EV tall. We're an investor in Joby uh
and we are going to work with them as
those vehicles become available. We know
that there are some other vehicles but I
think that the kind of Z uh axis if you
if you want to call that makes a ton of
sense. Listen in cities of the world
essentially they have built in the third
dimension because there's only so much
that you can expand you know in the x
and y dimension. So businesses have
expanded in third dimension uh
residences have expanded in the third
dimension but our transportation
uh uh infrastructure has only expanded
in two dimensions.
>> So it's no wonder that traffic just
keeps getting worse and worse and worse
because that third dimension is isn't
available. So we are absolutely
believers in uh both EV talls uh and
drone delivery. Now I think on the
delivery side that there are two areas
that we're working on. One is sidewalk
robots. It's easier tech to develop.
>> Explain what that is. A sidewalk robot.
>> So sidewalk robots um there are some of
them in LA and Santa Monica. They are
autonomous vehicles that uh drive on the
sidewalks. They drive pretty slowly.
They're very, very safe. Uh they look
kind of cute. Uh and they're appropriate
for deliveries that are a mile or less
uh long. So deliveries in a tight space.
And so there's a certain addressable
market for us in deliveries where those
sidewalk robots work. And we're working
with Serve, Cardan, and number of other
players in the US, in Japan, in a number
of other markets. Then on the other side
is drone delivery. and drone delivery is
appropriate for markets where, you know,
they're more spread out, suburban, no
highrises, etc. Those two together we
think can cover 50 plus% of our delivery
uh TAM so to speak. But then there's
another 50% that we're going to have to
work on in terms of the first and the
last mile, you know, coming out of the
restaurant and then getting the the food
into your apartment as well. Humans take
care of their own first and last mile,
but you need something to take care of
the first and last mile of the food.
That's where the challenge is going to
come in. And we're working with a number
of players to see how we can get that
first and last mile for food.
>> I want to talk to you for a minute, if I
may, about the balance sheet. Um, one of
the great,
>> you know, sort of early uh insights we
had at Uber was around profitability and
the press and the narrative was, "Oh,
Uber could never be profitable." And I
would talk to TK about it and and and
William and all the Josh in New York and
they're like, "Yeah, we could flip it at
any moment in time to $2 more a ride. We
would lose no rides and it would be
wildly profitable." And in fact, under
your stewardship, Uber has become a
money printing machine to the point at
which you announced a $20 billion stock
buyback.
>> Yes.
>> And I saw it and I said, "Wow, this is
just incredible." However,
>> did you tweet about it by chance?
>> I might have. I might once in a while
I'll retweet you and and give you a
little shine. Um, but I did have this
thought that
um, and I had Chris from Neuro on the
program and you have this great
partnership to put 20,000 Lucids on the
road. Um,
>> what wrong podcast, but keep going.
>> The other podcast. Um,
>> and so I'm wondering how you think about
the war chest, the money printing
machine and deployment of that asset.
How do you decide $20 billion stock
buyback versus putting 300 million into
Nuro or we had Travis on the podcast and
he said um he's had many opportunities
to look at things like Pony which has
been in the press and um it would be
pretty great to have the original
founder maybe I don't know you've got a
couple of billion laying around and
maybe help him have Pony come to the
west so how do you think about deploying
that capital in order to you know
continue to grow from Where are we at?
1% of rides globally are ride sharing
approximately
>> a little more, but it's between 1 and
2%. It's a very low number.
>> It's clear it's going to go to 20 with
autonomy. And so if we all believe that
and that's obvious,
>> is that the best use of the capital? How
do you make that decision?
>> So I I think the good news for us is
it's not either or. We can walk and chew
gum at the same time. Uh in the past 12
months, we've had over 8.5 billion of
cash flow. the business is growing you
know top line 18% bottom line 35%. So
that cash flow is going to grow by a lot
over the next 3 to 5 years and we
announced the 20 billion buyback because
in looking forward to areas in which we
could invest aggressively for example in
AV because we should because it's an
enormous opportunity whether it's
vehicles or fleets etc. We are very
comfortable that we've got enough uh
capital to be super aggressive there
appropriately and at the same time buy
back our stock. There's a great company
we know of. Uh management team can get a
little better but they're okay and we
think it's a great deal. So it's not
it's not an either or. It's it's it's an
and for us and we're lucky to be in that
position at this point.
>> You um have a very big business in Uber
Eatats. Um
>> it competes with folks like Door Dash.
Mhm.
>> When Travis was on the pod a few weeks
ago, maybe a month ago,
>> he he talked about sort of the
robotization of food and all of that.
Can you just talk to us about your
vision of where all of that stuff goes
to? And
>> so, we're we actually work with Travis
uh and his cloud kitchens business. He's
also built a a restaurant tech business
in in Otter as well. And I do think that
you are, you know, any food business
that is not deep in delivery is going to
lose share period for the foreseeable
future. So every single player, food
player, grocery player, even now retail
player has to get into delivery and has
to get into on demand delivery.
Otherwise, they're kind of missing the
most attractive segment of of consumers
out there. Uh and I think as the cost of
labor is going up um all of these
businesses are building are uh investing
increasingly in roboticization. It's not
something that we are getting into but
as more food healthy food delicious food
becomes more available lower prices then
our delivery business kind of will
benefit a lot. I'm hearing consistently
from you and you can just tell me if
this this is wrong that you are becoming
increasingly an asset light highly
liquid distribution network like you
have this incredible network effect. You
have these hundreds of millions maybe
approaching a billion users and you can
just pour them into all of these things.
We we are essentially we bring demand to
the assets that are driving the movement
of people and things and food and
grocery and these are all asset heavy
businesses. So the next incremental
piece of demand that comes from our
network is incredibly valuable for them
and we can do so staying largely capital
light at the same time to the extent
that I can use my capital to invest in
the AV ecosystem or fleets etc. We can
also do that.
>> There's one company that wants to go on
go on its own. A friend of ours runs it.
Um I'm think that you probably have had
some conversations obviously publicly
you have. What's the best pitch to Elon
to put a 100,000 robo taxis into the
Uber fleet while still doing his own
because his app is doing spectacularly
well and the and the pilots are doing
well so he'll obviously figure it out.
But what's your best pitch to him to
joining the Uber network? Uh I think
listen the the pitch is simple which is
if you're looking to maximize the
revenue of those robo taxis
>> today
>> uh today we are your ticket to the
maximization of that revenue to the
extent that you're looking to have these
fleets owned by people you know kind of
the digital shepherds which is is an
amazing vision that that Elon has to the
extent that those uh owners are not able
to monetize their assets on the Uber
network they will under monetize and if
there's a competitor who is offering
those vehicles to be on the Uber
network, the monetization of those
vehicles are going to be superior and
those digital shepherds are going to go
elsewhere. So I think that is the pitch
and again Elon is you know he kind of
believes in full stack.
>> Yes. um and he's proven it and and I
think that this market is large enough
for there to be multiple winners but in
the end to the extent that you know we
would love to partner with them
>> uh but at this point they're looking to
go it alone and I think the market is
large enough to carry a number of
winners in this
>> I see a tough question about uh humans I
was talking to Will Barnes who ran um
originally in Los Angeles and then half
of the country for for Travis
>> and uh Will Barnes had a pretty amazing
insight which Because in the early days,
we had humans protesting humans
competing for, you know, the taxi
drivers versus the ride share drivers.
Um, in China, in Wuhan, in fact, there's
been a lot of civil unrest. And they're
talking about limiting the number of
licenses for self-driving cars because
of the disruption that would happen if
young men who have those jobs are not
able to have a job. And we saw the
Whimos get called to their death here in
Los Angeles. And that was a pretty clear
message as well. How do you think about
that group of people losing their jobs?
These drivers who built the Uber
network, who built Lyft, who built Door
Dash and China's overwhelming concern
about this um because these are robots
taking human jobs and there's an you
know there there's a lot of discussion
about this and I think maybe in the tech
industry we don't talk about it headon.
>> I think listen this is it's a big issue
for AI in general and uh job
displacement. You see it with younger
graduates as well. I think for us at
least for the next 5 years uh the number
of robot cars coming onto the platform
are not going to be displacing people
because the platform is just growing so
quickly that we can very easily take
that take that demand and and there is a
natural turnover of our driver base. So
in a market like in Austin uh or other
markets in which we're launching uh uh
autonomous we will turn down the driver
recruitment uh machine so the robots can
come in and the drivers who are
currently driving in the platform can
make as much money. So Austin drivers
now are making as much or more money
than they were before we introduced
Whimo. So I think for the next 5 to
seven years we're we're going to have
more human drivers and delivery people
just because we're going so quickly. But
I think you know 10 to 15 years from now
this is going to be a real issue. And
Jason I don't have a neat answer for it.
Now we're finding like other kinds of
work. We've got uh drivers and couriers
uh you know uh labeling AI labels and
looking uh you know uh we have a whole
Uber AI solutions business. So we're
essentially one way to look at Uber is
we are a platform for work and
transportation is the first kind of work
and now we're expanding into other kinds
of ondemand work as well to uh be able
to adjust the kind of work available to
people who uh want to earn our own
platform. But I think longterm this is a
big big societal question that we're
going to have to struggle with and lots
of others are going to struggle with
too.
>> Absolutely.
>> All right. Thank you very much.
>> Thank you. really appreciate it.
>> Great.
Crushed it. Thank you, my brother.
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