Marc Benioff | All-In Summit 2024
1055 segments
it is the center of the technology world
right now it's not what Mark did it's
when he did
it and the king of the cloud is
Salesforce please welcome Mark
Ben one of the things that really
matters me is having a positive Global
impact technology is not good or bad
it's what you do with it that matters in
your quest to change the world don't
forget to do something for other people
and that was a moment in time when I
said wow when I start a company I'm
going to make sure that philanthropy and
giving and generosity and these values
are in the culture of the company from
day
one you want to stay
here are you want the couch you want to
sit on the couch where you want to sit
I'll give you the couch I'll sit
here you deser you deserve the couch you
deserve it the big couch
okay it's little little too close it's
nice to see you also I I warned you that
I I'm not the the interviewer in the
group you but this is you chose me so
I'm
honored but you're the nice one oh okay
thank
you well it is am I right is he the nice
one and you're the one that all the
women really like like I'll talk to my
friends at dinner there like you know
sax what's he like he's amazing let's
just say we're honored to have Mark
Benny off here and uh truly who's a
Visionary in the world of software and I
would say you know there's probably a
lot of and I thank my mother for writing
that video by the way is well Mom thank
you for writing that for me great you
know in the in the world of business
offer in particular we don't have that
many people who you can describe as
Visionaries but you consistently have
been one you really it's true
you got the I think the whole we're
sitting now on the edge of the couch
okay here we go maybe we'll end up on
the floor I don't know what's going to
happen I'm trying to keep it engag
around a lot oh okay all
right is this how it's going to be the
whole
time way worse way worse okay all right
let me finish the this little intro here
um I forgot where I was so can I just
before we start you know
listen so I want to just do something I
would not normally do and this is like
going to be a little bit of a thing but
I just have to do a little Riff on this
but we just heard some an extraordinary
presentation on an extraordinary man and
there's somebody who's amazing that most
people don't get to hear of and we just
heard his name quite a few times his
name is shin yamanaka Yaman nakasan he
is um based in Kyoto Japan but he works
halime at UCSF
and it's amazing what his vision for the
world is that he thinks basically that
we're salamanders and we're going to be
able to regenerate ourselves and that's
amazing and so I've been friends with
him maybe for a decade but I fund his
research and so a lot of these things to
watch him have these breakthroughs and
you heard about the yamanaka factors the
yamanaka factors which are basically
this idea that
yamanaka had this breakthrough in Kyoto
you know basically hanging out there in
his lab eating the sushi the whole thing
and
then boom and he goes if I take these
four things I can take an ordinary skin
cell just any little skin cell and turn
it into a stem cell which is like the
the heart of human existence and he did
it and he was able to repeat it and
repeat it and repeat it and he won the
Nobel Prize for it pretty cool and then
he and I'm going to get the
pronunciation of this wrong but but he
then was able to take that stem cell put
it into your eye if you have tacular
generation and
boom healed the eye because the eye
regenerated then he worked with a buddy
of his in the lab next door and he took
the same thing took the stem cells and
he turned it into on a cookie
sheet and it looked like it was like a
plastic thing on the cookie sheet it was
really cool and then he's like took out
somebody's cornea that was all screwed
up cut the material out of the cookie
sheet popped it in the eye and the guy
could see it was like amazing then he's
like listen this is
amazing I bet I can grow a
brain so he took the step cells and he
started growing brains called
organoids and he's like got a cookie
sheet of brains and I'm like really he's
like this is amazing look at all the
brain brains and I's like and then I
went and saw him and had lunch with him
and like I'm like what's happening with
the brains he's like I stopped the
brains I'm like why did you stop the
brains I think they can feel the pain
I'm like oh
scary then he's like then I said to him
now what are you doing oh I'm growing
intestines I'm like whoa intestin is
that good he's like huge idea I can now
grow intestines on the cookie sheet and
taking the you know stem cells I've got
a whole intestine here and then like he
can do like turn it into a lab for all
the horrible things that people get in
their gut and all these diseases that
have never been cured but now you have a
real simulated environment this is an
incredible person anyway where do you
want to go with that I'm going I'm going
with this you got to stay with me trying
to help bring the energy up in here okay
listen follow just hold on hold on hold
on hold on hold wait wait wait this is
going to get good okay so then I'm like
you heard the story like at the end they
said listen how do I get these
regenerative factors going inside myself
so UCSF just published research based on
funding grant that I and others have
given them and they had a breakthrough
that the regenerative Factor inside your
own blood is called
pf4 and the way you get pf4 and I'm not
going to get this exactly right because
you know I'm in software I'm not a
doctor so just follow with me I thought
that's what we're going to talk about
today that I know but I got to tell you
this cuz I'm got so jacked watching that
one is it was either that or those crazy
shots you have backstage I don't know
okay number one is P4 you get more
regenerative factors in your body like
what you know calorie restriction and if
you know David and I that does not sound
very
good two working out with weights also
not exactly our top thing
parabiosis do you know what that is so
parabiosis kind of came out of research
published a decade ago in New York Times
and others which is came from salval
another person I work with at UCSF where
they took the blood of a young Mouse and
put it into an old mouse and then the
old mouse got young again and that was
moving the pf4 into that old mouse so
that's and the fourth thing is cloth
theapy which is a genetic therapy that I
don't really understand and these four
things can start to generate more of
these things inside your body so then
I'm like getting excited I'm like God I
have these problems maybe I can
regenerate different parts of myself
whatever and so I'm talking to my doctor
at UCSF because I'm going through my own
serious problem where I'm like my left
leg is like a half an inch shorter than
my right leg and I'm running on the
treadmill and I'm always ripping my
achilles ripping ripping and all of a
sudden my achilles looks like it has a
dut and in fact I went to UCSF and
there's like an MRI you know well how
many of you have had an MRI raise your
hand so you know what as horrible it is
anyway you get in this big machine
they're looking at my Killers they're
come out they're all like this oh sorry
about this really horrible and I'm like
so I kind of took this thought and I'm
like talking to my doctor I'm like why
can't we like do use some of this figure
out what we can do so he's like all
right I'm come back on Wednesday so I
come back on Wednesday at 5: CL you know
I'm in Mission Bay at UCSF and I'm like
hey Anthony where is everybody we're
going to talk about it come into my lab
so I come into the lab they've got like
a centrifuge there all this stuff going
on I'm like well this is interesting
it's like did you work out today yes I'm
work out do you're following the P4 I'm
doing it okay this is what we're going
to do it's going to be very
straightforward because we have two we
have two things we can do with you mark
number one we can just take your kill
and we bring you into surgery right now
we'll just shave off half your Achilles
and then put you in a boot and see where
you are in 6 months I go doesn't sound
great second idea what we're going to do
is we're going
to we're going to take a scalpel B right
here we're going to cut into your
Achilles like 20 times and into your
ankle I'm going to take your butt I'm
going to spin it I'm going to try to
find the pf4 in your plasma I'm going to
inject it into your Achilles and into
your plasma slice into it with my
scalpel I go sounds great goes one
problem I go with that we don't use
anesthesia to do that why because it
destabilizes the PRP and the plasma and
all the pf4 and all that I'm like let's
rock let's rock so he did the whole
thing and then boom like an I'm like a
salamander they grew me a new Achilles
right in place so that thing that you
just heard that is real
and you know it's pretty awesome what
can what and uh it's yeah I have a
question for you um so if he can sell
three billion into his startup I should
probably start I'm ready to go got the
pitch did do you ever consider that you
missed your calling as a scientific
researcher definitely not definitely not
you're happy with the choices you made
well no that's an incredible story so
you are one of the first to actually try
using the yamanaka factors on yourself I
wouldn't think I'm one of the first but
I think that it's very real and it's
going to going to have a huge impact on
our whole on our lives and I think that
we should be supporting these medical
researchers I think it's it's one of the
reasons that I've you know put almost a
billion dollars into UCSF of
philanthropy because I believe in these
people who have absolutely yeah they've
dedicated their lives you know to basic
science and doing and meeting them they
so inspiring to me and like I just had
lunch with yamanaka and salval and
Anthony Luke and another incredible
researcher Mark moiser at my house and
like we're talking about the
intersection between oncology and
regenerate medicine which is like two
completely different worlds that don't
talk to each other and it's what
inspires me that you know we can you
know work with others to kind of get
give them the entrepreneurial push to go
do something incredible and these people
are just awesome each one is amazing
that is that is incredible so let's
shift gears and talk about something
else nice coincidence with the yeah no
it's incredible it's a great story I
know you you're very philanthropic and
do a lot with UCSF so uh kudos to you
for encouraging that type of research uh
let's shift to to another thing that's
having a huge impact in our lives which
is the cloud and software where you were
a Pioneer you started Salesforce back in
1999 25 years ago 25 years ago and how
long have you been a public company for
at this point
24 to 20 years 20 years and one of the
things I noticed count 80 earnings calls
yeah well actually speaking of earnings
let's here let's see if we have this
slide do we have earnings well first oh
yeah oh boy what's what slide is that
this is your stock chart over 25 I think
25 years 20 years yeah you're almostly
your all I guess there's no linear
success exactly right yeah really good
point yeah we had a keep basically had a
bubble we had a bubble inate 21 we had a
huge correction in 22 there was I need
to make a note of that we should talk
about that but you're your basic back to
where you were this is one of your
tweets actually this is one of the
things I appreciate about the way you do
earnings calls is you just put out this
really simple tweet and it just and it
shows a
progression and if you know if you like
looking at numbers the way I do and
seeing patterns in them one of the
things I noticed a while ago was that if
you start at the bottom and work your
way to the top that Salesforce is
growing by about 20% a year and if you
look at it over 3 years that's roughly a
dou
so every 3 years Salesforce was doubling
and that means that over a decade it's
growing 10x and so every decade is
basically an exponential if you can
stick with it long enough that was one
of the patterns I noticed with sales
look I I think that you know that the
growth obviously is incredible to 38
billion and obviously the cash flow is
incredible you know it's more than C
Coca-Cola did I think last quarter and
the margin is incredible but let me just
say probably the best decision we made
in not on the slide which is the day we
started the
company um we put 1% of our Equity 1% of
our profit 1% of our product 1% of all
of our employees time into a 50613
foundation now at the time it was very
easy because we had no employees we had
no equity we had no profit we had no so
wasn't very complicated but that idea
though really kind of created the
foundation of the company because we're
able to do now and I think you know the
numbers right where you know almost 10
million hours of volunteerism we've been
able to give away almost a billion in
Grants we run almost 100,000 nonprofits
and NOS for free on our service and I
think it really set the stage that
business could be the greatest platform
for change when it came for Salesforce
it un it gave it that philanthropic
platform so is there two billion in
equity sitting in that 501c3 at this
point a lot well there's more I think
there's about a half a billion in the
foundation and a lot of has been already
given out and then we give out more
every year and every month every day
whatever but like on Monday we'll give
another $25 million approximately to the
San Francisco and Oakland Public Schools
and that is you know we've given them
about $150 million I mean it's it's
obviously I went to Public Schools it
was very important to me but all my
mother was a teacher in the San
Francisco Public Schools but also our
employees you know have 75,000 employees
their kids are in the public schools and
so it's a key part of our Mantra and our
culture that we're trying to support
public education I adopt a public school
I really think that each one of us can
needs to focus more on the public educ
education system in the United States
it's something I encourage in not all my
employees but whenever I do a
presentation I'm like you know my public
school is like a block for my house
procedo middle school and I just went
down there and knocked on the door and
they're like who are you and I'm
like what do you how can I help you and
what can I do to support you they need a
new playground they need this they need
that and maybe they just need some me
some support moral support um but uh
it's been a great thing to really anchor
the company in those values and I think
it's an important thing uh for every
company so what did you think when you
saw that open AI started with a non
profit not as 1% but as 100% but then it
became a for-profit what did you think
of that Innovation confusing I you know
I mean 18,000 companies have now
followed our 111 model you can find out
about it at pledge
1.org that other model I don't really
understand I think we've proven our
model this is important you know we came
out with three models the cloud model
which you also have been part of that
the subscription model you've also been
part of that and the philanthropic model
and you've been part of that and those
ideas that we're doing three models
that's continues to be the fuel for the
company and extremely important and I
think that for a lot of these companies
that have followed us that have gone
onto scale and have had huge IPOs and
whether it was slack or whether it was
at lasan or whether it was eilo or
whatever they have these huge
foundations and have had huge impact and
business can be the greatest platform
for change and you can do a lot with
your business and you you know we are
all building great products okay that's
great and we're selling them that's
great too but we can also do a little
more with our business and we can use it
in a positive way and try to move the
world maybe a little bit more in the
right direction okay so let's talk about
the cloud part of that Innovation where
do you think we're at right now I mean
is it it's is it all AI all the time how
how are you thinking about it we're at
the precipice of the greatest moment in
the history of enterprise software and
of cloud computing there there's no
question we you know I had a moment I
would say more than a decade ago which I
call my kind of AI freakout moment where
I really felt I mean maybe it's you know
obviously we've all spent how many of
you watched Minority Report all right we
saw that movie and what about war games
War Games anybody remember that from
okay uh
her um yeah we all saw these movies
Terminator Okay that one's a little
scary but we all seen the movies and you
know like Peter Schwarz who wrote or was
a key part of writing Minority Report
and um also war games uh you know as our
chief futurist at Salesforce and a
decade more than a decade ago I had this
moment where I was like okay this is
really happening here we go and bought a
bunch of companies and put together
Einstein and Einstein has done amazing
you know it's doing trillion
transactions trillion and a half
transactions a week predictive
generative I really thought okay this is
was going to be the moment but now I'm
really convinced that we are now really
at the moment right now where enterprise
software is going to be completely
transformed with artificial intelligence
and we're going to see it and obviously
I'm getting tuned up for dreamforce
which is going to be Tuesday of next
week how many of you are coming to
dreamforce not enough
anyway sad these aren't my people I'm
leaving now
well it's good you well they look but no
let me just tell like since you're not
going to be there let me tell you what's
going to
happen thanks for being part of my team
anyway number one
is you know we're going to you know we
really see a moment right now where we
are 100% focused on one thing and one
idea and I can tell you why that is if
you're interested but it's agent force
and agent force is the most exciting
thing I have ever worked on in my
career um it's the culmination really of
everything that we've done at Salesforce
because to make agent force really
deliver we had to have all of our
customer touch points wired up which we
do we have to have an Amalgamated data
Cloud because we need the data
especially to achieve the AI accuracy
and the metadata as well and we have to
have the agents it's these three layers
that are really going to deliver this
next generation of capability and I was
just with Disney last night and Disney
has agent force they have the newest
version which we call Atlas which is our
most accurate not just model but we have
an extremely unusual technique that
we'll talk about and Atlas delivers for
for Disney for their cast members which
are their employees through extremely
complex uh problems that it's solving
for them more than 90% accuracy and
almost no hallucinations and in some
cases 95% accuracy and almost no
hallucinations and that idea that we can
kind of come into a very difficult and
complex and sophisticated data set now
with now with Disney if you go to
disneystore.com that's Salesforce if you
go to the Disney parks do you still go
to Disneyland sometimes yeah okay you
ever get a Disney guide sometimes yeah
it's great because you get to cut around
the lines and all that how many of you
have done the Disney guides thing we got
like a lot of poor people here
actually sad anyway she get these Disney
guides cuz they're like get you around
the lines you got do 30 rides a day and
it's much better than having to wait
okay but
anyway Disney guides run on sales force
they just SL they have slack too they've
got we do disneystore.com we have Disney
plus because you know the service now
like fell over and we had to like
replace that inside the Disney plus call
center we have we're do the Disney
Cruises and the Disney real estate and
we have every Disney customer test Point
all wired up so The Amalgamated data set
that we have around Disney is awesome so
when we can take that Disney data set
and then we apply Atlas and agent force
okay so how do you define we are able to
deliver a level of accuracy that has
been incredible and I've got a couple
more examples I can tell you that are
just blowing my mind and I never thought
it was really possible but now it really
is go ahead yes well I just wanted to
you want me to ask you a question
also no no no um what do you mean by
agent because we're starting to hear
this term a lot but I think a lot of
people here may not know what that means
in the context of AI did you see the
movie The Matrix yes I did so are we
talking about agent Smith or what are we
talking about well we're at some level I
mean I think like I'll give you an
example that you know um we're working
with a large medical company not so far
away from her Kaiser they've got 20
million patients they have a super
complex data set they have all of the
data from epic they are the largest epic
customer in the world and more than 90%
of all patient inquiries and scheduling
requests and schedule my doctor schedule
my CT scan my MRI my this my that are
being resolved by agent force and Atlas
that idea that we can resolve through a
autonomous agent a deep and complex
customer interaction is a breakthrough
thought obviously we have to do a few
things to make it really work for our
customers number one is it's got to be
trusted because our customers Trust
we're running the largest banks
insurance companies media companies cpg
companies blah blah blah blah blah in
the world number two is it's got to be
easy for them it can't be some separate
team that they're going to spin up it's
their existing Salesforce team it's
happening within the Salesforce platform
it's got to be open it has to have be
able to work with and interoperate with
other systems it's going to have to be
multimodal so it's going to have to
speak to them and have voice and video
and do all of those kind of incredible
capabilities and one other key thing
because evidently the humans have not
gone away the doctors have not gone away
from Kaiser and the cast members have
not gone away from Disney and on and on
so we're going to have to handshake
seamlessly with our apps so even though
we have all these apps and we've wired
up all these customer touch points the
agents are autonomously interacting with
and building the data and metadata and
extending it and by the end of this
month we'll have more than a thousand
customers on our agent force platform
the efficiency and productivity that
we've been had with agent force is like
nothing I have ever seen with any of our
customers or technology in the history
of software but there's a second point
it isn't just about this kind of ease of
use it's that that they have the ability
to do things that are truly astonishing
and that is also generate Revenue so
they can go out and like on a day like
today like it's 10 something degrees
outside or if you been out there it's
pretty
hot and Disneyland may not be as full
today as it's going to be and they knew
that was going to be true two days ago
that a heat wave was coming Disney can
proactively go out to their consumers
and their customers and say hey come
enjoy the heat with us all you know
Disneyland and we're going to give you a
special promotion or Price or contest or
whatever it is to come to Disneyland so
we want to be able to proactively go out
and generate revenue and we also want to
be able to kind of bring that customer
service in I think last night I had
dinner at Beverly Hills at the grill
have you been there great right cream
spinach well I did something different B
what do you want what do you prefer um
well I like like potatoes you know
potatoes okay po you know any kind of
potato you like any kind of potato baked
potato steak fries all so I'm on Open
Table Right anybody here use Open Table
not it's very weird group
anyway
so oh I'm using anyway you can use Open
Table to make restaurant
reservations and there's 160 million
consumers on Open Table they're not in
this room but they're somewhere and
they've got also 60,000 restaurants and
they've got a lot of complex issues you
know in regard you know I didn't get my
table or my food wasn't right my potato
didn't get cooked whatever it is these
things are going to get worked out but
also all of a sudden the restaurant's
like oh look we're not as full tonight
as we want to be and we're willing to do
let's go out to our customer base and
bring them in but let's do it through a
complex conversation you know an
empathic conversation as an agent with
our customers I think it's going to be a
rocket ship okay so so how long will it
be until when you call a customer
support center you're talking to an AI
that sounds like a human and you can't
tell the difference are we there yet or
we're there yet we are already at that
point we already have that live and we
will have that scaled for thousands of
customers before the end of um live for
with thousands of customers live before
the end of this year and we just I just
demoed it I was just just at a
conference and spoke uh mile couple
miles away from here at KPMG and we
showed them that exact situation where
you know through you know we used to
call you know this kind of voice
response system whatever but you would
kind of hit a wall pretty quickly with
your Bot you know but these aren't Bots
these are not the Bots you're looking
for these are like we're really getting
to like another level capability and I
think that it's pretty impressive and I
think in the example of Disney you know
Google has some great products I know
Serj was here yesterday and they've done
a great job with AI as you know but in a
head-to-head Benchmark of sales forces
agent force against Google's AI uh we
twox them on accuracy and the reason why
is we'll explain it next week um you
know it's a couple of things not only is
there our NextGen models but it's also
new techniques involving Next Generation
retrieval augmented generation rag
techniques that no one has seen before
and it's really incredible what's
possible so you're kicking Google's ass
I'm cool with that well they're good
partner also customer and I love them
but yeah it's it's competitive just yeah
let me keep let me keep holding on this
we're trying to all make AI a little
more accurate and a lot of less a little
few less hallucinations along the way
let me give the audience a little update
about something we just heard at open AI
they just did a a a day where they
brought in relatively small number of
investors and kind of give gave us all a
update on their product road map and it
sounds kind of similar because
everyone's moving in the same direction
so there are three big takeaways number
one was that they said that llms would
soon be at PhD level reasoning right now
it's more like a smart high school or
college student in terms of the answers
we're going to be at the next level
shortly behind that is agents like
you're talking about and then third and
closely related is that agents will have
the ability to use tools and a tool can
be a website so if you think about it
now you've got this llm it's really
smart it's got you know it's like a
PhD it you can give it an objective it
will break that objective into a list of
tasks and those tasks can include using
other pieces of software and thanks to
things like open AI just launched the
audio API which developers can use it's
in private beta we have some companies
using it the llm can now basically
pretend to be a human and you know
there's it won't be hard to find a piece
of software to enable a phone call so
you can imagine telling a a personal
assistant agent that and it could be you
know it could be open table that hey
book me book me a a dinner reservation
at the grill and it could place a phone
call on your behalf and actually talk to
the grill it could also go on open table
and just use open table and book it but
if for some reason that didn't work it
could literally place a phone call on
your behalf and the person picking up at
Open Table wouldn't even know that your
agent actually isn't a human it's an AI
but here's where I think it gets really
crazy is when the phone gets picked up
on the other end that could be an AI too
pretending to be a human so you could
have two AIS pretend to be humans
talking to each other and resolving
tasks on your behalf and I I literally I
think that's where it's at it we're
definitely moving in this direction but
there's a cautionary tale here and I
think that I'll just tell you the real
world experience with my customers and
what I'm the problems that I'm trying to
solve for them I I think in the last few
years we've kind of heard and you know
some of it has come from open AI but
especially from Microsoft that we're in
this co-pilot world and these co-pilots
have universally failed the level of
accuracy the spillage of information the
lack of trusted environment co-pilot has
been a complete disaster
and that idea that this kind of amount
of Technology got you know released and
sold into these very large customers
telling them that the all promise of AI
is here but didn't do it in a trusted
way didn't do it with the level of
accuracy didn't do it with the level of
security needed and one of the things
that was interesting because I was with
one of the customers would trying to do
this exact technique that you're talking
about which is a large
telecommunications company in
Seattle and what this company did is
take model of nope going to just tell
you training a model retraining a model
building their own model Mark we have to
have our own models we're going to DIY
it we're going to DIY our Ai and it's
going to be awesome then we're going to
write our own agents and we're going to
do this we're going to do that the other
thing and I'm sitting there and I'm
going through it and whatever and I'm
then I finally I'm like now show me your
benchmarks and show me all these
different pieces and and you know for
them it's a bit of a science project and
I've seen this now with a number of our
customers that they're kind of DIY and
their Ai and you know DIY I think it's
fine if you're like Neil Young and it's
homegrown and it's Canada and it's you
know Ontario but this is not what you
should be doing with your artificial
intelligence but what are you guys using
as your foundation model is it llama 2
like what do you guys use we have a lot
of our own models our own techniques our
own and then we let you bring in the
model that you want but we are all about
achieving your accuracy because what
I've seen with these kind of approaches
especially the one that you just
outlined is that yeah you can get maybe
30 or 40% accuracy you know in this case
this customer is 25% you had somebody on
the stage yesterday I won't tell it is
who's a common friend of both of ours
who tried to take this approach for a
large telecommunications company that he
owns and he said he was getting about a
25% accuracy with this homegrown model
and I'm like why are you doing that
instead in our platform the platform is
building the model for you you're not
having to train and retrain your own
models you're building your own models
in our platform and we're going to
deliver much higher levels of accuracy
for you and we're going to deliver AI
this is the AI that you want this is
this next generation of AI and I think
that we'll have to prove that with
benchmarks and with bake offs and to
show customers because the promise is
amazing but at a very deep level
customers are going to need you know
what you and I have done for the last
you know 20 years of our life which is
build professional Enterprise software
and delivered to them and a capability
And in regards to an agent running
enterprise software I mean you just saw
like that was the
fundamental business model of adept
which was David Lewan's company you know
and that's he built gpt3 then he left
open AI to start Adept and this idea to
build agents that are going to drive
apps I'm sure that all of those things
are going to happen but again you have
to get to a level of accuracy because
everyone in this room and you and I
we've all had this experience where on
these models and it's like this is not
really more than hallucinations and
that's no good or as we say here in Los
Angeles no es bueno when it comes to
okay Kaiser and you're dealing with
health care you know when you're dealing
with health care and you've got a
patient and you're reading their medical
records you better be delivering more
than 90 or 95% accuracy because the 50%
accuracy thing is no good well I can see
you're ready for dream Force I'm trying
to go find it I'm testing mat out here a
little bit what do you guys think I'm
like are you are you guys excited for
the rise of Agents yeah it's going to be
a really big deal I think that
everything we've seen so far with llms
has been again about reasoning and and
generating but with agents the AI is
going to be able to take actions and and
they're going to know how to use tools
which until now it's been some the only
human I got to tell you a really good
story because you're like inspiring me
around uh you know Steve Jobs had a huge
impact on my life and at I worked at
Apple in 1984 when I was a I was uh in
high school and coming into college and
I was an assembly language program I
wrote the first Native Assembly Language
um on this Macintosh know the 68,000
assembler and sitting there in the cubes
and Steve is running whatever it is and
thank God you know I have this
relationship and influenced me so much
in my life and then called me on a
series of times and after I started
Salesforce gave me really key advice
anyway it was 2010 and he calls me come
down here I need to talk to you I'm like
what the hell what did I do this
time so I go down there to his office
and I always bring a few Salesforce
employees with me and I've got some
great folks with me and we're sitting
there and he's like I'm going to show
you this and I'm like all right let's go
and he brings out the iPad and he's got
two of them he's got the big one and the
small one
and he's like yeah Mark here it is you
know but I don't like the small one I'm
only going to have one size you know
that I'm like yes sir and he's like uh
listen you know I've been working on
this concept for a long time and you
know in
2007 um I introduced a iPhone and you
know I said thank you for sending me one
I love it it's great like but do you
know why now we're doing the iPad I'm
like no because I know you had that too
in 2007 oh yeah but you know what the
real situation here is that couple I'm
like what is it Steve he's like we only
have one a team here one a team so we're
only focused on one thing at a time and
then he lays out like five or six
products on his coffee table and he goes
and we will never have more products
than can fit on my coffee table and I'm
like well that's really awesome and he's
like I've been focused on 2007 on the
iPhone and now I'm gonna zero in and I'm
only going to do iPad one focus at a
time remember that Mark that's the way
you need to rent
Salesforce and I'm like okay is that why
you brought me down here yes you may
go and and that's how I feel right now
about agent force this is all I am doing
just try to take our company you know we
have a great company 38 billion Revenue
75,000 employees hundreds of thousands
of customers and one Focus agent force
this is the because of what you're
saying this is the moment this is the
greatest opport opportunity in the
history of enterprise software and it
must be executed with absolute Acuity
and excellence and that is what I think
we all need to
do you know so so I agree with you I
mean I think the agents are going to be
huge and Elon say something kind of
similar to the other day um he said we
was we got him talking about Optimus you
know his his robot heard about the farm
animals I didn't know about the what was
was there another part of the
presentation he said well he was talking
about he's talking about Optimist and um
oh you the the thing thing about these
jokes are all each one is kind of dying
very fast it's sad took me a second to
to realize that you were talking about
his
um but now I got it okay um no he was
referring to um it's great how you bring
this humor into uh the Allin yes it's
very subtle I understand
um so what Elon mentioned that really
stuck with me is he said that humanoid
robots the creation of these humanoid
robots are the biggest Economic
Opportunity in the history of the world
the average person is he making some of
them by any chance he is but well it's
kind of like you saying that uh agents
are the biggest opportunity in the
history of Enterprise sofware let me
write that down thank you for letting me
know that it's it strikes me that
there's something similar here which
isan is a good salesman is that your
point well I'm I'm saying there's an
analogy here between he didn't give you
the regenerative pitch is that my
well no what here me the point is this
is that is that where we're going with
AI is it's going to be able to take real
actions and in the case of Optimus is in
the physical world and it's going to be
the brain for these humanoid robots in
the Enterprise it's basically the brain
for these agents I think these things
are actually pretty they're on Parallel
tracks I wouldn't say they're competing
and these are the droids you're looking
for so I think anyway I think that uh I
I think you're right about this
opportunity and what I'm saying is I
think it's analogous to what Elon is
seeing with robotics I think there's no
question and I think that for our
customers they're going to augment their
employees they're going to make things
lower cost they're going to increase
their revenues they're going to increase
their margins we're going to take some
customers and just turn them into margin
machines and I think that the
opportunity in the Enterprise is
unbelievable he's also directly
addressing the consumer Market which I
think is very exciting obviously he's an
expert in that area and yeah we're about
to move into this new world of AI of
droids of all these things and you know
it's a bunch of waves of you know where
you know look technology is getting
lower cost and easier to use it's a
Continuum and we're all rioting that
Continuum this is extremely important
but also what's very important is
especially as we move into this we all
have to think about what are the values
that are going to guide this technology
because each of us have seen the movies
we all watched the movies that was the
one place where I got the hands to go up
right so we know how it can go really
wrong right everybody saw that part of
the movie so what are the values what's
going to be really important to us will
it be trust is it customer success is it
Innovation is it equality is it
sustainability is what are the values as
we kind of guide into the next level of
the future because those core values
that we need to manifest and really
focus on that is I think still out there
as a major discussion item it's got to
be figured out and that is why we're
very lucky that you are one of the great
Visionaries of our industry because
you're not just a great entrepreneur and
CEO but you're a great human being so
thank you
Mark thank you
Ask follow-up questions or revisit key timestamps.
This video features an interview with Salesforce CEO Mark Benioff, discussing his philanthropic work in medical research, the evolution of Salesforce as a company, and the future of artificial intelligence. Benioff shares a personal anecdote about his innovative treatment for an Achilles injury using stem cell research, then transitions to discuss how Salesforce is focusing on 'Agentforce'—an AI platform designed for autonomous enterprise tasks. He emphasizes the importance of trust and accuracy in AI, distinguishing his approach from 'DIY' methods that often result in high error rates. The discussion concludes with a reflection on leadership, values in technology, and the future of AI agents in the enterprise space.
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