Marc Benioff | All-In Summit 2024

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