Dreamforce Main Keynote 2026

Everybody wants to know who's going to win AI. Which model? Which company? Which one is the smartest? But maybe that's the wrong question. Because the future isn't about choosing one intelligence. It's about having access to the best intelligence in the world and choosing the right one for whatever you are trying to do. The AI you want. for the job you need done. Now, there's just one problem. See, these models may know just about everything there is to know about the world, but they don't know about your world, your customers, your business, your pipeline, your inventory, your service history, your contacts, your permissions, your processes. But you know what does? Salesforce, a true partner that knows your business. Because before you can act, you have to understand, right? I mean, really understand. Your context. When your data is connected, now you have a foundation and a 360-degree view of the customer. This is where decisions become action. Sales, service, marketing, commerce— every function, every industry executing with precision inside the applications that you already trust. Now you create a system of agency. Agentforce. This is where your intelligence is multiplied. Agents that reason with the full weight of the business behind them. Built with governance, deployed with control, observed, improved, trusted. You see, for more than 27 years, Salesforce has been helping you understand something better than anyone else: your customers, your data, your relationships, your conversations, your transactions, your workflows, your business rules. The truth of how your company actually works. So what happens when you take the world's frontier AI models and connect them to all of that? Any surface, any interface now becomes your coworker. Say hello to AI Force, the world's leading AI models connected to the world's number one AI CRM. And once you see it, there's no going back. You see, for decades, We've had to go to software, open the app, find the screen, navigate the menus, go looking for what we need. AI Force flips that around. It's not the end of software. It's the end of software that makes humans do all the work. See, the interface itself now becomes dynamic, intelligent, open, composable, and it's right where you already work. You don't have to go find the enterprise. The enterprise comes to you. Ask about your pipeline, and suddenly you don't get 12 links and a dashboard to go figure it out. You get the answer. Build the account plan, fix the service issue, launch the campaign, change the offer, move the inventory, create the workflow, close the deal, and blaze a whole new trail. So maybe the future of AI isn't about which model wins. It's about how you win. The AI you want. The trust you need. Welcome to To the Agentic Enterprise. And now, our CEO and Chair, Mr. Marc Benioff.

Good morning, everybody! Good morning, everybody! Is this microphone on? Good morning, everybody! Aloha! We are so thrilled to have everybody here. What a great, great group this is. Wow, can you look around this room? It's amazing what's happening here. Totally incredible. We are gonna have an amazing day. We're gonna have an amazing conference. We've been on the road exhaustively for the last 2 months. I've been in Europe myself for the last 2 months. You're gonna hear some stories about that. Then we got back here. It's the United States. We did some incredible focus groups with all of you getting ready for this amazing Dreamforce keynote. And let me just tell you this, we have never been more excited about a Dreamforce in our history. This is going to be absolutely incredible. You're going to see some truly amazing technology. You're going to meet some incredible people. And we hope to open a door for all of you. Now, for the last 2 months, I've been in Europe. It's been amazing. I've met with hundreds of you. You've inspired me, you've energized me, you've really shown me what the future was, and it's been an incredible experience. But I'll tell you something amazing that occurred to me while I was in Europe. I had this awesome meeting with one of our top customers in Lausanne, Switzerland. And it was like exhaust— long meeting. It was like 3 hours. And we were getting down to the end of the meeting, and I was like, I really want to show you what we're going to do at Dreamforce. It's going to be amazing. And so finally, I had our CEO of Switzerland with us. He's here today. I said, all right, let's show them this amazing new technology. And we showed them the beginning. of something we're going to show you today called AI Force. And they started using this platform. We've been using it to kind of build and run our company now for several months. It's been transformational for us. In this case, we were using the version built on Claude we call Cowork. And, and this, this Claude Force product, we're about to show it to you for the first time. The customer at the end of it said, This is really something like I see several things. One, we had built a full new interface across their entire enterprise. It did a complete AI transformation in real time with the customer. That was awesome. But number 2 was this. The customer said, wow, what I see happening right now is that you are really unleashing for me trapped value. in my system that I knew was there, locked in the metadata, locked in my systems. And for the first time, for the first time, for the first time, they saw that trapped value coming into real value for their company. That's when we realized we could say, hey AI, meet this number one CRM Salesforce and unlock this trapped value from anywhere. Now, I want to just tell you, we are here to do many things with you. Now, one of the things you're going to see is that when we get into this incredible platform for our Trailblazers— do we have any Trailblazers in the audience today? We've got a couple of them here. For our Trailblazers, this is the most empowering piece of technology we've seen. It really becomes a partner for you. It becomes a partner in helping you to execute the next generation of your enterprise. And these demonstrations that you're going to see are unlike anything we have ever demonstrated at Dreamforce before. Now, as you know, we are here to excite you. We are here to motivate you. We are here to inspire you. But mostly, we are here to do what?

Thank you.

Thank you. Thanks to each and every one of you. for what you do for us every single day. We are so grateful to you for what you do for us. We know that you have a choice in vendors, and we know that you have a choice in where you have to put your time, and to come here to this show and spend time with us, it's very meaningful to us. So, thanks for being a great customer. Thank you for coming to San Francisco, and thank you for coming to this incredible Dreamforce. Now, 20 years of these Trailblazers. It's been 20 years of these Trailblazers, 23 million Trailblazers all over the world, 90 countries, 700 community groups. I saw Steve Mo got an amazing blue blazer. Where are you? Got your golden blazer. Stand up, Steve. Here's Steve. Great job.

Woo!

Yeah. How long have you been a Trailblazer now?

I celebrated my Salesforce birthday the day that my first user ID was created in August of 2003.

Steve, we could not be more proud of you and how you have lit up the whole community, and you just guide us everywhere all over the world. Thank you for being such a great partner with Salesforce. Great job, Steve. Incredible. And Steve represents each of those 23 million Trailblazers all over the world, you know. It's going to be an amazing show with all these Trailblazers, and as I said, I think the technology that you're going to see is going to really take all you guys to another level. But listen, listen, this is the biggest and most important Dreamforce ever, and we've got all the greatest players here. We've got all the most incredible people from all Over the world. You know that Dario is going to be in the keynote in a little bit. We've got Jensen is going to be here. We've got Sam speaking here later, Tony, Rob. We have all of our friends here. Isn't that amazing? And one more thing, we have 1,600 sessions for you. One really critical point about these sessions, we expect you to go to each and every one of them. We put a lot of work into them. $1,600. Let's do that.

Okay.

Tomorrow night, how was Gwen Stefani? Was that awesome? Yeah. Well, we also have Usher coming as well. That's going to be awesome. And here's one more thing. We're going to be giving another, another incredible $10 million to the UCSF Children's Hospitals tomorrow night. You've now raised a total of $130 million through that concert every year for this hospital. Amazing what you are doing. You already know we so strongly believe that business is the greatest platform for change. You can see what we've done, about $1 billion of grants since we started the company, 11 million hours of volunteerism, 65,000 nonprofits and NGOs run on our service for free. And this is where I get to say this. If you are with a nonprofit or NGO and you are here at the conference, will you stand up and be recognized, please? Amazing. And this is the opportunity for our commercial customers to realize that nonprofits and NGOs do not have as many resources as our commercial customers. Please support them and help them. And not only are we giving back at this scale, but one more thing, we are also deeply committed to San Francisco. Now with $156 million given for our public schools, $130 million to our hospitals, we have done 1.7 million hours of volunteerism here in San Francisco and Oakland, and we support 4,000 local NGOs. We've even given $13 million to our local police force to keep all of you safe. But we believe so strongly through this kind of $300 million in all-time giving that we have to give back to the communities that have given so much to us. One more thing. We're also deeply committed to America as well. We now run 15 of the 15 cabinet agencies. 50 out of 50 states also now run on Salesforce, all built on— Our core values. Our core values of trust, the trust we have with all those Trailblazers. Their success is our highest priority. The innovation you'll see here at the show that we've been delivering day in and day out for 27 years, the equality of every Trailblazer, we so strongly believe in that, and the sustainability of our world. Creating a net-zero company, and that is why we have been influenced now as one of the most ethical companies in the world by Ethisphere seventeen times. Probably one of the most meaningful recognitions that we have received. Thank you so much, and it has delivered the largest and most trusted enterprise software company in the world. An incredible slide as we. slide into these, you know, very high ranks of these amazing companies, I guess you could say. Some people said, well, is Salesforce slowing? I said, well, actually, I don't know if you noticed, we spent 33 years in the $30 billions in revenue. We spent just 2 years now in the $40 billions in revenue, and next year we're entering into the $50 billions in revenue. Looks pretty good to me, actually, the chart. Not bad. Not a horrible chart. Thank you. And 27 years of amazing innovation inspired by all of you, especially our trailblazers. Incredible what you have been doing for us. And that innovation, it's organic, it's inorganic. And let me also say this, it's also these incredible companies in San Francisco that we've kind of become part of our ohana. And we want to welcome starting today, FINN, now part of Agentforce, the highest performing customer agent in the world. Amazing company. Anybody here from FINN? Stand up if you were FINN, would you, and be recognized. Oh, we have our FINN team right over here. Congratulations and welcome to Dreamforce. Great to see you, Owen. Fantastic. Okay. Look, it's been 10 years of pioneering AI here in the enterprise. You have all been going through this with us. It's been an amazing journey. There's no question about it. And then we've been hearing all this kind of crazy nonsense about the SaaS apocalypse, especially over the last 6 months. Hasn't it been wild? But I think that we realize that SaaS apocalypse, it's not about the end of software, but it may be about the end of software that makes humans do all the work. And I think you're going to see that, especially at the show. Yeah, it's been incredible to watch the success of Salesforce this year, the growth, the capability of our customers. In our second quarter, we just delivered $46.4 billion in revenue guidance, delivered another billion dollars in free cash flow, 14% CRPO growth. It was awesome. Our lowest customer attrition ever, our longest customer contracts ever. And it's all driven by the deep commitment that we have at Salesforce to do this, to help you connect with your customers in a whole new way. How do we do that? And now, as you start to begin to see the technology that we're about to reveal, there's this fundamental question. And the question is this. How are we unlocking this trapped value across every single App. Now, at Salesforce, we are starting to do this. It's been amazing. We already have 7,000 users on Cloudforce. So, while you're at the show, take our Salesforce employees aside and say, "Show me how you're running Salesforce." You'll see the the Slack bots that we have running and the coworkers that we have running in Lightning, and that we generated $500 million last quarter in pipeline.

Incredible.

With our new Hunter and Piper agents. We resolved 5 million service conversations with Casey on help.salesforce.com. We're being the change that we want to see with you. We believe that every company can become an agentic enterprise, and we're going to show you the best way to do it by doing it ourselves. It's been awesome for us. And as I've gone around the world, I see it in all of you. I see it in your eyes, your inspirations, your ideas. I see these companies changing and transforming in ways I could have never imagined. Now, AI has opened a door that's never been opened before. How many of you in San Francisco, while you've been here, have already jumped into a Waymo? Anybody here jump in a Waymo? Not too many. Well, you might wanna try it. It's kind of an amazing experience. It's an autonomous vehicle driven by AI. And one of the things about it is it's kind of a metaphor in many ways. I told you about my trip to Europe. Well, when I was in Europe for 2 months, I didn't see a single autonomous vehicle. That was kind of a metaphor to me. Well, we might be living in it here, or if you go to Shanghai, maybe it's AI on steroids right now. But when I went to Europe, I didn't see that same kind of transformation, that same, I kind of say, same AI global, you know, global, I would say unbalanced capability, you know, where some countries have more AI than others. You know, this is a very real thing, but it's also true in our customers too. When I go to visit all of you, and I just spent my time you know, with hundreds of you, probably what I love doing more than anything else. What I saw was a lot of unevenness when it comes to AI. So that idea is that when we start to look at what AI can do, yes, the door is opening, but not everyone has gone through it yet. In many cases, some of our customers are kind of stuck. They're kind of stuck in the old world. Maybe they're even using ChatGPT or Claude Cowork during the day at home, but when they get to their businesses and they get to their enterprises, they still don't see that enterprise transformation. Do you know what I'm saying? And I think we have to do more to help you accelerate that transformation. But one of the key parts about that is this: models alone cannot run the enterprise. Models alone are not going to show us what's going to— what's possible. Models also are very probabilistic. Do you know what that means? They're probabilistic. Like, they kind of know what's going on, but they're not grounded in a single set of truth like your traditional Salesforce apps. Oh, I have a friend back home, and they've built this amazing app on Claude Cowork. And every time he shows me the app, he goes, well, this is this amazing app. But this number, I know it's wrong every time. I know it's not exactly the right number. I said, that's because it's not grounded in your single source of truth. It's not grounded in your core dataset. And then how can you do that? The, the idea really is how can you bring that probabilistic world, the AI world, to deterministic world? The deterministic world is where all that corporate data is, where the single source of truth is. That is the question that has been on our mind, and that is the bridge that we want to cross. Because when we look at enterprise intelligence, yes, we love these probabilistic AI systems, but how do we deliver the governance and the security and the workflows and the apps and the rules and the context to all of them? How do you bring all the power of the corporate system Into the AI. And then one more thing. How do you then layer in these 4 critical layers? One, how do you deliver the data? Because we all know you've got to get your data right to get your AI right. 2, how do you take the power of the apps, which have all the intelligence of the business and all of the capability and the metadata and the semantics that's deep in the analytics layers, the semantic layer? How do we unleash a digital workforce with agents like we've been talking about here for the last several years? And how can we build a radically different interface on all of those things? These 4 layers— data, apps and semantics, agents, and interface— that is what we want to transform right now. And to make that happen, to really bring enterprise intelligence to run on our core system, We have to unify the probabilistic intelligence with that deterministic intelligence, and the interface and agents remain probabilistic. And that is great as long as they are grounded inside the deterministic data, the source of truth of data, the data layer, and the absent semantics as well, where you have spent so much time. Educating those applications on who your businesses are and how they run. So at this show, what we will do and what we're going to do over the next 30 minutes is show you those 4 layers in an incredible new way. Data 360, a layer that helps you to integrate, to federate, and harmonize all of your data. And that means connect everything in your enterprise together. To smooth it out. Okay. And then to let it drive the AI. And 2, to unleash through a new headless version of our applications, the, the fundamental application and semantic intelligence to drive that intelligence. And then let the agents and let the interface do what it's gonna do. When we get to the interface layer, I promise you this. When we get to the interface layer, I promise you this, you'll see an interface unlike anything you have ever seen before. It will transform your enterprise, and that is what is exciting. Now, people have been saying, as I've said that to them, how is that possible? How is it possible that so much could change so quickly at the interface layer? Well, for those of you who know how Salesforce operates, We operate through a metadata platform. You know, when you're working in Lightning and you're running Lightning applications and where you're building on Salesforce, you're writing in metadata. You're writing in the objects and the interfaces and the rules. You're writing in the fields and the relationships. You're writing in the permissions and the business logic and security and analytics. You're writing into the metadata, and then it gets decomposed into the database. It gets pushed down into our database. It's not fixed. I loved it when we announced headless and everybody thought we somehow had cut the head off of our apps. There was never any head on the apps. It was always in the metadata layer. It's just, it's hard to explain that to folks who are not Salesforce folks. So it's down in the metadata layer and then it's been recomposed Into Safari or Chrome. It's been recomposed into the browsers or into iOS, and now it's going to get recomposed into these AI interfaces. It gets recomposed into Cowork. It gets recomposed into Slack. It gets recomposed. Into Lightning. So that is what becomes really dramatic. It's an interface revolution. We've seen a lot of interface revolutions. We went from DOS to GUIs, and we went from GUIs to web, and we went from web to mobile. And today you're gonna see, and I bet a lot of you have not yet seen this, you're gonna see AI interfaces. That are dynamic and intelligent, that are composable and alive, and that can work with you in the fundamental administration of the applications, can work with you in building the applications, and work with you in operating the applications because the interface itself is live. Some people say the interface is living. It's really interesting. I'm gonna let you determine what you think about that interface. Now, to make all this happen, the first thing we had to do was write a layer that would empower all that. We knew we wanted the dynamism. We knew we wanted the intelligence. We knew that we wanted to deep go down into that metadata and pull it up. We knew that it had to be secure and governed. And one more thing. We knew that it had to have zero data retention. Now, 3 years ago, we were here, we talked about zero data retention. That means this. When you're working in Salesforce apps, and when you're working on our platforms, your data is your data. It does not go in the models. We've audited it, we've tested it, we've tried it. Regardless of what you've heard on media or from other vendors, let me assure you that Salesforce products are built with zero data retention, tested over and over again by our security teams. Your data is your data. You're not training any other model when you're using our products. This is extremely important, having ZDR, Built in. And then when you put it all together, when you put all those things together, you get AI Force, you get those capabilities, and you get this live interface that entraps the, the value. And then we're gonna deliver for you AI Force in many forms. If you're a Cowork user, you're gonna get Cloud Force. If you are a Slack user, you're gonna get Slack Force. If you're a Lightning user, you're going to get the new coworker, and there will be many others too. And we will also deliver an SDK so you can build your own AI Force applications as well. This is really the most exciting thing I have ever seen for Salesforce, because we have been talking about the data layer for a long time. We have been talking about the applications and semantic layer for a long time. And we have been talking about now the agentic layer for 3 years. And now for the first time, we're talking about this— a live interface on Salesforce unlocking this trapped value, finding the patterns across all your data, getting answers in seconds, not days. And now anyone can get that value. From Salesforce. That is the power of AI Force. And while you might not have seen this from other vendors yet, I assure you, you are about to see something that I'm sure that will get repeated over and over again throughout our whole industry. Just like the trailblazers have sat in this conference now for almost 3 decades, I'm confident You will see this pattern repeat everywhere else. We saw Steve Mo, we saw how incredible our Trailblazers are. They are gonna be even more incredible with AI Force. They are gonna be even more powerful to administer, develop, and operate these systems across all of these layers. It is really awesome. And you're gonna see the demo and pay attention. It's gonna be really incredible. Now we've talked about the vision of lighting up the data, making sure, excuse me, making sure your data is ready for you. And 2, making sure all of our apps, which were always built this way, always built with metadata first so that this moment would be A moment they could take advantage of are also ready for you. And 3, the agentic layer as well, so that it can really deliver that value. Now, I know many of you are already starting to use these incredible agents. How many of you have been on salesforce.com or informatica.com or already using Piper, by the way, this qualification agent? Quite a few hands. It is amazing. You know, you're talking to Piper. We're gonna demo it in a second. You know, it's helping to qualify your prospects and your customers. Hunter, Hunter went out and generated $500 million of pipeline for me last quarter. It was kind of amazing what, what Hunter did. Casey, Casey answered 5 million customer service issues for me, uh, so far since I launched it about 18 months ago. And Paige is doing our ITSM work and HR capabilities. And Marshall is doing this incredible work as well in the supply chain. And now we have Finn, which is the number one customer service agent. We're even using that on help.salesforce.com already. It's incredible what Finn is. And we got that running, I think, in about 12 days at Salesforce. It's an incredible capability that you can go super fast with. That idea that you have those 3 layers, data, apps and semantics, and agents, and then add the interface on top. Adding the interface on top means that everything is gonna change. So one of the things I noticed when I was with all the customers for the last 2 months, and it was pretty incredible being there with everybody, but the applications kind of looked mostly the same that they've looked like for the last few years. And I would say to the CEOs and CIOs and CDOs of these companies, do you feel like you've gone through an enterprise transformation? Well, we've got this pilot going, or we tried this, or we did that. I think when you put this interface on, everyone will see that their systems have now changed. Incredible. Okay, so let's take a look at Cloudforce. This is Salesforce and Claude. It's the number one AI meets the number one CRM. It is that live interface built around you. If you are a cowork user, you are going to love this platform. We use it at Salesforce. We use it aggressively. We turned it over to our operating unit leaders several months ago. They have been running their businesses. When we were doing the focus group for this room, I was sitting next to Miguel Milano, our new chief operating officer. Miguel, are you in the room?

Where?

Stand up. Here's Miguel Milano, our new COO. Congratulations, Miguel. I was sitting next to Miguel, and he was using Cloudforce to run Salesforce. It was incredible, and he was also using Slack at the same time. It was hard to believe. Now, for, for those of you who use Slack, how many Slack users do we have here? Raise your hands. Oh, quite a few. Oh, I'm surprised. Well, Slack is where AI works. It's pretty awesome. I mean, we bought this company 6 years ago. We have invested a ton in this company, transformed it. It's done amazing. It's become our very fastest growing product. So many AI companies here in the Valley, like within a mile or 2 of this building, all run on Slack. It's awesome. But one of the things though about Slack now that you have is Slackforce. So, that same user interface that is running from AI Force in Cloudforce is also now running in Slack, and you're gonna see that at the show. And for those of you who are coders, or who are using coding agents in your businesses, did you know now you can code inside Slack? You know, coding has traditionally been, been a single-player sport. It's a single-player sport, but now it becomes a multiplayer sport, And you can write, review, and ship code together with agents, and all of Salesforce is available inside Slack with Slack CRM. So you can use Slack to run Salesforce. And many of our customers are already using Slackbot, millions every single week, where they're reading across their DMs, they're reading across their channels, they're reading across the whole dataset, and letting Slackbot provide the AI for the enterprise. That is why Slack has become Salesforce's fastest growing product. Okay, and there's one more piece of this. For those of you who are on Lightning, anybody here use Lightning by any chance? Okay, we have a few Lightning users out there. Now, Agentforce Coworker is running inside Lightning as well. So now you can have that same live interface in Lightning. So if you use Cowork, You've got it. If you have Slack, you've got it. If you've got Lightning, you've got it. And I bet by the time we get back here a year from now, we'll have dozens of live interfaces running on Salesforce. We've transformed our architecture. Look at this. You can see that core data layer with Informatica and MuleSoft. You can see it with Tableau and, and how it's working to deliver that core system. And then you can see the application layer. And all the different applications are now headless and providing that API and that capability and the agentic layer as well. And all the agents that you need to run your business or build your own agents with Agent Force also. All of these incredible pieces helping to create and empower those trailblazers that are so important to us. We want to make sure the Trailblazers are successful. They've built 12.8 million custom enterprise apps. They've done countless Apex calls and API calls. They've built these incredible systems. It's been awesome what the Trailblazers have done, and this is going to elevate them to an incredible new place. And we're delivering new versions of Salesforce, including our new AI Force Max edition, Which bundles all of this together so you can have one core product that you can acquire that delivers all of this functionality to you. One product, AI Force Max, with all of our functionality built together. So there is no concern— do you not have everything you need to be totally successful right now? So please welcome to give this incredible demonstration our new president, of Applications and Marketing, Patrick Stokes.

All right, all right, thank you, Marc. Good morning, Dreamforce. It's awesome to be back with all of you. I love doing this every year. I hope I get to keep doing it. We'll see here in a moment. So listen, 6 months ago, we held an event. It was actually right across the street to launch Slackbot. And at that event, our co-founder, Parker Harris— you all know Parker. He's sitting right over here. There he is. He looked right into the camera, and he said something a little weird. You want to know what he said? I've got the clip. Let's actually just watch the clip.

We are basically saying, why should I ever log into Salesforce? I built the Lightning UI.

I worked really hard on it. Why should you ever log into Salesforce again? Maybe you never will.

Woo!

Crazy thing to hear, right? Crazy. You know, if you're any other software company, that would be a terrifying thing to say, because other software companies, they think their product is the UI. But that's not what we think at Salesforce. At Salesforce, our product is the trust that all of you, our customers, put in us to hold your data, to hold your workflows, your business processes, your permissions, your security rules. That is the Salesforce product. And we asked ourselves, what would it look like if we could plug that product into a new interface, to an entirely new interface, an agentic interface? And that's exactly what we set out to do with our friends from Anthropic. Now, here I am inside of Claude Cowork, and I'm about to show you My interface. Everything you are about to see is something that I asked Claude to do for me. And before I show it to you, I'm gonna give you one last warning, which is, despite what Parker just said, you are gonna see just a tiny little bit of lightning in here. Just bear with me, okay? Here we go.

Hello, Patrick.

Here are your deal signals for today.

Okay, buddy, this just in. The quarter sits $8.2 million short of your $285 million target with 3 weeks left to run. Northstar needs your attention. $4.8 million, 10 days past close, and a blocked security review. Those are your signals, pal.

Your command center has the answers.

Trailblazers, welcome to Dreamforce.

Digital Parker, out.

All right.

Thank you, Parker. Appreciate the insight. So, look, this is my Salesforce. Like I said, everything that you see here is something that I specifically asked for, and Claude helped me bring it together. I can see, if I expand this, I can see my pipeline coming in from around the world, everywhere I've got a new opportunity opening up. I can see all of my service data coming in, all where my cases are landing around the world, so I can see where my hotspots are. I can even see all of my marketing data, people interacting with all of my different websites, interacting with Piper on my website, signing up for new campaigns, interacting with campaigns, all in this live interface. But this is more than just an interface to look at data. Remember, we're combining this with AI, in this case Parker, who's got a lot of insights, right? And Parker reminded me right when we started there that I have a problem with North Star Communities. And he said, you should probably take a peek at that. Now, I know North Star happens to be based in San Francisco, so I can Click into San Francisco here to drill into the pipeline that I have. I've got 2 accounts that have opportunities. I'm going to click into my North Star account here, and there it is. There is that security review that is blocked, and it's actually kind of bad. We've got $4.8 million in open pipeline that is not going to close unless we get this thing moving. Now, I wanted a way to let my team know that this is unacceptable. And I did that in the most Patrick way that I could think of, which is I asked Claude to code in a sad trombone. And that actually sends a real activity over to Salesforce. So that logs in this account record so my team knows that I'm pissed off. If I wasn't pissed off, I could do something that I've always wanted to do, which is blow an air horn on the Salesforce stage. I can do this as many times as I want. Nobody can stop me. Okay, but to get real for a second, what do I actually wanna do? What I wanna do is I wanna send a Slack message over to my team. I need to get them rocking and rolling on this opportunity. So we're gonna click into this Slack interface, and I said, hey, give me a way to have Claude generate, but let me be able to rewrite the, the message if I want to. So I can do that right here. We can say, hey Dreamforce, it helps if you spell it right, although it actually doesn't really matter. God, it's hard typing on stage. There we go, and then all I have to do is post this over to Slack, and if I get over there fast enough, there it was, you saw it just pop up. 10:46, there is our message right over to Slack, getting our team rocking and rolling. Okay, now I bet you're probably wondering how this all actually works, and let me tell you. It all starts right over here. If we go into— excuse me— Plugins, you'll see we've got this brand new plugin, Salesforce for Claude. Now, this plugin solves all of the hard problems. Who's heard of MCP servers here? Who knows what MCP servers are and how to use them? A lot of hands are going to go down, right? They're hard. This is a new technology. Who knows how to enable zero data retention, right? Not many people. Who's written skills for Claude? Probably a few more of you, right? This is hard stuff. And we sat down with our friends at Anthropic and said, what if we could put all of that together into one package, one plugin that if you have Claude Enterprise, you can just go in, turn it on, and pick the users that you want to give access to. So that is exactly what we did. But what about that UI? How did I create that UI? Some PM didn't create that for me somewhere. That is a UI That I personally created for myself by just asking. And I'll show you that conversation right here. Here is the complete conversation. You can see where I started. You get up and running on these interfaces— I'm not kidding— in like 6 to 8 minutes. And then you have a few days' worth of back and forth as you iterate and you add all of the silly features like I did with sad trombones and that awesome 3D Parker that you saw. that you saw. All of that— look at that— literally create an avatar of Parker Harris in his lightning suit. Now, I had to give it some things, but that is how we do it. Now, the last question I want to answer for you is, how on earth do you get this thing, right? Well, we can show you. Now, Marc mentioned the pricing and packaging earlier, but this is Dreamforce, baby. We don't want you to worry about pricing and packaging. What we want you to do is go get your hands on this thing. So, for the time being, Everything that you just saw is in open beta. Any one of you can go. You jump over to the AppExchange. I'll show it to you right here, right again, inside of Claude. Look for this plugin within the AppExchange, fill out the form, give us your org ID, and we will turn you on today. If you are not here with us at Dreamforce, of course, we've got a Trailhead. I blew right through the applause, but that's okay. You'll do it afterwards. And if you are here with us, at Dreamforce, I beg you, get over to Moscone West. It's across the street. We have AI Learning Labs. You will get in there. There is an ocean of laptops with Claude 4 set up. You can learn how to build your own command center and walk out of here with your org turned on. So that is AI Force.

All right.

Thank you. So now we have something incredibly special. And to do that, I'm going to reintroduce Mr. Marc Benioff.

Marc.

All right. Great job, Pat. How about a hand for Patrick? Who's excited about that interface? That is just the beginning of the interface that you're going to see. I think AI Force remains the most exciting thing we have ever done at Salesforce. And to see this first version of it running on Cowork and Claude, which is amazing. I don't know if you saw the COVID of Time Magazine today, but Cowork is also on the COVID of Time Magazine. And here we have the CEO of Anthropic right here, Dario. Hello, Dario. How are you?

Hey.

Great to have you. Fantastic. Great job, Dario. You're doing an amazing job leading the AI industry, guiding it all right from our Slack headquarters building. We watch you every day. We're learning it from you. It's all good karma, isn't it? And we're watching you doing an incredible job. You've become the number one AI in the world, 3 times larger than the nearest provider. It's been amazing to be partnered with you. It's all been very karmic and kismet and good. And one of the things I have to ask you before we get into the interview, I want to talk to you about AI Force. I want to talk to you about CloudForce. I want to talk to you about how you're running your own business. But wow, you wrote, you know, you I mean, everything from your first essay that you wrote, you know, about loving grace to the essay this weekend on pacing has been incredible. But give us your state of the AI industry and pacing and where your mind is right now.

Yeah, I think it's maybe easiest to explain it by an analogy. So let's say you're running a car company and another car company, not yours, they have some kind of safety incident, right? Something goes wrong with the brakes, you know, something with the manufacturing. Now, you believe you have the best safety record in the industry. What do you do? How do you approach it? Obviously, it's very tempting to attack your competitor and say, these guys are unsafe, we're safe. But I think the more responsible way to respond to it is to say, hey, first of all, let's look, let's look at our own record, right? We may not have had this big high-profile incident, but I'm sure we're not perfect. Let's look at everything and we can always be better. Let's make our practices better. Let's recommit to transparency. Let's invest more in safety. Then let's organize the rest of the industry and say, what can we do to set standards for everyone? What can we do to make everyone's standards better? And then finally, there should be an international component to it. And that's essentially the 3-step plan that I laid out in the essay, the first of which we committed to, and the others of which—

Thank you.

we're going to have a dialogue with the rest of the industry about. And I think, I think that's the way to lead the industry forward, to set an example, to say that everyone can always do better.

Can I have a bottle of water? Let me ask you a question, Dario. You know, it's been amazing what you have been able to accomplish, like I said, but there are a lot of surprises also that you have gone through. So, you know, just tell us, what has been your biggest surprise over the last decade? And, you know, you've obviously been heads down in AI now for 10 years, really in earnest. What's your biggest shock about where we are right now?

You know, it's, it's been the pace of the progress, not just of the technology, but of the economic side of it. So we, you know, I formulated the scaling laws along with some of my co-founders, which tell you that AI models get smarter and smarter the more compute you throw into them. And so we had a prediction of just how capable these models would be. But I think what we didn't appreciate is that it would lead to these companies growing so fast, to all these incredible, you know, products that we're working together on and you've been talking about today and how quickly they would become central to everything that's going on in the world.

Right.

I just watched the talks before that where, you know, you guys talked about MCP and Cowork and Claude Skills and these are all new things that people are just beginning to use, but they're being adopted so quickly because the economic value is so, is so great. So I've just been surprised that such a pace is possible in the business world.

Well, I'll tell you, at Salesforce, we are huge Cowork fans. And also, when I was in Europe, I met with so many customers who are Cowork fans. It's incredible what you've done with the product. I'm noticing over your shoulder here, you've got a few Salesforce alumni behind you. who are helping you to run your company, which they're doing. You train them well, Marc. You train them well. Trying to do my best to help the whole industry, you know. I measure myself by how many CEOs, COOs, and CROs are in other companies that all came from Salesforce.

You do a fantastic job of that. No, truly, truly you do.

Thank you. But what I want to say is this. I want to I would say, you know, yes, we have to keep our eye on the pace of AI. You know, it's been amazing what's happened over 10 years. No one could have written the story. Now these interfaces are truly amazing. The demo we just saw is remarkable. I think every customer here wants to have that same interface on all of their systems. Everybody wants to unlock the trapped value. You know, what's— what is your kind of recommendation for everyone In this room and the virtual room, obviously you can see we have 10,000 people all over this room, but 10 million joining us online. You know, what actions do you want us to take?

Yeah, so, you know, I would, I would just say when I look at the technology versus how much it has diffused, even if we freeze the technology in place, which we're not doing— Pacing the Frontier is not, not doing that at all. The technology will keep getting better. But just suppose we and freeze it in place. Even if that were the case, we're making use of maybe only 5 or 10% of what the possible value of the technology is. So I'll give you just an example that relates to what we're doing together and to the CCO you just pointed at, which is that Paul, you know, every day now he wakes up and if he wants to look at, you know, our head go-to-market prospects, He still uses Salesforce, but he uses Salesforce with Claude. He talks to Claude using Salesforce's data about, you know, what are the, what are the 10 biggest deals we're doing this week? What are the 10 deals we're most likely to lose? What are the themes in those deals? How do we win those deals? You know, just, just making use of all the information fluently with Claude. And, and it's, it's really incredible. And, and the fraction of people who have seen this and seen that this is possible is still small compared to those who could gain utility from it. And so there is still so much diffusion left to do.

Well, we are really excited to wake everybody up at the show to show people what the possibilities are for the future, how we're going to show them that data layer, which, as you know, I think is really critical, that having that grounding of the data— we've talked about that so many times— the application and semantic layer, giving it the AI even more intelligence capability, the agentic layer that You really have helped pioneer, and now this incredible interface layer, and we're so excited that the first one is on Cowork. Congratulations. Well done. We're going to do incredible things together. Great job, Dario. You're doing a great job. Thanks for everything you're doing for the whole industry. We're so grateful to you. Thank you for having me. Really thrilled. Thank you so much.

All right.

And thank you for coming to Dreamforce. Please thank the Anthropic team. Please welcome back from that brief intermission, Patrick Stokes. Give him a hand.

All right. Me again, just for a minute. OK, so I think you can see how special this is. And what I really want is for you all to go out and feel it. You know, Dario was right. When you start using Salesforce with an agentic interface, the amount of value that you get from Salesforce just explodes. It's an incredible experience. Okay, so we've talked about AI Force. It's time to talk for a few minutes about Agent Force. You know, Agent Force has been this incredible platform for us. I think I was the one launching it maybe 2 or 3 years ago. I've lost track of time, right up on this stage. And then in that time, we have over 30,000 customers on this platform. We're doing $7 billion AWUs. We've been adding more and more to it, like AgentScript and Voice, which are GA now. But, you know, we've kind of learned something as we've started putting this out. This is built as a platform, so any of you can come and build your own agents. But what we learned is that building agents, it's actually kind of tricky. Building with a probabilistic system is a new muscle, is a new skill that we all have to learn. And so we wanted to solve for that. So this year we have been hard at work building out-of-the-box agents that sit on top of Agentforce that anyone in the organization can go and implement and deploy. Anyone, not just IT, but your business users as well. And that starts with agents like Hunter. Marcus talked about this a little bit, your outbound sales agent out there responding to your leads, hunting them down, and trying to turn it into real pipeline. Or Piper, which you're going to see in just a moment, which sits on your website responding to questions that all of your customers might have. And then, of course, we have Casey when you need to get help. You can go see Casey right now on help.salesforce.com. You can deploy this on your own website so that your customers can get help. But your customers aren't the only ones who sometimes need help. Sometimes your employees need a little bit of help as well. And we have Paige for IT service and HR service. So if you're So, laptop breaks, you know exactly where to go. And as Mark pointed out, we're incredibly excited about our all-new customer agent, Finn, which is just an incredible agent. I hope you get down to the campground to see Finn. And now, to bring Agent Force and all of these agents to life, I'm incredibly excited to her first Dreamforce mainstage appearance. I think you're going to like her. Please welcome Katie O'Neill. Thank you, Mark.

Thank you, Patrick. Siemens is a global leader in industrial AI. Their technology powers buildings and factories and transportation around the world. Over the last decade, Salesforce has really become an integral part of how they run their business. And today, they're driving success with Agentforce, a family of agents working together across the business. And we're going to show you these agents in action. So let's dive into a demo. We're going to start here on the Siemens website. Now, Siemens, they rely on a global ecosystem of partners to bring their technology to their customers. But when one of those prospective partners arrives on the website, they could be left searching through pages, filling out static forms, and ultimately waiting for someone to get back to them. That is potential revenue slipping through the cracks. But Piper changes all that. Piper is Siemens inbound pipeline generation agent. You can think about her like their newest employee on a single mission, converting inbound buyers into quality pipeline. Piper, she is always on. She is super easy to implement. Every customer goes live in 45 days or less, and she is working 24/7. So let's jump in. Let's engage with Piper. Hi, Piper.

Welcome back.

How can I help you today? Hi, thanks, Piper. I got an email from Siemens about becoming a distribution partner. Can you tell me a little bit more about the program?

Absolutely. Based on what I know about your business, I think there could be a strong fit with Siemens Industrial Automation Distribution Partner Program.

I pulled together a quick overview based on what's most relevant to your business.

How incredible is that? Piper knows who I am because I clicked through an email. She's grounded in the context of Siemens Salesforce, so she knows everything about my role and my company. Combine that with all of her knowledge of Siemens messaging and positioning, and Piper just spun up a super personalized presentation just for me in seconds on the website. This is the dream. You have a hot buyer, and Piper is ushering them along in their journey. Now, this has piqued my interest, and I do want to take it one step further. Thanks, Piper. What would the commercial model look like for a distributor of our size? Great question about the commercial model. It's definitely worth exploring in more detail. Let's get you in touch with a Siemens representative who can walk you through it. Go ahead and pick a time that works for you.

Feel free to pick a time that works best for you.

Okay, so Piper knows that a question around commercials signals buyer intent. Combine that with my account context, Piper knows that right now is the time to bring in a seller. So she looked inside of Salesforce, saw that Ryan Smith is my aligned account executive, and in just a few clicks, I can book that time.

Boom!

Pipeline was just created. No forms, no waiting. Piper just generated quality pipeline for the Siemens business. That was totally incredible. Now, that's one area of the business. where agents are going to work. Let's expand Siemens' digital workforce. Let's talk about another agent, an entirely different area of the business, supply chain. For Siemens, something like supplier onboarding, it is a process that can take days. A single disruption, it can cause a huge domino effect that creates production delays, and it can cost the company millions. But that's what we're solving with Marshall, our operations agent. Marshall is gonna take that entire onboarding period from days and bring it down to just hours, and here's how. All we have to do is give Marshall the name of a supplier, and he's gonna go to work in the backend. We're here in Slack, but Agent Force meets you where work already happens. So if you work out of email or Microsoft Teams, Marshall will come find you in those channels. Now you're watching Marshall go to work, he's doing things like collecting information, he's reviewing documents, He's even going to pull in a person when something needs human review. Now, here you're watching, he's getting through the majority of it. But if you'll notice, there's one area where he's getting stuck, and that's actually creating the supplier inside SAP. And in fact, this is where a majority of AI projects hit a wall, which is actually getting your agents to work inside of backend systems. So today, we are so excited to announce new capabilities with Marshall that is going to do exactly that, and let's show you. Now, as Marshall jumps in these backend systems, the first thing he has to do is he has to learn. He has to learn this process of supplier onboarding. It is not a trivial process. So we'll give him access to an SAP sandbox. You can think about a sandbox like a classroom. It's a safe learning environment where Marshall can go through and safely learn this process without touching production. You're watching him do things like learn where to click, which fields are required. But he's not just memorizing those things. He's using LLM reasoning to really understand the business rules behind that process. So here, for example, Marshall will learn that a US supplier actually needs an additional form before they can continue onboarding. Now, this whole process of learning, this is what would take a new employee weeks to learn. But Marshall, He just learned it in 90 minutes. And what does he do with all these learnings? Marshall will package them up, create a library of trusted actions, and that is where AI reasoning becomes deterministic execution. What does that mean? It means when it comes time for something like supplier onboarding, Marshall's not just improvising. Marshall's executing against the same set of trusted actions every single time, so you know You can rely on him. Okay, so we just watched Marshall learn this entire process of supplier onboarding. Let's put him to the test. Let's see him go to work. Now, in this next part of the demo, I do want to direct our attention over to Gus, our demo driver. Gus, give everyone in the audience a quick wave for me. But actually, Gus, wave with both hands, because look at this. Gus is actually completely hands-free in this demo. Gus is enjoying his cup of coffee while Marshall—

I'm doing the work.

goes to work. Look at this, this is incredible. Marshall is in SAP, Marshall is updating every single field completely autonomously. This is incredible. This is where agents are at their best, repeatable work that has to be done right every single time. Now, back over in Slack, all your employees are going to see is that this supplier has now just been created, has been onboarded, and is activated. And if something inside SAP changes, no problem. Marshall will go back into that classroom. He's going to relearn and adapt. And that is trusted process automation. That is how Siemens is putting agents to work across their business. That's how they're using Marshall to take supplier onboarding from days down to just hours. That is how they're using Piper to generate quality, Pipeline. This is Agentforce. This is your digital workforce. We're here at Dreamforce. We are so excited for you to get hands-on. We want you to walk away with your own family of agents. So, come find us in the Learning Labs. And for now, Marc, I will pass it back over to you.

All right. How about a huge hand for Katie? Great job, Katie. Well done. Great demo. Well done. Fantastic. Amazing. Katie came from our Qualified Acquisitions. Qualified team stand up and take a hand. Qualified team Piper, amazing what you have done. Built Piper. Great job. Great, great job. Okay. My friend has come from Munich, Germany. I was just with him. Welcome, Roland. Fantastic. Great. Nice to have somebody my size here.

Yeah.

Yeah. People don't know my family's from Baden-Baden and Bavaria. So, you know, we have a lot of fun together. We've known each other for a long time. We're so grateful to have you as part of a Salesforce Ohana and your first Dreamforce. Isn't that right? Amazing.

It is.

What's your initial experience at Dreamforce so far?

I love it.

You throw a great party.

Thank you.

Great people. And Katie, thank you very much. Great job. And I'm so happy to learn that you share talent.

Great. Well, we're just starting. We're just starting.

Just kidding.

We're just starting now. Okay, Roland, give us your vision, 'cause you understand, you know, these deterministic layers, but also these probabilistic layers, how AI works in the enterprise. You're building products yourself. Siemens is an incredible company. You know, you built some of the best, most exciting technology across every industry, whether it's industrial or even healthcare or energy. It's amazing. I think, you know, all of us at some time of our life found ourselves in a Siemens CT scan or seeing how you— huge energy plant that you have built. It's amazing what your company does. So give us your vision, you know, of how you see this technology impacting Siemens.

Well, I mean, you said it. We are building the real stuff. Every 3rd manufacturing line in the world is automated. is Siemens technology, where every other electron is touched by Siemens technology or controlled by it and so on. So in short, what we do is we combine the real and the digital world in the age of AI. So we build the real thing. This is the hardware part. But we also build digital twins of the real world which behave really like the real thing. So combining that is the huge potential and AI is accelerating. So we talk about industrial AI and you phrased it perfectly. This is bringing a probabilistic technology into a deterministic world. Hallucination does not really work on the shop floor, as you can imagine. So, and that's the exciting part about the journey which we started. I mean, you know that Salesforce is the backbone for how we serve our customers in selling, in maintenance service and the like, and onboarding of— I mean, we have 120,000 suppliers, 6 65,000 partners and we count. So that's huge. But we don't stop there. So you are the single source of truth for customer, the enterprise AI. With our technology, with Teamcenter, this is the backbone for products, the products, the parts in it, instructions for manufacturing, for service, the single source of truth of the product. Now we bring that together So the enterprise AI meets industrial AI, and that helps really our sales guys, our service guys to serve our customers much, much faster and better. We basically, we give a virtual engineer next to each sales rep or service rep. And that's just the start. I mean, Dario said it, even if the models would not change from now on, I mean, they didn't see most of the industrial data yet. And this is really where the real world kicks in. And it makes a big difference.

Yeah, that, that is a key point. Now I want to ask you, to that point, you and I have talked for years and years because you helped us build this amazing children's hospital, which is a few blocks away from here. So one of the things we've always thought about is the CT scanner is going to be not just kind of, you know, it's going to be, I would say, more intelligent, more of a diagnostic device. It hasn't exactly happened, right? Radiologists are still in the loop. Even though Geoffrey Hinton said in 1995, we're not going to have any more radiologists, we have more radiologists today than ever. Tell us, how is AI and, and that world coming together? I know you've thought about this exhaustively.

Yeah. So the thing about AI is you come from a world where you just have a copilot somehow helping you in really embedding AI technology really deeply in your workflow. You have to rethink the way how you design products, how you produce them, and how you operate them deeply. It changes user interface. I mean, you said it perfectly. It changed everything and the whole process behind. The big thing in that particular case is data fusion because currently, I mean, it's, we're already there to analyze CT/MR scanners with an AI agent to really help the doctor. The doctor is obviously finally in the loop. But if you fuse data from your blood diagnostics, from your scans, even the medication you get, this makes the way how you treat people or how you actually act before a disease strikes, bringing it completely to the next level. By the way, eating habits does its own.

I want to ask you one critical question is this. Roland, when you think about your vision for your company or for all your companies, you have such a portfolio of companies. Over the next year, call it, what's the biggest change you think that your customers will begin to see?

They will see that a new superpower, which is a general-purpose technology, will change everything what we do, the way how we design products, the way how we manufacture, and the way how we use them. And that happens, Dario said it, in an exponential way.

It's great to have you at Dreamforce. Roland Busch, welcome. So glad to have you. Please welcome him. Thank you so much. Great job. Okay, Marianne, take it away.

Thank you, Marc. We are all here at Dreamforce to answer one big question. Will AI actually work for my business? You know what is at stake. Mistake, a lost customer, a missed quarter, your reputation. You know, generic AI is basically like an amazing race car with absolutely no wheels. But the Customer 360, well, that is the wheels and the steering wheel.

Why?

Because of all of you. You have, for the last 27 years, put all of your business logic, your data, your processes right inside of Salesforce. And the Customer 360 brings all of that alive. And then what we did, we took that amazing foundation that you built and we built on top of it. Our product team has been working so incredibly hard innovating every single cloud. We've completely re-energized every single business and we've put agents and AI at the heart of it. Now, I know that we have 1,600 sessions, but I have 9 super favorite features that I want to walk you through. So are you ready?

All righty.

Let us start with sales. What's the absolute best thing about Sales Cloud? Well, it is Hunter, of course. And sorry, Patrick, but the best part of Hunter is not just that it's all new and it is an outbound sales agent, it's that it is built with your data vendors included. What does that mean? Yes, ZoomInfo, Demandbase, Apollo. Your data vendors are built right in. That is amazing. This agent has everything. But I'm now on Service Cloud, and my family, well, we are kicking butt because CCaaS is going live in October. Now, this person is looking at me wondering why we're putting cats in the ocean. Customer— sorry, Contact Center as a Service is important because it's your contact center. It is your telephony. It is your CRM as one system. Every single person needs this.

Why?

Because you don't want to think about technology. You want to be focused on your customers. I think I hear angels singing, no more tool stitching ever again. And what about marketing? Well, marketing is crushing it, and their all-new campaign agent, it actually builds and iterates campaigns By itself. Now, how many marketers love manually building 500 campaigns in the middle of the night before Dreamforce?

Yay!

No one. So I am sorry, the midnight snack business is now officially closed. Marketing Cloud is really taking us to the agentic future. And the new Commerce Cloud? Well, it has a shopper agent, which frankly is way too good. I had one conversation, And then I ended up with 10 outfits for this keynote because it looked at the shipping information, the inventory. It even made me backups for what I was going to buy. So I said yes to the dress and then to the suit and then to another dress. Thank you, Commerce Cloud. And if anybody here has people who are fixing things, physical things out in the field, well, you know that Field Service is where it's at. And the best thing about Field Service is voice-to-text. Now, who loves taking off their gloves, using greasy fingers, touching a phone while you are doing the job? Well, with voice-to-text, you have no hands that you need to use. You can do more paperwork without your hands. You just speak and the form literally fills itself. That is amazing. Okay, now hold up. We just launched IT and HR service last year here at Dreamforce. I happen to run this business, so I'm not allowed to pick favorite children. But if I was, my favorite child would be our brand-new CMDB.

Why?

Every single IT organization knows that the CMDB, it is the brains of your organization. It's how you map your asset. And ours, well, it even updates itself. You're welcome. And— with Revenue Cloud. What's Revenue Cloud? Well, of course, it's quote to cash, and the all-new Renewals Agent, I absolutely love that it automatically figures out what accounts you need to go reach out to, and it even does the upsell. That is amazing. Anyone found their favorites yet? Keep watching, because now we have Tableau. Tableau gives you a semantic understanding of your entire business that's live, for your teams and your agents. And what is even better than that? Well, proactive intelligence is better than that. Who wants to know the story without even having to ask for it? Thank you, please. And then there's industries. Every single one of us, we run our business inside of an industry. There are regulations that maybe aren't just ours, but our regulators. The industries team is amazing. They have packed all of that into industries, so that know-how is built into Salesforce. You can do what you want and make sure it is compliant every single time. And I'm going to steal this phrase from Miguel, but we have an embarrassment of riches. There are over 500 agents and actions built right in every single industry, every single sector. So if you were wondering, dive right in today. You just saw the amazing reimagined Customer 360. It is on fire. This is amazing. So, as you can tell, I'm a little obsessed with product. But what I love more than product is I love the people I get to work with. So, Rohan, can you stand up? Rohan just joined us. He is our new President of Platform and Engineering. This is his first Dreamforce, everyone. Hi, everyone.

Thank you, Mary Ann.

Can you tell us what you're working on? I've heard you have an amazing announcement for us.

Oh my God, it's, it's amazing. You know, it's for the last 3 months, you know, I've traveled around the world, you know, met a lot of customers. And one consistent piece of feedback that I've heard from everyone is that they want a choice for AI. They essentially want to pick the AI model which is best in terms of price performance. for the outcome that they are seeking.

That's awesome.

And given that feedback, I'm so excited. Are you guys excited to introduce Coa, Salesforce's first CRM reasoning model for Customer 360? You know, it's interesting. You just step back and think about 27 years of product innovation in CRM, deep understanding of the customer scenarios, and almost a decade plus of AI and data research. All that learning and all that value has gone into Coa. You know, Coa is designed to support long-running agents that execute multiple tasks and complete complex outcomes. So think about a sales agent that's trying to figure out the next best step to take to actually pursue a complicated but a very valuable sales opportunity. Coa can help with that. Think about a service agent that's actually figuring out the next best step to take to handle a complicated customer case, a customer support case, to get the customer to the right place. Coa can help with that. You know, as a part of designing Coa, our commitment to customer trust has always been maintained. It's something that's extremely important to Salesforce. Coa has always been trained just on synthetic data. built, and extending Nimetron from NVIDIA, another phenomenal company, right? And the reason that's important is because our commitment to customer trust has been carried forward. Not a single byte of customer data was used. We can't wait to see what you build with it. And to talk about where we are going with this incredible partnership, let me hand it over to Mark.

All right, great job. Please welcome Rohan Kumar. We're so excited to have you, Rohan, as our New president of engineering and platform, but we are especially welcome. Please welcome Jensen Huang, the CEO of Nvidia, is here. Jensen, woohoo! Great to have you, Jensen. Thank you for being here.

We all have to learn how to walk and talk at the same time. How are you guys doing this?

Jensen, we can do that. Do you want to?

Yeah, let's walk.

Here, come on. Let's walk and talk. I'll do. I'm going to do the training myself, Jensen. I have a little. This is a That's an exciting thing to be able to—

Complete sentence.

You have to take a left now. All right.

All right.

So Jensen, congratulations on everything that you are doing for the whole industry. The GPU, it's a huge success. It's transformed everything. You're sitting next to David Kirk on our board, who I think was at NVIDIA for a while as well.

That's right. Love David Kirk.

And now give us your vision of the future. You know, So where are we going? Because of course you've got these critical components, you've got the GPU, and now you've got the number one open source platform in the world that companies like ours can fine-tune. You know, how do you think this can go ahead? Look, we can go this right here, do this.

Well, you had to stop so you could think. I could, I could do this all day. And yeah, and so, so, um, uh, first of all, as you know, we're going through a new industrial revolution just as A few hundred years ago.

Yeah, we could even go right down this aisle. Everyone will be thrilled.

With electricity, we could power everything. With the internet, we can find—

Now you have to look into that camera while you're talking. That's the only thing.

With internet, you can find anything.

Yeah.

And now with artificial intelligence as an infrastructure layer across the planet, we can know everything and do anything. And so this, this layer, this layer is You want to go this way?

Sure. See, now you got it.

You got it. This is good.

Training has come to a complete.

This is fantastic. This is good. This is good. Yeah. And so now that's the first part. Now, the work that we do together, what we see is that every company, every enterprise, every country would become an AI company. Everybody would be. You're an AI company. I'm an AI company. We're going to have— it's going to be an agentic enterprise. And so what we did was we said, listen, we took the GPU and we evolved it into these giant systems that are now essentially full-stack AI factories. And so just follow me.

You've got this now. You've got this, Jensen. We're all following you, bro.

We got this. I got this. And so listen, so what happens is we evolved our company from a GPU company to a full-stack AI infrastructure company. We built out these giant systems that are essentially AI factories that turn electricity, that turns the data that are stored in all the enterprises, and we turn it into intelligence. And I was just amazed at the way you were doing it. I was kind of— did you read that? I don't think so. You guys were just doing it. So anyways, anyways, so what we did was we created this full-stack AI factory, and then on top of it, we said, listen, how can we turn every single enterprise into an agentic enterprise? And so we did several things. The first thing that we did was we created the frontier AI models. Nimotron is for language, but we also lead 5 other frontiers. Now you guys are going to make me nervous. And so we have Nimbletron.

You can also pause and just stop. You can pace, pause, go forward, whatever you want to do.

We're going to cover everybody.

Is that a metaphor for the AI industry, do you think?

We can go anywhere.

Oh, okay. Here we go.

And so the first thing is Nimbletron is a language model. Kosmos is a world foundation model. It's at the frontier. It is the frontier. Alpamayo for navigation systems, autonomous vehicles, for example. We have Bionemo with a Proteina complexa at the frontier of protein models. Incredible. And then, of course, Groot, our human robotics models. And so we're at the frontier of these models, all completely open. That's the first thing that we did. The second thing we did was create an agentic harness system. It's completely open. You could put your model inside of it, create amazing harnesses around it and the runtimes that do it. And then the third thing, super important, is this thing called Open Shell. It is the world's first secure sandbox, but also secure runtime, and so that you could deploy these agents at scale across enterprises safely. And so these are the things that we did, and now we can turn every single enterprise, every single company into an AI company. And of course, we believe we see a future where the world uses closed models, but every company would also be able to build their own private models, your own customized models, which is the work that we're doing with you guys. Salesforce is gonna be an AI company.

Jensen, we have been seeing an incredible debate for the last day on pacing and safety and the future of these models. You've had some time to think about what everybody is saying and kind of bring it all down to us and explain, you know, how do you see that?

Well, safety is paramount. In a lot of ways, it's job one. However, safety is an engineering problem. We're developing software after all. We're developing computing systems after all. It's a complicated computing system, but it's ultimately a computing system. And so, so the first thing is to make sure that we create the test environments for testing these complex systems, and those test environments have to be built in a good way, built in a safe way. And then the second thing is we have to test these products. If we're, if we're not confident about the safety of the products, like all companies, like you and I, any, any com— all the companies here, if you build a product or a service and you're not confident in its functionality, capability, or safety, then don't release it. And so that's a very obvious thing to do. You pace yourself until you are confident you're releasing something that the market would appreciate. The market forces are already there. We don't need any new laws. We don't need new regulations. We just need companies to decide that when it's, you know, run as fast as they can. I think innovation speed and safe products are not— it's a false choice. You could definitely have both at the same time. So run as fast as you can. But if you feel at any given point in time the company's outta control or the product's not gonna be safe, you know, take a pause and make sure you get it right.

What's your vision for the next year in the short term? What would you like to see everyone in this room, we have 10,000 people you can see all around, we have 10,000 people in this room, we have 10 million people online, 50,000, 53,000 people here at Dreamforce with us this year. I think this is your second Dreamforce. You know, what do you wanna see us all kind of get done this year?

Well, um, I'll say, I'll say this first and then I'll say last. And, and I'm pretty sure what we want to do is agent force every company. Do you guys agree with that? All right, so, so I, I'm, I'm, I'm his sales guy, the, the, the consummate sales guy sales guy. And so, so of course, of course, uh, what I mean by that, of course, is that we really want to deploy AI. You know, in order for all of our— we were— the people here, you represent a lot of different companies, a lot of different countries. You don't want to be left behind. This is too important of a technology revolution. It is too extraordinary of capabilities. Engage the technology, learn about it. You know, if it doesn't work for you right away, don't give up on it. And the reason for that is because there's a massive industry working behind it, making it better all the time. If you just tested it today and you felt that it did 80% of what you expected, test it again in a couple of weeks. It's going to get much, much better. And so don't give up on the technology. The most important thing is don't get left behind. I think that in the big picture, though, is that in the last 6 months, there's no question AI went from the labs into what I would consider extremely useful AI, which you're experiencing and I'm experiencing across all of our companies. The surprising thing for a lot of people, and wasn't surprising to me, okay? And in fact, you heard me say it. I was the first CEO to come out, not in the software industry, to say the end of software is nonsense. This is gonna be a layer on top of software. This was, it was a layer on top of software. This new layer on top of software is gonna be agentic. It's gonna make you use the software so much better. And so that's the first idea. The second idea is AI's gonna destroy jobs. That's also completely nonsense. And the reason that is very, very simple. There was, you and I are, you know, we look young. The fact that we could—

Well, you do.

The fact that we could—

We really look young.

Yeah, the fact that we could—

Yeah, we really do. You're right.

The fact that we could sit here and pace and talk at 100 miles an hour and keep up with young people like that. We are—

It's really true what you're saying, by the way. It's really true.

It is true.

Roland, do you agree with this? Yeah, Roland also agrees.

The two of you guys, you know what? I'm very good friends with both of you guys. The thing that I was amazed by is that finally— look, when I'm with the two of you, I always feel like I need to stand on a chair. And literally, literally, look at this.

Look at this. Look at this.

I just want to let you guys know that when I'm on an airplane, I'm a lot more comfortable than you guys. And so through human evolution, they realized that big is unnecessary.

Several—

there's several— it's about a million years of evolution between you and me.

Yeah.

And so—

This keynote is making a dramatic turn.

Well, we're just— we're going to connect it to today's entertainment from— and then from here, we're going to pivot right into comedy. And, and so, so, Mark, um, the, the thing that— the thing that's happening now is, of course, AI is becoming, uh, productive and useful. And as a result, The number of tokens that are being generated is skyrocketing. One of the— some of the most important things, of course, is that closed models are doing incredibly well. In the last year, I think the number of tokens increased, skyrocketed by 25x, and that— a lot of that in the last 6 months. What's amazing is the open models in that same period of time increased 50— out of that, excuse me, the open models went from 30% at the beginning of that year to now some 70%. And so what that basically says is that people are both adopting closed models at exponential rates, but also people are building their own custom AIs because every single software company is an AI company and every single enterprise is going to be an agentic and AI enterprise. And so I think that these transitions are super powerful for the industry. As a result, Companies are going to become more ambitious than ever. You're more ambitious than ever. I'm more ambitious than ever. As a result of our ambition and with the productivity boost that we get from AI, the sky's the limit for us.

I agree.

The sky's the limit for our company. The sky's the limit for every industry, for every single country. So engage AI. Don't get left behind.

Yeah. And I'll tell you, the sky is especially the limit You know, for our trailblazers, I think this technology, the way it empowers people, the way it takes people who, you know, can really make a huge dent in companies and transform them, the technology can partner with them to do this in incredible new ways. That is what I'm really excited about.

You and me too. You and me both.

Jensen, we could not be more grateful to you for coming to Dreamforce, being here with us, being a part of this.

Thank you.

We are so thrilled. Please thank Jensen Huang.

Thank you.

Thank you.

Thank you.

Thank you, Mark. Thank you, Jensen. All right. Amazing. How about that? Wasn't that fantastic? And that— with that, I want to bring back our good friend Rohan Kumar. Rohan, let's hear it.

Thank you, Mark. That is amazing. Well, this is not going to be a comedy session, but I want to talk about something that's foundational to everything that you've seen today, data and enterprise context. You know, enterprise context is anything that makes your business uniquely your business. You know, these models are very intelligent. They're extremely smart. They know a lot about the world. They know nothing about your business. They don't know your customers. They don't know your products. They don't know your employees. They don't know your transactions. Your conversations. They don't know your business workflows. They don't have the history and the context of how your business functions. And guess what? At Salesforce, we have an incredible suite of products that helps you create this enterprise context, manage it, secure it, and make it available to all the agents across your enterprise. Let's get started. The first step is to get your data ready for AI. You know, before your agents understand your business, you need to understand your data. And it's actually extremely complex. You know, data is locked into silos, data lakes, warehouses, storage systems, applications. Informatica is the product suite. It's the world-class product suite that helps data leaders discover their data from all these silos, clean it, curate it, and make it ready for AI. So that's the first step. Use Informatica to get your data ready for AI. Now once your data is ready for AI, you basically need to sort of create the trusted context. And the way you create trusted context is through Data 360. So what is trusted context? You know, a customer of yours calls your support case. That is data. Deeply understanding that customer, what is their business, what are they trying to accomplish in the moment? And what can your agent do to take the next best step and help them? That is enterprise context. And with Data 360, you can use the zero-copy capability to get the data that's outside of Salesforce. We know there's a lot of your enterprise data that's outside of Salesforce. And you can get all that data, synthesize the enterprise context and knowledge without actually physically copying those data assets. So that's how you create the enterprise context. Now once you have your enterprise context created, you need to create the business semantics. You know, every company has a unique way in which they think about the business conversations. What does revenue mean? What does ARR mean? What does customer churn mean? What does customer health mean? These are not just some static fields inside a database. These are business metrics, business relationships and logic that have been built over years. And Tableau is the most amazing tool for you to go create those business semantics, augment your enterprise context, and make it available to all the agents across your enterprise. Now you got your data AI ready, you essentially created the enterprise context, and you got the business semantics. These agents that have access to all this information are extremely powerful, but put yourself in the shoes of the security leader. They create an amazing amount of security risk. What do these agents do? Like, what are they accessing? Can they leak my confidential data, my enterprise context? These are serious questions. That's why I'm so excited to introduce Salesforce Guardian. Salesforce Guardian is the security suite of products. That's the evolution of Shield and Trusted Services that focuses on 2 things: agent identity— how do you discover agents that are going rogue— and data security. So think about data classification and data lifecycle protection. Those are the 2 things that we are focusing on or solving with Salesforce Guardian. And of course, our commitment to zero data retention. You saw Mark spoke— speak about it multiple times. It's very important to us that even when models reason over your confidential enterprise context, that's your IP, we will always protect it. All right, that's how you secure your AI. The final step essentially is think about the IT leader. Now you have a digital workforce that's coming together, hundreds of agents, thousands of agents, who knows? Millions of agents across all your teams, platforms, and enterprises. How are you going to manage them? How are you going to discover them? How are you going to control them, especially cost control? That's where MuleSoft has been, you know, up-leveled into Agent Fabric. IT leaders have trusted MuleSoft for decades to manage their APIs that connect their business. With Agent Fabric, you can manage all your agents using one single registry. All right, so you've seen Informatica gets your data ready for AI. Data360 builds out your enterprise context. Tableau builds out your business semantics. Salesforce Guardian helps you secure your AI. And then MuleSoft and Agent Fabric helps you manage and govern your AI. Let's see how this comes together at a customer, Adecco. Adecco is an agentic enterprise that actually is helping candidates who are looking for jobs, mapping them with their active opportunities. Think about it, millions of candidates every year looking for new jobs, right? And to get this right, the Adecco agents have to rely on trusted context that's built on Data 360 and Customer 360. It's incredibly exciting. Just this year alone, based on the scale, they've managed 2.6 million agent interactions with these candidates. I'm going to show you how Adecco is actually building these agents in a very trusted and scalable manner. But before I do that, I'm going to pass it to Maura to actually show us the agent experience.

Awesome, Rohan. Let's do it. Who's ready?

Okay.

Okay. So Adecco is this huge staffing company, as Rohan said, and they connect people all over the world with their dream job. But the scale of Adecco, it's massive. They have over 5 million candidate applications every single month. So the scale is great, right? But it's too much work for their recruiting team to handle. So what did the Adecco team do? Well, they went ahead and they brought on a recruiting agent to manage all of these candidates, to pull them through the funnel. And they named this agent Ada. They wanted to personify this agent so it felt like an extension of their brand. And Ada is built on Agentforce Voice, so she can have live phone conversations with candidates all around the world 24/7. So let's see it in action. Who's ready? Let's do it. Okay. So we're going to do a little role play right now. Let's pretend that I just replied or applied to an IT role. Wish me luck. It's not my forte, but my application, it's stuck. It's stuck in the process. So I want to give Ada a call, and I want to see what's going on.

Hi, Maura. I'm Ada, Adecco's AI recruiting assistant. I see your IT support specialist application, JR325421, is paused due to an expired CompTIA certification.

Have you renewed it?

I have. My confirmation number is MP2890. Am I able to move forward in the process?

Let me take a look.

I was able to verify your new certification. I'm updating your application now. Is there anything else I can help you with?

Nope, I'm all set. Thanks, Ada. Okay, so what just happened? I just had a live phone call with this recruiting agent, and it was a really productive experience. I was able to get my problem solved. I was able to move through the process. And the question is, how? How did that work? Well, it's because of all of the rich data in Data 360. This is your agent's single source of truth. Mark said it earlier. This is the data that drives your AI. So, Ada, she was able to see everything about me. She saw what my name was. She knew my identity. She saw my job application. She knew which role I was going after. And she saw that certification flag. She knew that I needed to renew it and complete that in order to move forward in the process. So this was a really great candidate experience for me, right? I'm feeling good. But the power of agents, it's scale. That personalized experience that Ada just gave me as a candidate, she could give it to hundreds of thousands of candidates all at the very same time. So speaking of scale, what's really important is that the business leaders at Adecco, they can see the impact that she's having on the business. It's not just about one candidate interaction, it's about knowing that she's moving the business forward. So here we are in Slackforce, and this is a live interface that's pulling all of the information of what Ada's doing with her candidates. I look at this and I'm like, wow, Ada's going to work, right? Ada's been busy. I can see that she's having conversations all around the globe, all the way from the United States to Spain to France. And more importantly, I can see that she's moving these candidates through the funnel. Because when you think about agents, it's not just about knowing they're having all these interactions, it's about making sure that they're moving your business forward. So I can see she's pulling these people through to hire, and she's filling these jobs. So I just showed you one example of an agent, right? I showed you a recruiter agent that Adecco has used to engage these candidates at scale. And companies like Adecco, they are deploying agents all across their business, and all of you guys, right? But the next major question is, how should I think about managing these agents, and how should I do it with trust front and center? So Rohan, I know this is top of mind for you. Break it down for us.

Thank you, Maura. That was wonderful. So now you want to pay attention. I know it's towards the end of the keynote, but you really want to pay attention at this time because I'm going to show you 2 new product experiences that have never been showed at Dreamforce. Agent Fabric for the IT leaders to manage the agents, and then Salesforce Guardian for the security leaders to secure their agents. So what you see on the screen over here essentially is the homepage for Agent Fabric, right? It essentially has scanners that are actively scanning your enterprise continuously to discover new agents as they come up, and then agents that become inactive. Let's go take a look at the Agents tab. Here you see the list of agents, all the agents that are there in the enterprise. And I want you to focus on the provider column. You see there are agents from Azure, Microsoft, AWS, Google, and Agentforce, of course. So every provider's agents are actually managed by Agent Fabric. Now let's go a little deeper into the, uh, Ada recruiting agent that Maura spoke to. Here as an admin, I get a very clear view of all the skills that the agent is using. How do candidates get qualified? How does the agent look at the verification status? They have listed a whole bunch of things on their resume, you know, verifying that those are actually true. Let's go a little deeper into the lineage. where is this agent getting its grounding data from? Remember, enterprise context is how the agents become deterministic. This essentially shows you how. And the beauty is we have deeply integrated Agent Fabric with Informatica. So all the catalog information in Informatica, which, you know, where your catalog was discovered across your enterprise, those sources show up. And so the IT admins can pick what the agents get connected to. So that's the first issue. The next thing as an admin I'm worried about is, hey, how are these agents performing? What are they? You know, like what does the performance look like? And with Agent Fabric, you basically see a very clear view of the average latency. So every request, how long does that take to complete? What's the error rate of these interactions, agent interactions? That's important. Policy violations, like is the agent going rogue and should something be done about it? And then the total number of requests. This is important from a cost management standpoint. It's great that the number of requests are increasing because you want the business to grow. But how does that impact costs? Let's go take a look at that. So in the cost management in Agent Fabric, it makes it really easy. So you have these things called Agent Fabric wallets, which essentially is a way for you to budget your spend across multiple agents. So here you can see Ada is sort of hitting towards the end of the budget for the month. And Agent Fabric essentially gives me a way to optimize my agents. It's observing your agent interactions, what your agent is doing, And using AI, it's figuring out certain optimizations that'll help you reduce your token costs. So it's pretty amazing. So I can just go click, view the optimizations for Ada, understand the, uh, recommendations being suggested, if they have any behavior changes. If I'm okay with that, all I need to do is just go apply the change, and that's how I manage my costs. So there you go. Agent Fabric essentially helps you manage, govern, and control your costs. Now let's put ourselves in the shoes of the security leader. Right, like I said, the big thing that agents change are agent identity, really trying to understand the risk associated with the agents, and data security. And those are the 2 big areas that Guardian is focused on in terms of new innovation, right? We show you all the agents that are considered risky based on the actions that they're taking, and then across your data assets, which data assets are not classified and not protected. so the security leaders can take action.

Wow.

So that covers Salesforce Guardian. We've shown you a lot within Data 360. And guess what? Across Teamforce, there are many more sessions that you can go watch to learn, go much more deeper. I have a keynote that's coming up where I'm going to talk about the evolution of Data 360 into what we call the Enterprise AI Harness. This is going to be an amazing future for us. And with that, let me hand it over to Mark.

All right. Great job, Rohan. Great job, Rohan. Really, really great. And Denny, please stand up. Please welcome Denny, the CEO of Adecco, is here. Great to have you, Denny. Bon ami. So happy. Really excited. We had our friend from Germany. Now we have our friend from France. So Denny, just give us the vision for how you are using Agentforce and interviewing all these candidates and automating your companies and building new companies like R Potential. Give it to us.

Well, first of all, thanks for having me. And it was great to hear Jensen saying that, you know, jobs are going to remain in the world, right? That, you know, the massive destruction of jobs is not going to happen. So actually what happened is we started to identify the business by thinking about what was happening in the company. We are a people company and recruitment is about people talking to people. And actually our recruiters were doing a lot of things but not enough time spent in the human-to-human connection. So what we did, we didn't start where it was easy. We started on what mattered most, which is the core process. We started on the core workflows, but on top of that we had a, you know, growth mindset. We wanted AI to be a growth engine for the business by generating, you know, a higher level of conversations with our clients and our candidates. And with Agentforce, it's now possible 24/7. That was a life-changing moment for us. On top of that, you know, the time spent, the time saved, you know, our recruiters saved 35-40% of their time thanks to Agentic AI. And what they use that time to create much more qualitative conversations with clients. And when you do that, and with candidates, and when you do that, you grow the business. We have placed 20,000 more people year to date thanks to better conversations. And in doing that, we also you know, create joy at work because people are focused on what they love most. And the last thing, because you mentioned our potential, I think when we started to work together, we had a common vision that AI had to happen with people and not to people. And that common vision created our potential. AI-native platform that is there to guide our clients. Many clients still struggle about how they can scale AI and struggle on, you know, how to decide what work goes to AI and what works— what work remains done by humans. And our potential is about that. It's about core business reinvention, measuring outcomes. This is fundamental. And also bringing people along. So, you know, at the end of the day, if AI wants to be successful and if, you know, if we want to measure and bring the returns, people cannot be, you know, an afterthought. We have a common responsibility to create a human-centric AI.

Very good.

That's what we are about.

Denny, great job. Thank you so much for being here at Dreamforce. We could not be more grateful to Adecco and to you and for your leadership and everything you're doing. Thank you so very much for coming and visiting with us today.

Thank you.

Thank you very much. Well, this is the moment to start your Agentic Enterprise journey. We have just an incredible show set up for you. You're going to have an amazing opportunity to get going. Dreamforce is where everybody transforms, and we are so grateful to each and every one of you for joining us today at Dreamforce and spending the next several days with you. Welcome to Dreamforce. Thank you.