WEBVTT - Salesforce CEO Marc Benioff Talks AI Developments, Agentforce

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<v Speaker 1>Bloomberg Audio Studios, podcasts, radio news.

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<v Speaker 2>Let's head over to Davos.

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<v Speaker 3>Salesforce CEO Mark Benyoff speaks with Bloomberg's Bradstone and Mustapha.

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<v Speaker 3>We're not getting along well on panels that they were

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<v Speaker 3>on here at Davos. You can go back and see that.

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<v Speaker 3>I remember one specifical panel that I was in and

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<v Speaker 3>it was thought they were going to come to blows,

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<v Speaker 3>but you know, it didn't happen.

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<v Speaker 1>And so has Larry Ellison, an oracle you think, stepped

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<v Speaker 1>in as a technology partner or a source of funding

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<v Speaker 1>for open Ai.

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<v Speaker 3>I can't speak to those specifics, but what I can

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<v Speaker 3>tell you is that I think it's a big moment

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<v Speaker 3>in the history of open ai that they're not running

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<v Speaker 3>on a Microsoft data center.

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<v Speaker 1>And how does it impact I guess Microsoft's competitive competitiveness

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<v Speaker 1>on AI going forward. We'll talk about Copilot and the like.

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<v Speaker 1>But did you feel like, you know, because of these developments,

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<v Speaker 1>Satya and Microsoft are in an unfavorable strategic position.

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<v Speaker 3>Well, I think, as you know, Microsoft doesn't have today

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<v Speaker 3>their own frontier model, so they rely on open Ai.

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<v Speaker 3>And now open Ai is saying that they're going to

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<v Speaker 3>another data center structure. So it's a big moment.

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<v Speaker 1>Right, and to just close the loop on Stargate. You know,

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<v Speaker 1>part of this is obviously driven by national security concerns

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<v Speaker 1>and the idea that you know that it is vitally

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<v Speaker 1>important for the US to maintain this lead. I mean,

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<v Speaker 1>do you share the concern and the urgency and do

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<v Speaker 1>you think China is close to AI parody?

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<v Speaker 3>Well, you have what six questions in there, let's kind

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<v Speaker 3>of peel it apart one by one. I think that

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<v Speaker 3>we're just seeing an incredible amount of investment in AI overall,

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<v Speaker 3>which is because it's really exciting. Look at what's happening

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<v Speaker 3>here at the conference I just showed you. You know that

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<v Speaker 3>Salesforce has run the information management for the World Economic

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<v Speaker 3>Forum for more than a decade, So all of everything

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<v Speaker 3>that's happening here is running on Salesforce. But and we've

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<v Speaker 3>used our Einstein platform here for years, but this is

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<v Speaker 3>the year that we're using Agent Force. So now you

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<v Speaker 3>have an agent that's run front end of your app.

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<v Speaker 3>Probably that is okay, Well, what it is is you

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<v Speaker 3>have the ability now to use an agent, a kind

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<v Speaker 3>of almost like a digital worker to help you to

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<v Speaker 3>kind of get your job done. So here I am,

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<v Speaker 3>I have my app, I'm on my phone. I'm normally

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<v Speaker 3>just bringing up my World Economic Forum app. I'm going

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<v Speaker 3>through trying to find all my sessions. So when is

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<v Speaker 3>Brad speaking? How do I know Brad? Can I contact

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<v Speaker 3>Brad instead? Now I can just say to the agent, hey,

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<v Speaker 3>when is Brad speaking? And let leave contact him for

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<v Speaker 3>me and help me make this happen. At Salesforce, we

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<v Speaker 3>just deployed our Agentforce technology on help dot salesforce dot com,

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<v Speaker 3>which is how we deliver help to our customers. Thirty

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<v Speaker 3>six thousand customers a week come to help dot salesforce

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<v Speaker 3>dot com. If you had come there a month or

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<v Speaker 3>so or ago, about ten thousand of those customers have

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<v Speaker 3>to move off and get support from human beings, and

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<v Speaker 3>about twenty six thousand got resolved by our software. Now

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<v Speaker 3>with agent Force, only five thousand are going off to

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<v Speaker 3>human beings. So our nine thousand support agents have a

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<v Speaker 3>little bit less to do because the software is able

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<v Speaker 3>to resolve a lot of this on its own. And

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<v Speaker 3>that's a very exciting moment that AI and agents can

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<v Speaker 3>kind of give us this incredible productivity that we couldn't

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<v Speaker 3>have whether we're trying to navigate the World Economic Form

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<v Speaker 3>and Davos or where Mark Benioffice trying to answer his customers'

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<v Speaker 3>support issues. Agents are making a huge difference in our

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<v Speaker 3>ability to be successful.

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<v Speaker 1>I want to come back to that, but I just

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<v Speaker 1>want to make sure we answered the previous question on

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<v Speaker 1>kind of AI parody between China and the US.

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<v Speaker 3>I don't think there is AI parody today. No. I

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<v Speaker 3>think that the US has a definitive lead, and I

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<v Speaker 3>think most of the analysis and I think obviously you

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<v Speaker 3>have a big shootout going on at the very top

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<v Speaker 3>end of the aron tier models between Google, Open Ai,

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<v Speaker 3>and Anthropic. Salesforce is obviously an investor in Anthropic. We

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<v Speaker 3>obviously have relationships with open ai as and also Google.

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<v Speaker 3>The Google technology I think is amazing. Neil Ferguson just

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<v Speaker 3>wrote a tremendous analysis of the three models and kind

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<v Speaker 3>of said it appears at Google. So Gemini as a player,

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<v Speaker 3>I think Gemini is more than a player. It's probably ahead.

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<v Speaker 1>Okay, And by the way, Dario proceeded you on stage

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<v Speaker 1>earlier this afternoon.

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<v Speaker 3>He has an outstanding model and is doing a great

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<v Speaker 3>job in his company.

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<v Speaker 2>Okay, So back to agent forest.

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<v Speaker 1>He said, few less things for your employees to do

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<v Speaker 1>with agent force, But does it also.

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<v Speaker 2>Mean fewer employees.

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<v Speaker 1>What are the ramifications of this kind of new age

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<v Speaker 1>of agentic models going to unsupervised do our tasks for us?

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<v Speaker 3>No, no question, I mean, of course, in the history, look,

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<v Speaker 3>technology is always getting lower costs in these yer to use.

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<v Speaker 3>There's not any you know, horses out on the streets

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<v Speaker 3>right now going out, and now we have cars now.

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<v Speaker 3>And in the same way, I think we should just

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<v Speaker 3>think about the analogy I just gave you, which is

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<v Speaker 3>that we have a lot less work for our support

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<v Speaker 3>agents to do because we've deployed agent force at salesforce,

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<v Speaker 3>so I can redeploy that resource into other parts of

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<v Speaker 3>the company. That's very exciting for me. I have plenty

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<v Speaker 3>to do, so I can kind of say, Okay, these

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<v Speaker 3>folks can work on this now instead of being over here.

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<v Speaker 1>Has it changed the arc of your hiring plans going forward?

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<v Speaker 1>And what is the widespread deployment of this technology mean

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<v Speaker 1>for you a full employment labor market?

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<v Speaker 3>Well, that is really the powerful thing. We're in a

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<v Speaker 3>labor market where it's really hard to hire people. There

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<v Speaker 3>aren't people to hire I want to radically expand sales

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<v Speaker 3>and service and marketing and salesforce because we are seeing

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<v Speaker 3>a huge amount of demand in moving and deploying our

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<v Speaker 3>new technologies. Finding those people incredibly difficult. That I have

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<v Speaker 3>agents at my disposal is tremendous. So look, I want

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<v Speaker 3>an unlimited workforce. I think everybody does agent force AI agents.

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<v Speaker 3>That's beginning of an unlimited workforce. Giveing an example. We

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<v Speaker 3>have a customer called Wiley. They're a bookseller in the US.

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<v Speaker 3>You probably have picked up some of their books when

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<v Speaker 3>you're in college. You know them well, and you know

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<v Speaker 3>they have this moment every year called back to school,

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<v Speaker 3>and they have to normally hire a lot of gig

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<v Speaker 3>workers to go into sales or into service or whatever

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<v Speaker 3>it is. This is a year they did not have

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<v Speaker 3>to do it. There were one of our launch customers

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<v Speaker 3>on Agent Force. They have the ability to just scale

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<v Speaker 3>their sales and service when they needed it and then

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<v Speaker 3>bring it back down when that demand spike ended. And

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<v Speaker 3>we have now you know, lots of examples of that.

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<v Speaker 3>So we've now released the code late October. We did

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<v Speaker 3>about two hundred deals in.

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<v Speaker 2>Our third quarter.

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<v Speaker 3>In our fourth quarter, we'll see thousands of agent Force deals,

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<v Speaker 3>and I've never seen anything go as fast at Salesforce

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<v Speaker 3>as this. I've never been as excited about the technology

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<v Speaker 3>industry as I am right now.

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<v Speaker 1>So in the tech industry, we love a good old

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<v Speaker 1>fashioned feud. We used to have a lot of them,

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<v Speaker 1>like Larry and Bill Sparring. You know, Kendrick Lamar and

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<v Speaker 1>Drake had had nothing on the tech industry. But recently,

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<v Speaker 1>you know, you've been tweeting or posting on x as

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<v Speaker 1>you describe agent Force and drawing juxtapositions with Microsoft and

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<v Speaker 1>co Pilot. Not to do more Microsoft pashion here, but

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<v Speaker 1>I think you compared it to Yeah.

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<v Speaker 2>No, but I want you to because I don't know

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<v Speaker 2>that I really fully got my brain around it.

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<v Speaker 1>How the agent Force model is different than the coilet mind.

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<v Speaker 3>I can make it very similar. Well, first of all,

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<v Speaker 3>you're right, Microsoft has disappointed you know, a lot of

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<v Speaker 3>customers with Copilot, and the reason why is.

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<v Speaker 2>I'm not sure everybody agrees.

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<v Speaker 3>But okay, well, I mean you can read the Gartner analysis,

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<v Speaker 3>you can read a lot of the media, but I'm

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<v Speaker 3>sure you're a big Copilot user yourself, Is that right?

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<v Speaker 1>I try to moderate my Oh, I see you know

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<v Speaker 1>I don't want to, all right, but you're like most people,

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<v Speaker 1>you don't use it, all right, thank you, thank you

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<v Speaker 1>for making my case.

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<v Speaker 3>But anyway, the point of it is all Copilot is

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<v Speaker 3>is repackaged chat GPT. So in a chart I just

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<v Speaker 3>saw like the twenty most used apps currently on the Internet,

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<v Speaker 3>like open Ai was very much at the top. Co

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<v Speaker 3>Pilot was not on the list. I just retweeted it. Actually,

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<v Speaker 3>so when you look at that, why that is is

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<v Speaker 3>because why use it? It's not really offering me any value.

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<v Speaker 3>So agent force is really what AI was meant to be.

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<v Speaker 3>The ability to give a company, a user, a customer,

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<v Speaker 3>really the value of artificial intelligence. That's why I was

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<v Speaker 3>excited to bring it to the show. Excited that Davos

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<v Speaker 3>has deployed it and we can really show customers here

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<v Speaker 3>this is a really great opportunity. In an example, yesterday

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<v Speaker 3>we were in a session with Rollbank Canada who just

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<v Speaker 3>deployed it for their wealth management. Look their ability to

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<v Speaker 3>scale and compete against the big US banks when their

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<v Speaker 3>wealth management is augmented because they're using agent for us.

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<v Speaker 3>That's very exciting for them. They're CEO Dave McKay is here.

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<v Speaker 3>It was really a great, a great moment to hear

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<v Speaker 3>you know what they're doing with this.

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<v Speaker 1>So before you mentioned the abundant capital flowing into AI,

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<v Speaker 1>you know, anthropic to even today there was news of

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<v Speaker 1>another one hundred one billion dollars from Google. Is there

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<v Speaker 1>any case to be made that AI is over invested

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<v Speaker 1>at this point?

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<v Speaker 3>No, there's not. I would say that we are really

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<v Speaker 3>at a point where everything is changing. I think the evidence,

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<v Speaker 3>like we just did a demo with your associate in

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<v Speaker 3>the back here where I just took out my phone

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<v Speaker 3>and we were demoing the World Economic Forum app. And

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<v Speaker 3>if we were here a year ago, we'd be looking

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<v Speaker 3>at a very similar app kind of going through what

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<v Speaker 3>sessions are we going through? Who's coming to the conference?

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<v Speaker 3>I need to contact this person, all the typical things,

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<v Speaker 3>and instead I have this agent that I just can

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<v Speaker 3>go right to and say, hey, do all this for me.

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<v Speaker 3>That level of productivity, that's why in the third quarter

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<v Speaker 3>of last year we saw productivity rise in the US

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<v Speaker 3>without any additional workers. That really hasn't happened in a while.

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<v Speaker 3>That very society margin there that I think that is

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<v Speaker 3>exactly what is going on. I think AI is kind

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<v Speaker 3>of kicking in Right now, I'm writing the business plan

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<v Speaker 3>for my next fiscal year, which starts February one, and

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<v Speaker 3>this will be the third year in a row that

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<v Speaker 3>I'm working with an AI to write my business plan

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<v Speaker 3>for the year. So I'm I have a colleague. I

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<v Speaker 3>will write different parts of the plan, and then I

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<v Speaker 3>will talk to the AI and I will say, hey,

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<v Speaker 3>what do you think of this? How does this compete?

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<v Speaker 3>We have our we have some great technology. And then

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<v Speaker 3>I'll say, hey, how does this How does this affect

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<v Speaker 3>this competitor? How does it affect that competitor? And I

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<v Speaker 3>have been shocked at how it's impact me. That it

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<v Speaker 3>has made me more productive, but also expands my own

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<v Speaker 3>consciousness on what I should be doing and leading and

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<v Speaker 3>moving forward. So AI is definitely a part of I

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<v Speaker 3>cat to be.

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<v Speaker 1>A little bit more skeptical, and when I are.

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<v Speaker 3>I didn't know that. How long do I know you for?

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<v Speaker 3>I never knew this, But I'm so happy to know

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<v Speaker 3>this about you.

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<v Speaker 1>When I when I hear things like Larry, your former boss,

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<v Speaker 1>Larry Ellison saying today that there will be targeted vaccines

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<v Speaker 1>for cancer using AI within forty eight hours, I mean

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<v Speaker 1>it just feels like the exuberance is.

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<v Speaker 3>I don't think he means in the next forty eight hours.

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<v Speaker 3>So I think what he's saying.

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<v Speaker 2>Is we understand forty eight hours within diego okay.

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<v Speaker 3>So what is okay? So I've actually talked to him

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<v Speaker 3>about what he's doing. It is pretty incredible. His vision,

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<v Speaker 3>you know, his vision is that, you know, there's these

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<v Speaker 3>amazing kind of cancer tests that have kind of been developed,

0:11:51.880 --> 0:11:54.400
<v Speaker 3>like GRAYIL and others, where you could get a blood

0:11:54.400 --> 0:11:56.839
<v Speaker 3>test and it shows you if you have these fragments

0:11:56.840 --> 0:11:58.800
<v Speaker 3>of cancer in your bloodstream and so forth, and then

0:11:58.880 --> 0:12:01.679
<v Speaker 3>they go to try to find the cant in this case.

0:12:01.920 --> 0:12:03.880
<v Speaker 3>And I'm not going to describe it as beautifully as

0:12:03.880 --> 0:12:07.840
<v Speaker 3>he did today, but because it's his vision, his idea

0:12:08.559 --> 0:12:10.800
<v Speaker 3>is that you're gonna be able to run that same

0:12:10.920 --> 0:12:15.000
<v Speaker 3>test and then use AI to have much more affinity

0:12:15.000 --> 0:12:18.640
<v Speaker 3>on what's really going on, and then be able to

0:12:18.760 --> 0:12:25.680
<v Speaker 3>use our mRNA technology to develop a highly personalized vaccine

0:12:26.040 --> 0:12:29.520
<v Speaker 3>for that cancer and eradicated from your body. That is

0:12:29.600 --> 0:12:34.160
<v Speaker 3>pretty extraordinary. Obviously it hasn't happened yet, but the vision

0:12:34.240 --> 0:12:36.480
<v Speaker 3>is awesome. And you know what, I think we should

0:12:36.480 --> 0:12:39.240
<v Speaker 3>be looking for innovation in the world, and it's exciting

0:12:39.280 --> 0:12:42.600
<v Speaker 3>to see someone like Larry Ellison having a huge vision

0:12:42.640 --> 0:12:46.920
<v Speaker 3>for cancer. He has invested lots of his own money

0:12:46.960 --> 0:12:50.720
<v Speaker 3>and cancer treatment and has centers in la and in

0:12:50.760 --> 0:12:53.120
<v Speaker 3>Oxford and it's been very impressive. Okay to see what

0:12:53.160 --> 0:12:53.560
<v Speaker 3>he's done.

0:12:53.600 --> 0:12:55.840
<v Speaker 1>I want to hit a couple more topics before we

0:12:55.880 --> 0:12:58.720
<v Speaker 1>are supplanted by a head of state. I think last

0:12:58.800 --> 0:13:01.040
<v Speaker 1>year we talked about social media and you sounded the

0:13:01.080 --> 0:13:04.520
<v Speaker 1>alarm on misinformation and you.

0:13:04.480 --> 0:13:06.280
<v Speaker 2>Know, the lack of proper oversight.

0:13:07.000 --> 0:13:09.920
<v Speaker 1>You've viewed some salty language, and in the last few

0:13:09.960 --> 0:13:14.400
<v Speaker 1>months we have seen a retreat on moderation. You know what,

0:13:14.400 --> 0:13:17.960
<v Speaker 1>what do you make recent moves at Meta and the

0:13:18.000 --> 0:13:21.240
<v Speaker 1>company formerly noticed Twitter, And do you think it's dangerous?

0:13:21.920 --> 0:13:25.240
<v Speaker 3>Well, I think, you know, my thoughts on social media

0:13:25.320 --> 0:13:27.680
<v Speaker 3>is really well known. But I think that you know,

0:13:27.720 --> 0:13:29.679
<v Speaker 3>we need to continue to look at from the fundamental

0:13:29.679 --> 0:13:33.040
<v Speaker 3>reshaping of you know, section two thirty. I think if

0:13:33.080 --> 0:13:36.840
<v Speaker 3>we are going to let these organizations go to every

0:13:36.880 --> 0:13:41.079
<v Speaker 3>possible extreme, then they should be held accountable and liable

0:13:41.160 --> 0:13:43.760
<v Speaker 3>for whatever the content is. And I think that when

0:13:43.760 --> 0:13:45.920
<v Speaker 3>we look at section two thirty, it wasn't written for

0:13:45.960 --> 0:13:48.959
<v Speaker 3>this kind of moment, and especially with the age of AI,

0:13:49.520 --> 0:13:50.840
<v Speaker 3>this is a time when that we have to go

0:13:50.920 --> 0:13:52.720
<v Speaker 3>back and do that. And I hope that the Trump

0:13:52.760 --> 0:13:55.920
<v Speaker 3>administration will evaluate that they've made a number of comments

0:13:55.960 --> 0:13:58.560
<v Speaker 3>along that along those lines, and I think that that

0:13:58.720 --> 0:14:02.480
<v Speaker 3>is appropriate to to get rid of that regulation so

0:14:02.520 --> 0:14:07.240
<v Speaker 3>that these organizations can be held accountable. I think you're

0:14:07.240 --> 0:14:09.439
<v Speaker 3>a journalist, you're held accountable for you what you write

0:14:09.480 --> 0:14:11.640
<v Speaker 3>and what you put on your platform, So should they.

0:14:12.840 --> 0:14:16.720
<v Speaker 1>You have come to Davos in years past and made

0:14:16.880 --> 0:14:18.320
<v Speaker 1>some pretty strenuous.

0:14:17.920 --> 0:14:20.960
<v Speaker 3>One thing we said was yes, positive, Well.

0:14:20.840 --> 0:14:23.560
<v Speaker 1>We've still three and a half minutes and you've made

0:14:23.600 --> 0:14:28.800
<v Speaker 1>some pretty strenuous laid out some strenuous climate goals. I

0:14:28.840 --> 0:14:31.640
<v Speaker 1>think there was planting a trillion trees by twenty twenty.

0:14:31.920 --> 0:14:35.040
<v Speaker 3>I mean, how in fact today right now, actually we're

0:14:35.040 --> 0:14:43.400
<v Speaker 3>announcing that we're delivering the largest forest reserve in Earth's

0:14:43.440 --> 0:14:46.640
<v Speaker 3>history in the Congo, and President of the Congo's making

0:14:46.640 --> 0:14:49.680
<v Speaker 3>the announcement part of the trillion tree announcement that we

0:14:49.680 --> 0:14:52.520
<v Speaker 3>did five years ago. And we're almost at two hundred

0:14:52.560 --> 0:14:55.640
<v Speaker 3>billion trees, so we're not quite at a trillion, but

0:14:55.680 --> 0:14:58.960
<v Speaker 3>we got to keep going, I will se question twoga

0:14:59.000 --> 0:15:02.000
<v Speaker 3>cont Okay, I'm glad you're excited about that.

0:15:02.840 --> 0:15:04.200
<v Speaker 2>I love trees. We love trees.

0:15:04.520 --> 0:15:06.360
<v Speaker 3>If I'm not sure you do based on that, but

0:15:07.040 --> 0:15:09.760
<v Speaker 3>we spent exactly about five seconds on trees and a

0:15:09.800 --> 0:15:12.960
<v Speaker 3>lot on Larry Ellison. I think you like Larry Ellison

0:15:12.960 --> 0:15:18.040
<v Speaker 3>more than trees. Brad. My question is I'm just saying.

0:15:17.800 --> 0:15:22.280
<v Speaker 1>That is required to run these AI data centers. If

0:15:22.320 --> 0:15:26.240
<v Speaker 1>the industry is sort of conveniently waving it away talking

0:15:26.280 --> 0:15:31.160
<v Speaker 1>about nuclear if we've really accounted for the requirements that

0:15:31.160 --> 0:15:32.080
<v Speaker 1>these companies are.

0:15:31.920 --> 0:15:34.120
<v Speaker 2>Going to need as they scale up their operations.

0:15:34.800 --> 0:15:37.400
<v Speaker 3>Yeah, well, I think that that whole idea that energy

0:15:37.480 --> 0:15:40.040
<v Speaker 3>still needs to get rationalized against what's happening with these

0:15:40.120 --> 0:15:43.400
<v Speaker 3>data center demands and some of the stuff that's happening

0:15:43.480 --> 0:15:46.400
<v Speaker 3>I think is kind of there's some kind of indiscriminate

0:15:46.760 --> 0:15:50.280
<v Speaker 3>kind of development and people just using them as much

0:15:50.320 --> 0:15:52.560
<v Speaker 3>as they can and so forth. I think it's salesforce.

0:15:52.640 --> 0:15:54.800
<v Speaker 3>We continue to try to do our best to be

0:15:54.840 --> 0:15:57.400
<v Speaker 3>in that zero company, including in the work of our

0:15:57.440 --> 0:16:01.000
<v Speaker 3>AI will deliver about two trillion AIS actions this week.

0:16:01.880 --> 0:16:03.720
<v Speaker 3>You know we've been doing that for about a decade.

0:16:03.800 --> 0:16:07.760
<v Speaker 3>You mentioned Einstein now agent force, and even in development

0:16:07.760 --> 0:16:09.480
<v Speaker 3>of our own models and all of these things, we

0:16:09.520 --> 0:16:13.760
<v Speaker 3>have not had these same exhaustive energy demands. And part

0:16:13.760 --> 0:16:17.440
<v Speaker 3>of that's because of how we operate our own systems.

0:16:18.160 --> 0:16:20.320
<v Speaker 3>But I think for everybody there's probably an opportunity for

0:16:20.360 --> 0:16:21.560
<v Speaker 3>another level of efficiency.

0:16:21.920 --> 0:16:24.520
<v Speaker 2>And what is the solution? Is Is it nuclear? Is

0:16:24.560 --> 0:16:25.760
<v Speaker 2>it fuel cells?

0:16:25.800 --> 0:16:25.880
<v Speaker 3>Like?

0:16:25.920 --> 0:16:29.240
<v Speaker 1>How does the industry catch up to the energy use

0:16:29.240 --> 0:16:30.120
<v Speaker 1>that will be required?

0:16:31.560 --> 0:16:33.480
<v Speaker 3>I think that it's going to How are we going

0:16:33.560 --> 0:16:35.520
<v Speaker 3>to get more energy in the world. I mean, I'm

0:16:35.560 --> 0:16:39.040
<v Speaker 3>not really an energy expert. I'm obviously a huge bowl

0:16:39.120 --> 0:16:42.680
<v Speaker 3>on fusion. I think what Commonwealth Energy is doing is incredible.

0:16:42.720 --> 0:16:44.720
<v Speaker 3>I'm an investor in the company and I hope that

0:16:45.160 --> 0:16:47.520
<v Speaker 3>it's a huge success. And then yes, I also think

0:16:47.920 --> 0:16:52.720
<v Speaker 3>these kind of SMR nuclear modular nuclear plants. I think

0:16:52.720 --> 0:16:55.440
<v Speaker 3>there's a new one just going in Texas for example,

0:16:55.520 --> 0:16:58.480
<v Speaker 3>right now in other places. I mean, if you think

0:16:58.520 --> 0:17:01.000
<v Speaker 3>about it, you know we've run small nuclear for a

0:17:01.040 --> 0:17:05.720
<v Speaker 3>long time. Everyone knows about nuclear submarines or nuclear aircraft carriers, right,

0:17:06.240 --> 0:17:08.800
<v Speaker 3>and that's basically what we're talking about. Why don't we

0:17:08.840 --> 0:17:10.480
<v Speaker 3>just take one of those and just plug it into

0:17:10.480 --> 0:17:13.680
<v Speaker 3>our grid. We just don't think that way. But that's

0:17:13.720 --> 0:17:16.960
<v Speaker 3>all we're really talking about, being able to just use

0:17:17.560 --> 0:17:19.520
<v Speaker 3>the energy that we have in the world that's available

0:17:19.520 --> 0:17:21.600
<v Speaker 3>to us, and deliver in the clean way. I think

0:17:21.760 --> 0:17:23.879
<v Speaker 3>obviously we have to think about the amount of carbon

0:17:23.880 --> 0:17:27.280
<v Speaker 3>we're putting in the atmosphere. It's very significant, not just

0:17:27.320 --> 0:17:30.080
<v Speaker 3>from our emissions, but as you mentioned, the trees. And

0:17:30.119 --> 0:17:31.479
<v Speaker 3>I hate to go back there because I know you

0:17:31.480 --> 0:17:34.080
<v Speaker 3>have it to test for them. But you know, we

0:17:34.160 --> 0:17:36.280
<v Speaker 3>used to have six trillion trees on the planet. Now

0:17:36.280 --> 0:17:38.840
<v Speaker 3>we have less than three trillion. Every trillion trees is

0:17:38.840 --> 0:17:43.080
<v Speaker 3>two hundred gigatons of carbon, so that's six hundred gigatons

0:17:43.119 --> 0:17:48.280
<v Speaker 3>of carbon that we emitted through deforestation. And connecting that

0:17:48.440 --> 0:17:53.520
<v Speaker 3>back to industrialization, we've only admitted about two hundred gigatons

0:17:54.000 --> 0:17:57.800
<v Speaker 3>through all industrializations, so you can see deforestation remains a

0:17:57.880 --> 0:17:58.520
<v Speaker 3>major issue.

0:17:58.560 --> 0:18:00.480
<v Speaker 1>Last question, you could give me a yes, Ordain, you're

0:18:00.600 --> 0:18:00.920
<v Speaker 1>the owner.

0:18:01.000 --> 0:18:02.640
<v Speaker 3>I know we've probably exited the trees now once.

0:18:03.560 --> 0:18:06.000
<v Speaker 1>Well, no, this is actually understand you're the owner of.

0:18:06.000 --> 0:18:07.920
<v Speaker 3>No one's going to accuse you of being the Laura.

0:18:08.080 --> 0:18:11.840
<v Speaker 1>You're the owner of Time magazine, a tree based publication

0:18:12.119 --> 0:18:14.760
<v Speaker 1>at a time where it's very uncomfortable.

0:18:14.119 --> 0:18:15.160
<v Speaker 2>For media owners.

0:18:15.400 --> 0:18:17.520
<v Speaker 1>There were reports that you're going to sell, are you?

0:18:17.640 --> 0:18:20.919
<v Speaker 3>Are you going to There's no deal on the table

0:18:20.960 --> 0:18:23.520
<v Speaker 3>for time, so if that we do sign something, I

0:18:23.520 --> 0:18:24.520
<v Speaker 3>will call you right away.

0:18:25.240 --> 0:18:26.640
<v Speaker 2>Mark Benieff, thank you very much.

0:18:26.680 --> 0:18:27.160
<v Speaker 3>Thank you,