1 00:00:00,000 --> 00:00:01,917 Hi, Trevor. >> How are you? It's great seeing you. 2 00:00:02,000 --> 00:00:05,277 Great to meet you. Likewise. Have a seat. 3 00:00:05,360 --> 00:00:06,997 Welcome to Australia. Thank you so much. 4 00:00:07,080 --> 00:00:09,597 It's been fun. We've got lots to talk about. You've made a lot of 5 00:00:09,680 --> 00:00:12,877 announcements. I want to talk about AI, where it's at. I've got some fun things 6 00:00:12,960 --> 00:00:16,597 to show you, but just I want to start by thinking about Microsoft at this 7 00:00:16,680 --> 00:00:18,237 position in time. I was thinking about 8 00:00:18,320 --> 00:00:20,837 it during the week. We went from command 9 00:00:20,920 --> 00:00:24,477 prompt MS-DOS to to Windows 3.11. This 10 00:00:24,560 --> 00:00:28,677 feels like a similar transition, you know, from being a 11 00:00:28,760 --> 00:00:33,557 a software operating system company to being AI first. Is that a a safe 12 00:00:33,640 --> 00:00:35,477 assessment? Yeah, I mean I always sort 13 00:00:35,560 --> 00:00:38,157 of think about Microsoft's core identity 14 00:00:38,240 --> 00:00:41,797 is a platform and a partner company, 15 00:00:41,880 --> 00:00:46,397 right? I mean I look back and, you know, um you know, the anecdote I was sharing 16 00:00:46,480 --> 00:00:50,117 at the keynote even is the first time I was in Sydney doing some demos was, you 17 00:00:50,200 --> 00:00:53,957 know, you're trying to talk about Visual Basic applications inside of Excel that 18 00:00:54,040 --> 00:00:57,837 others can use to build applications, right? I mean that is at the core. So, 19 00:00:57,920 --> 00:01:01,957 even though yes, it is a shift, a massive shift, very different, it may 20 00:01:02,040 --> 00:01:05,517 feel like the internet or um 21 00:01:05,600 --> 00:01:07,077 as you said, the move from DOS to 22 00:01:07,160 --> 00:01:12,557 Windows and maybe bigger even, quite frankly, but the core threadline for me 23 00:01:12,640 --> 00:01:16,597 is how have we enabled others to build more 24 00:01:16,680 --> 00:01:18,637 ambitious things than anything that we 25 00:01:18,720 --> 00:01:23,757 have built, right? That I think is the defining line of Microsoft. It was 26 00:01:23,840 --> 00:01:26,637 interesting listening to your keynote earlier today and there was people 27 00:01:26,720 --> 00:01:29,997 behind me literally saying, "Oh, that's cool." And you know, there those kind of 28 00:01:30,080 --> 00:01:33,837 things under their breath. And that's a crowd of people who work uh 29 00:01:33,920 --> 00:01:37,317 in software and they're they're developing tools. For the average person 30 00:01:37,400 --> 00:01:40,677 in Australia, let alone around the world, is AI something that they should 31 00:01:40,760 --> 00:01:43,597 be worried about or concerned about? 32 00:01:43,680 --> 00:01:48,717 I would say the most important thing for us, you know, collectively, both in the 33 00:01:48,800 --> 00:01:52,517 tech industry but in the broader society, is to make sure that the 34 00:01:52,600 --> 00:01:57,397 benefits of AI are really delivered to everybody, right? Because if we don't, 35 00:01:57,480 --> 00:02:01,597 uh then of course, it's not going to have the social permission. Uh what does 36 00:02:01,680 --> 00:02:03,277 that mean? It means you want to be 37 00:02:03,360 --> 00:02:06,197 really a good users of water and energy 38 00:02:06,280 --> 00:02:09,837 to create uh AI that then is helping 39 00:02:09,920 --> 00:02:14,037 with education outcomes, health outcomes, public sector is becoming more 40 00:02:14,120 --> 00:02:16,837 efficient, uh the companies that are 41 00:02:16,920 --> 00:02:21,077 using AI are becoming more productive, they're driving economic growth that 42 00:02:21,160 --> 00:02:25,517 then is making its way to people's, you know, lives because that's the way 43 00:02:25,600 --> 00:02:29,357 permission is earned, right? Because you I I feel like at this point the 44 00:02:29,440 --> 00:02:33,637 narrative around AI is, you know, such, which I'm glad, where we're talking 45 00:02:33,720 --> 00:02:35,237 about both the benefits and the 46 00:02:35,320 --> 00:02:38,117 unintended consequences versus waiting. 47 00:02:38,200 --> 00:02:40,877 And that debate is a good debate to have 48 00:02:40,960 --> 00:02:45,197 uh versus just indexing on any one of them, right? Because just to say AI is 49 00:02:45,280 --> 00:02:49,357 all about sort of the fear of AI, that won't help because it's inevitable that 50 00:02:49,440 --> 00:02:53,717 this is a secular change. The question is how do we drive that change such that 51 00:02:53,800 --> 00:02:57,597 the benefits really are getting through to everybody. Feels like a secular 52 00:02:57,680 --> 00:02:59,357 change and also a societal change. 53 00:02:59,440 --> 00:03:01,637 That's right. Which also brings up one of the other concerns I think in 54 00:03:01,720 --> 00:03:05,517 society, which is jobs. People One of the most common questions I get when 55 00:03:05,600 --> 00:03:08,797 interviewed about it is, you know, but it's going to take jobs or cost jobs. 56 00:03:08,880 --> 00:03:12,797 How do you answer that to people in in the general public about where jobs are 57 00:03:12,880 --> 00:03:15,637 going to go with AI? >> Yeah, I mean I think the one thing is, 58 00:03:15,720 --> 00:03:20,597 you know, to start with, um I think in recognizing even right now in the state 59 00:03:20,680 --> 00:03:22,517 of AI and quite frankly even for the 60 00:03:22,600 --> 00:03:25,397 foreseeable future is more about what 61 00:03:25,480 --> 00:03:30,397 I'll call task level automation inside of jobs, right? You know, yesterday I 62 00:03:30,480 --> 00:03:34,117 was talking to some uh local Australian startup doing a 63 00:03:34,200 --> 00:03:37,197 fantastic job of building a scribe tool 64 00:03:37,280 --> 00:03:39,317 for doctors. And uh one of the things he 65 00:03:39,400 --> 00:03:42,277 was describing to me was how much it's 66 00:03:42,360 --> 00:03:46,477 benefiting the physi- physicians to by reducing their paperwork burden and 67 00:03:46,560 --> 00:03:47,877 helping them spend more time with 68 00:03:47,960 --> 00:03:50,197 patients, right? So, that's the type of 69 00:03:50,280 --> 00:03:53,837 task that they did that {quote} AI does 70 00:03:53,920 --> 00:03:58,277 so that they can do the real job, which is take care of patients. And that's 71 00:03:58,360 --> 00:04:00,237 happening even in office work, uh right? 72 00:04:00,320 --> 00:04:04,117 When I think about even my own job, right? You know, was I meant to mostly 73 00:04:04,200 --> 00:04:07,117 triage email or can I do 74 00:04:07,200 --> 00:04:09,717 uh things where I can focus my attention 75 00:04:09,800 --> 00:04:12,317 on being able to really get the deep 76 00:04:12,400 --> 00:04:16,837 insights, pass better judgment on things that I need to do so and so on. So, I 77 00:04:16,920 --> 00:04:20,197 think that that's one aspect of it. But at the same time, I'm clear-eyed that 78 00:04:20,280 --> 00:04:23,517 that's why I think even the skills announcement we had, which is about how 79 00:04:23,600 --> 00:04:27,957 do we really make sure that as even new job opportunities get created and maybe 80 00:04:28,040 --> 00:04:32,477 in different forms, we have the skills required to be able to take those jobs. 81 00:04:32,560 --> 00:04:35,517 >> And you've made a big commitment here in Australia to that skilling. That's 82 00:04:35,600 --> 00:04:38,517 right. We have now, you know, committed to, you know, training uh more than 3 83 00:04:38,600 --> 00:04:41,917 million people uh in Australia uh along with obviously 84 00:04:42,000 --> 00:04:45,757 all the other investments we're making around uh the data centers. So, big 85 00:04:45,840 --> 00:04:50,117 investment in skills for Australians and that's coming from Microsoft. Is that Is 86 00:04:50,200 --> 00:04:53,517 there a reason why Australia gets that investment? Is that a a 87 00:04:53,600 --> 00:04:57,077 an endorsement of our our people or our industry? For sure. I mean I mean 88 00:04:57,160 --> 00:05:00,997 Australia is a very important market for us. Um and whenever I think about it, 89 00:05:01,080 --> 00:05:04,797 again, I go back to, you know, as a multinational company, how are we going 90 00:05:04,880 --> 00:05:08,957 to have a license to operate in Australia? It's primarily by making sure 91 00:05:09,040 --> 00:05:12,637 uh that we invest in this country, not only our own people but also our data 92 00:05:12,720 --> 00:05:16,277 centers and we're doing things like skilling and things that we're doing in 93 00:05:16,360 --> 00:05:19,357 cybersecurity with the Signals Directorate. These are all important 94 00:05:19,440 --> 00:05:21,997 investments ultimately to create local 95 00:05:22,080 --> 00:05:24,837 surplus, right? When that startup, when 96 00:05:24,920 --> 00:05:29,077 uh you know, Australian Post can use this in order to be able to, you know, 97 00:05:29,160 --> 00:05:31,757 have accessibility be core to them and 98 00:05:31,840 --> 00:05:34,677 their co-pilot adoption or 99 00:05:34,760 --> 00:05:38,997 um CBA uses it for their customer applications or what have you. And these 100 00:05:39,080 --> 00:05:41,677 are things ultimately that will drive our business. 101 00:05:41,760 --> 00:05:44,157 >> And did you get a sense You obviously met with the Prime Minister to make some 102 00:05:44,240 --> 00:05:47,837 of those announcements. Is Is the Australian government ready for AI? Uh 103 00:05:47,920 --> 00:05:50,717 are you helping them along the way or are they coming to you for help? 104 00:05:50,800 --> 00:05:54,317 >> Well, first of all, I think in Australia, I would say the government is 105 00:05:54,400 --> 00:05:58,597 taken uh really a a progressive uh you know, approach to sort of making 106 00:05:58,680 --> 00:06:02,397 sure that they're thinking about what is the the positives of AI, what are some 107 00:06:02,480 --> 00:06:05,637 of the things that they need to get ahead in terms of whether it's safety or 108 00:06:05,720 --> 00:06:09,437 whether it's around skills um and what have you. And it's fantastic 109 00:06:09,520 --> 00:06:12,077 to see their adoption and thoughtfulness 110 00:06:12,160 --> 00:06:16,677 uh when it comes to AI. Uh and also the human capital in Australia, right? Which 111 00:06:16,760 --> 00:06:21,037 is, as I said, is whether it's in these large-scale multinational companies that 112 00:06:21,120 --> 00:06:25,437 are operating or the startups that are getting born here and not only building 113 00:06:25,520 --> 00:06:27,837 for Australia but for the world, uh the 114 00:06:27,920 --> 00:06:32,477 high ambition here. This is the first time I'd say in the world uh and you see 115 00:06:32,560 --> 00:06:34,037 it in Australia that the rate of 116 00:06:34,120 --> 00:06:39,637 diffusion is such that there's no sort of I would say time lag between what may 117 00:06:39,720 --> 00:06:42,917 be happening on the West Coast of the United States or the East Coast of China 118 00:06:43,000 --> 00:06:46,557 and what's happening in Australia. Now, I want to take a minute. You spent some 119 00:06:46,640 --> 00:06:49,677 time yesterday with a lot of Aussie businesses looking at how they're using 120 00:06:49,760 --> 00:06:53,437 AI. And I think the average Aussie, let alone average person in the world, 121 00:06:53,520 --> 00:06:56,677 thinks of AI as ask a question, get a more thoughtful answer. It's very basic 122 00:06:56,760 --> 00:06:59,877 from a couple of years ago. But there's a thing called agents. You you know all 123 00:06:59,960 --> 00:07:02,837 this, but and you had the Commonwealth Bank talking about how they're using an 124 00:07:02,920 --> 00:07:07,837 agent in in a live chat. So, what I did, I took Copilot Studio and I tried to 125 00:07:07,920 --> 00:07:12,317 create an agent for my family. So, three kids, my wife and I, and I thought about 126 00:07:12,400 --> 00:07:15,957 my busy life, my busy diary, and we have a shared family calendar. So, I wanted 127 00:07:16,040 --> 00:07:17,237 to demonstrate it to you if I could. 128 00:07:17,320 --> 00:07:19,877 >> Cool. Um it's called >> you build it? Well, I used Copilot 129 00:07:19,960 --> 00:07:24,557 Studio and I integrated uh the the Outlook um calendars. And so, we've 130 00:07:24,640 --> 00:07:26,197 called it Charles, our family butler. 131 00:07:26,280 --> 00:07:27,957 So, I'll give you a quick example. 132 00:07:28,040 --> 00:07:30,957 What's my schedule look like on Monday? 133 00:07:31,040 --> 00:07:34,117 And so, basically, it's now going to go and check my personal schedule and see 134 00:07:34,200 --> 00:07:37,677 how busy my day is, but it's also, cuz I've engaged it to always check the 135 00:07:37,760 --> 00:07:40,997 family calendar because I want to know what I'm going to be able to do and how 136 00:07:41,080 --> 00:07:44,157 I'm going to help the family. So, it's looking at my calendar. I think people 137 00:07:44,240 --> 00:07:46,997 need to understand that it's not just reading a calendar, it's trying to 138 00:07:47,080 --> 00:07:49,117 understand the schematics of the day. 139 00:07:49,200 --> 00:07:51,957 And so, now it's giving me a whole output of my day telling me what I've 140 00:07:52,040 --> 00:07:55,957 got on, but by default, it's telling me about the clashes and and problems that 141 00:07:56,040 --> 00:07:59,477 I might have. So, considerations and even making suggestions, "Would you like 142 00:07:59,560 --> 00:08:03,277 me to send Amanda, my wife, a quick note about the netball pickup clash?" But 143 00:08:03,360 --> 00:08:05,877 here, it gets even better. So, what I can also do is say, 144 00:08:05,960 --> 00:08:07,557 "Move my planning meeting to earlier in 145 00:08:07,640 --> 00:08:12,997 the afternoon and let my wife know that I can pick Victoria up for netball." 146 00:08:13,080 --> 00:08:17,557 So, basically now, it's going to change my calendar and it's going to send my 147 00:08:17,640 --> 00:08:21,197 wife an email letting her know that I've now changed my calendar and I can kick 148 00:08:21,280 --> 00:08:24,917 pick up Victoria from netball. So, I know it's a really simple example. 149 00:08:25,000 --> 00:08:28,437 >> a fantastic demo demo. I wish you had gotten you into my keynote and demo 150 00:08:28,520 --> 00:08:33,237 that. Because I think what you just showed is like the pri- First of all, 151 00:08:33,320 --> 00:08:36,957 the pride you have, the sense of empowerment you have that you built this 152 00:08:37,040 --> 00:08:40,677 application just like in the past you may have built an Excel spreadsheet or a 153 00:08:40,760 --> 00:08:44,037 Word document. You just literally created a piece of software. And there's 154 00:08:44,120 --> 00:08:47,517 an agent. There's an email to my wife, which to be honest, probably not 155 00:08:47,600 --> 00:08:49,997 appropriate. I would normally send a text, maybe, but just letting you know 156 00:08:50,080 --> 00:08:53,277 that I've adjusted my meeting so I can pick Victoria up from school on Monday 157 00:08:53,360 --> 00:08:57,597 and take her to netball. So, it's it's a great I feel like is that the next phase 158 00:08:57,680 --> 00:09:02,797 for AI? So, people to see it in real world usage of it? 159 00:09:02,880 --> 00:09:06,597 >> you captured it well, which is what is the output that you care about. In this 160 00:09:06,680 --> 00:09:09,917 case, you you didn't sort of say, "Oh, well, you know, my this coordination 161 00:09:10,000 --> 00:09:12,877 task I have around my family, I want to 162 00:09:12,960 --> 00:09:17,437 basically build an agent agentic system that just does that so that I am not 163 00:09:17,520 --> 00:09:21,917 sending mails or text messages or keeping track mentally." And then the 164 00:09:22,000 --> 00:09:25,997 agent offloads all of that, right? That ability. And that's what CBA is doing, 165 00:09:26,080 --> 00:09:30,317 right? For example, is one the cus- the customer directly is interacting with 166 00:09:30,400 --> 00:09:32,197 the bot they built, uh but then more 167 00:09:32,280 --> 00:09:34,677 interestingly, their own agents are 168 00:09:34,760 --> 00:09:40,397 using agents in order to be able to do the escalation cases with higher 169 00:09:40,480 --> 00:09:43,997 quality, >> Yeah. with less drudgery. And that type 170 00:09:44,080 --> 00:09:45,757 of improvement is what's fantastic. 171 00:09:45,840 --> 00:09:50,597 >> Commonwealth also talked about how it then enabled the human staff to have 172 00:09:50,680 --> 00:09:54,557 more, I guess, insightful information by the time they got to the staff for for 173 00:09:54,640 --> 00:09:56,597 support. >> Exactly. Exactly. And I think that the 174 00:09:56,680 --> 00:10:00,597 you know, the the complexity of some of our products and others inside of an 175 00:10:00,680 --> 00:10:03,957 organization are such that sometimes when even you're on the front lines in 176 00:10:04,040 --> 00:10:09,197 customer service or as a banker even, you want to be able to have this agentic 177 00:10:09,280 --> 00:10:12,517 sort of support that's right at your fingertips, right? 178 00:10:12,600 --> 00:10:14,997 In fact, that is the way you know, you know, we used to have this thing called 179 00:10:15,080 --> 00:10:18,277 information at your fingertips and now going forward it's about agents at your 180 00:10:18,360 --> 00:10:21,677 fingertips that are really helping you be more productive. You also met some 181 00:10:21,760 --> 00:10:25,797 people from Cricket Australia who are using Microsoft Copilot to analyze stats 182 00:10:25,880 --> 00:10:27,797 in real time during cricket matches. 183 00:10:27,880 --> 00:10:29,877 You're a massive cricket fan. That must have been impressive. You've got a 184 00:10:29,960 --> 00:10:33,197 cricket pitch at Microsoft head [laughter] office in Seattle. We do. We 185 00:10:33,280 --> 00:10:36,837 do and it's well used. In fact, I get to overlook it. Uh but yeah, I mean what 186 00:10:36,920 --> 00:10:38,637 Cricket Australia has done is I mean 187 00:10:38,720 --> 00:10:40,597 first of all, you know, cricket is a 188 00:10:40,680 --> 00:10:44,317 very sort of stats rich uh sport and 189 00:10:44,400 --> 00:10:47,877 they were able to take what's been a treasure trove of data that they have 190 00:10:47,960 --> 00:10:50,877 had since 1897 or something like that 191 00:10:50,960 --> 00:10:53,477 and parlay that into now this Cricket 192 00:10:53,560 --> 00:10:58,117 Australia app and they have the stats guru functionality and to be able to 193 00:10:58,200 --> 00:11:02,197 follow along ball by ball where the stats it it's just think about it, 194 00:11:02,280 --> 00:11:03,957 right? You know, it's not you know, that 195 00:11:04,040 --> 00:11:06,317 ability to generate the most interesting 196 00:11:06,400 --> 00:11:10,197 stat relevant to a context of one, you 197 00:11:10,280 --> 00:11:12,157 know, ball. That's just extraordinary. 198 00:11:12,240 --> 00:11:15,797 If we rewind 5 years, I don't think anyone in the general public saw AI 199 00:11:15,880 --> 00:11:20,467 coming. You maybe did um and other other people in business, but I don't I don't 200 00:11:20,550 --> 00:11:23,117 [clears throat] know what the next 3 to 4 years looks looks like. Do you have a 201 00:11:23,200 --> 00:11:28,237 crystal ball of how much more is going to change for average Australians around 202 00:11:28,320 --> 00:11:32,997 the use of AI or what's next? >> Yeah, I think the the speed with which 203 00:11:33,080 --> 00:11:36,517 some of these new capability jumps are happening are pretty stunning and that 204 00:11:36,600 --> 00:11:40,197 to your point was what you know, when I first read even the scaling laws paper, 205 00:11:40,280 --> 00:11:43,797 I felt like wow, this if this happens, this would be really interesting and 206 00:11:43,880 --> 00:11:48,397 it's turned out that it's held that line. Uh but the more 207 00:11:48,480 --> 00:11:52,397 important aspect I think we're reaching now is the models and in fact, people 208 00:11:52,480 --> 00:11:55,637 describe this as the model overhang, right? I think the capabilities are 209 00:11:55,720 --> 00:11:59,397 there. The question now is to be able to harness them. Like that's why I'm more 210 00:11:59,480 --> 00:12:01,677 impressed with your demo than any model 211 00:12:01,760 --> 00:12:03,437 capability, right? Because at the end of 212 00:12:03,520 --> 00:12:06,957 the day, did we all use it do things 213 00:12:07,040 --> 00:12:09,637 that are useful for the outcomes we care 214 00:12:09,720 --> 00:12:12,317 about individually and as organizations 215 00:12:12,400 --> 00:12:17,037 throughout society. And that I think is more going to be the defining thing 216 00:12:17,120 --> 00:12:21,757 about what's the real frontier of this technology. How quickly finally, how 217 00:12:21,840 --> 00:12:24,637 will people know what's real and what's not in the future? I feel like that's a 218 00:12:24,720 --> 00:12:27,917 real concern for people especially with what's happening on the internet. 100%. 219 00:12:28,000 --> 00:12:29,637 I mean, I think the the digital, you 220 00:12:29,720 --> 00:12:33,317 know, the provenance and trust are going 221 00:12:33,400 --> 00:12:35,277 to be the most important aspects, right? 222 00:12:35,360 --> 00:12:38,797 It's not just about deep fakes, but everything, right? For example, when you 223 00:12:38,880 --> 00:12:42,637 have lots and lots of agents, uh that's why I think even what we are 224 00:12:42,720 --> 00:12:45,277 doing with agent 365 as a way to give 225 00:12:45,360 --> 00:12:50,157 organizations that core control plane to you know, have the observability. 226 00:12:50,240 --> 00:12:53,437 And this is the issue with any new technology, right? As the the rapid 227 00:12:53,520 --> 00:12:57,237 adoption comes on the unintended consequences and this time around, we 228 00:12:57,320 --> 00:12:59,117 have to really get ahead, right? Whether 229 00:12:59,200 --> 00:13:01,517 it is about identity, 230 00:13:01,600 --> 00:13:04,317 provenance, security and governance 231 00:13:04,400 --> 00:13:06,877 policies and so that way that we can be 232 00:13:06,960 --> 00:13:08,757 secure about it. Can Australia be an AI 233 00:13:08,840 --> 00:13:11,477 powerhouse? I mean, I think that we 234 00:13:11,560 --> 00:13:14,437 think about AI is more than an 235 00:13:14,520 --> 00:13:18,557 accelerant to the comparative advantage of 236 00:13:18,640 --> 00:13:21,117 countries and companies that already 237 00:13:21,200 --> 00:13:23,317 have that going, right? So in some 238 00:13:23,400 --> 00:13:26,517 sense, AI is not some abstract new thing 239 00:13:26,600 --> 00:13:29,237 that sits outside of what is the rest of 240 00:13:29,320 --> 00:13:31,677 the economy, right? Australia today is a 241 00:13:31,760 --> 00:13:34,757 powerhouse on many fronts and that those 242 00:13:34,840 --> 00:13:38,637 fronts will get more amplified because 243 00:13:38,720 --> 00:13:42,117 of their use of AI and of course, you know, when it comes to even just 244 00:13:42,200 --> 00:13:46,797 generating the startups that, you know, go on to capture large swaths of market 245 00:13:46,880 --> 00:13:49,917 share in different categories can come out of Australia as much as any other 246 00:13:50,000 --> 00:13:53,277 place. I've watched you bounce from place to place over the last 2 days. 247 00:13:53,360 --> 00:13:56,157 You've you're a very busy man. You're you're the you're the boss of one of the 248 00:13:56,240 --> 00:13:59,597 biggest companies in the world. Do you get a chance to just look around Sydney 249 00:13:59,680 --> 00:14:00,797 at any point while you're here? 250 00:14:00,880 --> 00:14:03,557 >> I that is one of my dreams is to just come 251 00:14:03,640 --> 00:14:07,077 here when I'm looking around. But look, it's it's always a pleasure to be able 252 00:14:07,160 --> 00:14:11,157 to come and visit and quite frankly, meet with people. It's energizing to me 253 00:14:11,240 --> 00:14:15,837 to be able to see the demo that you did or the demos from the Commonwealth Bank 254 00:14:15,920 --> 00:14:19,317 or the Cricket Australia and it's always fun. Thanks, Satya. Thanks so much, 255 00:14:19,400 --> 00:14:22,560 Trevor. Thank you. >> Cheers.