1 00:00:02,520 --> 00:00:08,880 Speaker 1: Bloomberg Audio Studios, Podcasts, Radio News. We go to India next, 2 00:00:08,920 --> 00:00:12,680 Speaker 1: where the Artificial Intelligence Summit is underway. It brings together 3 00:00:12,720 --> 00:00:16,159 Speaker 1: global leaders and tech CEOs, and it was there that 4 00:00:16,200 --> 00:00:20,080 Speaker 1: we caught up with Microsoft President Brad Smith. Smith spoke 5 00:00:20,160 --> 00:00:23,599 Speaker 1: with Bloomberg's Hustlin to Ahman, and their conversation began with 6 00:00:23,640 --> 00:00:25,919 Speaker 1: a question about the growth in AI. 7 00:00:26,360 --> 00:00:29,080 Speaker 2: I do think we need to act with urgency today. 8 00:00:29,720 --> 00:00:32,720 Speaker 2: About a quarter of the population in the global North 9 00:00:33,120 --> 00:00:36,400 Speaker 2: has access to and is using generative AI, but only 10 00:00:36,440 --> 00:00:39,080 Speaker 2: fourteen percent in the global South. And when you look 11 00:00:39,120 --> 00:00:42,800 Speaker 2: at the rates of growth, it's almost double in the 12 00:00:42,800 --> 00:00:45,519 Speaker 2: global North what we're seeing in the South. So just 13 00:00:45,560 --> 00:00:49,919 Speaker 2: as electricity divided the world, the countries that had access 14 00:00:49,960 --> 00:00:53,960 Speaker 2: to it for a century industrialized their grew their economies. 15 00:00:54,320 --> 00:00:58,920 Speaker 2: The countries that lacked access to electricity fell behind. We 16 00:00:59,000 --> 00:01:01,640 Speaker 2: will turn this moment, and I believe, either into a 17 00:01:01,720 --> 00:01:05,520 Speaker 2: moment where we will close this divide. We can use 18 00:01:05,560 --> 00:01:08,680 Speaker 2: AI to really enable the global South to catch up 19 00:01:08,720 --> 00:01:12,600 Speaker 2: in terms of economic growth, or we will continue and 20 00:01:12,680 --> 00:01:17,520 Speaker 2: maybe risk even exacerbating the great economic divide that defines 21 00:01:17,560 --> 00:01:20,080 Speaker 2: our world today. But what's most at risk for the 22 00:01:20,120 --> 00:01:20,839 Speaker 2: global self. 23 00:01:20,959 --> 00:01:23,640 Speaker 3: Is it jobs? Is it jobs getting eliminated reshaped? What 24 00:01:23,760 --> 00:01:25,320 Speaker 3: exactly is the biggest concern? 25 00:01:25,440 --> 00:01:29,800 Speaker 2: I think fundamentally it's economic development. It's prosperity because when 26 00:01:29,800 --> 00:01:33,440 Speaker 2: you have a general purpose technology, meaning something like electricity, 27 00:01:33,480 --> 00:01:38,280 Speaker 2: that reshapes the entire economy, what history tells us is 28 00:01:38,280 --> 00:01:42,360 Speaker 2: that the countries that deploy it adopt it widely grow 29 00:01:42,520 --> 00:01:46,720 Speaker 2: faster than those that do not. So it's about productivity growth, 30 00:01:47,000 --> 00:01:50,280 Speaker 2: it is about job growth. It's about opportunities for a 31 00:01:50,320 --> 00:01:54,600 Speaker 2: new and younger population. It's about opportunities to solve real 32 00:01:54,800 --> 00:01:59,840 Speaker 2: world local problems using the best technology available. Microsoft. 33 00:02:00,000 --> 00:02:03,520 Speaker 3: I'm meeting fifty billion dollars by the end of twenty thirty. 34 00:02:04,000 --> 00:02:07,000 Speaker 3: What would be the priority for that kind of investment 35 00:02:07,040 --> 00:02:07,560 Speaker 3: in funding? 36 00:02:07,840 --> 00:02:11,640 Speaker 2: Well, we at Microsoft made clear we're on pace to 37 00:02:11,680 --> 00:02:14,880 Speaker 2: spend fifty billion dollars by twenty thirty to bring AI 38 00:02:15,000 --> 00:02:18,079 Speaker 2: to the global South. If you think about what happened 39 00:02:18,080 --> 00:02:23,000 Speaker 2: with electricity, private capital did not come to these countries, 40 00:02:23,400 --> 00:02:28,120 Speaker 2: They didn't bring power plants to these countries. This starts, 41 00:02:28,200 --> 00:02:32,080 Speaker 2: I think, actually with investment and capability. So when you 42 00:02:32,080 --> 00:02:35,919 Speaker 2: see a company like Microsoft investing, and we're obviously not alone, 43 00:02:36,480 --> 00:02:40,000 Speaker 2: that's encouraging, especially since the investment is all about world 44 00:02:40,080 --> 00:02:44,160 Speaker 2: leading technology. But it's just a start. I think it's 45 00:02:44,160 --> 00:02:47,880 Speaker 2: going to require a massive amount of funding. It is 46 00:02:47,880 --> 00:02:51,679 Speaker 2: really going to require getting the private markets moving. It's 47 00:02:51,680 --> 00:02:55,160 Speaker 2: going to require governments using AI because they play key 48 00:02:55,240 --> 00:02:58,799 Speaker 2: roles in generating demand and we need to scale the population. 49 00:03:00,120 --> 00:03:04,600 Speaker 2: Requires schools, it requires government, it requires tech companies all 50 00:03:04,639 --> 00:03:07,320 Speaker 2: working together. That's another big part of what we at 51 00:03:07,320 --> 00:03:09,840 Speaker 2: Microsoftware announcing here this week. 52 00:03:10,280 --> 00:03:12,760 Speaker 3: All this happening at a time when a lot of 53 00:03:12,800 --> 00:03:15,600 Speaker 3: people are getting skeptical when it comes to AI. We 54 00:03:15,639 --> 00:03:18,400 Speaker 3: talk about how AI will take away the jobs. We 55 00:03:18,440 --> 00:03:21,520 Speaker 3: talk about how AI is a technology that's actually enriching 56 00:03:22,080 --> 00:03:26,200 Speaker 3: the tech titans. How do you reframe? How should we 57 00:03:26,760 --> 00:03:28,840 Speaker 3: frame the AI story? 58 00:03:29,040 --> 00:03:32,160 Speaker 2: Well, fundamentally, I think we should recognize a few things. 59 00:03:32,919 --> 00:03:38,080 Speaker 2: These kinds of technology waves typically take years and decades, 60 00:03:38,880 --> 00:03:42,920 Speaker 2: not weeks or months. I think we should recognize that 61 00:03:43,120 --> 00:03:45,960 Speaker 2: none of this is fundamentally ever about what technology does 62 00:03:46,000 --> 00:03:50,120 Speaker 2: to people. It's about people making decisions about how to 63 00:03:50,240 --> 00:03:55,200 Speaker 2: use technology. People who run businesses, people who run governments, 64 00:03:55,320 --> 00:03:59,560 Speaker 2: people who run nonprofits. We have an opportunity, I believe, 65 00:04:00,560 --> 00:04:05,160 Speaker 2: to use AI to make jobs better for people. There 66 00:04:05,200 --> 00:04:07,960 Speaker 2: will be some processes that are automated, there will be 67 00:04:08,040 --> 00:04:11,600 Speaker 2: some jobs that are displaced, but new jobs will be created. 68 00:04:11,640 --> 00:04:15,360 Speaker 2: But mostly I think many jobs will change. And the 69 00:04:15,440 --> 00:04:19,400 Speaker 2: key is to give people access to AI tools, give 70 00:04:19,440 --> 00:04:23,080 Speaker 2: them the skills that they need to use them, give 71 00:04:23,320 --> 00:04:27,359 Speaker 2: people the opportunity to innovate in how they work. I 72 00:04:27,400 --> 00:04:30,599 Speaker 2: think when you do that, you create a much better 73 00:04:30,640 --> 00:04:31,960 Speaker 2: foundation for the future. 74 00:04:32,960 --> 00:04:35,800 Speaker 3: Given what you have just expressed, and just wondering how 75 00:04:35,880 --> 00:04:39,000 Speaker 3: that's shaping the way you hire in the countries that 76 00:04:39,760 --> 00:04:41,560 Speaker 3: you do business like India. 77 00:04:42,000 --> 00:04:45,640 Speaker 2: I had a fascinating conversation just the last few days 78 00:04:45,640 --> 00:04:48,360 Speaker 2: in another country, and it was with people in a 79 00:04:48,440 --> 00:04:54,000 Speaker 2: company that had a contest for employees to use AI 80 00:04:54,240 --> 00:04:58,360 Speaker 2: to create new studies to create Let me go back 81 00:04:58,400 --> 00:05:02,599 Speaker 2: to that if I could. I had a fascinating conversation 82 00:05:02,680 --> 00:05:05,560 Speaker 2: earlier this week in another country. Somebody who works in 83 00:05:05,560 --> 00:05:09,720 Speaker 2: a company was describing the contest they had so that 84 00:05:09,839 --> 00:05:14,880 Speaker 2: employees could use AI and create more use cases to 85 00:05:14,920 --> 00:05:19,120 Speaker 2: create uses of AI that advanced productivity or built better products. 86 00:05:19,880 --> 00:05:22,599 Speaker 2: But the most interesting thing this person said to me 87 00:05:23,320 --> 00:05:27,480 Speaker 2: was it wasn't fundamentally about creating a better product it 88 00:05:27,560 --> 00:05:31,560 Speaker 2: was about finding the people who wanted to lean in, 89 00:05:32,080 --> 00:05:37,599 Speaker 2: who wanted to innovate, who had creativity and ambition. I 90 00:05:37,640 --> 00:05:40,840 Speaker 2: think there's something that's important and even inspiring for all 91 00:05:40,880 --> 00:05:45,080 Speaker 2: of us in that give people access to the tools 92 00:05:45,160 --> 00:05:48,480 Speaker 2: to AI see what they can do. If you find 93 00:05:48,520 --> 00:05:52,720 Speaker 2: an employee who wants to innovate, that says that that's 94 00:05:52,760 --> 00:05:55,440 Speaker 2: an innovative person. That's the kind of person you want 95 00:05:55,480 --> 00:05:58,240 Speaker 2: to bet the future of your company on by investing 96 00:05:58,279 --> 00:05:59,760 Speaker 2: in their development. 97 00:05:59,839 --> 00:06:04,360 Speaker 3: An AI future world. Would you be hiring more offer 98 00:06:04,400 --> 00:06:04,960 Speaker 3: you a people? 99 00:06:05,920 --> 00:06:09,440 Speaker 2: I think I might be hiring the same number of people. 100 00:06:10,120 --> 00:06:12,600 Speaker 2: I think they might be doing different things than in 101 00:06:12,640 --> 00:06:16,920 Speaker 2: the past. I do think that entry level work inevitably 102 00:06:17,040 --> 00:06:19,800 Speaker 2: is changing. Instead of coming in and just doing one 103 00:06:19,880 --> 00:06:21,720 Speaker 2: thing and you know, it may be more of the 104 00:06:22,240 --> 00:06:26,760 Speaker 2: basic research or checking of citations or sources. I think 105 00:06:27,080 --> 00:06:30,360 Speaker 2: entry level work may become a little bit more like apprenticeships. 106 00:06:31,040 --> 00:06:33,640 Speaker 2: It may become something where you want people to be 107 00:06:33,720 --> 00:06:37,240 Speaker 2: exposed to multiple different tasks and skills for the first 108 00:06:37,320 --> 00:06:40,880 Speaker 2: year or two. I think this is a great time 109 00:06:41,320 --> 00:06:45,000 Speaker 2: for employers that are far sighted. What do you really 110 00:06:45,000 --> 00:06:47,560 Speaker 2: care about the most? If you're a great employer, when 111 00:06:47,600 --> 00:06:50,800 Speaker 2: you're hiring someone new. Is it somebody who's going to 112 00:06:50,839 --> 00:06:53,880 Speaker 2: do something that needs to get done for the next 113 00:06:53,920 --> 00:06:57,279 Speaker 2: six months but may not be all that demanding, Or 114 00:06:57,279 --> 00:07:00,360 Speaker 2: are you hiring people who are going to be come 115 00:07:00,560 --> 00:07:03,839 Speaker 2: the employees that will lead your firm into the future, 116 00:07:04,160 --> 00:07:07,080 Speaker 2: the people who three and five and ten years from 117 00:07:07,160 --> 00:07:10,960 Speaker 2: now are likely to be sparking the innovation you need. 118 00:07:11,360 --> 00:07:15,400 Speaker 2: That I think is and often should be at the 119 00:07:15,440 --> 00:07:19,360 Speaker 2: heart of what great employers are looking for right now. 120 00:07:19,360 --> 00:07:22,800 Speaker 2: We all know it's a tough job market for people 121 00:07:22,920 --> 00:07:27,800 Speaker 2: graduating from universities, but flip that on its head, it's 122 00:07:27,840 --> 00:07:32,119 Speaker 2: a great time for employers who are far sighted, who 123 00:07:32,200 --> 00:07:35,920 Speaker 2: care about talent, who want to invest in people who 124 00:07:36,000 --> 00:07:38,760 Speaker 2: are going to build the workforce not just for the 125 00:07:38,800 --> 00:07:41,560 Speaker 2: next year, but for the next decade and beyond. I 126 00:07:41,600 --> 00:07:43,840 Speaker 2: think that's what we want to be at Microsoft. I 127 00:07:43,880 --> 00:07:46,880 Speaker 2: think that's what everybody who really has a long term 128 00:07:46,960 --> 00:07:50,040 Speaker 2: vision should aspire to do. And we need to make 129 00:07:50,080 --> 00:07:56,120 Speaker 2: AI and AI tools and AI skills a fundamental ingredient 130 00:07:56,400 --> 00:07:58,960 Speaker 2: for everybody that we hire in that way. 131 00:07:58,920 --> 00:08:01,640 Speaker 3: Brad, don't want to take a look at your Microsoft 132 00:08:01,720 --> 00:08:05,200 Speaker 3: spownership with OpenAI. How do you see that evolving long 133 00:08:05,240 --> 00:08:05,520 Speaker 3: a term. 134 00:08:05,800 --> 00:08:10,160 Speaker 2: Well, I think it remains a critically important partnership for Microsoft. 135 00:08:10,280 --> 00:08:14,560 Speaker 2: We bet on each other, but it's not as exclusive 136 00:08:15,000 --> 00:08:18,239 Speaker 2: as it was, say a few years ago. Open Ai 137 00:08:18,480 --> 00:08:21,640 Speaker 2: uses our compute, they train models in our data centers, 138 00:08:21,640 --> 00:08:25,600 Speaker 2: but they work with other companies as well. We critically 139 00:08:25,640 --> 00:08:30,400 Speaker 2: rely on open AI's frontier models. They are among the best. 140 00:08:30,920 --> 00:08:33,640 Speaker 2: Many days they are the best in the world. But 141 00:08:33,720 --> 00:08:37,400 Speaker 2: we have a relationship with Anthropic. We use open source models, 142 00:08:37,440 --> 00:08:41,720 Speaker 2: we're developing our own models, so on both sides we 143 00:08:41,840 --> 00:08:45,480 Speaker 2: work with more partners. But I think the partnership between 144 00:08:45,559 --> 00:08:48,440 Speaker 2: the two of us remains an imperative. It's a huge 145 00:08:48,440 --> 00:08:50,160 Speaker 2: priority for us at Microsoft. 146 00:08:50,240 --> 00:08:52,400 Speaker 3: The question is why is it a hedge? Is it 147 00:08:52,440 --> 00:08:56,400 Speaker 3: a strategic pivot? How would you describe that move looking 148 00:08:56,480 --> 00:08:58,000 Speaker 3: at alternative. 149 00:08:57,400 --> 00:09:00,319 Speaker 2: Partners Well, look, if you want to think about the 150 00:09:00,640 --> 00:09:03,480 Speaker 2: partnership between open Ai and Microsoft, all you have to 151 00:09:03,520 --> 00:09:07,680 Speaker 2: do is ask one question. Would any of this generative 152 00:09:07,720 --> 00:09:11,480 Speaker 2: AI sector even exist if the two of us had 153 00:09:11,520 --> 00:09:15,720 Speaker 2: not come together. Open Ai created something that no one 154 00:09:15,760 --> 00:09:20,720 Speaker 2: else even understood was possible when they launched chat GPT, 155 00:09:21,440 --> 00:09:25,520 Speaker 2: and open Ai could never have created that without Microsoft's 156 00:09:25,559 --> 00:09:30,600 Speaker 2: compute and really frontier data centers on which to train 157 00:09:30,720 --> 00:09:35,480 Speaker 2: that we built something special. Will each do special things 158 00:09:35,520 --> 00:09:38,640 Speaker 2: on our own, will each do special things with other companies? 159 00:09:39,240 --> 00:09:43,160 Speaker 2: Will each do I think, very special things with each other. 160 00:09:43,880 --> 00:09:46,640 Speaker 3: Just one funnel question, because we're running out of time, apparently, 161 00:09:47,080 --> 00:09:48,920 Speaker 3: copilot Is it losing traction? 162 00:09:49,320 --> 00:09:52,720 Speaker 2: I don't think so. It's gaining ground. It's getting better 163 00:09:52,760 --> 00:09:55,439 Speaker 2: every week, it's getting better every month. I say this 164 00:09:55,640 --> 00:09:59,720 Speaker 2: as a user not just of M three sixty five Copilot, 165 00:09:59,760 --> 00:10:03,440 Speaker 2: but our consumer copilot, our researcher agent, our other agents. 166 00:10:04,120 --> 00:10:09,640 Speaker 2: We're seeing usage grow. We will continue to add features 167 00:10:09,640 --> 00:10:13,760 Speaker 2: and functionality. I personally think it is an important part 168 00:10:13,880 --> 00:10:16,920 Speaker 2: not just a Microsoft's past and present. It is a 169 00:10:17,120 --> 00:10:19,880 Speaker 2: key part of our future. It is a key part 170 00:10:19,960 --> 00:10:24,920 Speaker 2: of I think, making everyone more creative, more productive. I 171 00:10:24,960 --> 00:10:27,800 Speaker 2: certainly find that in my own work each and every day,