1 00:00:03,480 --> 00:00:06,840 Speaker 1: From the heart of where innovation, money and power collive 2 00:00:07,600 --> 00:00:12,119 Speaker 1: in Silicon Valley and beyond. This is Bloomberg Technology with 3 00:00:12,200 --> 00:00:27,840 Speaker 1: Emily Jay. I'm Emily Changing in San Francisco, and this 4 00:00:27,920 --> 00:00:30,640 Speaker 1: is Bloomberg Technology. Coming up. In the next hour, President 5 00:00:30,640 --> 00:00:34,559 Speaker 1: Biden calls Russian President Vladimir Putin a war criminal. This 6 00:00:34,760 --> 00:00:38,479 Speaker 1: as the atrocities in Ukraine mount and Ukraine's President Zelinski 7 00:00:38,880 --> 00:00:42,360 Speaker 1: makes a powerful plea to US Congress and Biden himself 8 00:00:42,680 --> 00:00:44,879 Speaker 1: for more help. We're gonna also take you to the 9 00:00:44,880 --> 00:00:48,120 Speaker 1: front lines of the other war. Russia is waging a 10 00:00:48,200 --> 00:00:53,000 Speaker 1: war on information. Plus, I will speak exclusively with Aaron Levy, 11 00:00:53,080 --> 00:00:56,120 Speaker 1: CEO of Box after the company's investor Day, his thoughts 12 00:00:56,160 --> 00:00:58,520 Speaker 1: on another kind of war happening here on the home front, 13 00:00:58,560 --> 00:01:00,880 Speaker 1: and that is the war for talent. In a rapidly 14 00:01:00,960 --> 00:01:03,520 Speaker 1: evolving work world, the idea of work, of course, has 15 00:01:03,600 --> 00:01:06,520 Speaker 1: changed a lot in the last two years. We're gonna 16 00:01:06,520 --> 00:01:08,640 Speaker 1: break down a top work shifting survey and show you 17 00:01:08,680 --> 00:01:12,600 Speaker 1: how there's no going back to how it used to be. Tuesday, 18 00:01:12,640 --> 00:01:16,000 Speaker 1: an employee of Russia's state Channel one television interrupted the 19 00:01:16,040 --> 00:01:20,880 Speaker 1: main broadcast with a protest against putent invasion of Ukraine saying, 20 00:01:21,240 --> 00:01:25,280 Speaker 1: don't believe the propaganda they're lying to you. This protester 21 00:01:25,680 --> 00:01:29,600 Speaker 1: was later taken into custody find but released and is 22 00:01:29,640 --> 00:01:33,040 Speaker 1: now awaiting an additional penalty. I want to talk more 23 00:01:33,040 --> 00:01:35,600 Speaker 1: about all of this with Joan Donovan, the research director 24 00:01:35,640 --> 00:01:38,560 Speaker 1: at the Harvard Kennis Kennedy School shorn Stein Center on Media, 25 00:01:38,560 --> 00:01:42,800 Speaker 1: Politics and Public Policy, and that woman Joan was able 26 00:01:42,920 --> 00:01:46,559 Speaker 1: to release a video of of some more context why 27 00:01:46,640 --> 00:01:50,840 Speaker 1: she was speaking out before she ultimately made that appearance 28 00:01:51,040 --> 00:01:53,440 Speaker 1: on that main news program. But what she did is 29 00:01:53,560 --> 00:01:57,800 Speaker 1: absolutely incredible and and certainly a major risk. She's been 30 00:01:57,840 --> 00:02:01,120 Speaker 1: released from custody in Russia. Why do you think Putin 31 00:02:01,160 --> 00:02:04,920 Speaker 1: would do that? Well, it's the first major test of 32 00:02:04,960 --> 00:02:09,120 Speaker 1: this new law that was put into practice UM a 33 00:02:09,160 --> 00:02:14,280 Speaker 1: few days ago, essentially saying that reporting about this quote 34 00:02:14,360 --> 00:02:19,280 Speaker 1: unquote special military operation had to use certain words, could 35 00:02:19,360 --> 00:02:23,040 Speaker 1: not use the word war. And so this UM editor 36 00:02:23,160 --> 00:02:26,280 Speaker 1: jumping out on screen she worked at the at the 37 00:02:26,320 --> 00:02:29,840 Speaker 1: TV station. UH is a is a huge deal, and 38 00:02:29,880 --> 00:02:33,480 Speaker 1: the fact that she's been let out is it's strange. 39 00:02:33,520 --> 00:02:37,840 Speaker 1: It's actually propelling a lot of conspiracy theories online where uh, 40 00:02:37,880 --> 00:02:41,119 Speaker 1: you know, people are saying this has managed dissent. As 41 00:02:41,160 --> 00:02:43,960 Speaker 1: long as people feel like there's a voice out there 42 00:02:44,000 --> 00:02:47,560 Speaker 1: advocating against the war, then there's not much that they're 43 00:02:47,560 --> 00:02:50,440 Speaker 1: going to do about it. Um. But I happen to 44 00:02:50,480 --> 00:02:54,399 Speaker 1: think that this was an authentic and real UH cry 45 00:02:54,480 --> 00:02:57,000 Speaker 1: from the media itself that they didn't want to be 46 00:02:57,160 --> 00:03:03,359 Speaker 1: part of this UH war. This information blackout, the digitalizing 47 00:03:03,480 --> 00:03:08,320 Speaker 1: curtain coming down in Russia, the blocking of Facebook and Twitter. 48 00:03:08,639 --> 00:03:11,360 Speaker 1: What does this actually mean for everyday Russian citizens? What 49 00:03:11,560 --> 00:03:14,920 Speaker 1: kind of information are they actually receiving? How many of 50 00:03:14,919 --> 00:03:19,280 Speaker 1: them can actually get around the firewalls and access information 51 00:03:19,280 --> 00:03:24,160 Speaker 1: that is available outside the country. Yeah, it's it's it's burdensome, 52 00:03:24,240 --> 00:03:28,600 Speaker 1: but it's not Uh. They can deal with it. Um. 53 00:03:28,680 --> 00:03:32,960 Speaker 1: What's what's happening is essentially that they still have access 54 00:03:33,000 --> 00:03:37,000 Speaker 1: to UH television and radio, and so there's a large 55 00:03:37,040 --> 00:03:40,760 Speaker 1: amount of state media still on the rails. But with 56 00:03:40,840 --> 00:03:45,440 Speaker 1: the Internet it's different because the media from outside of 57 00:03:45,520 --> 00:03:50,360 Speaker 1: Russia has a difficult time penetrating audiences and getting in 58 00:03:50,480 --> 00:03:54,640 Speaker 1: and so Russians have been um. According to some recent 59 00:03:54,680 --> 00:03:58,480 Speaker 1: reporting and Time magazine, for instance, Russians have been creating 60 00:03:58,560 --> 00:04:01,800 Speaker 1: VPN parties where people get together and learn how to 61 00:04:02,600 --> 00:04:07,280 Speaker 1: circumvent the band so that they can access outside content 62 00:04:07,440 --> 00:04:11,480 Speaker 1: that has been banned by the Russian government. Um. What's 63 00:04:11,520 --> 00:04:15,240 Speaker 1: even more difficult, though, is because of the way that 64 00:04:15,560 --> 00:04:19,520 Speaker 1: platform companies have been acting very unevenly, it's hard to 65 00:04:19,560 --> 00:04:23,960 Speaker 1: tell exactly what kind of content people are seeking out 66 00:04:24,520 --> 00:04:29,000 Speaker 1: and if they are essentially trying to seek out um 67 00:04:29,360 --> 00:04:32,719 Speaker 1: more Russian state media because maybe YouTube was the place 68 00:04:32,760 --> 00:04:36,520 Speaker 1: that they originally were or watching it, or if they're 69 00:04:36,560 --> 00:04:40,119 Speaker 1: reaching out and finding more independent news and are able 70 00:04:40,160 --> 00:04:44,159 Speaker 1: to access uh information about the war that may sway 71 00:04:44,200 --> 00:04:48,320 Speaker 1: their opinion. So to that extent, we've obviously seen video 72 00:04:48,360 --> 00:04:50,880 Speaker 1: of Russians protesting in the streets. What do we know 73 00:04:50,960 --> 00:04:53,920 Speaker 1: about how the vast majority of Russian citizens feel about 74 00:04:54,040 --> 00:04:58,599 Speaker 1: the war? Do they support it or are they against it? Well, 75 00:04:58,839 --> 00:05:02,080 Speaker 1: this is another thing. It's complicated by, uh, you know, 76 00:05:02,200 --> 00:05:06,040 Speaker 1: the the the iron curtain, the digital iron curtain, if 77 00:05:06,040 --> 00:05:10,680 Speaker 1: you will. Uh. Lots of independent media, particularly even the 78 00:05:10,720 --> 00:05:14,760 Speaker 1: New York Times have removed their reporters, and so getting 79 00:05:14,880 --> 00:05:18,400 Speaker 1: a sense of what's happening in the streets is difficult 80 00:05:19,240 --> 00:05:23,840 Speaker 1: absent really deeply searching on social media to find TikTok 81 00:05:24,000 --> 00:05:27,040 Speaker 1: videos um. And you know, you're showing footage of people 82 00:05:27,080 --> 00:05:30,160 Speaker 1: burning their Russian passports that they don't want to be 83 00:05:30,440 --> 00:05:35,479 Speaker 1: citizens uh of Russia, knowing what Russia is doing to Ukraine. 84 00:05:35,520 --> 00:05:40,240 Speaker 1: And so as long as those videos and those the 85 00:05:40,279 --> 00:05:45,080 Speaker 1: content about the protests is circulating, we can imagine the 86 00:05:45,120 --> 00:05:48,160 Speaker 1: momentum is going to grow more and more towards this 87 00:05:48,240 --> 00:05:53,440 Speaker 1: anti war sentiment as unfortunately the death toll rises and 88 00:05:53,480 --> 00:05:56,520 Speaker 1: the damage that's being done to the to the Russian 89 00:05:56,560 --> 00:06:00,040 Speaker 1: economy increases. And so that's how I gauge as a 90 00:06:00,160 --> 00:06:03,280 Speaker 1: sociologist what the temperament of the people are is how 91 00:06:03,279 --> 00:06:05,800 Speaker 1: many people are going out in the streets, how many 92 00:06:05,800 --> 00:06:10,599 Speaker 1: people are getting arrested and uh, with every twist and 93 00:06:10,720 --> 00:06:14,840 Speaker 1: turn of the sanctions, how many more people are willing 94 00:06:14,920 --> 00:06:18,880 Speaker 1: to stand up uh for their own freedoms as well 95 00:06:18,920 --> 00:06:23,120 Speaker 1: as to express this anti war sentiment. How are organizations 96 00:06:23,160 --> 00:06:28,440 Speaker 1: like yours finding and debunking disinformation about the war on Ukraine? 97 00:06:28,720 --> 00:06:30,599 Speaker 1: And I'd like to take it one step further, which 98 00:06:30,640 --> 00:06:35,000 Speaker 1: is why does Russia's disinformation campaign matter to a global citizen? 99 00:06:35,400 --> 00:06:37,800 Speaker 1: Why does it matter to someone who isn't in the 100 00:06:37,920 --> 00:06:41,680 Speaker 1: country and not necessarily on their direct receiving end of that. Well, 101 00:06:41,720 --> 00:06:44,120 Speaker 1: the the y is a big deal for us, which 102 00:06:44,160 --> 00:06:47,480 Speaker 1: is why we do this work, which is essentially, UH 103 00:06:48,040 --> 00:06:51,080 Speaker 1: we believe on our team and UM, I think being 104 00:06:51,120 --> 00:06:54,359 Speaker 1: an academic, I believe that humans have a right to 105 00:06:54,400 --> 00:06:56,640 Speaker 1: access the truth. And I believe that if you were 106 00:06:56,680 --> 00:06:59,680 Speaker 1: to search on a platform for you know, did the 107 00:06:59,680 --> 00:07:02,680 Speaker 1: hall cost happen, you shouldn't get a bunch of anti 108 00:07:02,720 --> 00:07:07,080 Speaker 1: Semitic websites and posts. You should actually get content that 109 00:07:07,240 --> 00:07:12,600 Speaker 1: is going to UH satiate that need for information. And 110 00:07:12,640 --> 00:07:16,480 Speaker 1: so when we go out and look for UH disinformation, 111 00:07:17,240 --> 00:07:19,600 Speaker 1: one of the things that we look for is essentially 112 00:07:19,640 --> 00:07:23,120 Speaker 1: what is a hot button issue that has the potential 113 00:07:23,200 --> 00:07:26,760 Speaker 1: to be polarized, and then we look on either side 114 00:07:26,760 --> 00:07:30,480 Speaker 1: of the issue and try to assess First and foremost, 115 00:07:30,520 --> 00:07:32,880 Speaker 1: we look for is there any what we would call 116 00:07:32,920 --> 00:07:38,320 Speaker 1: digital shenanigans going on and their bought networks, questionable engagements, 117 00:07:38,640 --> 00:07:43,880 Speaker 1: UH lots of seemingly to be is spanning accounts participating. 118 00:07:44,000 --> 00:07:48,000 Speaker 1: So that's like the low level easy stuff to spot. 119 00:07:48,480 --> 00:07:51,360 Speaker 1: And then as we start to look at very well 120 00:07:51,440 --> 00:07:55,280 Speaker 1: crafted propaganda campaigns, especially the ones that come out of Russia, 121 00:07:56,040 --> 00:08:00,400 Speaker 1: we see them across every platform. They're not on a 122 00:08:00,480 --> 00:08:04,360 Speaker 1: single platform. They're very well spread out, but they tend 123 00:08:04,440 --> 00:08:08,080 Speaker 1: to have a kernel of the same messaging and they 124 00:08:08,240 --> 00:08:11,520 Speaker 1: sometimes will use a very particular word that it kind 125 00:08:11,520 --> 00:08:14,080 Speaker 1: of comes out of nowhere. Like for instance, at the 126 00:08:14,120 --> 00:08:17,080 Speaker 1: beginning of the war, people had heard the term denazification, 127 00:08:17,520 --> 00:08:21,560 Speaker 1: and that was a very strange word, and so UM 128 00:08:21,880 --> 00:08:24,000 Speaker 1: we looked into that and saw that there were different 129 00:08:24,000 --> 00:08:28,680 Speaker 1: propaganda networks trying to make that uh, that idea that 130 00:08:28,720 --> 00:08:33,640 Speaker 1: putin was going into Ukraine to denazify Ukraine. UM. You know, 131 00:08:33,720 --> 00:08:35,560 Speaker 1: the different networks that you were trying to make that 132 00:08:35,640 --> 00:08:38,319 Speaker 1: happen and why it was not a very successful one. 133 00:08:38,720 --> 00:08:41,760 Speaker 1: Another one that we would look at in particular is 134 00:08:41,880 --> 00:08:44,600 Speaker 1: we're always keeping an eye on things like bio labs 135 00:08:44,720 --> 00:08:48,200 Speaker 1: or bioweapons because of the way in which those words 136 00:08:48,240 --> 00:08:53,360 Speaker 1: were contorted during UM the pandemic, and of course we're 137 00:08:53,360 --> 00:08:57,240 Speaker 1: still in it. But sometimes if you pay attention to 138 00:08:57,320 --> 00:09:01,040 Speaker 1: disinformation long enough, it's in a path earn and so 139 00:09:01,160 --> 00:09:03,880 Speaker 1: we often see the same tropes come back again and 140 00:09:03,920 --> 00:09:07,560 Speaker 1: the same actors come back, and so with the bio 141 00:09:07,640 --> 00:09:11,440 Speaker 1: lab one. Over the past few days, we've been hearing 142 00:09:11,440 --> 00:09:14,880 Speaker 1: that the US and Ukraine have been colluding to build 143 00:09:15,240 --> 00:09:19,960 Speaker 1: biological weapons together. Of course that's UH something that you know, 144 00:09:20,679 --> 00:09:24,800 Speaker 1: people of roundly UH debunked. But at the same time 145 00:09:25,360 --> 00:09:30,840 Speaker 1: it becomes a really important source of UH animosity and confusion, 146 00:09:31,080 --> 00:09:35,440 Speaker 1: and and it can lead to demoralization. UH. You know 147 00:09:35,559 --> 00:09:37,800 Speaker 1: of people that would be in support of ending the 148 00:09:37,840 --> 00:09:41,680 Speaker 1: war feeling as if maybe there's there's something worth um, 149 00:09:41,920 --> 00:09:44,520 Speaker 1: you know, there's something that Russia might be onto here. 150 00:09:45,120 --> 00:09:49,000 Speaker 1: And so I think the last thing I'll say on 151 00:09:49,080 --> 00:09:52,240 Speaker 1: this is that, you know, truth needs an advocate, and 152 00:09:52,320 --> 00:09:58,240 Speaker 1: so our work is that that work. Joan. We're grateful 153 00:09:58,320 --> 00:10:01,560 Speaker 1: for your work to get us to the truth. Thank 154 00:10:01,600 --> 00:10:03,800 Speaker 1: you for breaking down some of these really complex issues, 155 00:10:03,880 --> 00:10:07,800 Speaker 1: Joan Donovan, research director at the Harvard Kennedy School Shorenstein Center. 156 00:10:08,040 --> 00:10:19,680 Speaker 1: Appreciate your time helping students achieve their dreams. That's the 157 00:10:19,760 --> 00:10:22,600 Speaker 1: ultimate goal of the new fintech company Moss by re 158 00:10:22,760 --> 00:10:26,720 Speaker 1: event imagining banking for gen Z and helping students overcome 159 00:10:26,720 --> 00:10:29,560 Speaker 1: financial barriers to pursue higher education. This as we come 160 00:10:29,600 --> 00:10:33,160 Speaker 1: out hopefully of a two year pandemic that has greatly 161 00:10:33,240 --> 00:10:37,360 Speaker 1: impacted young people's schooling and their mental health. I want 162 00:10:37,360 --> 00:10:39,120 Speaker 1: to talk about all of this and more with founder 163 00:10:39,160 --> 00:10:42,880 Speaker 1: and CEO Amira ya Yowe. Amira, thank you so much 164 00:10:43,520 --> 00:10:46,120 Speaker 1: for joining us. You're such a fascinating personal story, and 165 00:10:46,160 --> 00:10:48,400 Speaker 1: I want to start there with what drove you to 166 00:10:48,440 --> 00:10:51,199 Speaker 1: found your company. You were a leader of the Arab 167 00:10:51,320 --> 00:10:55,200 Speaker 1: Spring in Tunisia. You fled to Paris, you couldn't get 168 00:10:55,200 --> 00:10:59,320 Speaker 1: a college degree yourself, and that's what led you to 169 00:10:59,760 --> 00:11:02,320 Speaker 1: the Can you talk a little bit about your background 170 00:11:02,720 --> 00:11:08,240 Speaker 1: and your own experience with social movements? Yeah? Absolutely, Emily, 171 00:11:08,280 --> 00:11:12,079 Speaker 1: thank you for having me. You know, unfortunately a year 172 00:11:12,120 --> 00:11:14,920 Speaker 1: ago my story was not that common. It's becoming very 173 00:11:15,000 --> 00:11:19,400 Speaker 1: common now. It was happening in Ukraine. UM, every every 174 00:11:19,400 --> 00:11:22,760 Speaker 1: global crisis ends up with young people losing their chance 175 00:11:22,840 --> 00:11:26,160 Speaker 1: to a normal life, and that is also higher education. 176 00:11:26,840 --> 00:11:30,800 Speaker 1: Millions of people are actually fleeing to Europe. I was 177 00:11:30,840 --> 00:11:35,280 Speaker 1: one of those students ten years ago. UM. The difference 178 00:11:35,600 --> 00:11:38,800 Speaker 1: is in my case there was no UM. I would 179 00:11:38,800 --> 00:11:43,520 Speaker 1: say like popular um, popular interests. What was happening in Tunisia? 180 00:11:43,960 --> 00:11:46,560 Speaker 1: And so I was an illegal immigrant in France. I 181 00:11:46,600 --> 00:11:49,079 Speaker 1: was not allowed to get a higher education. It is 182 00:11:49,120 --> 00:11:51,880 Speaker 1: the case of most European countries. As an illegal immigrants 183 00:11:51,880 --> 00:11:54,400 Speaker 1: are not allowed to education. I hope Ukraine new students 184 00:11:54,720 --> 00:11:58,920 Speaker 1: will have access to it. I UM, that was obviously 185 00:11:59,040 --> 00:12:02,600 Speaker 1: like the trigger of part of Moss. But the big 186 00:12:02,640 --> 00:12:06,680 Speaker 1: trigger from us is to help everyone get access to 187 00:12:06,760 --> 00:12:10,120 Speaker 1: opportunity and to dignity, and that through our app that 188 00:12:10,200 --> 00:12:14,720 Speaker 1: helps students get higher education, get an education, go to 189 00:12:14,840 --> 00:12:19,080 Speaker 1: college with the less loans, we actually help them get 190 00:12:19,120 --> 00:12:23,240 Speaker 1: free money. Right now, you said on Twitter you lost 191 00:12:23,280 --> 00:12:26,720 Speaker 1: a friend in the war on Ukraine, and you also 192 00:12:26,800 --> 00:12:29,280 Speaker 1: say this isn't the first time you've lost a friend 193 00:12:29,400 --> 00:12:32,439 Speaker 1: to war, but at this time it feels different. Can 194 00:12:32,480 --> 00:12:38,160 Speaker 1: you explain why. Yes, it feels different because it feels 195 00:12:38,200 --> 00:12:42,439 Speaker 1: like it could have been avoided. UM. It is um, 196 00:12:42,600 --> 00:12:46,720 Speaker 1: we know how horrible is put in. UM. I am 197 00:12:46,760 --> 00:12:49,400 Speaker 1: now worried about friends that I have a Ukraine, but 198 00:12:49,440 --> 00:12:51,920 Speaker 1: I'm also worried about friends that I have in Russia 199 00:12:51,960 --> 00:12:57,240 Speaker 1: will also get crushed by the regime. UM. And the 200 00:12:57,240 --> 00:13:00,880 Speaker 1: thing is that the whole world knew about how horribles 201 00:13:00,960 --> 00:13:04,200 Speaker 1: put in, how far he could go, and we waited, 202 00:13:04,400 --> 00:13:08,200 Speaker 1: We waited way too much. UM. I was listening to 203 00:13:08,240 --> 00:13:13,160 Speaker 1: the Lenski and it feels, it feels, it feels lonely 204 00:13:13,280 --> 00:13:17,240 Speaker 1: to be part of their being crop of Europe, but 205 00:13:17,400 --> 00:13:21,920 Speaker 1: at the same time left alone. Now there are three 206 00:13:21,960 --> 00:13:25,240 Speaker 1: million people who have fled Ukraine, many of them are 207 00:13:25,360 --> 00:13:28,320 Speaker 1: young people. How do you think what you've created with 208 00:13:28,400 --> 00:13:32,560 Speaker 1: Mosque could help some of these? Absolutely, they have to 209 00:13:32,640 --> 00:13:35,520 Speaker 1: start over, They have to start over and pursue their 210 00:13:35,559 --> 00:13:38,920 Speaker 1: dreams elsewhere. They may never get to go home. Absolutely, 211 00:13:38,960 --> 00:13:43,360 Speaker 1: I mean they are. They will be needing a lot 212 00:13:43,360 --> 00:13:47,200 Speaker 1: of support to get an education. Um. We we are 213 00:13:47,240 --> 00:13:50,840 Speaker 1: helping students in the US. I hope the US will 214 00:13:50,960 --> 00:13:57,880 Speaker 1: join the efforts of locating and welcoming refugees from Ukraine 215 00:13:57,960 --> 00:14:01,400 Speaker 1: and all the refugees actually in the world. UM. And 216 00:14:01,880 --> 00:14:04,160 Speaker 1: through that, you know, we do have we do have 217 00:14:04,200 --> 00:14:06,920 Speaker 1: students who don't have access to education in the US 218 00:14:07,000 --> 00:14:11,559 Speaker 1: and be treated as a second category citizens in this country, 219 00:14:11,640 --> 00:14:16,120 Speaker 1: like the Dakas students. We do have a ton of 220 00:14:16,160 --> 00:14:19,200 Speaker 1: students who don't come from maybe a wealthy background. They 221 00:14:19,280 --> 00:14:22,720 Speaker 1: who didn't have access to understanding that education is within 222 00:14:22,840 --> 00:14:25,880 Speaker 1: reach or don't have access to that. So with MOSS, 223 00:14:25,880 --> 00:14:29,280 Speaker 1: our goal is to make the dream of higher education 224 00:14:29,320 --> 00:14:33,880 Speaker 1: accessible to everyone. Uh in the US and hopefully soon outside. 225 00:14:35,040 --> 00:14:38,160 Speaker 1: All right, well, we'll be following your progress Loss founder 226 00:14:38,200 --> 00:14:40,160 Speaker 1: and CEO, I'm your a I owe thank you for 227 00:14:40,200 --> 00:14:51,680 Speaker 1: sharing your story with us. A few other stories were watching. 228 00:14:51,680 --> 00:14:55,240 Speaker 1: Amazon is one unconditional approval from the European Union for 229 00:14:55,400 --> 00:14:58,600 Speaker 1: it's planned by MGM for eight point four or four 230 00:14:58,720 --> 00:15:01,880 Speaker 1: or five billion dollars. That deal coming as Amazon faces 231 00:15:01,880 --> 00:15:05,840 Speaker 1: increasing pressure to acquire more programming in the very competitive 232 00:15:05,840 --> 00:15:08,680 Speaker 1: streaming market, and retail sales growth in the U S 233 00:15:08,680 --> 00:15:11,600 Speaker 1: slowing last month is suggesting that consumers are pulling back 234 00:15:11,680 --> 00:15:15,040 Speaker 1: spending in some categories as inflation cuts into buying power. 235 00:15:15,560 --> 00:15:18,560 Speaker 1: Overall sales rose three tents of a percent, but if 236 00:15:18,600 --> 00:15:22,800 Speaker 1: you factor out gas station sales actually fell two tenths 237 00:15:23,040 --> 00:15:25,840 Speaker 1: of a percent. Coming up, I'll be joined by the 238 00:15:25,840 --> 00:15:28,560 Speaker 1: CEO of Box, Aron Levy, and exclusive interview fresh off 239 00:15:28,560 --> 00:15:31,720 Speaker 1: the company's investor day, how he plans to hope to 240 00:15:31,800 --> 00:15:34,920 Speaker 1: keep beating Wall Street expectations, and his thoughts on the 241 00:15:34,920 --> 00:15:37,800 Speaker 1: future of work and the war for talent that is next. 242 00:15:37,960 --> 00:16:01,480 Speaker 1: This is Bloomberg. Welcome back to Bloomore Technology and lead 243 00:16:01,520 --> 00:16:04,240 Speaker 1: changing in San Francisco. Box What are the leading content 244 00:16:04,280 --> 00:16:08,120 Speaker 1: cloud providers? Just finished its annual analyst day. The company 245 00:16:08,240 --> 00:16:13,440 Speaker 1: estimates double digit revenue growth, which may surprise some investors. 246 00:16:13,440 --> 00:16:16,440 Speaker 1: Other software companies which were growing quickly during the pandemic 247 00:16:16,440 --> 00:16:19,760 Speaker 1: are kind of now struggling to maintain that momentum. Joining 248 00:16:19,760 --> 00:16:22,320 Speaker 1: me now the CEO of Box, Aaron Levy. Aaron, good 249 00:16:22,320 --> 00:16:24,440 Speaker 1: to have you back here on the show. Talk to 250 00:16:24,520 --> 00:16:27,680 Speaker 1: us about your outlook here. You're outperforming the streets expectations 251 00:16:27,720 --> 00:16:32,840 Speaker 1: four quarters in a row. What do you attribute this to? Yeah, 252 00:16:32,840 --> 00:16:35,600 Speaker 1: so thanks Emily for having me. Um. Overall, there's sort 253 00:16:35,600 --> 00:16:39,080 Speaker 1: of three big mega trends that that enterprises are dealing 254 00:16:39,120 --> 00:16:41,880 Speaker 1: with right now. The first is the continued push toward 255 00:16:42,000 --> 00:16:45,480 Speaker 1: hybrid work. The second is everything is going digital first, 256 00:16:45,840 --> 00:16:47,680 Speaker 1: even as we come back into offices and as the 257 00:16:47,720 --> 00:16:50,000 Speaker 1: world starts to open up a bit more. And then finally, 258 00:16:50,000 --> 00:16:54,120 Speaker 1: cybersecurity challenges and compliance risks are at the center of 259 00:16:54,120 --> 00:16:57,080 Speaker 1: what every organization is facing today. So when you think 260 00:16:57,080 --> 00:16:59,880 Speaker 1: about those three big mega trends, um the way that 261 00:17:00,040 --> 00:17:03,760 Speaker 1: companies work with their content, that these are their financial documents, 262 00:17:03,760 --> 00:17:07,480 Speaker 1: their contracts, their marketing assets, their most important and sensitive 263 00:17:07,520 --> 00:17:10,880 Speaker 1: intellectual property, and their enterprise. Um all of the ways 264 00:17:10,920 --> 00:17:13,840 Speaker 1: that companies work with that content needs to be shifted 265 00:17:13,840 --> 00:17:15,680 Speaker 1: and changed to be able to support those three big 266 00:17:15,720 --> 00:17:18,520 Speaker 1: trends of people being able to work and collaborate from anywhere, 267 00:17:18,680 --> 00:17:21,480 Speaker 1: being able to automate workflows around content, be able to 268 00:17:21,560 --> 00:17:24,400 Speaker 1: keep it protected and secure. And so we're fortunate because 269 00:17:24,440 --> 00:17:27,359 Speaker 1: we've been building a platform for now over fifteen years 270 00:17:27,600 --> 00:17:30,000 Speaker 1: to build the leading way that companies can manage and 271 00:17:30,040 --> 00:17:32,680 Speaker 1: secure and govern their most sensitive and important data in 272 00:17:32,680 --> 00:17:35,760 Speaker 1: the enterprise UM and UH. And that's what has both 273 00:17:35,880 --> 00:17:38,639 Speaker 1: you know, allowed us to deliver four quarters of accelerating 274 00:17:38,680 --> 00:17:41,560 Speaker 1: revenue growth last year. UH and we believe you know, 275 00:17:41,600 --> 00:17:44,080 Speaker 1: many many years to come as as we put our 276 00:17:44,119 --> 00:17:47,960 Speaker 1: new three year guidance or target model. Just this afternoon. 277 00:17:48,640 --> 00:17:51,800 Speaker 1: You fought off a pretty bitter proxy battle at the 278 00:17:51,800 --> 00:17:54,320 Speaker 1: height of the pandemic, and I'm curious what impact that's 279 00:17:54,760 --> 00:17:59,840 Speaker 1: had on you. Has it influenced strategy and how you 280 00:18:00,040 --> 00:18:03,879 Speaker 1: map out and predict future growth? Yeah? So, UH, you know, 281 00:18:03,920 --> 00:18:07,520 Speaker 1: at the start of our our kind of activist journey, UM, 282 00:18:07,600 --> 00:18:11,439 Speaker 1: we UH you know, partnered with UH with with UH 283 00:18:11,560 --> 00:18:14,760 Speaker 1: you know our investors UH generally and UH and laid 284 00:18:14,760 --> 00:18:18,440 Speaker 1: out more UM aggressive both top line and bottom line 285 00:18:18,440 --> 00:18:22,239 Speaker 1: targets UH to UH to really drive the future of 286 00:18:22,240 --> 00:18:24,600 Speaker 1: the company, and I'm really proud of how the team 287 00:18:24,640 --> 00:18:26,520 Speaker 1: and the company delivered on those targets in the past 288 00:18:26,560 --> 00:18:29,200 Speaker 1: couple of years, especially last year. I think going forward, 289 00:18:29,240 --> 00:18:32,240 Speaker 1: you're going to see us take a very um you know, 290 00:18:32,280 --> 00:18:35,200 Speaker 1: I think UM you know, strategic look at how we 291 00:18:35,320 --> 00:18:37,400 Speaker 1: drive growth in the future. You're gonna see our multi 292 00:18:37,480 --> 00:18:41,120 Speaker 1: product strategy and our content cloud portfolio really driving our 293 00:18:41,119 --> 00:18:43,159 Speaker 1: growth rates in the future. At the same time, we 294 00:18:43,160 --> 00:18:46,000 Speaker 1: think profit um and driving increased profitability is going to 295 00:18:46,080 --> 00:18:48,399 Speaker 1: be important. It has allowed us UH to build a 296 00:18:48,480 --> 00:18:51,600 Speaker 1: much more durable financial model that certainly in this market, 297 00:18:51,640 --> 00:18:53,560 Speaker 1: is UM I think holding up very well and that 298 00:18:53,600 --> 00:18:55,320 Speaker 1: will continue to be the case over the next few 299 00:18:55,400 --> 00:18:59,400 Speaker 1: years and beyond. Now we've been talking a lot about 300 00:18:59,400 --> 00:19:01,639 Speaker 1: the war for town. You and I spoke at almost 301 00:19:01,640 --> 00:19:04,240 Speaker 1: the beginning of the pandemic, and you acknowledge it's going 302 00:19:04,280 --> 00:19:05,800 Speaker 1: to be hard to get people to come back to 303 00:19:05,840 --> 00:19:09,359 Speaker 1: the office at all, especially engineers. And I'm curious what 304 00:19:09,400 --> 00:19:11,480 Speaker 1: you're seeing. I know, you're just starting to reopen your 305 00:19:11,480 --> 00:19:14,400 Speaker 1: offices across the country. Do people want to come back, 306 00:19:14,520 --> 00:19:18,040 Speaker 1: are they actually coming back? And how is the working 307 00:19:18,040 --> 00:19:23,199 Speaker 1: world going to forever be changed by what we have experienced. Yeah, No, 308 00:19:23,320 --> 00:19:26,160 Speaker 1: the world is fully changed. There is no going back 309 00:19:26,200 --> 00:19:30,159 Speaker 1: to kind of pre ways of working. That being said, uh, 310 00:19:30,200 --> 00:19:32,280 Speaker 1: there's a lot of demand both within you know box 311 00:19:32,359 --> 00:19:34,520 Speaker 1: and certainly you know pure companies that we talked to 312 00:19:34,680 --> 00:19:37,359 Speaker 1: for for those that that live in your offices to 313 00:19:37,600 --> 00:19:41,399 Speaker 1: come back in occasionally um or more frequently depending on 314 00:19:41,400 --> 00:19:43,639 Speaker 1: the individual, UM as a means of being able to 315 00:19:43,680 --> 00:19:45,919 Speaker 1: see colleagues in person and be able to kind of 316 00:19:45,920 --> 00:19:48,119 Speaker 1: catch up and and do some of their some of 317 00:19:48,119 --> 00:19:50,320 Speaker 1: their work in person, whether it's a you know, brainstorm 318 00:19:50,400 --> 00:19:52,640 Speaker 1: or in a conference room, or even you know, being 319 00:19:52,640 --> 00:19:54,640 Speaker 1: able to continue to work um, you know, in their 320 00:19:54,880 --> 00:19:58,360 Speaker 1: in their you know um uh you know traditional environment. Uh. 321 00:19:58,440 --> 00:20:01,960 Speaker 1: That being said, we know that that hybrid work is 322 00:20:02,000 --> 00:20:04,199 Speaker 1: the future. So things are not gonna look like they 323 00:20:04,200 --> 00:20:06,320 Speaker 1: were you know two years ago, where everybody kind of 324 00:20:06,320 --> 00:20:08,600 Speaker 1: came into the office every you know, you know, day, 325 00:20:09,119 --> 00:20:11,160 Speaker 1: five days a week. At the same time, I think 326 00:20:11,320 --> 00:20:14,400 Speaker 1: things will be uh not as remote only as they 327 00:20:14,400 --> 00:20:15,919 Speaker 1: have been in the past two years. And so the 328 00:20:15,960 --> 00:20:19,320 Speaker 1: future is hybrid. Uh. And at the center of enabling 329 00:20:19,320 --> 00:20:23,000 Speaker 1: a hybrid strategy is cloud technology and and being digital 330 00:20:23,040 --> 00:20:25,840 Speaker 1: first and how you operate and So for us, that's 331 00:20:25,840 --> 00:20:28,320 Speaker 1: gonna mean that more of our meetings continue to be 332 00:20:28,359 --> 00:20:31,760 Speaker 1: fully virtual. That's gonna mean that we continue to stitch 333 00:20:31,840 --> 00:20:35,439 Speaker 1: together the work that we're doing globally um using the cloud, 334 00:20:35,440 --> 00:20:37,879 Speaker 1: whether you're coming into an office or working remotely. And 335 00:20:37,920 --> 00:20:39,280 Speaker 1: I think that's going to be the case for most 336 00:20:39,280 --> 00:20:42,360 Speaker 1: companies going forward, and and certainly as a platform provider, 337 00:20:42,760 --> 00:20:44,440 Speaker 1: we think that's going to create a huge opportunity for 338 00:20:44,520 --> 00:20:46,960 Speaker 1: us to innovate for customers in this uh in this 339 00:20:47,000 --> 00:20:49,399 Speaker 1: new hybrid workplace where you want to be able to 340 00:20:49,440 --> 00:20:52,760 Speaker 1: share and collaborate on your most important digital information, whether 341 00:20:52,760 --> 00:20:55,280 Speaker 1: you're doing that from home or doing that in an office. UM. 342 00:20:55,280 --> 00:20:58,320 Speaker 1: And that's obviously the platform that we're building out now. 343 00:20:58,640 --> 00:21:00,919 Speaker 1: The question is how hybrid is work world going to be? 344 00:21:00,960 --> 00:21:03,520 Speaker 1: San Francisco, for example, some people say it's a ghost town. 345 00:21:03,600 --> 00:21:06,639 Speaker 1: I saw a raccoon walking down the sidewalk in the 346 00:21:06,640 --> 00:21:09,480 Speaker 1: middle of San Francisco in the middle of the day. 347 00:21:09,920 --> 00:21:13,520 Speaker 1: True story, like I saw that. I saw that raccoon 348 00:21:13,560 --> 00:21:19,040 Speaker 1: before the vandemic. But does San Francisco recover? Does it? 349 00:21:19,280 --> 00:21:22,080 Speaker 1: Do we do we get back to the vibrant city 350 00:21:22,119 --> 00:21:25,280 Speaker 1: filled with tech workers that it was before. Yeah, it's interesting. 351 00:21:25,359 --> 00:21:27,400 Speaker 1: So I live in the peninsula, so I can't. Um, 352 00:21:27,440 --> 00:21:29,280 Speaker 1: you know, I'm not the best proxy for the latest 353 00:21:29,320 --> 00:21:32,639 Speaker 1: goings in San Francisco. I was there last week and 354 00:21:32,840 --> 00:21:35,959 Speaker 1: at least outdoors. Um, to me, it felt pretty similar 355 00:21:36,000 --> 00:21:38,080 Speaker 1: to uh, you know, to how things have looked in 356 00:21:38,119 --> 00:21:40,200 Speaker 1: the past few years, even before the pandemic goes. You know, 357 00:21:40,240 --> 00:21:42,639 Speaker 1: a lot of a lot of bustling around the around 358 00:21:42,640 --> 00:21:45,200 Speaker 1: the city. But that being said, office buildings are clearly 359 00:21:45,280 --> 00:21:47,600 Speaker 1: not a capacity. People are not coming back into the 360 00:21:47,600 --> 00:21:49,760 Speaker 1: office every single day. Um. And that does have a 361 00:21:49,840 --> 00:21:52,000 Speaker 1: you know, probably an impact at some point on the 362 00:21:52,240 --> 00:21:54,119 Speaker 1: on the field of the city. Um. You know. So 363 00:21:54,160 --> 00:21:57,320 Speaker 1: I can't. I can't predict what SF specifically is gonna 364 00:21:57,320 --> 00:22:00,360 Speaker 1: look like. What I do know is the future's hybrid um. 365 00:22:00,480 --> 00:22:04,480 Speaker 1: Different companies, different cultures, different teams, and different individuals will 366 00:22:04,520 --> 00:22:07,360 Speaker 1: likely land on on a different cadence or rhythm as 367 00:22:07,400 --> 00:22:08,840 Speaker 1: to how often they want to come back into an 368 00:22:08,880 --> 00:22:11,960 Speaker 1: office or be fully remote. Um. And so I think 369 00:22:12,400 --> 00:22:14,800 Speaker 1: we're gonna all have to get used to UM. Not 370 00:22:14,920 --> 00:22:17,280 Speaker 1: thinking of this as sort of a you know, a 371 00:22:17,400 --> 00:22:20,399 Speaker 1: binary outcome of either fully remote or you're fully in person, 372 00:22:20,480 --> 00:22:23,080 Speaker 1: but instead one where you know, things are going to 373 00:22:23,119 --> 00:22:24,960 Speaker 1: be hybrid and companies are going to exist on a 374 00:22:24,960 --> 00:22:28,040 Speaker 1: continuum UM around how much of their work is is 375 00:22:28,080 --> 00:22:30,680 Speaker 1: done you know, remotely or fully digitally, and how much 376 00:22:30,760 --> 00:22:33,160 Speaker 1: is done in person. But no matter what, UM, ultimately 377 00:22:33,160 --> 00:22:34,520 Speaker 1: you're gonna need to be able to stitch that work 378 00:22:34,520 --> 00:22:37,320 Speaker 1: together using the cloud UM. And that is a guarantee 379 00:22:37,359 --> 00:22:40,320 Speaker 1: for the future. How concerned are you, Aaron about the 380 00:22:40,400 --> 00:22:45,080 Speaker 1: macro economic outlook right now given a war happening on 381 00:22:45,080 --> 00:22:48,199 Speaker 1: the other side of the world but impacting everyone in 382 00:22:48,240 --> 00:22:52,680 Speaker 1: the world. Yeah, I mean we're we're an interconnected in 383 00:22:52,760 --> 00:22:56,160 Speaker 1: a society and economy and UM. And obviously the the 384 00:22:56,160 --> 00:22:59,560 Speaker 1: the uh, you know, the invasion of Ukraine is isn't 385 00:22:59,720 --> 00:23:02,600 Speaker 1: uh you know, a huge tragedy obviously on a human 386 00:23:03,040 --> 00:23:05,160 Speaker 1: uh you know kind of life, and the impact level UM, 387 00:23:05,160 --> 00:23:09,119 Speaker 1: it obviously does ripple uh you know, economically throughout the world. UM. 388 00:23:09,160 --> 00:23:11,520 Speaker 1: You know, to varying degrees, probably based on the industry 389 00:23:11,520 --> 00:23:13,720 Speaker 1: that you're in. UM. And I'd say it's probably too 390 00:23:13,720 --> 00:23:16,040 Speaker 1: soon to sort of try and model or predict anything 391 00:23:16,080 --> 00:23:18,640 Speaker 1: about what that looks like. UM. But right now our 392 00:23:18,680 --> 00:23:22,400 Speaker 1: focus is you know, anybody UM at box with Ukrainian 393 00:23:22,400 --> 00:23:25,400 Speaker 1: relatives or that's impacted directly by this. Just making sure 394 00:23:25,440 --> 00:23:28,400 Speaker 1: that they're in a good spot to the extent possible 395 00:23:28,560 --> 00:23:31,320 Speaker 1: and uh and that that's sort of our focus. But um, 396 00:23:31,359 --> 00:23:33,240 Speaker 1: you know, I think it's it's premature to sort of 397 00:23:33,280 --> 00:23:34,960 Speaker 1: try and try and model too much of the long 398 00:23:35,040 --> 00:23:38,840 Speaker 1: term economic impact of this. Okay, Aaron Levy, thanks for 399 00:23:38,920 --> 00:23:41,480 Speaker 1: joining us today on your analyst day. I always appreciate 400 00:23:41,560 --> 00:23:46,920 Speaker 1: having you on THEO of box By now taken on Amazon. 401 00:23:47,040 --> 00:23:49,840 Speaker 1: That is a focus of Insta cart CEO c g 402 00:23:49,960 --> 00:23:53,600 Speaker 1: CMO as the grocery delivery embarks at a massive transformation 403 00:23:53,640 --> 00:23:57,080 Speaker 1: that she wants to drive. She Mo spoke exclusively with 404 00:23:57,160 --> 00:23:59,640 Speaker 1: me for our latest edition of Bloomberg Studio One point, Oh, 405 00:23:59,760 --> 00:24:05,399 Speaker 1: to listen. We want to help our grocers of all 406 00:24:05,440 --> 00:24:08,560 Speaker 1: of the technologies they need in order to compete with Amazon. 407 00:24:08,880 --> 00:24:12,640 Speaker 1: To your point, Amazon is investing very heavily in grocery 408 00:24:12,720 --> 00:24:15,399 Speaker 1: and they have a ton of technological abilities, and that 409 00:24:15,520 --> 00:24:17,760 Speaker 1: was a big part of why in my first week 410 00:24:17,800 --> 00:24:20,959 Speaker 1: in the job, I decided to acquire a keeper and 411 00:24:21,160 --> 00:24:23,760 Speaker 1: which is a smart card technology, because I want all 412 00:24:23,800 --> 00:24:25,600 Speaker 1: of the grocers we work with is to have the 413 00:24:25,720 --> 00:24:29,600 Speaker 1: same edge that Amazon has, and so I see I 414 00:24:29,640 --> 00:24:32,119 Speaker 1: see it as my responsibility to build all of the 415 00:24:32,200 --> 00:24:35,680 Speaker 1: technologies that they need to compete with Amazon so that 416 00:24:35,720 --> 00:24:39,520 Speaker 1: we can busy and for for them. Then there's Uber 417 00:24:39,600 --> 00:24:41,760 Speaker 1: and door Dash and Go Puff and Go outside of 418 00:24:41,760 --> 00:24:43,640 Speaker 1: the United States, and the list goes on. How does 419 00:24:43,680 --> 00:24:46,760 Speaker 1: instaccar stand out from all of these different players that 420 00:24:46,800 --> 00:24:49,360 Speaker 1: are competing for a piece of that pine. These players 421 00:24:49,480 --> 00:24:53,840 Speaker 1: fundamentally compete with our grocers. They want to attack the 422 00:24:53,960 --> 00:24:58,640 Speaker 1: market by being first body retailer owning the numentory. And 423 00:24:58,720 --> 00:25:03,040 Speaker 1: so that's another approach at all approaches really building technology 424 00:25:03,080 --> 00:25:05,880 Speaker 1: and fulfshom and to help all grocers. The second thing 425 00:25:05,920 --> 00:25:10,240 Speaker 1: is that displayers are very focused on one particular piece 426 00:25:10,280 --> 00:25:12,920 Speaker 1: of the market, which is quick commerce. And while that's 427 00:25:12,960 --> 00:25:16,439 Speaker 1: really important and we've certainly seen our own convenience business 428 00:25:16,600 --> 00:25:20,440 Speaker 1: double in the last six months, we actually address all 429 00:25:20,480 --> 00:25:22,720 Speaker 1: of the needs that consumers have. We are not just 430 00:25:22,840 --> 00:25:26,000 Speaker 1: quick commerce. Were also the weekly shop. Were also your 431 00:25:26,040 --> 00:25:30,360 Speaker 1: monthly bulk stock up. And that's what we tailers want now. Inevitably, 432 00:25:30,760 --> 00:25:34,720 Speaker 1: after I interview you or Dark Lubert Tony Shoe at 433 00:25:34,760 --> 00:25:37,920 Speaker 1: door Dash, I will get feedback on social media from 434 00:25:37,920 --> 00:25:41,800 Speaker 1: shoppers and drivers who are not happy. Um one insta 435 00:25:41,840 --> 00:25:44,639 Speaker 1: cart shopper posted a picture of an order show they 436 00:25:44,680 --> 00:25:48,600 Speaker 1: delivered fifty one items, got paid seven dollars and not tip. 437 00:25:49,240 --> 00:25:52,920 Speaker 1: Is that representative? No, that's very much not representative. And 438 00:25:53,280 --> 00:25:56,920 Speaker 1: I think you know, fundamentally, shoppers care about their earnings. 439 00:25:56,960 --> 00:26:00,639 Speaker 1: They really want flexible earnings whenever all they want to, 440 00:26:01,040 --> 00:26:03,399 Speaker 1: and so our job is to make sure that they 441 00:26:03,400 --> 00:26:06,080 Speaker 1: have more access to work. So what is representative? What 442 00:26:06,280 --> 00:26:09,080 Speaker 1: is a normal wage for a delivery like that? We're 443 00:26:09,200 --> 00:26:13,399 Speaker 1: very much in line with kind of industry average for 444 00:26:13,680 --> 00:26:16,439 Speaker 1: these kinds of jobs. And so that's something that we 445 00:26:16,520 --> 00:26:19,360 Speaker 1: always try to kind of nudge the consumer of like, hey, 446 00:26:19,400 --> 00:26:21,600 Speaker 1: your shopper did a really good job, can can you 447 00:26:21,680 --> 00:26:24,520 Speaker 1: keep a little more? What if they don't though, right, 448 00:26:24,640 --> 00:26:27,440 Speaker 1: I mean that you're leaving it up to the customer. 449 00:26:27,560 --> 00:26:30,080 Speaker 1: We actually and some customers think, well you should build 450 00:26:30,080 --> 00:26:33,760 Speaker 1: this into your price, Well, we actually do, and and 451 00:26:33,920 --> 00:26:37,479 Speaker 1: we make it very transparent to the shopper before they 452 00:26:37,480 --> 00:26:40,480 Speaker 1: accept an order. What's the order is going to look like, 453 00:26:40,560 --> 00:26:42,760 Speaker 1: how much we're going to pay them and how much 454 00:26:43,080 --> 00:26:45,639 Speaker 1: like the consumer is paying them, and so they can 455 00:26:45,760 --> 00:26:47,680 Speaker 1: decide whether they take an order or whether else they 456 00:26:47,720 --> 00:26:50,040 Speaker 1: refuse it. And that's the kind of flexibility that our 457 00:26:50,080 --> 00:26:53,560 Speaker 1: shoppers really value and the kind of transparency that they want. 458 00:26:53,720 --> 00:26:56,600 Speaker 1: Are you seeing a labor shortage right now and what 459 00:26:56,640 --> 00:27:00,800 Speaker 1: are you doing to combat that? It's different in different places, 460 00:27:01,000 --> 00:27:04,760 Speaker 1: or demographic of shoppers is completely different from food delivery 461 00:27:04,840 --> 00:27:08,879 Speaker 1: and are right sharing where seven women and half of 462 00:27:08,920 --> 00:27:11,359 Speaker 1: them are moms. And that's because a lot of the 463 00:27:11,480 --> 00:27:14,240 Speaker 1: job at instacost is very different than just being in 464 00:27:14,240 --> 00:27:16,960 Speaker 1: the car with strangers. It's about like going to the 465 00:27:17,000 --> 00:27:20,399 Speaker 1: store doing a good job of customer service, of really 466 00:27:20,440 --> 00:27:23,400 Speaker 1: picking the right products for the consumer, and we are 467 00:27:23,400 --> 00:27:26,760 Speaker 1: seeing that being very appealing to women. The instant delivery 468 00:27:26,760 --> 00:27:29,040 Speaker 1: space or you know, fifteen minute delivery space, is that 469 00:27:29,119 --> 00:27:31,960 Speaker 1: something that you want to double down on. It's something 470 00:27:32,040 --> 00:27:35,240 Speaker 1: that we absolutely want to offer because again, we really 471 00:27:35,280 --> 00:27:38,359 Speaker 1: think that our customers want the full range of option. 472 00:27:38,720 --> 00:27:41,520 Speaker 1: Fiften met delivery is not going to be relevant for everything. 473 00:27:41,560 --> 00:27:43,720 Speaker 1: I mean, it's going to be very relevant on Thursday 474 00:27:43,760 --> 00:27:46,840 Speaker 1: night when I'm craving chocolate ice cream and I it's 475 00:27:46,920 --> 00:27:50,879 Speaker 1: really an emergency when that happens, So like cooking over me, 476 00:27:51,480 --> 00:27:54,560 Speaker 1: You've made some strategic acquisitions, as you've mentioned. What about 477 00:27:54,680 --> 00:27:58,679 Speaker 1: in the rapid delivery space, Joker Gorilla, No, we haven't, 478 00:27:58,800 --> 00:28:02,560 Speaker 1: and the main reason is because all of these players 479 00:28:02,760 --> 00:28:07,080 Speaker 1: are doing very much first party grocery, so that means 480 00:28:07,080 --> 00:28:11,280 Speaker 1: the ornamentory uh, and so it's not it's not something 481 00:28:11,320 --> 00:28:13,879 Speaker 1: that's interesting to us because our approach is really build 482 00:28:13,920 --> 00:28:18,000 Speaker 1: the infrastructure so that our grocers can do uh certain 483 00:28:18,040 --> 00:28:21,360 Speaker 1: minute delivery or fifte minute delivery, whereas uh, these players 484 00:28:21,359 --> 00:28:24,359 Speaker 1: are doing it kind of on their own bypassing the grocers. 485 00:28:24,560 --> 00:28:27,880 Speaker 1: Do you think retailers trust you? Do they trust insta Car? 486 00:28:28,640 --> 00:28:30,600 Speaker 1: So you know, when I when I took out the job, 487 00:28:31,000 --> 00:28:34,480 Speaker 1: I was surprised by the strength of our retailer relationships. 488 00:28:34,480 --> 00:28:37,320 Speaker 1: But there was always this kind of lingering questions that 489 00:28:37,400 --> 00:28:40,800 Speaker 1: retailers had for me, which was, you know, what are 490 00:28:40,840 --> 00:28:43,720 Speaker 1: your long term intentions? Are you planning on becoming a 491 00:28:43,760 --> 00:28:45,760 Speaker 1: retailer at some point? And I had to kind of 492 00:28:45,760 --> 00:28:49,200 Speaker 1: address that head on and explain to them in great 493 00:28:49,280 --> 00:28:52,600 Speaker 1: detail why you would make no sense for us to 494 00:28:52,640 --> 00:28:54,880 Speaker 1: really go in that direction and why we were going 495 00:28:54,880 --> 00:28:57,920 Speaker 1: to be able to build a much bigger company if 496 00:28:57,960 --> 00:29:04,040 Speaker 1: we just focused on what work Dot you can catch 497 00:29:04,080 --> 00:29:07,240 Speaker 1: more of my exclusive conversation with instat cart CEO Fiji Semo, 498 00:29:07,320 --> 00:29:10,600 Speaker 1: where we talk about the impact of inflation on food prices, 499 00:29:11,120 --> 00:29:14,400 Speaker 1: her move from Meta and working with Mark Zuckerberg, and 500 00:29:14,440 --> 00:29:17,800 Speaker 1: her journey from a small fishing town in France to 501 00:29:17,960 --> 00:29:20,720 Speaker 1: becoming the head of instat Card. All that on the 502 00:29:20,800 --> 00:29:24,440 Speaker 1: latest episode of Studio one Point Oh. Coming up is 503 00:29:24,440 --> 00:29:27,200 Speaker 1: the n f T fad Losing Steed, how n f 504 00:29:27,240 --> 00:29:30,320 Speaker 1: T sales have fallen and what it means for those 505 00:29:30,600 --> 00:29:43,320 Speaker 1: making a living off them. Next, n f T sales 506 00:29:43,400 --> 00:29:48,320 Speaker 1: had a breakthrough year, with volume hitting twenty three billion 507 00:29:48,360 --> 00:29:51,120 Speaker 1: dollars in the last twelve months, but sales are now 508 00:29:51,280 --> 00:29:54,040 Speaker 1: plunging amid the ongoing sell off and cryptocurrencies. I want 509 00:29:54,040 --> 00:29:56,320 Speaker 1: to dig into this with our crypto contributor for our 510 00:29:56,360 --> 00:29:58,760 Speaker 1: Crypto reportion Ali Bostic. So there's a lot of people 511 00:29:58,800 --> 00:30:02,880 Speaker 1: trying to make money earnings off the n f T industry, Shinali. 512 00:30:02,920 --> 00:30:04,680 Speaker 1: What does this mean for them? Yeah, there's a few 513 00:30:04,720 --> 00:30:06,520 Speaker 1: things here, Emily. First, we have to look at just 514 00:30:06,640 --> 00:30:08,760 Speaker 1: how much the trading has dropped off, and if you 515 00:30:08,760 --> 00:30:10,760 Speaker 1: take a look at this chart here, there was this 516 00:30:10,880 --> 00:30:13,520 Speaker 1: humongous boom according to data from n f T GO, 517 00:30:13,840 --> 00:30:17,680 Speaker 1: and then a significant drop off this year. In January, 518 00:30:17,720 --> 00:30:21,000 Speaker 1: according to non Fungible dot Com, n FT weekly sales 519 00:30:21,080 --> 00:30:24,440 Speaker 1: peaked at nearly a billion dollars and now the past 520 00:30:24,520 --> 00:30:28,480 Speaker 1: week that is less than seventy million dollars, so less 521 00:30:28,480 --> 00:30:31,000 Speaker 1: than one tenth of the weekly sales we've been seeing 522 00:30:31,040 --> 00:30:33,240 Speaker 1: In January. You asked what it means for people who 523 00:30:33,240 --> 00:30:36,040 Speaker 1: are getting paid in this market. So if you're somebody 524 00:30:36,080 --> 00:30:38,440 Speaker 1: who had moved over this story that we had written 525 00:30:38,480 --> 00:30:41,920 Speaker 1: about Spotify and musicians earnings going from three hundred dollars 526 00:30:41,920 --> 00:30:45,760 Speaker 1: to sixty thousand dollars, Remember the price of ethereum from 527 00:30:45,760 --> 00:30:48,960 Speaker 1: a year ago has also declined significantly. In addition to 528 00:30:49,280 --> 00:30:52,880 Speaker 1: sales just dropping off, it has recovered a little bit 529 00:30:52,880 --> 00:30:54,680 Speaker 1: this year, and if you look by market cap it 530 00:30:54,680 --> 00:30:57,120 Speaker 1: has really held up quite a bit as far as 531 00:30:57,120 --> 00:31:00,000 Speaker 1: the market goes. But remember this market still is dominant. 532 00:31:00,120 --> 00:31:03,320 Speaker 1: Did buy a lot of whales, really ten of the 533 00:31:03,360 --> 00:31:08,400 Speaker 1: buyer's accounting for the market here. So why our n 534 00:31:08,440 --> 00:31:10,960 Speaker 1: f T s dropping off, I mean, doesn't have anything 535 00:31:11,000 --> 00:31:13,520 Speaker 1: to do with the macro environment. Yeah, that's a really 536 00:31:13,600 --> 00:31:16,040 Speaker 1: interesting question, because of course we've seen the volatility and 537 00:31:16,120 --> 00:31:19,200 Speaker 1: so many of the cryptocurrencies that we track. But if 538 00:31:19,240 --> 00:31:20,880 Speaker 1: you look at it, I'm going to see a little 539 00:31:20,880 --> 00:31:24,200 Speaker 1: bit here from investor Lee Drogan because he points out 540 00:31:24,280 --> 00:31:27,760 Speaker 1: what we were just showing, that idea that traders trading 541 00:31:27,840 --> 00:31:30,800 Speaker 1: volumes have really fallen off, and what he says is 542 00:31:30,840 --> 00:31:34,240 Speaker 1: that until the volume and retail investors come back, prices 543 00:31:34,280 --> 00:31:36,400 Speaker 1: are not going to go up as well. One thing 544 00:31:36,480 --> 00:31:38,880 Speaker 1: he points to is eight coin and a market that 545 00:31:38,920 --> 00:31:41,360 Speaker 1: can potentially hold up prices for a few days. Whether 546 00:31:41,400 --> 00:31:44,360 Speaker 1: that will really start to bring people back only alright, 547 00:31:44,400 --> 00:31:47,800 Speaker 1: Shinali Bostic, thank you for that update. We're gonna keep 548 00:31:47,800 --> 00:31:59,920 Speaker 1: following on that one, appreciating as more and more comp 549 00:32:00,000 --> 00:32:02,360 Speaker 1: these bring employees back to the office, many are saying, 550 00:32:02,880 --> 00:32:05,280 Speaker 1: I don't think so. A brand new survey by Microsoft 551 00:32:05,320 --> 00:32:08,120 Speaker 1: It's Work Trend Index finds that even more employees are 552 00:32:08,120 --> 00:32:11,120 Speaker 1: considering quitting their jobs this year then last, and then 553 00:32:11,160 --> 00:32:15,520 Speaker 1: more than half of younger workers are contemplating a job change. 554 00:32:15,560 --> 00:32:17,960 Speaker 1: For more on this and the future of work, Jared 555 00:32:18,000 --> 00:32:23,080 Speaker 1: Pitaro Spataro is here, Microsoft's vice president for Modern Work. Jared, 556 00:32:23,080 --> 00:32:24,440 Speaker 1: thank you so much for joining us. So why do 557 00:32:24,480 --> 00:32:29,000 Speaker 1: you think the great resignation is in fact accelerating rather 558 00:32:29,080 --> 00:32:33,000 Speaker 1: than slowing down. Well, you know, the survey data tells 559 00:32:33,080 --> 00:32:35,160 Speaker 1: us that we're just not the same people who went 560 00:32:35,200 --> 00:32:38,320 Speaker 1: home to work in March. Of what's happened over the 561 00:32:38,320 --> 00:32:39,920 Speaker 1: course of the last two years is that people have 562 00:32:39,960 --> 00:32:42,320 Speaker 1: changed in really significant ways. In one of those ways 563 00:32:42,440 --> 00:32:45,600 Speaker 1: is how they think about work. Flexibility has become something 564 00:32:45,640 --> 00:32:48,120 Speaker 1: that's so important to them that they're telling us that 565 00:32:48,200 --> 00:32:50,400 Speaker 1: they are willing to give up other things, including a 566 00:32:50,400 --> 00:32:52,240 Speaker 1: move to a new job, in order to get it. 567 00:32:53,440 --> 00:32:56,520 Speaker 1: What's the biggest mistake companies are make wriking making right 568 00:32:56,560 --> 00:32:59,640 Speaker 1: now as they try to get workers to come back. Well, 569 00:32:59,680 --> 00:33:01,720 Speaker 1: the thing jumped out to me in the survey data. 570 00:33:01,960 --> 00:33:04,440 Speaker 1: When we asked leaders what they were planning to do 571 00:33:04,480 --> 00:33:07,000 Speaker 1: in this return to office, over fifty of them told 572 00:33:07,080 --> 00:33:09,239 Speaker 1: us that they were going to have their employees come 573 00:33:09,240 --> 00:33:12,200 Speaker 1: back full time, five days a week, no flexibility. And 574 00:33:12,240 --> 00:33:15,680 Speaker 1: that contrast with over seventy of workers who say that 575 00:33:15,760 --> 00:33:18,560 Speaker 1: flexibility is something that they treasure, that they want to 576 00:33:18,560 --> 00:33:20,960 Speaker 1: make sure it is the part that they keep coming 577 00:33:20,960 --> 00:33:23,320 Speaker 1: out of the pandemic. So we see some tension being 578 00:33:23,360 --> 00:33:25,320 Speaker 1: set up here that's going to need to be worked 579 00:33:25,320 --> 00:33:27,800 Speaker 1: out over the coming weeks and months. How do they 580 00:33:27,840 --> 00:33:31,840 Speaker 1: work that out? I see talk about managers being wedged 581 00:33:31,920 --> 00:33:36,200 Speaker 1: between the boss and their own teams. That's right, Yeah, 582 00:33:36,240 --> 00:33:37,920 Speaker 1: we do think that managers are going to be the 583 00:33:38,040 --> 00:33:40,240 Speaker 1: key here. You know. The thing that we're findings we 584 00:33:40,320 --> 00:33:42,360 Speaker 1: go and combine all the data points from the research 585 00:33:42,360 --> 00:33:43,880 Speaker 1: and get down and do kind of what we call 586 00:33:43,960 --> 00:33:47,080 Speaker 1: qualitative work, is that the most practical thing you can 587 00:33:47,080 --> 00:33:49,640 Speaker 1: do is encourage your managers to be working with their 588 00:33:49,640 --> 00:33:52,560 Speaker 1: employees and talking through what we call individual and team agreements. 589 00:33:52,600 --> 00:33:55,200 Speaker 1: In other words, Hey, how's flexibility going to play out 590 00:33:55,200 --> 00:33:56,640 Speaker 1: for you? What does it mean? And can we find 591 00:33:56,640 --> 00:33:59,160 Speaker 1: a win win here here at Microsoft. We've done that recently. 592 00:33:59,160 --> 00:34:01,360 Speaker 1: We found that over nine pcent of people who have 593 00:34:01,440 --> 00:34:03,840 Speaker 1: those conversations said that they were able to reach an 594 00:34:03,880 --> 00:34:06,040 Speaker 1: agreement that really worked very well for them. So we've 595 00:34:06,040 --> 00:34:08,399 Speaker 1: got some data that indicates that this can be done. 596 00:34:08,840 --> 00:34:10,359 Speaker 1: You just have to make sure you take the time 597 00:34:10,360 --> 00:34:12,799 Speaker 1: to do it. How's the return to work going at 598 00:34:12,800 --> 00:34:16,440 Speaker 1: Microsoft so far? Well, we are in the process of 599 00:34:16,480 --> 00:34:18,600 Speaker 1: doing that. We've declared here in the Puget Sound the 600 00:34:18,640 --> 00:34:20,760 Speaker 1: Seattle area that we'll be heading back to our final 601 00:34:20,840 --> 00:34:25,000 Speaker 1: stage of flexible work what we call this flexibility stage 602 00:34:25,520 --> 00:34:28,160 Speaker 1: on March. So this month is a big month for 603 00:34:28,280 --> 00:34:30,920 Speaker 1: us UM many of our managers, though I've already had 604 00:34:30,920 --> 00:34:33,239 Speaker 1: those conversations and we feel like, you know, we're set up. 605 00:34:33,280 --> 00:34:35,239 Speaker 1: We're gonna learn just like everybody else. Though there's a 606 00:34:35,239 --> 00:34:37,640 Speaker 1: lot to learn here. It's a very dynamic time. Now, 607 00:34:37,640 --> 00:34:40,319 Speaker 1: there's a big question about the future of emerging technologies 608 00:34:40,360 --> 00:34:43,360 Speaker 1: in the workplace. A lot of talk about the metaverse. Obviously, 609 00:34:43,480 --> 00:34:46,640 Speaker 1: Mark Zuckerberg meta has one vision. Microsoft is working on 610 00:34:46,680 --> 00:34:51,560 Speaker 1: products to take companies to the metaverse. Do employees want 611 00:34:51,560 --> 00:34:55,600 Speaker 1: to work in the metaverse? Well, we asked them that 612 00:34:55,680 --> 00:34:58,160 Speaker 1: it's kind of interesting when we ask the employees about 613 00:34:58,200 --> 00:35:01,279 Speaker 1: the metaverse. Of employees that they didn't even know what 614 00:35:01,320 --> 00:35:04,160 Speaker 1: the metaverse was, but fifty two per cents, so that 615 00:35:04,200 --> 00:35:07,239 Speaker 1: they were open to this idea of using digital immersive 616 00:35:07,280 --> 00:35:10,320 Speaker 1: spaces in the metaverse from meetings and team activities in 617 00:35:10,360 --> 00:35:12,600 Speaker 1: the next year. So we've got this sense that there 618 00:35:12,640 --> 00:35:14,760 Speaker 1: still is a lot to be figured out in the metaverse. 619 00:35:14,800 --> 00:35:16,960 Speaker 1: But let's say just a little over half of people 620 00:35:16,960 --> 00:35:19,960 Speaker 1: are pretty open to being able to use the technology. 621 00:35:20,040 --> 00:35:22,480 Speaker 1: So as we look over the next year, what do 622 00:35:22,480 --> 00:35:25,320 Speaker 1: you think the biggest pain points are going to be, 623 00:35:25,320 --> 00:35:27,400 Speaker 1: Because you know, I talked to a lot of people 624 00:35:27,800 --> 00:35:32,120 Speaker 1: they don't want to go back or they're reevaluating. Well again, 625 00:35:32,160 --> 00:35:34,640 Speaker 1: I think it comes back to this idea of employee 626 00:35:34,680 --> 00:35:38,640 Speaker 1: expectations and comparing those two employer expectations. I think that's 627 00:35:38,640 --> 00:35:40,680 Speaker 1: going to be where we find the friction. If I 628 00:35:40,719 --> 00:35:42,239 Speaker 1: just give you a sense of how people who is 629 00:35:42,280 --> 00:35:45,160 Speaker 1: going to have to compromise the employees are the employers. 630 00:35:45,800 --> 00:35:47,719 Speaker 1: You know, it depends on the market, and today it's 631 00:35:47,719 --> 00:35:50,239 Speaker 1: an employees market, we would say, And so I think 632 00:35:50,239 --> 00:35:52,759 Speaker 1: that employers are gonna learn a lot here um as 633 00:35:52,800 --> 00:35:56,880 Speaker 1: employee as employees kind of talk about how important flexibility is. 634 00:35:56,920 --> 00:35:59,600 Speaker 1: And you know, you cited a stat earlier it's fifty 635 00:35:59,640 --> 00:36:02,399 Speaker 1: two send of gen zs and millennials say that they're 636 00:36:02,440 --> 00:36:04,279 Speaker 1: willing to move over the next year if they don't 637 00:36:04,320 --> 00:36:07,120 Speaker 1: get the flexibility they need. So I think that gives 638 00:36:07,160 --> 00:36:09,200 Speaker 1: you a sense at least for where the employees are 639 00:36:09,239 --> 00:36:13,160 Speaker 1: in their minds. All right, check it out Microsoft's latest 640 00:36:13,160 --> 00:36:17,280 Speaker 1: work Trends report. Fascinating stuff that you uncovered. Jared Spitaro 641 00:36:17,840 --> 00:36:20,279 Speaker 1: of Microsoft, Thanks for joining us, and that does it 642 00:36:20,360 --> 00:36:23,799 Speaker 1: for this edition of Bloomberg Technology Join us. Tomorrow we're 643 00:36:23,800 --> 00:36:27,640 Speaker 1: gonna be speaking with Jennifer te Hatta, CEO of Pager Duty, 644 00:36:27,800 --> 00:36:32,880 Speaker 1: along with Kirsten Green, founder of four Runner Ventures, about 645 00:36:33,120 --> 00:36:36,760 Speaker 1: where she's placing her biggest bets in this market. Plus 646 00:36:36,840 --> 00:36:40,960 Speaker 1: we listen to today's show on our new Bloomberg Technology podcast. Yes, 647 00:36:41,000 --> 00:36:43,560 Speaker 1: this show is now a podcast. You can find it 648 00:36:43,600 --> 00:36:48,240 Speaker 1: on the Terminal online, Apple, Spotify, my Heart. I've listened 649 00:36:48,239 --> 00:36:50,799 Speaker 1: to it myself and it's not bad, um, so I 650 00:36:50,800 --> 00:36:53,719 Speaker 1: hope you'll check it out. I'm Emily Jang in San Francisco. 651 00:36:54,280 --> 00:37:04,839 Speaker 1: This is Bloomberg. Which to kick the people? Which to kick? 652 00:37:05,120 --> 00:37:09,000 Speaker 1: The whip? Whip A whip, which a hig